Name: Pooja Sharma
Enrolment No.: D22176
Admission year: 2023
Research Interests: Remote Sensing and GIS
Supervisor:
Journal Article
| 1 | Singh , A., Chhetri, K, N., , N., Gupta, K, S., & Shukla, P, D. (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), 1-21. https://link.springer.com/article/10.1007/s10064-023-03333-x | View More |
| 2 | Gupta, K, S., Shukla, P, D., , N., & Gupta, K, S. (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 | View More |
| 3 | Chhetri, K, N., Gupta, K, S., & Shukla, P, D. (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 | View More |
| 4 | Chhetri, K, N., Gupta, K, S., & Shukla, P, D. (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 | View More |
| 5 | Gupta, K, S., & Shukla, P, D. (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 | View More |
| 6 | Baisantry, M., Sao, K, A., & Shukla, P, D. (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 | View More |
| 7 | Gupta, K, S., & Shukla, P, D. (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 | View More |
| 8 | Gupta, K, S., & Shukla, P, D. (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 | View More |
| 9 | Swami, D., & Shukla, P, D. (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 | View More |
| 10 | Shukla, P, D. (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 | View More |
| 11 | Shukla, P, D. (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 | View More |
| 12 | Shukla, P, D. (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 | View More |
Conference Paper
| 1 | Chhetri, K, N., Singh , A., & Shukla, P, D. (2023, January). Improved Landslide Susceptibility mapping using statistical MLR model. 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), Hyderabad, India | View More |
| 2 | , N., Chhetri, K, N., Singh , A., & Shukla, P, D. (2022, December). Limit Equilibrium Method based Slope Stability analysis in the vicinity of Kotrupi area, Mandi. AGU Fall Meeting Abstracts, Chicago | View More |
| 3 | Shukla, P, D., Chhetri, K, N., & Singh , A. (2022, December). Variation in Average Surface Velocity Estimation of Tidal and Mountain glacier using optical and SAR microwave Remote Sensing.. AGU Fall Meeting Abstracts, Chicago | View More |
| 4 | Shukla, P, D., & Chhetri, K, N. (2022, December). Tectono-Geomorphic assessment in the Barak River Basin of Western Hills of Manipur, using Remote Sensing and GIS techniques.. AGU Fall Meeting Abstracts, Chicago | View More |
| 5 | Singh , A., Chhetri, K, N., , N., & Shukla, P, D. (2022, December). Evaluating the effect of different sampling ratio on landslide susceptibility mapping of Kangra District. AGU Fall Meeting Abstracts, Chicago | View More |
| 6 | Romana, , H., Shukla, P, D., & , N. (2022, December). Deteriorating air and water quality of Punjab region during 2017 to 2021, using ground and satellite data. AGU Fall Meeting Abstracts, Chicago | View More |
| 7 | Gupta, K, S., & Shukla, P, D. (2022, July). Variability of the Particulate Matter Concentration in the Northern Parts of India Using Low-Cost Sensors. IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia | View More |
| 8 | Singh , A., Gupta, K, S., , N., & Shukla, P, D. (2022, July). Estimating Suitable Categorization Method for Landslide Susceptibility Mapping of Mandi District. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia | View More |
| 9 | Romana, , H., Shukla, P, D., & , N. (2022, May). THE PAST, PRESENT AND FUTURE OF CO2, NO2, SO2 & CH4 IN PUNJAB REGION, INDIA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, | View More |
| 10 | Shukla, P, D., & Shukla, P, D. (2021, December). Evaluation and Ranking of different gridded rainfall-interpolation combination for large Himalayan watershed using entropy based weighted sum model.. AGU Fall Meeting Abstracts, New Orleans, LA | View More |
| 11 | Shukla, P, D. (2021, December). Temporal analysis of various indices and LST for forest fire study in parts of Mizoram region using Google Earth Engine. AGU Fall Meeting Abstracts, New Orleans, LA | View More |
| 12 | Romana, , H., & Shukla, P, D. (2020, December). COVID-19: Boon for Environment Bane for Economy. Air quality Assessment of Punjab during Lockdown. AGU Fall Meeting Abstracts, | View More |
| 13 | Gupta, K, S., & Shukla, P, D. (2020, December). Reconnaissance and Characterization of Discontinuities in a Landslide using UAV and Structure from Motion. AGU Fall Meeting Abstracts, | View More |
| 14 | Gupta, K, S., & Shukla, P, D. (2020, September). Data Imbalance in Landslide Susceptibility Zonation: A Case Study of Mandakini River Basin, Uttarakhand, India. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA | View More |
| 15 | Shukla, P, D. (2020, September). Source Characterization of Aerosols and Trends During 2000–2019 Over Delhi (India). IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA | View More |
| 16 | Chhetri, K, N., & Shukla, P, D. (2020, August). FATE OF AGRICULTURAL AREAS OF KAILALI DISTRICT OF NEPAL: A TEMPORAL LAND USE LAND COVER CHANGE (LUCC) ANALYSIS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, | View More |
| 17 | Gupta, K, S., & Shukla, P, D. (2020, February). DATA IMBALANCE IN LANDSLIDE SUSCEPTIBILITY ZONATION: UNDER-SAMPLING FOR CLASS-IMBALANCE LEARNING. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Maryland, USA | View More |
| 18 | Gupta, K, S., & Shukla, P, D. (2020, February). Analysis of landslide reactivation using satellite data: a case study of Kotrupi landslide, Mandi, Himachal Pradesh, India. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, | View More |
| 19 | Gupta, K, S., & Shukla, P, D. (2019, December). Understanding the Onset of Monsoon over Coastal and Himalayan States of India using Temperature, Rainfall and Water Vapor Parameters. AGU Fall Meeting Abstracts, | View More |
| 20 | Gupta, K, S., & Shukla, P, D. (2019, December). Morphological Mapping of 13 August 2017 Kotropi Landslide using Images and Videos from Drone and Structure from Motion. AGU Fall Meeting Abstracts, | View More |
| 21 | Gupta, K, S., & Shukla, P, D. (2019, December). Solving Data Imbalance in Landslide Susceptibility Zonation. AGU Fall Meeting Abstracts, | View More |
| 22 | Shukla, P, D., & Gupta, K, S. (2019, December). Monitoring the Himalayan Atmospheric Environment using satellite and ground observations. AGU Fall Meeting Abstracts, | View More |
| 23 | Shukla, P, D. (2019, July). Snow Grain Size Estimation of a Site in the Indian Himalayan Region Using Hyperspectral Remote Sensing: Aviris-NG Data. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan | View More |
| 24 | Gupta, K, S., & Shukla, P, D. (2019, July). Optimal Selection of Bands for Hyperspectral Images Using Spectral Clustering. Recent Trends in Image Processing and Pattern Recognition: Second International Conference, Solapur, India | View More |
| 25 | Gupta, K, S., & Shukla, P, D. (2019, July). Landslide Susceptibility Zonation (LSZ) Using Machine Learning Approach for DEM Derived Continuous Dataset. Recent Trends in Image Processing and Pattern Recognition: Second International Conference, Solapur, India | View More |
| 26 | Baisantry, M., Sao, K, A., & Shukla, P, D. (2018, September). Two-Level Feature Extraction Framework for Hyperspectral Image Classification. 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, Netherlands | View More |
| 27 | Gupta, K, S., & Shukla, P, D. (2017, May). 3D Reconstruction of a Landslide by Application of UAV & Structure from Motion. 20th AGILE conference on geographic information science, | View More |
| 28 | Baisantry, M., & Shukla, P, D. (2017, December). COMPARISON OF DIFFERENT SIMILARITY MEASURES FOR SELECTION OF OPTIMAL, INFORMATION-CENTRIC BANDS OF HYPERSPECTRAL IMAGES. Observing Changing Earth, Sci. Decis. Monit., Assessment, Projection, Sioux Falls, South Dakota | View More |
| 29 | Gupta, K, S., & Shukla, P, D. (2017, December). UTILIZATION OF TANDEM-X DEM FOR TOPOGRAPHIC CORRECTION OF SENTINEL-2 SATELLITE IMAGE. Observing a Changing Earth; Science for Decisions— Monitoring, Assessment, and Projection, Sioux Falls, South Dakota | View More |
| 30 | Shukla, P, D. (2012, November). GLOF susceptibility of Sikkim Himalayas. 27th Himalaya-Karakoram-Tibet Workshop (HKT), | View More |
Book Chapter
| 1 | Gupta, K, S., & Shukla, P, D. (2020). . Guzzetti, F., Mihalić Arbanas, S., Reichenbach, P., Sassa, K., Bobrowsky, P.T., Takara, K., Understanding and Reducing Landslide Disaster Risk (163–172) | View More |
| 2 | Shukla, P, D. (2022). . Arun Lal Srivastav, Sughosh Madhav, Abhishek Kumar Bhardwaj, Eugenia Valsami-Jones, Current Directions in Water Scarcity Research (299-317) | View More |
| 3 | Gupta, K, S., & Shukla, P, D. (2017). . Dericks P. Shukla, Hydro-Geomorphology () | View More |
| 4 | Shukla, P, D. (2019). . Pooja, D., Kumar, P., Singh, P., Patil, S., Sensors in Water Pollutants Monitoring: Role of Material (277–297) | View More |
| 5 | Shukla, P, D., & Gupta, K, S. (2016). . Maged Marghany, Environmental Applications of Remote Sensing (281-308) | View More |
| 6 | Shukla, P, D. (2020). . Pooja Devi, Pardeep Singh, Sushil Kumar Kansal, Inorganic Pollutants in Water (273-295) | View More |
Book
| 1 | Shukla, P, D. (2017). Hydro-Geomorphology: Models and Trends. BoD–Books on Demand | View More |