Dericks Praise Shukla

Kumari, M., Kashyap, A., Kumar, A., & Shukla, D. P. (2026). Spatiotemporal Assessment of Forest Dynamics to Decipher Landscape Ecological Insights on Forest Fragmentation in Kangra region (2019-2025) using FRAGSTATS and Geospatial AI …. Environmental and Sustainability Indicators, 31, 101345. https://doi.org/10.1016/j.indic.2026.101345

Neupane, S., Bhandary, N. P., & Shukla, D. P. (2026). Physically Validated Rainfall Thresholds for Roadside Landslides Using SMAP Soil Moisture and Antecedent Rainfall Models. Geosciences, 16(4), 150. https://doi.org/10.3390/geosciences16040150

Varade, D., Shukla, D. P., Mandal, D., & Das, N. (2026). Editorial: Remote sensing applications in mountainous regions. Frontiers in Remote Sensing, 7, 1981032. https://doi.org/10.3389/frsen.2026.1981032

Dhiman, N., Singh, A., & Shukla, D. P. (2026). Understanding the role of lineament-controlled factors in landslide susceptibility: a machine learning approach in the Uhl Basin, Himachal Pradesh. Frontiers in Earth Science, 14, 1896285. https://doi.org/10.3389/feart.2026.1896285

Damaneh Javad, M., Fakhrabadi Seyed Mohammad, T., Hadi, M., Komeh, Z., & Shukla, D. P. (2026). Modeling wind erosion susceptibility of Eastern Iran using machine learning. PLOS One, 21(8), e0354288. https://doi.org/10.1371/journal.pone.0354288

Romana, H. K., Shukla, D. P., & Singh, R. P. (2026). Long-term variability of air quality and greenhouse gas emissions from rice crop burning in Punjab during 2012–2020. RSC Advances, 16(15), 13304–13319. https://doi.org/10.1039/d5ra09439a

Dhiman, N., Singh, A., K.C., N., Gupta, S. K., & Shukla, D. P. (2026). Identifying reactivation zones in the kotrupi landslide through UAV, satellite image and slope stability analysis. Scientific Reports, 16(1), 29626. https://doi.org/10.1038/s41598-026-55743-y

Awasthi, S., Jose, A., Barbhuiya, S., Taloor, A. K., Varade, D., Rai, A. K., Gupta, V., Sharma, M., & Shukla, D. P. (2026). Hydro-meteorological and infrastructural damage analysis of the 2025 Ramban cloudburst event in the North-Western Himalayan region of Jammu and Kashmir, India. International Journal of Disaster Risk Reduction, 138, 106126. https://doi.org/10.1016/j.ijdrr.2026.106126

Romana, H. K., Singh, R. P., & Shukla, D. P. (2026). Irrigation suitability and influence of rice cropping leading to over-extraction of groundwater in Punjab during 2000–2020. Advances in Space Research, 78(6), 6231–6251. https://doi.org/10.1016/j.asr.2026.07.059

Singh, A., Dhiman, N., Mahanta, K. K., & Shukla, D. P. (2026). Machine learning assisted risk assessment of building exposure to landslides. Artificial Intelligence in Geosciences, 7(4), 100274. https://doi.org/10.1016/j.aiig.2026.100274

Ashuli, A., Singh, A., Dhiman, N., Niraj, K. C., Dubey, C. S., Shekhar, S., & Shukla, D. P. (2025). Integration of active tectonic index and geomorphic parameters for landslides susceptibility mapping in the Barak River basin. Natural Hazards, 121(20), 23845–23875. https://doi.org/10.1007/s11069-025-07559-8

Rajput, U., Shukla, D. P., & Swami, D. (2025). Forecasting groundwater resources for future sustainability: a geospatial approach in the Himalayan Beas basin. Environmental Earth Sciences, 84(4), 104. https://doi.org/10.1007/s12665-025-12120-8

Mahanta, K. K., Pradhan, I. P., Dhiman, N., Singh, A., & Shukla, D. P. (2025). Investigating the first case of permafrost degraded subsidence in Lahaul & Spiti region of Tethyan Himalayas. scientific reports, 15(1), 19262. https://doi.org/10.1038/s41598-025-03921-9

Gupta, P., Shukla, A. K., & Shukla, D. P. (2025). Machine learning-based forest fire susceptibility mapping of Southern Mizoram, a part of Indo-Burma Biodiversity Hotspot. Environmental Science and Pollution Research, 32(59), 31433–31454. https://doi.org/10.1007/s11356-025-36621-y

Gupta, P., Shukla, A. K., & Shukla, D. P. (2025). Answer to “Comments on Machine learning-based forest fire susceptibility mapping of Southern Mizoram, a part of Indo-Burma Biodiversity Hotspot”. Environmental Science and Pollution Research, 32(36), 21791–21792. https://doi.org/10.1007/s11356-025-36831-4

Deb, P., Jha, R. K., Kumar, N., Kumar Vishal, M., Praise Shukla, D., Kalita, P. K., & Kanta Singh, L. (2025). Analyzing land use land cover dynamics under rapid urbanization using multi-temporal satellite imageries and geospatial technology for Jamshedpur city in India. Advances in Space Research, 75(3), 2810–2825. https://doi.org/10.1016/j.asr.2024.11.059

Pathak, B., Singh, A., Tiwari, R. K., & Shukla, D. P. (2025). Automated mapping of glacial lakes in Himachal Pradesh using multi source remote sensing data and machine learning. Scientific Reports, 15(1), 36619. https://doi.org/10.1038/s41598-025-20434-7

Gupta, P., Shukla, A. K., & Shukla, D. P. (2024). ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India. Earth and Space Science, 11(3), e2023EA003176. https://doi.org/10.1029/2023ea003176

Dubey, C. S., Usham, A. L., Raj, S., Kaur, D. P., Bansal, S., & Shukla, D. P. (2024). Utilization of Natural Zeolite (Scolecite) to Reduce Arsenic Contamination of Water in Relation to Machine Learning Approach. Water, Air, & Soil Pollution, 235(2), 129. https://doi.org/10.1007/s11270-024-06946-4

Raaj, S., Gupta, V., Singh, V., & Shukla, D. P. (2024). A novel framework for peak flow estimation in the himalayan river basin by integrating SWAT model with machine learning based approach. Earth Science Informatics, 17(1), 211–226. https://doi.org/10.1007/s12145-023-01163-9

Pradhan, I. P., & Shukla, D. P. (2024). Biennial analysis of probable permafrost distribution for Kullu district, North‐west Himalaya using Landsat 8 satellite data. Land Degradation and Development, 35(1), 360–377. https://doi.org/10.1002/ldr.4921

Gupta, V., Syed, B., Pathania, A., Raaj, S., Nanda, A., Awasthi, S., & Shukla, D. P. (2024). Hydrometeorological analysis of July-2023 floods in Himachal Pradesh, India. Natural Hazards, 120(8), 7549–7574. https://doi.org/10.1007/s11069-024-06520-5

Gupta, P., & Shukla, D. P. (2024). Implications of Russia–Ukraine war on land surface temperature and air quality: long-term and short-term analysis. Environmental Science and Pollution Research, 31(34), 46357–46375. https://doi.org/10.1007/s11356-024-32800-5

Gupta, P., & Shukla, D. P. (2024). Demi-decadal land use land cover change analysis of Mizoram, India, with topographic correction using machine learning algorithm. Environmental Science and Pollution Research, 31(21), 30569–30591. https://doi.org/10.1007/s11356-024-33094-3

Dash, A., Pradhan, I. P., Mahanta, K. K., Tiwari, N., & Shukla, D. P. (2024). Comprehensive assessment of rock glaciers in the Himachal Himalayas: Updated inventory and labelling. Progress in Physical Geography: Earth and Environment, 48(4), 571–594. https://doi.org/10.1177/03091333241263986

Singh, A., Dhiman, N., Niraj, K. C., & Shukla, D. P. (2024). “Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region”. Scientific Reports, 14(1), 29060. https://doi.org/10.1038/s41598-024-76541-4

Singh, A., Dhiman, N., K. C., N., & Shukla, D. P. (2024). Improving ML-based landslide susceptibility using ensemble method for sample selection: a case study of Kangra district in Himachal Pradesh, India. Environmental Science and Pollution Research, 32(59), 31180–31203. https://doi.org/10.1007/s11356-024-34726-4

Mahanta, K. K., Pradhan, I. P., Gupta, S. K., & Shukla, D. P. (2024). Assessing Machine Learning and Statistical Methods for Rock Glacier‐Based Permafrost Distribution in Northern Kargil Region. Permafrost and Periglac Process, 35(3), 262–277. https://doi.org/10.1002/ppp.2240

Pradhan, I. P., Mahanta, K. K., Tiwari, N., & Shukla, D. P. (2024). Rock glaciers as proxy for machine learning based debris‐covered glacier mapping of Kinnaur District, Himachal Pradesh. Earth Surface Processes and Landforms, 49(11), 3598–3619. https://doi.org/10.1002/esp.5888

Pradhan, I. P., Mahanta, K. K., Liou, Y.-A., Chauhan, A., & Shukla, D. P. (2024). Machine learning based high-resolution air temperature modelling from landsat-8, MODIS, and In-Situ measurements with ERA-5 inter-comparison in the data sparse regions of Himachal Pradesh. Bulletin of Atmospheric Science and Technology, 5(1), 22. https://doi.org/10.1007/s42865-024-00085-8

Gupta, P., Shukla, A. K., & Shukla, D. P. (2024). Sentinel 2 based burn severity mapping and assessing post-fire impacts on forests and buildings in the Mizoram, a north-eastern Himalayan region. Remote Sensing Applications: Society and Environment, 36, 101279. https://doi.org/10.1016/j.rsase.2024.101279

Singh, A., Ashuli, A., C, N. K., Dhiman, N., Dubey, C. S., & Shukla, D. P. (2023). Evaluating causative factors for landslide susceptibility along the Imphal-Jiribam railway corridor in the North-Eastern part of India using a GIS-based statistical approach. Environmental Science and Pollution Research, 31(41), 53767–53784. https://doi.org/10.1007/s11356-023-28966-z

Niraj, K. C., Chatterjee, R. S., & P. Shukla, D. (2023). Estimating the period of probable landslide event using advanced D-InSAR technique for time-series deformation study of Kotrupi region. Geomatics, Natural Hazards and Risk, 14(1), 2281245. https://doi.org/10.1080/19475705.2023.2281245

Romana, H. K., Singh, R. P., & Shukla, D. P. (2023). Spatio-temporal evolution of groundwater quality and its health risk assessment in Punjab (India) during 2000–2020. Environmental Science and Pollution Research, 31(28), 40285–40302. https://doi.org/10.1007/s11356-023-29200-6

Rani, L., Srivastav, A. L., Kaushal, J., Shukla, D. P., Pham, T. D., & van Hullebusch, E. D. (2023). Significance of MOF adsorbents in uranium remediation from water. Environmental Research, 236(2), 116795. https://doi.org/10.1016/j.envres.2023.116795

Niraj, K. C., Singh, A., & Shukla, D. P. (2023). Effect of the Normalized Difference Vegetation Index (NDVI) on GIS-Enabled Bivariate and Multivariate Statistical Models for Landslide Susceptibility Mapping. Journal of the Indian Society of Remote Sensing, 51(8), 1739–1756. https://doi.org/10.1007/s12524-023-01738-5

Singh, A., Chhetri, N. K., Nitesh, Gupta, S. K., & Shukla, D. P. (2023). Strategies for sampling pseudo-absences of landslide locations for landslide susceptibility mapping in complex mountainous terrain of Northwest Himalaya. Bulletin of Engineering Geology and the Environment, 82(8), 321. https://doi.org/10.1007/s10064-023-03333-x

Baisantry, M., Sao, A. K., & Shukla, D. P. (2022). Selection of shape-preserving, discriminative bands using supervised functional principal component analysis. International Journal of Remote Sensing, 43(10), 3868–3889. https://doi.org/10.1080/01431161.2022.2105174

Romana, H. K., Singh, R. P., Dubey, C. S., & Shukla, D. P. (2022). Analysis of Air and Soil Quality around Thermal Power Plants and Coal Mines of Singrauli Region, India. International Journal of Environmental Research and Public Health, 19(18), 11560. https://doi.org/10.3390/ijerph191811560

Mali, N., Shukla, D. P., & Kala, V. U. (2022). Identifying Geotechnical Characteristics for Landslide Hazard Indication: A Case Study in Mandi, Himachal Pradesh, India. Arabian Journal of Geosciences, 15(2), 144. https://doi.org/10.1007/s12517-022-09475-8

Gupta, S. K., & Shukla, D. P. (2022). Effect of scale and mapping unit on landslide susceptibility mapping of Mandakini River Basin, Uttarakhand, India. Environmental Earth Sciences, 81(14), 373. https://doi.org/10.1007/s12665-022-10487-6

Baisantry, M., Sao, A. K., & Shukla, D. P. (2022). Discriminative Spectral–Spatial Feature Extraction-Based Band Selection for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–14. https://doi.org/10.1109/tgrs.2021.3129841

Niraj, K. C., Gupta, S. K., & Shukla, D. P. (2022). A Comparison of Image-Based and Physics-Based Atmospheric Correction Methods for Extracting Snow and Vegetation Cover in Nepal Himalayas Using Landsat 8 OLI Images. Journal of the Indian Society of Remote Sensing, 50(12), 2503–2521. https://doi.org/10.1007/s12524-022-01616-6

Niraj, K. C., Gupta, S. K., & Shukla, D. P. (2022). Kotrupi landslide deformation study in non-urban area using DInSAR and MTInSAR techniques on Sentinel-1 SAR data. Advances in Space Research, 70(12), 3878–3891. https://doi.org/10.1016/j.asr.2021.11.042

Guleria, A., Gupta, S. K., & Shukla, D. P. (2022). Scenario-Based Analysis of Contaminant Plume Evolution in the Groundwater Using GIS-Based Approach: A Regional Case Study of Panchkula, India. Environmental Modeling & Assessment, 28(1), 121–132. https://doi.org/10.1007/s10666-022-09864-z

KC, N., Thapa, L., & Shukla, D. P. (2022). Processing CORONA image for generation of Digital Elevation Model (DEM) and orthophoto of Bilaspur district, Himachal Pradesh. Applied Geomatics, 15(1), 295–310. https://doi.org/10.1007/s12518-022-00453-z

Gupta, S. K., & Shukla, D. P. (2022). Handling data imbalance in machine learning based landslide susceptibility mapping: a case study of Mandakini River Basin, North-Western Himalayas. Landslides, 20(5), 933–949. https://doi.org/10.1007/s10346-022-01998-1

Dubey, C. S., Usham, A. L., Mishra, B. K., Shukla, D. P., Singh, P. K., & Singh, A. K. (2021). Anthropogenic arsenic menace in contaminated water near thermal power plants and coal mining areas of India. Environmental Geochemistry and Health, 44(3), 1099–1127. https://doi.org/10.1007/s10653-021-01010-0

Kumar, P., Dubey, C. S., Kumar, O., Shekhar, S., Shukla, D. P., & Ramanathan, A. L. (2021). Deciphering the role of meteorological parameters controlling the sediment load and water discharge in the Sutlej basin, Western Himalaya. Journal of Environmental Management, 298(1), 113413. https://doi.org/10.1016/j.jenvman.2021.113413

Pandey, A., Rai, A., Gupta, S. K., Shukla, D. P., & Dimri, A. P. (2021). Integrated approach for effective debris mapping in glacierized regions of Chandra River Basin, Western Himalayas, India. Science of the Total Environment, 779(1), 146492. https://doi.org/10.1016/j.scitotenv.2021.146492

Romana, H. K., Singh, R. P., & Shukla, D. P. (2020). Long term air quality analysis in reference to thermal power plants using satellite data In Singrauli Region, India. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2020, 829–834. https://doi.org/10.5194/isprs-archives-xliii-b3-2020-829-2020

Baisantry, M., Sao, A. K., & Shukla, D. P. (2020). Two-Level Band Selection Framework for Hyperspectral Image Classification. Journal of the Indian Society of Remote Sensing, 49(4), 843–856. https://doi.org/10.1007/s12524-020-01262-w

Baisantry, M., Sao, A. K., & Shukla, D. P. (2020). Band Selection Using Combined Divergence–Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13(1), 5011–5026. https://doi.org/10.1109/jstars.2020.3014784

Bhardwaj, S., Shukla, D. P., & Halder, A. (2020). Spatial distribution of uranium and chemo-radiological assessment in Hamirpur district, Himachal Pradesh, India. Journal of Radioanalytical and Nuclear Chemistry, 324 (2), 467–480. https://doi.org/10.1007/s10967-020-07088-7

Bhardwaj, S., Soni, R., Gupta, S. K., & Shukla, D. P. (2020). Mercury, arsenic, lead and cadmium in waters of the Singrauli coal mining and power plants industrial zone, Central East India. Environmental Monitoring and Assessment, 192(4), 251. https://doi.org/10.1007/s10661-020-8225-2

Guleria, A., Gupta, S. K., Gupta, I., Swami, D., & Shukla, D. P. (2019). Understanding the spatial and temporal dependence of the migration of conservative contaminant plume in urban groundwater environment in Panchkula region, Haryana, India. Groundwater for Sustainable Development, 8(1), 93–103. https://doi.org/10.1016/j.gsd.2018.10.003

Gupta, S. K., & Shukla, D. P. (2019). Evaluation of topographic correction methods for LULC preparation based on multi-source DEMs and Landsat-8 imagery. Spatial Information Research, 28(1), 113–127. https://doi.org/10.1007/s41324-019-00274-0

Soni, R., & Shukla, D. P. (2019). Synthesis of fly ash based zeolite-reduced graphene oxide composite and its evaluation as an adsorbent for arsenic removal. Chemosphere, 219(1), 504–509. https://doi.org/10.1016/j.chemosphere.2018.11.203

Soni, R., & Shukla, D. P. (2019). Data on Arsenic(III) removal using zeolite-reduced graphene oxide composite. Data in brief, 22(1), 871–877. https://doi.org/10.1016/j.dib.2019.01.004

Gupta, S. K., & Shukla, D. P. (2018). Application of drone for landslide mapping, dimension estimation and its 3D reconstruction. Journal of the Indian Society of Remote Sensing, 46(6), 903–914. https://doi.org/10.1007/s12524-017-0727-1

Usham, A. L., Dubey, C. S., Shukla, D. P., Mishra, B. K., & Bhartiya, G. P. (2018). Sources of Fluoride Contamination in Singrauli with Special Reference to Rihand Reservoir and its Surrounding. Journal of the Geological Society of India, 91(4), 441–448. https://doi.org/10.1007/s12594-018-0877-y

Gupta, S. K., Shukla, D. P., & Thakur, M. (2018). Selection of weightages for causative factors used in preparation of landslide susceptibility zonation (LSZ). Geomatics, Natural Hazards and Risk, 9(1), 471–487. https://doi.org/10.1080/19475705.2018.1447027

Pandey, A., Rai, A., Gupta, S. K., & Shukla, D. P. (2017). Hierarchical knowledge based classification (Hkbc) on Sentinel-2a data for glacier mapping of bhaga river basin, northwest himalaya. Red, 10, 665.

Kumar, D., Thakur, M., Dubey, C. S., & Shukla, D. P. (2017). Landslide susceptibility mapping & prediction using Support Vector Machine for Mandakini River Basin, Garhwal Himalaya, India. Geomorphology, 295(1), 115–125. https://doi.org/10.1016/j.geomorph.2017.06.013

Gupta, S. K., & Shukla, D. P. (2016). Assessment of land use/land cover dynamics of Tso Moriri Lake, a Ramsar site in India. Environmental monitoring and assessment, 188(1), 700. https://doi.org/10.1007/s10661-016-5707-3

Thoithoi, L., Dubey, C. S., Ningthoujam, P. S., Shukla, D. P., Singh, R. P., & Naorem, S. S. (2016). Liquefaction Potential Evaluation for Subsurface Soil Layers of Delhi Region. Journal of the Geological Society of India, 88(2), 147–150. https://doi.org/10.1007/s12594-016-0473-y

Swami, D., Sharma, A., Sharma, P. K., & Shukla, D. P. (2016). Predicting suitability of different scale-dependent dispersivities for reactive solute transport through stratified porous media. Journal of Rock Mechanics and Geotechnical Engineering, 8(6), 921–927. https://doi.org/10.1016/j.jrmge.2016.07.005

Ningthoujam, P. S., Dubey, C. S., Lolee, L. K., Shukla, D. P., Naorem, S. S., & Singh, S. K. (2015). Tectonic studies and crustal shortening across Easternmost Arunachal Himalaya. Journal of Asian Earth Sciences, 111(1), 339–349. https://doi.org/10.1016/j.jseaes.2015.07.003

Mishra, B. K., Dubey, C. S., Shukla, D. P., Bhattacharya, P., & Usham, A. L. (2014). Concentration of arsenic by selected vegetables cultivated in the Yamuna flood plains (YFP) of Delhi, India. Environmental Earth Sciences, 72(9), 3281–3291. https://doi.org/10.1007/s12665-014-3232-7

Dubey, C. S., Shukla, D. P., Ningreichon, A. S., & Usham., A. L. (2013). OROGRAPHIC CONTROL OF THE KEDARNATH DISASTER. Current Science, 105(11), 1474–1476. https://www.jstor.org/stable/24098845

Shukla, D. P., Dubey, C. S., Ningreichon, A. S., Singh, R. P., Mishra, B. K., & Singh, S. K. (2013). GIS-based morpho-tectonic studies of Alaknanda river basin: a precursor for hazard zonation. Natural Hazards, 71(3), 1433–1452. https://doi.org/10.1007/s11069-013-0953-y

Singh, R. P., Dubey, C. S., Singh, S. K., Shukla, D. P., Mishra, B. K., Tajbakhsh, M., Ningthoujam, P. S., Sharma, M., & Singh, N. (2013). A new slope mass rating in mountainous terrain, Jammu and Kashmir Himalayas: application of geophysical technique in slope stability studies. Landslides, 10(3), 255–265. https://doi.org/10.1007/s10346-012-0323-y

Shukla, D. P. (2013). Liquefaction Study of Subsurface Soil in Part of Delhi University, North Campus. International Journal of Advancement in Earth and Environmental Science, 1(1), 14–22. https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=8BvmOPEAAAAJ&cstart=20&pagesize=80&sortby=pubdate&citation_for_view=8BvmOPEAAAAJ:eQOLeE2rZwMC

Banerjee, D. M., Mukherjee, A., Acharyya, S. K., Chatterjee, D., Mahanta, C., ... (2012). Contemporary groundwater pollution studies in India: a review. Proc. Indian Natl. Sci. Acad, 78(3), 333–342.

Dubey, C. S., Mishra, B. K., Shukla, D. P., Singh, R. P., Tajbakhsh, M., & Sakhare, P. (2012). Anthropogenic arsenic menace in Delhi Yamuna Flood Plains. Environmental Earth Sciences, 65(1), 131–139. https://doi.org/10.1007/s12665-011-1072-2

Shukla, D. P., Dubey, C. S., & Singh, N. (2012). Neotectonic activity and the origin of Tso Morari Lake using remote sensing and digital elevation model (DEM) derivative techniques. Geocarto International, 27(3), 249–262. https://doi.org/10.1080/10106049.2011.642412

Ningthoujam, P. S., Dubey, C. S., Guillot, S., Fagion, A. S., & Shukla, D. P. (2012). Origin and serpentinization of ultramafic rocks of Manipur Ophiolite Complex in the Indo-Myanmar subduction zone, Northeast India. Journal of Asian Earth Sciences, 50(1), 128–140. https://doi.org/10.1016/j.jseaes.2012.01.004

Dubey, C. S., Shukla, D. P., Singh, R. P., Sharma, M., Ningthoujam, P. S., & Bhola, A. M. (2012). Present activity and seismogenic potential of Himalayan sub‐parallel thrust faults in Delhi: inferences from remote sensing, GPR, gravity data and seismicity. Near Surface Geophysics, 10(5), 369–380. https://doi.org/10.3997/1873-0604.2012006

Shukla, D. P., Dubey, C. S., Singh, N. P., Tajbakhsh, M., & Chaudhry, M. (2010). Sources and controls of Arsenic contamination in groundwater of Rajnandgaon and Kanker District, Chattisgarh Central India. Journal of Hydrology, 395(1-2), 49–66. https://doi.org/10.1016/j.jhydrol.2010.10.011

Cina, S. E., Yin, A., Grove, M., Dubey, C. S., Shukla, D. P., Lovera, O. M., Kelty, T. K., Gehrels, G. E., & Foster, D. A. (2009). Gangdese arc detritus within the eastern Himalayan Neogene foreland basin: implications for the Neogene evolution of the Yalu–Brahmaputra River system. Earth and Planetary Science Letters, 285(1-2), 150–162. https://doi.org/10.1016/j.epsl.2009.06.005

Shukla, D. (2008). Active tectonics and origin of Tso Morari Lake observed by Remote sensing and GIS techniques. Himalayan Journal of Sciences.

Singh, A., Dhiman, N., & Shukla, D. P. (2026). Real-Time Landslide Nowcasting System for the Western Himalayan Region. In 2026 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) (pp. 1–4). https://doi.org/10.1109/migars72065.2026.11688970

Singh, A., Dhiman, N., Pathak, B., & Shukla, D. P. (2026). Machine Learning–Driven Landslide Nowcasting for Operational Early Warning in the Himalayan Region. In EGU26. https://doi.org/10.5194/egusphere-egu26-16487

Pathak, B., Singh, A., Dhiman, N., Mahanta, K. K., & Shukla, D. D. P. (2026). Low-Cost Sonar-Based Bathymetry for Morphometric Analysis of Himalayan High-Altitude Lakes. In EGU26. https://doi.org/10.5194/egusphere-egu26-16489

Thakur, M., Singh, A., Jamwal, R., Pathak, B., Sud, A., & Shukla, D. P. (2026). Frequency Ratio and ANN-Based Flood Susceptibility Assessment in the Seraj Region. In 2026 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) (pp. 1–4). https://doi.org/10.1109/migars72065.2026.11688249

Pathak, B., Pradhan, I. P., & Shukla, D. P. (2026). Elevation-Dependent Temperature Variability of Lakes in the Northwestern Himalaya (2015-2025). In 2026 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) (pp. 1–4). https://doi.org/10.1109/migars72065.2026.11689241

Verma, A., Singh, A., Pathak, B., Dhiman, N., Mahanta, K. K., & Shukla, D. P. (2026). Exposure-Adjusted Landslide Susceptibility of Uttarakhand. In 2026 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) (pp. 1–4). https://doi.org/10.1109/migars72065.2026.11689466

Mahanta, K. K., Pradhan, I., & Shukla, D. P. (2026). Active Layer Thickness Estimation of Northwestern Himalayas using Time-Series InSAR and Ground Penetrating Radar. In 46th COSPAR Scientific Assembly. Held 1-9 August 46, 84.

Pathak, B., Gupta, G., Ali, S. N., Pandey, P., Tiwari, R. K., & Shukla, D. P. (2026). Assessing Glacial Lake Outburst Flood Susceptibility in the Northwestern Himalaya Using Multi-Criteria Decision Analysis. In 2026 International Conference on Machine Intelligence for GeoAnalytics and. https://doi.org/10.22541/essoar.15009913/v1

Dhiman, N., Singh, A., Mahanta, K. K., Pathak, B., & Shukla, D. P. (2026). Comparative Assessment of Landslide Deformation Using UAV-derived DSM differencing and InSAR: A Case Study from the Prashar Landslide site, Himachal Pradesh. In EGU26. https://doi.org/10.5194/egusphere-egu26-16532

Mahanta, K. K., & Shukla, D. P. (2026). Integrating Geophysical and Remote Sensing Techniques for Mountain Permafrost mapping in the Northwestern Himalaya. In EGU26. https://doi.org/10.5194/egusphere-egu26-10206

Dhiman, R., Giri, A., Shukla, D. P., Chembolu, V., & Kulkarni, H. V. (2025). Understanding the geochemical changes induced by landslides in the solute chemistry of the river systems of northwestern Himalayas. In AGU Fall Meeting Abstracts 2025, EP23D-VR8781.

Shukla, P., Shukla, D. P., Klampt, S., & Kimura, D. (2025). Finetuning Geospatial Foundation Model for Wildfire Scars in Himalayan Region. In IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium (pp. 3153–3157). https://doi.org/10.1109/igarss55030.2025.11243934

Guleria, S., Shukla, D. P., & Guleria, R. (2024). Rainfall dynamics in the northwestern Indian Himalaya: Insights from a 40-year analysis (1983–2022) using MERRA-2/GEOS assimilation model application. In 45th COSPAR Scientific Assembly. Held 13-21 July 45, 140.

Shukla, P., Klampt, S., Simumba, N., Kimura, D., & Shukla, D. P. (2024). Comparison of Geospatial foundation model based mapped burn scars with predicted forest fire susceptible locations using environmental factors. In AGU Fall Meeting Abstracts 2024, IN52A-03.

Singh, A., Dhiman, N., & Shukla, D. P. (2024). Machine learning-based characterization of landslides in complex mountainous terrain of northwestern Himalayas. In 45th COSPAR Scientific Assembly. Held 13-21 July 45, 43.

Raaj, S., Gupta, V., Singh, V., & Shukla, D. (2024). Integrating machine learning technique with SWAT model to optimize the prediction of peak flow in the Beas River basin, India. In EGU24. https://doi.org/10.5194/egusphere-egu24-15808

Gupta, P., & Shukla, D. P. (2024). Forest Fire Susceptibility Mapping Using Climatic, Topographical, Biophysical, and Anthropogenic Factors in Google Earth Engine for forest in North-Eastern Himalayas. In 45th COSPAR Scientific Assembly. Held 13-21 July 45, 42.

Dhiman, N., Singh, A., Mahanta, K. K., & Shukla, D. P. (2024). Estimating the rate of land subsidence using PS-inSAR in North western Himalaya. In 45th COSPAR Scientific Assembly. Held 13-21 July 45, 46.

Romana, H. K., & Shukla, D. P. (2024). Declining trend of groundwater level associated with the groundwater quality in the Punjab State and its impact on public health. In Chapman Conference on Remote Sensing of the Water Cycle.

Pradhan, I., Mahanta, K. K., & Shukla, D. P. (2024). SAR-based Machine Learning-Driven Debris-Covered Glacier Mapping of the Bhaga Basin, Western Himalayas, India. In 45th COSPAR Scientific Assembly. Held 13-21 July 45, 123.

Singh, A., Dhiman, N., & Shukla, D. P. (2024). Transfer Learning in Landslide Susceptibility Mapping: Bridging Data-Rich and Data-Scarce Regions in the Northwestern Himalayas. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 3253–3256). https://doi.org/10.1109/igarss53475.2024.10641843

Mahanta, K. K., Pradhan, I. P., Gupta, S. K., Shukla, D. P., & Gupta, N. (2024). Monitoring the spatial and temporal patterns of rock glacier melt induced subsidence using Multi-Temporal Interferometric Synthetic Aperture Radar techniques. In 45th COSPAR Scientific Assembly. https://cospar2024.org/. Abstract A0.4-0013-24

Jha, S. K., Shukla, Y., Shukla, D. P., & Gupta, V. (2024). Time series analysis of optical and microwave data for comprehensive crop monitoring. In Roorkee Water Conclave. https://www.iitr.ac.in/rwc/docs/Program_Book_4March_24.pdf

Rajput, U., Shukla, D. P., & Swami, D. (2024). Delineation of Groundwater Potential Zones for Sustainable Extraction and Recharge. In AGU23. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=dIGKHfEAAAAJ&sortby=pubdate&citation_for_view=dIGKHfEAAAAJ:BqipwSGYUEgC

Thahira, U., & Shukla, D. P. (2023). Geomorphic Analysis of an Unnamed Crater in The Diarcia Quadrangle(MC-2): For The Presence of Water Ice Signatures Using Sharad Radargrams. In 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) (pp. 1–4). https://doi.org/10.1109/ingarss59135.2023.10490418

Gupta, N., Mahanta, K. K., & Shukla, D. P. (2023). Urban flood vulnerability mapping and assessment of National capital territory, Delhi. In AGU23.

Singh, A., Kc, N., & Shukla, D. P. (2023). Assessment of Landslide Susceptibility in NH-3 Kullu-Manali Highway using Support Vector Machine (SVM) and Predisposing Factors. In AGU23.

DASH, A., Pradhan, I. P., Tiwari, N., & Shukla, D. P. (2023). Updated rock glacier labelled inventory of Himachal Pradesh. In AGU Fall Meeting Abstracts 2023 (1065), C53C-1065.

Bilal, S. B., & Gupta, V. (2023). Unraveling the Patterns: A Comprehensive Study on Drought Propagation in India. In AGU Fall Meeting Abstracts 2023, H08-11. https://doi.org/10.22541/essoar.171322591.14449386/v1

Gupta, P., & Shukla, D. P. (2023). Combined Optical and SAR remote sensing for LULC mapping of Imphal valley using Machine Learning Algorithm. In 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) (pp. 1–4). https://ieeexplore.ieee.org/abstract/document/10064582

Singh, A., & Shukla, D. P. (2023). Role of Joint spacings of the strata in Landslide occurrences in the vicinity of IIT Mandi. In AGU23.

Mahanta, K. K., Pradhan, I. P., Gupta, S. K., & Shukla, D. P. (2023). Quantitative Risk Assessment of Geohazards along the proposed Leh-Manali Railway Line for Sustainable Railway Management. In AGU23.

Gupta, P., Shukla, A. K., & Shukla, D. P. (2023). Mapping forest fire susceptibility in Lengteng wildlife sanctuary, an Indo-Burma UNESCO biodiversity hotspot. In AGU fall meeting abstracts 2023 (801), NH31D-0801.

Tiwari, N., Pradhan, I. P., & Shukla, D. P. (2023). Identifying glacier lake dynamics and vulnerable zones for GLOF using AHP. In AGU fall meeting abstracts 2023 (1086), C11E-1086.

Raaj, S., Gupta, V., Singh, V., & Shukla, D. P. (2023). Enhancing Peak Flow Prediction in Beas River Basin, India by Integrating SWAT Model with machine Learning. In AGU Fall Meeting Abstracts 2023 (2194), H43I-2194.

Pradhan, I. P., Mahanta, K. K., Tiwari, N., & Shukla, D. P. (2023). Debris-covered Glacier mapping using Random Forest algorithm of Kinnaur district, Himachal Pradesh. In AGU23.

Mahanta, K. K., Singh, A., Gupta, S. K., & Shukla, D. P. (2023). Tracking and Investigating Land Subsidence in Himalayan town using PSInSAR techniques: Lessons from Joshimath. In XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG). https://doi.org/10.57757/iugg23-4156

Pradhan, I. P., Mahanta, K. K., Gupta, P., & Shukla, D. P. (2023). Machine Learning based probable Permafrost mapping of Higher Himalayas in Kinnaur district, Himachal Pradesh. In European Conference on Permafrost. https://eucop2023.com/wp-content/uploads/2023/06/EUCOP2023-ABSTRACTS.pdf

Mahanta, K. K., Pradhan, I. P., Singh, A., Gupta, S. K., & Shukla, D. P. (2023). Integrating Machine Learning and Statistical methods to enhance rock glacier-based Permafrost prediction in Northern Kargil regions. In EUCOP6 (pp. 221).

Tiwari, N., Singh, R., Gupta, V., & Shukla, D. P. (2023). Catastrophic 2023 floods of himachal pradesh: a scientific overview of 20 years precipitation data. In AGU Fall Meeting Abstracts 2023, NH33B-07.

Gupta, S. K., Pradhan, I. P., & Shukla, D. P. (2023). Impact of topography, climate, and ground-ice thaw on dynamics of shallow-slow-moving landslides in the Himalayas: a review of status and way forward. In XXI INQUA Congress 2023. https://inquaroma2023.org/conference-sessions/

Niraj, K. C., Singh, A., & Shukla, D. P. (2023). Improved Landslide Susceptibility mapping using statistical MLR model. In 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) (pp. 1–4). https://doi.org/10.1109/migars57353.2023.10064594

Romana, H. K., Singh, R., & Shukla, D. P. (2023). Agricultural Practices in the western parts of Indo-Gangetic Plains affecting the land-soil-ground water quality during 2000-2020. In AGU23.

Pradhan, I. P., & Shukla, D. P. (2022). Assessment of the Accuracy of Satellite-Derived Land Surface Temperature with IMD In-Situ Air Temperature: A Case Study for Kullu Region, Himachal Pradesh, India. In The International Geoscience and Remote Sensing Symposium (IGARSS), 2022 (pp. 40–43). https://doi.org/10.1109/igarss46834.2022.9884649

Kc, N., Singh, A., Pradhan, I. P., Gupta, P., Mahanta, K. K., & Shukla, D. P. (2022). Limit Equilibrium Method based Slope Stability analysis in the vicinity of Kotrupi area, Mandi. In AGU Fall Meeting Abstracts (pp. EP25C–1412). https://ui.adsabs.harvard.edu/abs/2022AGUFMEP25C1412./abstract

Pradhan, I. P., & Shukla, D. P. (2022). MAPPING PERMAFROST DISTRIBUTION IN THE PARVATI VALLEY, KULLU USING LANDSAT 8 DERIVED LAND SURFACE TEMPERATURE. In International Society for Photogrammetry and Remote Sensing 2022 (pp. 779–784). https://doi.org/10.5194/isprs-archives-xliii-b3-2022-779-2022

Romana, H. K., & Shukla, D. P. (2022). THE PAST, PRESENT AND FUTURE OF CO 2 , NO 2 , SO 2 & CH 4 IN PUNJAB REGION, INDIA. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 743–748). https://doi.org/10.5194/isprs-archives-xliii-b3-2022-743-2022

Singh, A., Gupta, S. K., Nitesh, & Shukla, D. P. (2022). Estimating Suitable Categorization Method for Landslide Susceptibility Mapping of Mandi District. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 5481–5484). https://doi.org/10.1109/igarss46834.2022.9884424

Chauhan, A., Singh, R. P., Matsumi, Y., Hayashida, S., Nakayama, T., Gupta, S. K., & Shukla, D. P. (2022). Variability of the Particulate Matter Concentration in the Northern Parts of India Using Low-Cost Sensors. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 6686–6689). https://doi.org/10.1109/igarss46834.2022.9884246

Romana, H. K., Shukla, D. P., & Singh, R. P. (2022). Deteriorating air and water quality of Punjab region during 2017 to 2021, using ground and satellite data. In AGU Fall Meeting Abstracts (pp. GH35A–0661). https://ui.adsabs.harvard.edu/abs/2022AGUFMGH35A0661R/abstract

Singh, A., Gupta, P., Pradhan, I. P., Mahanta, K. K., & Shukla, D. P. (2022). Evaluating the effect of different sampling ratio on landslide susceptibility mapping of Kangra District. In AGU Fall Meeting Abstracts (pp. NH25D–0484). https://ui.adsabs.harvard.edu/abs/2022AGUFMNH25D0484S/abstract

Adaphro, A., Dubey, C. S., Shekhar, S., Piuthaime, G. Z., & Shukla, D. P. (2022). Tectono-Geomorphic assessment in the Barak River Basin of Western Hills of Manipur, using Remote Sensing and GIS techniques. In AGU Fall Meeting Abstracts (pp. T12E–0138). https://ui.adsabs.harvard.edu/abs/2022AGUFM.T12E0138A/abstract

Rai Bansal, A., & Shukla, D. P. (2022). Variation in Average Surface Velocity Estimation of Tidal and Mountain glacier using optical and SAR microwave Remote Sensing. In AGU Fall Meeting Abstracts (pp. C55C–0409). https://ui.adsabs.harvard.edu/abs/2022AGUFM.C55C0409R/abstract

Gupta, P., & Shukla, D. P. (2022). Time series Annual Land Use/ Land Cover mapping and change analysis of Mizoram using Machine Learning algorithm. In North East Research Conclave 2022. https://iitg.ac.in/rnd/nerc/assets/00_nerc-technical-sessions-minute-by-minute-final-schedule.pdf

Mahanta, K. K., Pradhan, I. P., Gupta, S. K., Singh, A., Gupta, P., & Shukla, D. P. (2022). Permafrost in Northern Hemisphere are shrinking at higher rate than in Southern Hemisphere. In AGU Fall Meeting 2022. https://ui.adsabs.harvard.edu/abs/2022AGUFMEP42A..47M/abstract

Pradhan, I. P., Joshi, M., Mahanta, K. K., Gupta, P., Singh, A., & Shukla, D. P. (2022). Evaluation of the probable permafrost distribution of Kinnaur district, Himachal Pradesh. In AGU Fall Meeting 2022. https://ui.adsabs.harvard.edu/abs/2022AGUFMEP42A..44P/abstract

Joshi, M., Pradhan, I. P., & Shukla, D. P. (2022). Permafrost Distribution Mapping Using the Revised and Updated Rock Glacier Inventory of Himachal Pradesh, India. In AGU Fall Meeting 2022. https://ui.adsabs.harvard.edu/abs/2022AGUFMEP42A..43J/abstract

Gupta, P., Shukla, A. K., Pradhan, I. P., Singh, A., Mahanta, K. K., & Shukla, D. P. (2022). Rising Temperature of Ukraine due to Russia-Ukraine war 2022. In In Fall Meeting 2022 AGU. https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1143474

Pradhan, I. P., & Shukla, D. P. (2022). Behaviour of Global Permafrost regions in the warming climate of last 2 decades. In Cryosphere 2022. https://www.researchgate.net/publication/371595072_Behaviour_of_Global_Permafrost_regions_in_the_warming_climate_of_last_2_decades

Gupta, P., & Shukla, D. P. (2022). Google earth engine based temporal analysis of indices used for forest fire study in Mizoram, India. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 493–499). https://isprs-archives.copernicus.org/articles/XLIII-B3-2022/493/2022/isprs-archives-XLIII-B3-2022-493-2022.html

Gupta, P., Shukla, A. K. K., Shukla, D. P., Pradhan, I. P., Singh, A., & Mahanta, K. K. (2022). Local warming increased up to 3° C due to forest fires in various parts of the world between 2019 and 2021. In AGU fall meeting abstracts 2022, NH44F-03.

Shukla, D., Shukla, P., & Shukla, A. (2021). Temporal analysis of various indices and LST for forest fire study in parts of Mizoram region using Google Earth Engine. In AGU Fall Meeting Abstracts (pp. H55X–1014). https://ui.adsabs.harvard.edu/abs/2021AGUFM.H55X1014S/abstract

Pradhan, I., & Shukla, D. (2021). Long- and Short-term temporal analysis of satellite-derived Permafrost terrains of Himachal Pradesh, India. In AGU Fall Meeting 2021. https://ui.adsabs.harvard.edu/abs/2021AGUFM.C35F0935P/abstract

Shukla, D., & Rai, A. (2021). Evaluation and Ranking of different gridded rainfall-interpolation combination for large Himalayan watershed using entropy based weighted sum model. In AGU Fall Meeting Abstracts (pp. H35T–1271). https://ui.adsabs.harvard.edu/abs/2021AGUFM.H35T1271S/abstract

Gupta, S. K., Shukla, D. P., & Singh, N. (2020). Reconnaissance and Characterization of Discontinuities in a Landslide using UAV and Structure from Motion. In AGU Fall Meeting Abstracts (pp. IN043–0006). https://ui.adsabs.harvard.edu/abs/2020AGUFMIN0430006G/abstract

Gupta, S. K., & Shukla, D. P. (2020). Data Imbalance in Landslide Susceptibility Zonation: A Case Study of Mandakini River Basin, Uttarakhand, India. In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 5234–5237). https://doi.org/10.1109/igarss39084.2020.9323230

Rai, A., Singh, R. P., & Shukla, D. P. (2020). Source Characterization of Aerosols and Trends During 2000–2019 Over Delhi (India). In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 5517–5520). https://doi.org/10.1109/igarss39084.2020.9323348

Niraj K.C., Thapa, L., & Shukla, D. P. (2020). FATE OF AGRICULTURAL AREAS OF KAILALI DISTRICT OF NEPAL: A TEMPORAL LAND USE LAND COVER CHANGE (LUCC) ANALYSIS. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 1601–1606). https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1601-2020

Gupta, S. K., Jhunjhunwalla, M., Bhardwaj, A., & Shukla, D. P. (2020). DATA IMBALANCE IN LANDSLIDE SUSCEPTIBILITY ZONATION: UNDER-SAMPLING FOR CLASS-IMBALANCE LEARNING. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 51–57). https://isprs-archives.copernicus.org/articles/XLII-3-W11/51/2020/isprs-archives-XLII-3-W11-51-2020.pdf

Singh, N., Gupta, S. K., & Shukla, D. P. (2020). ANALYSIS OF LANDSLIDE REACTIVATION USING SATELLITE DATA: A CASE STUDY OF KOTRUPI LANDSLIDE, MANDI, HIMACHAL PRADESH, INDIA. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 137–142). https://doi.org/10.5194/isprs-archives-xlii-3-w11-137-2020

Romana, H. K., Shukla, D. P., & Singh, R. (2020). COVID-19: Boon for Environment Bane for Economy. Air quality Assessment of Punjab during Lockdown. In AGU Fall Meeting Abstracts (pp. A058–0015). https://ui.adsabs.harvard.edu/abs/2020AGUFMA058.0015R/abstract

Gupta, S. K., & Shukla, D. P. (2019). Solving Data Imbalance in Landslide Susceptibility Zonation. In AGU Fall Meeting Abstracts (pp. NH21C–0984). https://ui.adsabs.harvard.edu/abs/2019AGUFMNH21C0984G/abstract

Sharma, R., & Shukla, D. P. (2019). Estimation of geo-mechanical properties of grains in Mandi granite using nano-indentation. In 4th Indian conference on Applied Mechanics-2019 (pp. 703–707). https://www.researchgate.net/publication/45534643

Jhunjhunwalla, M., Gupta, S. K., & Shukla, D. P. (2019). Landslide Susceptibility Zonation (LSZ) Using Machine Learning Approach for DEM Derived Continuous Dataset. In Recent Trends in Image Processing and Pattern Recognition: Second International Conference (pp. 505–519). https://doi.org/10.1007/978-981-13-9187-3_45

Gupta, V., Gupta, S. K., & Shukla, D. P. (2019). Optimal Selection of Bands for Hyperspectral Images Using Spectral Clustering. In Recent Trends in Image Processing and Pattern Recognition: Second International Conference (pp. 288–304). https://doi.org/10.1007/978-981-13-9181-1_26

Jalali, A., & Shukla, D. P. (2019). Snow Grain Size Estimation of a Site in the Indian Himalayan Region Using Hyperspectral Remote Sensing : Aviris-NG Data. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 4080–4083). https://doi.org/10.1109/igarss.2019.8898157

Singh, R. P., Shukla, D. P., Chauhan, A., Gupta, S. K., & Singh, N. (2019). Monitoring the Himalayan Atmospheric Environment using satellite and ground observations. In AGU Fall Meeting Abstracts (pp. C51B–1274). https://ui.adsabs.harvard.edu/abs/2019AGUFM.C51B1274S/abstract

Gupta, S. K., Singh, N., Shukla, D. P., & Singh, R. P. (2019). Morphological Mapping of 13 August 2017 Kotropi Landslide using Images and Videos from Drone and Structure from Motion. In AGU Fall Meeting Abstracts (pp. H11H–1572). https://ui.adsabs.harvard.edu/abs/2019AGUFM.H11H1572G/abstract

Singh, N., Gupta, S. K., Shukla, D. P., & Singh, R. P. (2019). Understanding the Onset of Monsoon over Coastal and Himalayan States of India using Temperature, Rainfall and Water Vapor Parameters. In AGU Fall Meeting Abstracts (pp. GC33E–1446). https://ui.adsabs.harvard.edu/abs/2019AGUFMGC33E1446G/abstract

Baisantry, M., Sao, A. K., & Shukla, D. P. (2018). Two-Level Feature Extraction Framework for Hyperspectral Image Classification. In 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (pp. 1–5). https://doi.org/10.1109/whispers.2018.8747075

Baisantry, M., Shukla, D. P., & Bansal, G. (2017). Evaluation of Object-based Image Analysis Softwares for segmentation in Remote Sensing Applications. In The 20th AGILE International Conference on Geographic Information Science.

Gupta, S. K., & Shukla, D. P. (2017). UTILIZATION OF TANDEM-X DEM FOR TOPOGRAPHIC CORRECTION OF SENTINEL-2 SATELLITE IMAGE. In Observing a Changing Earth; Science for Decisions— Monitoring, Assessment, and Projection. https://www.asprs.org/a/publications/proceedings/Pecora20/GUPTA_S.pdf

Baisantry, M., & Shukla, D. P. (2017). COMPARISON OF DIFFERENT SIMILARITY MEASURES FOR SELECTION OF OPTIMAL, INFORMATION-CENTRIC BANDS OF HYPERSPECTRAL IMAGES. In Observing Changing Earth, Sci. Decis. Monit., Assessment, Projection.

Gupta, S. K., & Shukla, D. P. (2017). 3D Reconstruction of a Landslide by Application of UAV & Structure from Motion. In 20th AGILE conference on geographic information science (pp. 9–12). https://agile-online.org/images/conferences/2017/documents/shortpapers/124_ShortPaper_in_PDF.pdf

Shukla, D. P., Dubey, C. S., Singh, R. P., Mishra, B. K., & Luthra, T. (2012). GLOF susceptibility of Sikkim Himalayas. In 27th Himalaya-Karakoram-Tibet Workshop (HKT). https://d1wqtxts1xzle7.cloudfront.net/30567709/vol45spe-libre.pdf?1391844098=&response-content-disposition=inline%3B+filename%3DLumla_window_Eastern_Himalaya_stratigrap.pdf&Expires=1691761796&Signature=KufVeQcbrDaH0HpbSoVHy399gQ9E2qjhQS45jwiMshsKEpuzHYCeGnbUvj3tmQsHTiy3s1DDge-tCF7qEWtcNBw9P6ySSS8jlxeRpvEZ9HQfirI3q1K-N6uAR9kEx0MO3P-txd8kpL5rPJq5IgS5oBiowGz4VRVBX-1NNoWkAE8Bh7xU8CRNDtUNsodDbb9WFaTptItzRiv05k8wO-lh6dxLisRrxXyRbCQaliNIJjzFfAGicIXa~MwBJ59eVhnQHCXrKHb43aJ5es6JUYqxIIettWrtK8er8egazVMZib5ZZLy2nk2KXlKnxnyAJX1rxw9vo~1-go~YzqV5-Hqx~Q__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA#page=53

Usham, A. L., Dubey, C. S., Ningthoujam, P. S., Mishra, B. K., Shukla, D. P., Singh, R. P., Naorem, S. S., Thoithoi, L., & Singh, N. (2012). Source of arsenic contamination in kakching area, Manipur. In Conference Proceedings on 1st Annual International Conference on Geological & Earth Sciences. https://doi.org/10.5176/2251-3361_geos12.53

Raaj, S., Yadav, S., Shukla, D. P., & Gupta, V. (2025). Assessment of Flood Hazard and Vulnerability Zone Using GIS and MCDM Techniques in Banda and Hamirpur District. In Lecture Notes in Civil Engineering (pp. 95–111). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-7467-8_7

Soni, R., Shukla, D. P., & Drouiche, N. (2024). Sustainable approaches to heavy metal removal from water. In Role of Green Chemistry in Ecosystem Restoration to Achieve Environmental Sustainability (pp. 179–189). Elsevier. https://doi.org/10.1016/b978-0-443-15291-7.00020-1

Soni, R., Aggrawal, S., & Shukla, D. P. (2022). Water scarcity in megacities of the Asian continent. In Current Directions in Water Scarcity Research, 6 (pp. 299–317).

Soni, R., Bhardwaj, S., & Shukla, D. P. (2020). Various water-treatment technologies for inorganic contaminants: current status and future aspects. In Inorganic Pollutants in Water (pp. 273–295).

Bhardwaj, S., & Shukla, D. P. (2020). Policy and regulatory framework for inorganic contaminants. In Inorganic Pollutants in Water (pp. 51–71). Elsevier. https://doi.org/10.1016/b978-0-12-818965-8.00004-4

Singh, N. S., Gupta, S. K., Dubey, C. S., & Shukla, D. P. (2020). An Ordinal Scale Weighting Approach for Susceptibility Mapping Around Tehri Dam, Uttarakhand, India. In ICL Contribution to Landslide Disaster Risk Reduction (pp. 163–172). https://doi.org/10.1007/978-3-030-60227-7_18

Soni, R., Soni, M., & Shukla, D. P. (2019). Emerging techniques and materials for water pollutants detection. In Sensors in Water Pollutants Monitoring: Role of Material (pp. 277–297).

Shukla, D. P. (2017). Introductory chapter: Geomorphology. In Hydro-Geomorphology - Models and Trends.

Shukla, D. P., & Gupta, S. K. (2016). Geo-spatial technology for landslide hazard zonation and prediction. In Environmental Applications of Remote Sensing (pp. 281–308). https://books.google.co.in/books?hl=en&lr=&id=Wm-QDwAAQBAJ&oi=fnd&pg=PA281&dq=info:xYECrpu6D2YJ:scholar.google.com&ots=CkFcbPj9cW&sig=1p7zmDQJsMWFKxF0qp9h9sCocPE&redir_esc=y#v=onepage&q&f=false

Shukla, D. (2017). Hydro-Geomorphology: Models and Trends. BoD–Books on Demand. https://doi.org/10.5772/65532