{"id":51,"date":"2023-09-16T10:03:14","date_gmt":"2023-09-16T10:03:14","guid":{"rendered":"https:\/\/kamalhitech.com\/projects\/department-of-earth\/?post_type=research_themes&#038;p=51"},"modified":"2023-12-25T12:52:39","modified_gmt":"2023-12-25T12:52:39","slug":"geomorphology-of-mountains-and-valleys","status":"publish","type":"research_themes","link":"https:\/\/web.iisermohali.ac.in\/dept\/ees\/research-themes\/geomorphology-of-mountains-and-valleys\/","title":{"rendered":"Geomorphology of Mountains and Valleys"},"content":{"rendered":"<p><div class=\"responsive-tabs\">\n<h2 class=\"tabtitle\">Research<\/h2>\n<div class=\"tabcontent\">\n<br \/>\n<img decoding=\"async\" class=\"img-thumbnail\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/Yunus_group.png\" \/><\/p>\n<p>GEOM Lab (Geomorphology of Mountains and Valleys lab) focuses on understanding the evolving controls of co-seismic, post-seismic, and rainfall-induced landslides in different orogenic settings. We also aim to understand the mechanisms of large landslides and rock avalanches in glaciated environments under accelerated warming, and how they control the fluvial incision in the headwater streams. The geomorphic imprints of catastrophic landslides, their influence on sediment budgets at local and basin-wide scales, and ways to minimize vulnerability and risks are other key areas of our focus. For this, we integrate field, remote sensing, and laboratory analysis; and analyze big data using machine learning models. In our recent project, we aim to develop near-real-time early warning models to mitigate the landslide hazards in the Indian Himalayas by combining WRF model outputs with a comprehensive landslide database.<\/p>\n<p>\n<\/div><h2 class=\"tabtitle\">People<\/h2>\n<div class=\"tabcontent\">\n<strong>Principal Investigator<\/strong><\/p>\n<div class=\"row\">\n<div class=\"col-md-4\"><img decoding=\"async\" class=\"prncpl img-thumbnail\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/yunus_ali.png\"><\/div>\n<div class=\"col-md-4\"><strong>Yunus Ali Pulpadan<\/strong><br \/>\nAssistant Professor\n<\/div>\n<\/div>\n<p><\/p>\n<div class=\"aboutttt staff table-responsive\">\n<table class=\"table table-striped table-hover\" border=\"1\" width=\"100%\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<th>Name<\/th>\n<th>Role<\/th>\n<th>Profile Photo<\/th>\n<\/tr>\n<tr>\n<td>Sahil Kaushal<\/td>\n<td>PhD Student<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/SahilKaushal.png\"><\/td>\n<\/tr>\n<tr>\n<td>Shah Masud UI Islam<\/td>\n<td>PhD Student<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/ShahMasudUIIslam.png\"><\/td>\n<\/tr>\n<tr>\n<td>Jiyadh Thanveer VP<\/td>\n<td>Project Assistant<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/JiyadhThanveer.png\"><\/td>\n<\/tr>\n<tr>\n<td>Ajay Singh<\/td>\n<td>MS Student<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/AjaySingh.png\"><\/td>\n<\/tr>\n<tr>\n<td>Satish Kumar Kumawat<\/td>\n<td>MS Student<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/SatishKumarKumawat.png\"><\/td>\n<\/tr>\n<tr>\n<td>Arun Negi<\/td>\n<td>MS Student<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/ArunNegi.png\"><\/td>\n<\/tr>\n<tr>\n<td>Aryan Dhansyan<\/td>\n<td>MS Student<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/AryanDhansyan.png\"><\/td>\n<\/tr>\n<tr>\n<td>Devesh Sharma<\/td>\n<td>MS Student<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/DeveshSharma.png\"><\/td>\n<\/tr>\n<tr>\n<td>Yuvika Beetan<\/td>\n<td>MS Student<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/YuvikaBeetan.png\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\n<\/div><h2 class=\"tabtitle\">Alumni<\/h2>\n<div class=\"tabcontent\">\n<br \/>\nNIL<\/p>\n<p>\n<\/div><h2 class=\"tabtitle\">Publications<\/h2>\n<div class=\"tabcontent\">\n<br \/>\n<a href=\"https:\/\/scholar.google.co.in\/citations?user=l3WMApQAAAAJ&#038;hl=en\" target=\"_blank\" rel=\"noopener\">  https:\/\/scholar.google.co.in\/citations?user=l3WMApQAAAAJ&#038;hl=en <\/a><\/p>\n<ul class=\"faclist\">\n<li>Fan, X., Yunus, A.P*.,  Scaringi, G., Catani, F., Siva Subramanian, S., Xu, Q. and Huang, R., 2021.  Rapidly evolving controls of landsdes after a strong earthquake and  impcations for hazard assessments. Geophysical Research Letters, 48(1),  p.e2020GL090509.<br \/><a href=\"https:\/\/doi.org\/10.1029\/2020GL090509\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1029\/2020GL090509<\/a> <\/li>\n<li>Yunus, A.P., Fan, X., Tang,  X., Jie, D., Xu, Q. and Huang, R., 2020. Decadal vegetation succession from  MODIS reveals the spatio-temporal evolution of post-seismic landsding after  the 2008 Wenchuan earthquake. Remote Sensing of Environment, 236, p.111476.<br \/><a href=\"https:\/\/doi.org\/10.1016\/j.rse.2019.111476\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1016\/j.rse.2019.111476<\/a>\u00a0\u00a0 <\/li>\n<li>Merghadi, A., Yunus, A.P#.,  Dou, J., Whiteley, J., ThaiPham, B., Bui, D.T., Avtar, R. and Abderrahmane, B.,  2020. Machine learning methods for landsde susceptibity studies: A  comparative overview of algorithm performance. Earth-Science Reviews, 207,  p.103225.<br \/><a href=\"https:\/\/doi.org\/10.1016\/j.earscirev.2020.103225\" target=\"_blank\" rel=\"noopener\"> https:\/\/doi.org\/10.1016\/j.earscirev.2020.103225<\/a><\/li>\n<li>Yunus, A.P., Masago, Y. and  Hijioka, Y., 2020. COVID-19 and surface water quaty: Improved lake water quaty  during the lockdown. Science of the Total Environment, 731, p.139012.<br \/><a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2020.139012\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1016\/j.scitotenv.2020.139012<\/a>\u00a0\u00a0 <\/li>\n<li>Dou, J., Yunus, A.P#.,  Merghadi, A., Shirzadi, A., Nguyen, H., Hussain, Y., Avtar, R., Chen, Y., Pham,  B.T. and Yamagishi, H., 2020. Different sampng strategies for predicting  landsde susceptibities are deemed less consequential with deep learning.  Science of the total environment, 720, p.137320.<br \/><a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2020.137320\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1016\/j.scitotenv.2020.137320<\/a> <\/li>\n<li>Fan, X., Yunus, A.P*., Yang,  Y.H., Subramanian, S.S., Zou, C., Dai, L., Dou, X., Narayana, A.C., Avtar, R.,  Xu, Q. and Huang, R., 2022. Imminent threat of rock-ice avalanches in High  Mountain Asia. Science of The Total Environment, 836, p.155380.<br \/><a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2022.155380\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1016\/j.scitotenv.2022.155380<\/a> <\/li>\n<li>Yunus, A.P., Xinyu, C.,  Catani, F., Subramaniam, S.S., Fan, X., Jie, D., Sajinkumar, K.S., Gupta, A.  and Avtar, R., 2023. Earthquake-induced soil landsdes: volume estimates and  uncertainties with the existing scang exponents. Scientific Reports, 13(1),  p.8151.<br \/><a href=\"https:\/\/doi.org\/10.1038\/s41598-023-35088-6\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1038\/s41598-023-35088-6<\/a> <\/li>\n<li>Dou, J., Yunus, A.P., Bui,  D.T., Merghadi, A., Sahana, M., Zhu, Z., Chen, C.W., Khosravi, K., Yang, Y. and  Pham, B.T., 2019. Assessment of advanced random forest and decision tree  algorithms for modeng rainfall-induced landsde susceptibity in the  Izu-Oshima Volcanic Island, Japan. Science of the total environment, 662,  pp.332-346. <br \/> <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2019.01.221\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.scitotenv.2019.01.221<\/a> <\/li>\n<li>Fan, X., Dufresne, A.,  Subramanian, S.S., Strom, A., Hermanns, R., Stefanel, C.T., Hewitt, K.,  Yunus, A.P., Dunning, S., Capra, L. and Geertsema, M., 2020. The formation and  impact of landsde dams\u2013State of the art. Earth-Science Reviews, 203,  p.103116.<br \/><a href=\"https:\/\/doi.org\/10.1016\/j.earscirev.2020.103116\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1016\/j.earscirev.2020.103116<\/a> <\/li>\n<li>Yunus, A.P., Fan, X.,  Subramanian, S.S., Jie, D. and Xu, Q., 2021. Unraveng the drivers of  intensified landsde regimes in Western Ghats, India. Science of the total  environment, 770, p.145357. <br \/><a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2021.145357\" target=\"_blank\" rel=\"noopener\"> https:\/\/doi.org\/10.1016\/j.scitotenv.2021.145357<\/a> <\/li>\n<li>Xiang, Z., Dou, J., Yunus,  A.P., Zhang, L., Wang, X. and Luo, W., 2023. Vegetation-landsde nexus and  topographic changes post the 2004 Mw 6.6 Chuetsu earthquake. CATENA, 223,  p.106946.<\/li>\n<li>  Dou, X., Fan, X., Wang, X.,  Yunus, A.P., Xiong, J., Tang, R., Lovati, M., van Westen, C. and Xu, Q., 2023.  Spatio-Temporal Evolution of Glacial Lakes in the Tibetan Plateau over the Past  30 Years. Remote Sensing, 15(2), p.416. <br \/><a href=\"https:\/\/doi.org\/10.3390\/rs15020416\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3390\/rs15020416<\/a> <\/li>\n<li>Yunus, A.P., Masago, Y.,  Boulange, J. and Hijioka, Y., 2022. Natural and anthropogenic forces on  suspended sediment dynamics in Asian estuaries. Science of The Total  Environment, 836, p.155569.<br \/><a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2022.155569\" target=\"_blank\" rel=\"noopener\"><br \/>\n  https:\/\/doi.org\/10.1016\/j.scitotenv.2022.155569 <\/a><\/li>\n<li>Kou, P., Tao, Y., Yunus,  A.P., Xu, Q., u, R., Jin, Z., ang, W., Xia, Y. and Yuan, S., 2023.  Quantifying night-time ght change drivers in China&rsquo;s Yangtze River economic  zone. International Journal of Remote Sensing, pp.1-22. <br \/><a href=\"https:\/\/doi.org\/10.1080\/01431161.2023.2214278\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1080\/01431161.2023.2214278<\/a> <\/li>\n<li>Dai, L., Fan, X., Wang, D.,  Zhang, F., Yunus, A.P., Subramanian, S.S., Rogers, J.D. and Havenith, H.B.,  2023. Electrical resistivity tomography reveang possible breaching mechanism  of a Late Pleistocene long-lasted gigantic rocksde dam in Diexi, China.  Landsdes, pp.1-15.<br \/><a href=\"https:\/\/doi.org\/10.1007\/s10346-023-02048-0\" target=\"_blank\" rel=\"noopener\">  https:\/\/doi.org\/10.1007\/s10346-023-02048-0<\/a> <\/li>\n<li>Hamdi, L., Defafa, N.,  Merghadi, A., Fehdi, C., Yunus, A.P., Dou, J., Pham, Q.B., Abdo, H.G.,  Almohamad, H. and Al-Mutiry, M., 2023. Ground Surface Deformation Analysis  Integrating InSAR and GPS Data in the Karstic Terrain of Cheria Basin, Algeria.  Remote Sensing, 15(6), p.1486.<br \/><a href=\"https:\/\/doi.org\/10.3390\/rs15061486\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3390\/rs15061486<\/a> <\/li>\n<li>Nukapothula, S., Yunus,  A.P., Chen, C., Attada, R. and Narayana, A.C., 2023. Dust storm induced severe  coong in the northern Arabian Sea during winter 2022. Deep Sea Research Part  I: Oceanographic Research Papers, 197, p.104047.<br \/> <a href=\"https:\/\/doi.org\/10.1016\/j.dsr.2023.104047\" target=\"_blank\" rel=\"noopener\"> https:\/\/doi.org\/10.1016\/j.dsr.2023.104047<\/a> <\/li>\n<li>Siva Subramanian, S.,  Srivastava, P., Yunus, A.P., Martha, T.R. and Sen, S., 2023. Numerical model  derived intensity-duration thresholds for early warning of rainfall-induced  debris flows in the Himalayas. Natural Hazards and Earth System Sciences  Discussions, pp.1-18. <br \/><a href=\"https:\/\/doi.org\/10.5194\/nhess-2022-297\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.5194\/nhess-2022-297<\/a> <\/li>\n<li>Nukapothula, S., Yunus, A.P.  and Chen, C., 2022. Signals of intense primary production in response to Ulva  profera bloom in the Yellow Sea during summer 2021. Physics and Chemistry of  the Earth, Parts A\/B\/C, 128, p.103257.  https:\/\/doi.org\/10.1016\/j.pce.2022.103257 <\/li>\n<li>Nujaira, H., Prasad, K.A.,  Kumar, P., Yunus, A.P., Kharrazi, A., Gupta, L.N., Kurniawan, T.A., Sajjad, H.  and Avtar, R., 2022. Quantifying spatio-temporal variation in aquaculture  production areas in Satkhira, Bangladesh using geospatial and social survey.  Plos one, 17(12), p.e0278042. https:\/\/doi.org\/10.1371\/journal.pone.0278042 <\/li>\n<li>Chen, X., Avtar, R.,  Umarhadi, D.A., Louw, A.S., Shrivastava, S., Yunus, A.P., Khedher, K.M.,  Takemi, T. and Shibata, H., 2022. Post-typhoon forest damage estimation using  multiple vegetation indices and machine learning models. Weather and Cmate  Extremes, 38, p.100494. https:\/\/doi.org\/10.1016\/j.wace.2022.100494 <\/li>\n<li>Ajin, R.S., Nandakumar, D.,  Rajaneesh, A., Oommen, T., Yunus, A.P. and Sajinkumar, K.S., 2022. The tale of  three landsdes in the Western Ghats, India: lessons to be learnt.  Geoenvironmental Disasters, 9(1), p.16.  https:\/\/doi.org\/10.1186\/s40677-022-00218-1 <\/li>\n<li>Xu, Q., Fan, X. and Yunus,  A.P., 2022. Post-earthquake Landscape Response. In Coseismic Landsdes:  Phenomena, Long-Term Effects and Mitigation (pp. 513-541). Singapore: Springer  Nature Singapore. https:\/\/doi.org\/10.1007\/978-981-19-6597-5_13 <\/li>\n<li>Nukapothula, S., Chen, C.,  Yunus, A.P. and n, X., 2022. Trends in Chlorophyll-a Concentration Along the  Krishna\u2013Godavari Basin as Observed From MODIS Archives. Pure and Apped  Geophysics, 179(10), pp.3827-3840. https:\/\/doi.org\/10.1007\/s00024-022-03141-6 <\/li>\n<li>Nukapothula, S., Chen, C.  and Yunus, A.P., 2022. Seasonal sediment plumes in the Krishna-Godavari basin  using satelte observations. Deep Sea Research Part I: Oceanographic Research  Papers, 188, p.103850. https:\/\/doi.org\/10.1016\/j.dsr.2022.103850 <\/li>\n<li>Avtar, R., Rinamalo, A.V.,  Umarhadi, D.A., Gupta, A., Khedher, K.M., Yunus, A.P., Singh, B.P., Kumar, P.,  Sahu, N. and Sakti, A.D., 2022. Land Use Change and Prediction for Valuating  Carbon Sequestration in Viti Levu Island, Fiji. Land, 11(8), p.1274.  https:\/\/doi.org\/10.3390\/land11081274 <\/li>\n<li>Chen, H., Yunus, A.P.,  Nukapothula, S. and Avtar, R., 2022. Modelng Arctic coastal plain lake depths  using machine learning and Google Earth Engine. Physics and Chemistry of the  Earth, Parts A\/B\/C, 126, p.103138.<br \/>\n  https:\/\/doi.org\/10.1016\/j.pce.2022.103138 <\/li>\n<li>Umarhadi, D.A., Widyatmanti,  W., Kumar, P., Yunus, A.P., Khedher, K.M., Kharrazi, A. and Avtar, R., 2022.  Tropical peat subsidence rates are related to decadal LULC changes: Insights  from InSAR analysis. Science of The Total Environment, 816, p.151561.  https:\/\/doi.org\/10.1016\/j.scitotenv.2021.151561 <\/li>\n<li>Raj, R., Yunus, A.P., Pani,  P. and Avtar, R., 2022. Towards evaluating gully erosion volume and erosion  rates in the Chambal badlands, Central India. Land Degradation &amp;  Development, 33(9), pp.1495-1510. https:\/\/doi.org\/10.1002\/ldr.4250 <\/li>\n<li>Fan, X., Yunus, A.P.,  Jansen, J.D., Dai, L., Strom, A. and Xu, Q., 2022. Comment on &lsquo;Gigantic  rocksdes induced by fluvial incision in the Diexi area along the eastern  margin of the Tibetan Plateau&rsquo;by Zhao et al.(2019) Geomorphology 338, 27\u201342.  Geomorphology, 402, p.106963. https:\/\/doi.org\/10.1016\/j.geomorph.2019.106963 <\/li>\n<li>Khan, A., Govil, H., Khan,  H.H., Thakur, P.K., Yunus, A.P. and Pani, P., 2022. Channel responses to  flooding of Ganga River, Bihar India, 2019 using SAR and optical remote  sensing. Advances in Space Research, 69(4), pp.1930-1947.  https:\/\/doi.org\/10.1016\/j.asr.2021.08.039 <\/li>\n<li>Sajinkumar, K.S., Arya, A.,  Rajaneesh, A., Oommen, T., Yunus, A.P., Rani, V.R., Avtar, R. and Thrivikramji,  K.P., 2022. Migrating rivers, consequent paleochannels: The unkely partners  and hotspots of flooding. Science of The Total Environment, 807, p.150842.  https:\/\/doi.org\/10.1016\/j.scitotenv.2021.150842 <\/li>\n<li>Loche, M., Scaringi, G.,  Yunus, A.P., Catani, F., Tanya\u015f, H., Frodella, W., Fan, X. and Lombardo, L.,  2022. Surface temperature controls the pattern of post-earthquake landsde  activity. Scientific reports, 12(1), p.988.  https:\/\/doi.org\/10.1038\/s41598-022-04992-8 <\/li>\n<li>Avtar, R., Yunus, A.P.,  Saito, O., Kharrazi, A., Kumar, P. and Takeuchi, K., 2022. Multi-temporal  remote sensing data to monitor terrestrial ecosystem responses to cmate  variations in Ghana. Geocarto International, 37(2), pp.396-412.  https:\/\/doi.org\/10.1080\/10106049.2020.1723716 <\/li>\n<li>Molekoa, M.D., Kumar, P.,  Choudhary, B.K., Yunus, A.P., Kharrazi, A., Khedher, K.M., Al Shaib, M., Singh,  B.P., Minh, H.V.T., Kurniawan, T.A. and Avtar, R., 2022. Spatio-temporal  variations in the water quaty of the Doorndraai Dam, South Africa: An  assessment of sustainable water resource management. Current Research in  Environmental Sustainabity, 4, p.100187.  https:\/\/doi.org\/10.1016\/j.crsust.2022.100187 <\/li>\n<li>Umarhadi, D.A., Avtar, R.,  Kumar, P., Yunus, A.P., Kurniawan, T.A., Kharrazi, A., Ishikawa, M. and  Widyatmanti, W., 2022. Monitoring tropical peatlands subsidence by time-series  interferometric synthetic aperture radar (InSAR) technique. In Radar Remote  Sensing (pp. 341-356). Elsevier.<br \/>\n  https:\/\/doi.org\/10.1016\/B978-0-12-823457-0.00013-6 <\/li>\n<li>Masroor, M., Avtar, R.,  Sajjad, H., Choudhari, P., Kumushi, L.C., Khedher, K.M., Komolafe, A.A.,  Yunus, A.P. and Sahu, N., 2022. Assessing the Influence of Land Use\/Land Cover  Alteration on Cmate Variabity: An Analysis in the Aurangabad District of  Maharashtra State, India. Sustainabity, 14(2), p.642.  https:\/\/doi.org\/10.3390\/su14020642 <\/li>\n<li>Yunus, A.P., Masago, Y. and Hijioka,  Y., 2021. Analysis of long-term (2002\u20132020) trends and peak events in total  suspended sods concentrations in the Chesapeake Bay using MODIS imagery.  Journal of Environmental Management, 299, p.113550.  https:\/\/doi.org\/10.1016\/j.jenvman.2021.113550 <\/li>\n<li>Hao, C., Yunus, A.P.,  Subramanian, S.S. and Avtar, R., 2021. Basin-wide flood depth and exposure  mapping from SAR images and machine learning models. Journal of Environmental  Management, 297, p.113367 .https:\/\/doi.org\/10.1016\/j.jenvman.2021.113367 <\/li>\n<li>Dai, L., Scaringi, G., Fan,  X., Yunus, A.P., u\u2010Zeng, J., Xu, Q. and Huang, R., 2021. Coseismic  debris remains in the orogen despite a decade of enhanced landsding.  Geophysical Research Letters, 48(19), p.e2021GL095850.  https:\/\/doi.org\/10.1029\/2021GL095850 <\/li>\n<li>Kou, P., Xu, Q., Jin, Z.,  Yunus, A.P., Luo, X. and u, M., 2021. Complex anthropogenic interaction on  vegetation greening in the Chinese Loess Plateau. Science of The Total  Environment, 778, p.146065. https:\/\/doi.org\/10.1016\/j.scitotenv.2021.146065 <\/li>\n<li>Fan, X., Dufresne, A.,  Whiteley, J., Yunus, A.P., Subramanian, S.S., Okeke, C.A., P\u00e1nek, T., Hermanns,  R.L., Ming, P., Strom, A. and Havenith, H.B., 2021. Recent technological and  methodological advances for the investigation of landsde dams. Earth-Science  Reviews, 218, p.103646. https:\/\/doi.org\/10.1016\/j.earscirev.2021.103646\u00a0 <\/li>\n<li>Kou, P., Xu, Q., Jin, Z.,  Tao, Y., Yunus, A.P., Xia, Y., Zhang, S. and Pu, C., Rill erosion on unpaved  loess road surface: Effects and Control. Land Degradation &amp; Development. https:\/\/doi.org\/10.1002\/ldr.4566 <\/li>\n<li>Nukapothula, S., Wu, J.  Yunus, A.P.and Chen, C., 2021. Potential impact of the extensive oil spill on  primary productivity in the Red Sea waters. Continental Shelf Research, 222,  p.104437. https:\/\/doi.org\/10.1016\/j.csr.2021.104437 <\/li>\n<li>Shi, X., Dai, K., Deng, J.,  Zhong, D., u, G., Pirasteh, S., Zhang, B., Yunus, A.P., He, Y. and ang, R.,  2021. Extracting the spatio-temporal evolution and geographical features of  shrinking Gongga Mountain glacier group during 1989\u20132017. Advances in Space  Research, 68(4), pp.1706-1718. https:\/\/doi.org\/10.1016\/j.asr.2021.04.013\u00a0 <\/li>\n<li>Kou, P., Xu, Q., Yunus,  A.P., Dong, X., Zhong, Y., Chen, L., Fang, S., Luo, X. and Jin, Z., 2021. Rill  development and its change rate: a field experiment under constant rainfall  intensity. Catena, 199, p.105112. https:\/\/doi.org\/10.1016\/j.catena.2020.105112 <\/li>\n<li>Aman, M.A., Yunus, A.P. and  Javed, A., 2021. Fluvial knickpoint identification and their characterizations  in the drainage basins of Western Ghats, India. Spatial Information Research,  29, pp.185-194. https:\/\/doi.org\/10.1007\/s41324-020-00345-7 <\/li>\n<li>Avtar, R., Kouser, A.,  Kumar, A., Singh, D., Misra, P., Gupta, A., Yunus, A.P., Kumar, P., Johnson,  B.A., Dasgupta, R. and Sahu, N., 2021. Remote sensing for international peace  and security: Its role and impcations. Remote Sensing, 13(3), p.439.  https:\/\/doi.org\/10.3390\/rs13030439 <\/li>\n<li>Molekoa, M.D., Avtar, R.,  Kumar, P., Thu Minh, H.V., Dasgupta, R., Johnson, B.A., Sahu, N., Verma, R.L.  and Yunus, A.P., 2021. Spatio-temporal analysis of surface water quaty in  Mokopane area, mpopo, South Africa. Water, 13(2), p.220.  https:\/\/doi.org\/10.3390\/w13020220 <\/li>\n<li>Avtar, R., Singh, D.,  Umarhadi, D.A., Yunus, A.P., Misra, P., Desai, P.N., Kouser, A., Kurniawan,  T.A. and Phanindra, K.B.V.N., 2021. Impact of COVID-19 lockdown on the  fisheries sector: a case study from three harbors in Western India. Remote  Sensing, 13(2), p.183. https:\/\/doi.org\/10.3390\/rs13020183 <\/li>\n<li>Umarhadi, D.A., Avtar, R.,  Widyatmanti, W., Johnson, B.A., Yunus, A.P., Khedher, K.M. and Singh, G., 2021.  Use of multifrequency (C\u2010band and L\u2010band) SAR data to monitor peat subsidence based on  time\u2010series SBAS InSAR technique.  Land Degradation &amp; Development, 32(16), pp.4779-4794.  https:\/\/doi.org\/10.1002\/ldr.4061 <\/li>\n<li>Dou, J., Yunus, A.P.,  Merghadi, A., Wang, X.K. and Yamagishi, H., 2021. A comparative study of deep  learning and conventional neural network for evaluating landsde  susceptibity using landsde initiation zones. Understanding and Reducing  Landsde Disaster Risk: Volume 2 From Mapping to Hazard and Risk Zonation 5th,  pp.215-223. https:\/\/doi.org\/10.1007\/978-3-030-60227-7_23 <\/li>\n<li>Aman, M.A., Salman, M.S. and  Yunus, A.P., 2020. COVID-19 and its impact on environment: improved pollution  levels during the lockdown period\u2013a case from Ahmedabad, India. Remote Sensing  Appcations: Society and Environment, 20, p.100382.  https:\/\/doi.org\/10.1016\/j.rsase.2020.100382 <\/li>\n<li>Avtar, R., Komolafe, A.A.,  Kouser, A., Singh, D., Yunus, A.P., Dou, J., Kumar, P., Gupta, R.D., Johnson,  B.A., Minh, H.V.T. and Aggarwal, A.K., 2020. Assessing sustainable development  prospects through remote sensing: A review. Remote sensing appcations:  Society and environment, 20, p.100402.  https:\/\/doi.org\/10.1016\/j.rsase.2020.100402 <\/li>\n<li>Chakrabortty, R., Pal, S.C.,  Sahana, M., Mondal, A., Dou, J., Pham, B.T. and Yunus, A.P., 2020. Soil erosion  potential hotspot zone identification using machine learning and statistical  approaches in eastern India. Natural Hazards, 104, pp.1259-1294.  https:\/\/doi.org\/10.1007\/s11069-020-04213-3 <\/li>\n<li>Kou, P., Xu, Q., Yunus,  A.P., u, J., Xu, Y., Wang, C., , H., Wei, Y. and Dong, X., 2020.  Landsde-controlled soil erosion rate in the largest tableland on the Loess  Plateau, China. Human and Ecological Risk Assessment: An International Journal,  26(9), pp.2478-2499. https:\/\/doi.org\/10.1080\/10807039.2019.1710812 <\/li>\n<li>Kou, P., Xu, Q., Yunus,  A.P., Dong, X., Pu, C., Zhang, X. and Jin, Z., 2020. Micro-topographic  assessment of rill morphology highghts the shortcomings of current protective  measures in loess landscapes. Science of the Total Environment, 737, p.139721.  https:\/\/doi.org\/10.1016\/j.scitotenv.2020.139721 <\/li>\n<li>Avtar, R., Suab, S.A.,  Syukur, M.S., Korom, A., Umarhadi, D.A. and Yunus, A.P., 2020. Assessing the  influence of UAV altitude on extracted biophysical parameters of young oil  palm. Remote Sensing, 12(18), p.3030. https:\/\/doi.org\/10.3390\/rs12183030 <\/li>\n<li>Avtar, R., Kumar, P., Supe,  H., Jie, D., Sahu, N., Mishra, B.K. and Yunus, A.P., 2020. Did the COVID-19  lockdown-induced hydrological residence time intensify the primary productivity  in lakes? Observational results based on satelte remote sensing. Water,  12(9), p.2573. https:\/\/doi.org\/10.3390\/w12092573 <\/li>\n<li>Luo, Y., Fan, X., Huang, R.,  Wang, Y., Yunus, A.P. and Havenith, H.B., 2020. Topographic and near-surface  stratigraphic ampfication of the seismic response of a mountain slope  revealed by field monitoring and numerical simulations. Engineering Geology,  271, p.105607. https:\/\/doi.org\/10.1016\/j.enggeo.2020.105607 <\/li>\n<li>Supe, H., Avtar, R., Singh,  D., Gupta, A., Yunus, A.P., Dou, J., A. Ravankar, A., Mohan, G., Chapagain,  S.K., Sharma, V. and Singh, C.K., 2020. Google earth engine for the detection  of soing on photovoltaic solar panels in arid environments. Remote Sensing,  12(9), p.1466. https:\/\/doi.org\/10.3390\/rs12091466 <\/li>\n<li>Kou, P., Xu, Q., Yunus,  A.P., Ju, Y., Guo, C., Wang, C. and Zhao, K., 2020. Multi-temporal UAV data for  assessing rapid rill erosion in typical gully heads on the largest tableland of  the Loess Plateau, China. Bulletin of Engineering Geology and the Environment,  79, pp.1861-1877. https:\/\/doi.org\/10.1007\/s10064-019-01631-x <\/li>\n<li>Siva Subramanian, S., Fan,  X., Yunus, A.P., Van Asch, T., Scaringi, G., Xu, Q., Dai, L., Ishikawa, T. and  Huang, R., 2020. A sequentially coupled catchment\u2010scale numerical model for snowmelt\u2010induced soil slope  instabities. Journal of Geophysical Research: Earth Surface, 125(5),  p.e2019JF005468. https:\/\/doi.org\/10.1029\/2019JF005468 <\/li>\n<li>Rahman, M.M., Avtar, R.,  Yunus, A.P., Dou, J., Misra, P., Takeuchi, W., Sahu, N., Kumar, P., Johnson,  B.A., Dasgupta, R. and Kharrazi, A., 2020. Monitoring effect of spatial growth  on land surface temperature in Dhaka. Remote Sensing, 12(7), p.1191.  https:\/\/doi.org\/10.3390\/rs12071191 <\/li>\n<li>Dou, J., Yunus, A.P., Bui,  D.T., Merghadi, A., Sahana, M., Zhu, Z., Chen, C.W., Han, Z. and Pham, B.T.,  2020. Improved landsde assessment using support vector machine with bagging,  boosting, and stacking ensemble machine learning framework in a mountainous  watershed, Japan. Landsdes, 17, pp.641-658. <br \/>\n  https:\/\/doi.org\/10.1007\/s10346-019-01286-5 <\/li>\n<li>Minu, P., Souda, V.P.,  Baarsingh, S.K., Dwivedi, R.M., Yunus, A.P. and Ashraf, P.M., 2020. Assessing  temporal variation of coloured dissolved organic matter in the coastal waters  of South Eastern Arabian Sea. Acta Oceanologica Sinica, 39, pp.102-109.  https:\/\/doi.org\/10.1007\/s13131-020-1534-z <\/li>\n<li>Avtar, R., Suab, S.A.,  Yunus, A.P., Kumar, P., Srivastava, P.K., Ramaiah, M. and Juan, C.A., 2020.  Appcations of UAVs in plantation health and area management in Malaysia.  Unmanned Aerial Vehicle: Appcations in Agriculture and Environment,  pp.85-100.\u00a0  https:\/\/doi.org\/10.1007\/978-3-030-27157-2_7 <\/li>\n<li>Chang, K.T., Merghadi, A.,  Yunus, A.P., Pham, B.T. and Dou, J., 2019. Evaluating scale effects of  topographic variables in landsde susceptibity models using GIS-based  machine learning techniques. Scientific reports, 9(1), p.12296.<br \/>\n  https:\/\/doi.org\/10.1038\/s41598-019-48773-2 <\/li>\n<li>Avtar, R., Sahu, N.,  Aggarwal, A.K., Chakraborty, S., Kharrazi, A., Yunus, A.P., Dou, J. and  Kurniawan, T.A., 2019. Exploring renewable energy resources using remote  sensing and GIS\u2014A review. Resources, 8(3), p.149 .  https:\/\/doi.org\/10.3390\/resources8030149 <\/li>\n<li>Wang, F., Fan, X., Yunus,  A.P., Siva Subramanian, S., Alonso-Rodriguez, A., Dai, L., Xu, Q. and Huang,  R., 2019. Coseismic landsdes triggered by the 2018 Hokkaido, Japan (M w 6.6),  earthquake: spatial distribution, controlng factors, and possible failure  mechanism. Landsdes, 16, pp.1551-1566. https:\/\/doi.org\/10.1007\/s10346-019-01187-7 <\/li>\n<li>Xu, Q., Kou, P., Wang, C.,  Yunus, A.P., Xu, J., Peng, S. and He, C., 2019. Evaluation of gully head  retreat and fill rates based on high-resolution satelte images in the loess  region of China. Environmental Earth Sciences, 78, pp.1-15. https:\/\/doi.org\/10.1007\/s12665-019-8483-x <\/li>\n<li>Yunus, A.P., Jie, D., Khan,  A., Sravanthi, N., Rao, L.A. and Hao, C., 2019. Channel migration  characteristics of the Yamuna River from 1954 to 2015 in the vicinity of Agra,  India: a case study using remote sensing and GIS. International Journal of  River Basin Management, 17(3), pp.367-375.<br \/>\n  https:\/\/doi.org\/10.1080\/15715124.2019.1566238 <\/li>\n<li>Yunus, A.P., Dou, J., Song,  X. and Avtar, R., 2019. Improved bathymetric mapping of coastal and lake  environments using Sentinel-2 and Landsat-8 images. Sensors, 19(12), p.2788.  https:\/\/doi.org\/10.3390\/s19122788 <\/li>\n<li>Dou, J., Yunus, A.P., Xu,  Y., Zhu, Z., Chen, C.W., Sahana, M., Khosravi, K., Yang, Y. and Pham, B.T.,  2019. Torrential rainfall-triggered shallow landsde characteristics and susceptibity  assessment using ensemble data-driven models in the Dongjiang Reservoir  Watershed, China. Natural Hazards, 97, pp.579-609.  https:\/\/doi.org\/10.1007\/s11069-019-03659-4 <\/li>\n<li>Dou, J., Yunus, A.P., Tien  Bui, D., Sahana, M., Chen, C.W., Zhu, Z., Wang, W. and Pham, B.T., 2019.  Evaluating GIS-based multiple statistical models and data mining for earthquake  and rainfall-induced landsde susceptibity using the DAR DEM. Remote  Sensing, 11(6), p.638.<br \/>\n  https:\/\/doi.org\/10.3390\/rs11060638 <\/li>\n<li>Khan, A., Rao, L.A., Yunus,  A.P. and Govil, H., 2018. Characterization of channel planform features and  sinuosity indices in parts of Yamuna River flood plain using remote sensing and  GIS techniques. Arabian Journal of Geosciences, 11, pp.1-11. https:\/\/doi.org\/10.1007\/s12517-018-3876-9 <\/li>\n<li>Nukapothula, S., Chen, C.,  Yunus, A.P. and Wu, J., 2018. Satelte-based observations of intense  chlorophyll-a bloom in response of cold core eddy formation: A study in the  Arabian Sea, Southwest Coast of India. Regional Studies in Marine Science, 24,  pp.303-310. https:\/\/doi.org\/10.1016\/j.rsma.2018.09.007 <\/li>\n<li>Dou, J., Yamagishi, H., Zhu,  Z., Yunus, A.P. and Chen, C.W., 2018. TXT-tool 1.081-6.1 A comparative study of  the binary logistic regression (BLR) and artificial neural network (ANN) models  for GIS-based spatial predicting landsdes at a regional scale. Landsde  Dynamics: ISDR-ICL Landsde Interactive Teaching Tools: Volume 1:  Fundamentals, Mapping and Monitoring, pp.139-151.  https:\/\/doi.org\/10.1007\/978-3-319-57774-6_10 <\/li>\n<li>Sravanthi, N., Yunus, A.P.  and Narayana, A.C., 2017. Merging gauge data and models with satelte data  from multiple sources to aid the understanding of long-term trends in  chlorophyll-a concentrations. Remote Sensing Letters, 8(5), pp.419-428.  https:\/\/doi.org\/10.1080\/2150704X.2016.1278308 <\/li>\n<li>Dou, J., Yamagishi, H., Xu,  Y., Zhu, Z. and Yunus, A.P., 2017. Characteristics of the torrential  rainfall-induced shallow landsdes by Typhoon Bis, in July 2006, using  remote sensing and GIS. GIS landsde, pp.221-230.  https:\/\/doi.org\/10.1007\/978-4-431-54391-6_13 <\/li>\n<li>Yunus, A.P., Oguchi, T. and  Hayakawa, Y.S., 2016. Remote identification of fluvial knickzones and their  imprints on landscape morphology in the passive margins of Western Arabia.  Journal of Arid Environments, 130, pp.14-29.  https:\/\/doi.org\/10.1016\/j.jaridenv.2016.02.016 <\/li>\n<li>Kobayashi, H., Yunus, A.P.,  Nagai, S., Sugiura, K., Kim, Y., Van Dam, B., Nagano, H., Zona, D., Harazono,  Y., Bret-Harte, M.S. and Ichii, K., 2016. Latitudinal gradient of spruce forest  understory and tundra phenology in Alaska as observed from satelte and  ground-based data. Remote Sensing of Environment, 177, pp.160-170.  https:\/\/doi.org\/10.1016\/j.rse.2016.02.020 <\/li>\n<li>Yunus, A.P., Avtar, R.,  Kraines, S., Yamamuro, M., ndberg, F. and Grimmond, C.S.B., 2016.  Uncertainties in tidally adjusted estimates of sea level rise flooding (bathtub  model) for the Greater London. Remote Sensing, 8(5), p.366.  https:\/\/doi.org\/10.3390\/rs8050366 <\/li>\n<li>Yunus, A.P., 2016.  Geomorphic and thologic control on bedrock channels in drainage basins of the  Western Arabian Peninsula. Arabian Journal of Geosciences, 9, pp.1-13.  https:\/\/doi.org\/10.1007\/s12517-015-2179-7 <\/li>\n<li>Yunus, A.P., Dou, J., Avtar,  R. and Narayana, A.C., 2016. Shorene and coastal morphological changes induced  by the 2004 Indian Ocean tsunami in the Katchal Island, Andaman and Nicobar\u2013a  study using archived satelte images. Tsunamis and Earthquakes in Coastal  Environments: Significance and Restoration, pp.65-77.  https:\/\/doi.org\/10.1007\/978-3-319-28528-3_5 <\/li>\n<li>Yunus, A.P., Dou, J. and  Sravanthi, N., 2015. Remote sensing of chlorophyll-a as a measure of red tide  in Tokyo Bay using hotspot analysis. Remote Sensing Appcations: Society and  Environment, 2, pp.11-25. https:\/\/doi.org\/10.1016\/j.rsase.2015.09.002 <\/li>\n<li>Dou, J., Yamagishi, H.,  Pourghasemi, H.R., Yunus, A.P., Song, X., Xu, Y. and Zhu, Z., 2015. An  integrated artificial neural network model for the landsde susceptibity  assessment of Osado Island, Japan. Natural Hazards, 78, pp.1749-1776. https:\/\/doi.org\/10.1007\/s11069-015-1799-2 <\/li>\n<li>Dou, J., , X., Yunus,  A.P., Paudel, U., Chang, K.T., Zhu, Z. and Pourghasemi, H.R., 2015. Automatic  detection of sinkhole collapses at finer resolutions using a multi-component  remote sensing approach. Natural Hazards, 78, pp.1021-1044.  https:\/\/doi.org\/10.1007\/s11069-015-1756-0 <\/li>\n<li>Dou, J., Tien Bui, D., P.  Yunus, A.P, Jia, K., Song, X., Revhaug, I., Xia, H. and Zhu, Z., 2015.  Optimization of causative factors for landsde susceptibity evaluation using  remote sensing and GIS data in parts of Niigata, Japan. PloS one, 10(7),  p.e0133262.<br \/>\n  https:\/\/doi.org\/10.1371\/journal.pone.0133262 <\/li>\n<li>Nukapothula, S., Yunus, A.P.  and Chen, C., 2023. Total Suspended Matter Variabity in Response to Tropical  Cyclone Tit Along Coastal Waters of Southeast India Using Satelte  Observations: Impcations to Cmate Change. In Coasts, Estuaries and Lakes:  Impcations for Sustainable Development (pp. 317-327). Cham: Springer  International Pubshing. https:\/\/doi.org\/10.1007\/978-3-031-21644-2_19 <\/li>\n<li>Yunus, A.P and Narayana,  A.C., 2015. Short-term morphological and shorene changes at Trinkat Island,  Andaman and Nicobar, India, after the 2004 tsunami. Marine Geodesy, 38(1),  pp.26-39. https:\/\/doi.org\/10.1080\/01490419.2014.908795 <\/li>\n<li>Avtar, R., Yunus, A.P.,  Kraines, S. and Yamamuro, M., 2015. Evaluation of DEM generation based on  Interferometric SAR using TanDEM-X data in Tokyo. Physics and Chemistry of the  Earth, Parts A\/B\/C, 83, pp.166-177 https:\/\/doi.org\/10.1016\/j.pce.2015.07.007 . <\/li>\n<li>Yunus, A.P., Oguchi, T. and  Hayakawa, Y.S., 2014. Morphometric analysis of drainage basins in the Western  Arabian Peninsula using multivariate statistics. International Journal of  Geosciences, 2014. https:\/\/doi.org\/10.4236\/ijg.2014.55049\u00a0 <\/li>\n<li>Sravanthi, N., Ramana, I.V.,  Yunus, A.P., Ashraf, M., A, M.M. and Narayana, A.C., 2013. An algorithm for  estimating suspended sediment concentrations in the coastal waters of India  using remotely sensed reflectance and its appcation to coastal environments.  International Journal of Environmental Research, 7(4), pp.841-850.  https:\/\/doi.org\/10.22059\/ijer.2013.665 <\/li>\n<li>Dou, J., Chang, K.T., Chen,  S., Yunus, A.P., u, J.K., Xia, H. and Zhu, Z., 2015. Automatic case-based  reasoning approach for landsde detection: integration of object-oriented  image analysis and a genetic algorithm. Remote Sensing, 7(4), pp.4318-4342.<br \/>\n  https:\/\/doi.org\/10.3390\/rs70404318 <\/li>\n<\/ul>\n\n<\/div><h2 class=\"tabtitle\">Courses<\/h2>\n<div class=\"tabcontent\">\n\n<ul class=\"faclist\">\n<li>IDC 203: Introduction to Earth Sciences<\/li>\n<li> EES 402: Geomorphology and Earth Surface Processes<\/li>\n<li> EES 645: Natural Hazards and Disaster Risk Reduction<\/li>\n<li> EES 4XX: Geosciences and Sustainable Development Goals<\/li>\n<\/ul>\n\n<\/div><h2 class=\"tabtitle\">Lab Facilities<\/h2>\n<div class=\"tabcontent\">\n\n<div class=\"aboutttt staff table-responsive\">\n<table class=\"table table-striped table-hover\" border=\"1\" width=\"100%\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<th>Name<\/th>\n<th>Photo<\/th>\n<\/tr>\n<tr>\n<td>Unmanned Aerial Vehicle (2 Nos.)<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/UnmannedAerial.png\"><\/td>\n<\/tr>\n<tr>\n<td>LIDAR &#038; RGB Camera <\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/LIDAR.png\"><\/td>\n<\/tr>\n<tr>\n<td>Thermal and RGB zoom Camera<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/Thermal-RGB.png\"><\/td>\n<\/tr>\n<tr>\n<td>NIR Camera<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/NIRCamera.png\"><\/td>\n<\/tr>\n<tr>\n<td>UV-Vis Spectrophotometer<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/UV-VisSpectrophotometer.png\"><\/td>\n<\/tr>\n<tr>\n<td>Muffle Furnace<\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/MuffleFurnace.png\"><\/td>\n<\/tr>\n<tr>\n<td>Laboratory Drying Oven <\/td>\n<td><img decoding=\"async\" class=\"grpmbrimg\" src=\"https:\/\/web.iisermohali.ac.in\/dept\/ees\/wp-content\/uploads\/2023\/09\/LaboratoryDryingOven.png\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n<\/div><h2 class=\"tabtitle\">Additional Info<\/h2>\n<div class=\"tabcontent\">\n\n<p><strong>Ongoing Projects:<\/strong><\/p>\n<ul class=\"faclist\">\n<li>\t&#8220;Assessing glacier retreat and links between increasing landslide and channel erosion in High Mountain Asia&#8221;. Funded by Science &#038; Engineering Research Board. September 2022- September 2024 (PI). <\/li>\n<li>\t&#8220;Modelling and Predicting the Hydro Meteorological Disasters in Indian Himalayas&#8221;. Funded by Transformational and Advanced Research in Sciences (STARS), Ministry of Education. July 2023- July 2026 (CoPI).<\/li>\n<li>&#8220;A novel framework for water quality prediction based on socio-economic indicators, satellite imaging and machine learning&#8221;. Kurta Water and Environment Foundation, japan. September 2023 &#8211; September 2024 (PI).<\/li>\n<\/ul>\n<p>\n<\/div><h2 class=\"tabtitle\">Gallery<\/h2>\n<div class=\"tabcontent\">\n<br \/>\nngg_shortcode_0_placeholder<\/p>\n<p>\n<\/div><h2 class=\"tabtitle\">News<\/h2>\n<div class=\"tabcontent\">\n<br \/>\nNIL<br \/>\n<\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GEOM Lab (Geomorphology of Mountains and Valleys lab) focuses on understanding the evolving controls of co-seismic, post-seismic, and rainfall-induced landslides in different orogenic settings. 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