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Contact December 2016.Cdr catio Edu n . R e g 1966 - 2016 s e in a n i r Hkkjrh; lqnwj laosnu laLFkku c a r h T Indian Institute of Remote Sensing Indian Institute of Remote Sensing 5Golden Jubilee iirs dkWUVSDV Contact vad 18 la[;k 2@ Volume 18 No. 2 fnlEcj 2016@December 2016 ...on a mission for transferring technology through education, research and capacity building CONTENTS TECHNICAL COMMUNICATIONS Ÿ Numerical Simulation and Modeling of Debris flow at Tangni (Pagal Nala), Joshimath, 2 EDITORIAL Uttarakhand using Earth Observation Data Ÿ Landslide characterization using Remote Sensing and advanced Geophysical techniques at 2 An efficient and effective disaster management Kunjethi village, Kalimath, Garhwal Himalaya requires infusion of space technology, which is Ÿ Avalanche Hazard Site Mapping for Alaknanda Basin 3 Ÿ Aerosol distribution over Uttarakhand during intense forest fire episode in April-May 2016 4 developing at a rapid pace due to both technological Ÿ Flood Early Warning System for North West Himalayan region using geospatial inputs and 5 advancements and greater demand caused by modelling approach emerging business opportunities and security Ÿ Flood plain delineation using Height above Nearest Drainage 6 Ÿ Ionospheric TEC modelling for earthquake precursor studies in Himalaya 8 concerns. The global community has experienced the Ÿ Analysis of Crustal deformation and seismic assessment using ground-based GNSS 9 benefit of space technology in disaster management observation data in North Western Himalaya support through various national, regional and global Ÿ Space-borne Differential Interferometric SAR Observation of Nepal Earthquake (2015) 10 Ÿ Liquefaction Hazard Assessment In and Around Lucknow Due to 2015 Nepal Earthquake 11 efforts including International Charter for Space and Ÿ A Comparison of VIIRS and MODIS Active Fire Products for Uttarakhand Episodic Forest 12 Major Disasters. One of the most critical elementsfor infusion of the right Fire-2016 kind of space technology in disaster management support requires Ÿ Retrieval of Land Surface Temperature of Jharia Coalfield, Jharkhand, India from Night-time 13 Multi-spectral ASTER TIR Data by Split-Window Algorithm appropriate research and capacity building in this new domain of scientific Ÿ Spatio-temporal analysis of groundwater depletion and its impacts at selected test sites of 14 endeavor. It involves real time to near real time processing of satellite and Luni-Ghaggar drainage basin other sensor data and derivation of knowledge products that would serve a SPECIAL WORKS Ÿ First Experience of IIRS at Antarctica and summary of scientific activities conducted at 14 variety of disasters in different stages of disaster management. Due to recent Maitri and surrounding areas advances of sensor technology starting from high resolution optical imaging COURSE REPORTS to LIDAR and space-based geophysical observations including space Ÿ M. Tech in Remote Sensing and Geographic Information System 16 Ÿ Short course in RS with emphasis on Digital Image Processing SRS 16 gravity and magnetism, it is imperative that sufficient research and capacity Ÿ Special Course on Image Interpretation and Remote Sensing Application for Indian Airforce 17 building is developed to enable these technologies meet the dual Personnel requirement of disaster risk reduction and sustainable development -the Ÿ Orientation Course on Remote Sensing and GIS Application Working Plan Preparation 18 main agenda ofthe Sendai Framework for Disaster Risk Reduction 2015- Ÿ Special Course on Applications of RS & GIS in Forestry for Forest Range Officers 19 Ÿ Short Course on 'Application of RS & GIS for Natural Resources Management 19 2030. Under this programme, four priorities have been identified to be Ÿ Special Course on SAR Applications in Geosciences 20 addressed at local, national and global levels: a) understanding disaster risk, Ÿ Short Course on Capacity Building on SAR Data Usage for Forest Carbon Estimation 20 b) risk governance, c) investing in DRR and d) enhancement of disaster Ÿ Special Course on RS & GIS with Special Emphasis on Medicinal Plants for the Officials of 21 Ministry of AYUSH preparedness, space and allied spatial technology. Ÿ Special Course for FSI Personnel on Techniques for Ortho Rectification of Very High 21 Resolution Satellite Data IIRS, an ISRO organization mandated for capacity building through Ÿ Outreach Course on Geoweb Services and Geoportal Applications 22 research and education, has initiated several short term and long term Ÿ Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP) 22 training and education programmes on natural hazards and disaster risk WORKSHOPS/SYMPOSIA/MEETS Ÿ Capacity Building Workshop on Bhuvan Panchayat Portal and Mobile Application for Asset 23 management. Education and training in this rapidly growing space Mapping technology field cannot exist without research initiatives. Under various Ÿ National Symposium on Recent Advances in Remote Sensing and GIS with Special 24 research initiatives of IIRS including Disaster Management Support Emphasis on Mountain Ecosystems & Annual Conventions of the Indian Society of Remote Sensing & the Indian Society of Geomatics Programme (DMSP) of ISRO, issues related to sustainable development, Ÿ Himachal Pradesh State Meet 26 mountain ecosystem, infrastructure development and natural hazards are Ÿ Remote Sensing day 26 addressed in a complementary as well as integrated manner. In the present Ÿ Turnkey Solution based on Geospatial Technology for Swachh Bharat Abhiyaan (SBA) 27 CAMPUS NEWS issue of CONTACT, an attempt has been made to present some of the Ÿ Forthcoming seminar/ symposiums/ conferences/ meets 28 important accomplishments and recent initiatives related to disaster Ÿ Facility/Instrument Augmentation 28 management support. Additionally, several important technological and Ÿ Distinguished visitors 29 Ÿ Alumni feedback and Achievements of IIRS alumni, etc. 30 scientific endeavours have been listed that can directly and indirectly Ÿ HkwLFkkfud rduhdh ds mi;ksx ls 'kgjh dpjs ds viogu gsrq mi;qä LFkkuksa dk fpUghdj.k 31 support natural hazards and disaster management studies. I hope, through Ÿ lqnwj laosnu rduhd dk mi;ksx djrs gq, Vksal ?kkVh esa HkwL[kyuksa dk ekufp=.k ,oa HkwvH;kaf=dh fo'ys"k.k 32 this special issue, students and researchers and IIRS alumni members would Ÿ Hkkjrh; lqnwj laosnu laLFkku esa varj&dsaæ fgUnh rduhdh laxks"Bh dk vk;kstu 33 get a feel of recent research and capacity building in space technology and its Ÿ Hkkjrh; lqnwj laosnu laLFkku esa fganh fnol@i[kokM+k dk vk;kstu 34 applications at national and international levels. Ÿ Superannuation and Appointments 35 PUBLICATIONS 36 A. Senthil Kumar AWARDS AND APPRECIATIONS 38 Director, IIRS TRAINING CALENDER 39 dkWUVSDV TECHNICAL COMMUNICATIONS Numerical Simulation and Modeling of Debris flow at Tangni (Pagal Nala), Joshimath, Uttarakhand using Earth Observation Data ebris flows are kind of mass movements that cause significant damage to property and Dloss of lives and pose a serious threat to the tectonically fragile Uttarakhand Himalaya. Comprehensive assessment of landslide hazard, pertinently, requires process-based modeling using simulation methods. Objectivity is further added, especially if the simulation is executed by numerical methods. However, development of precipitation triggered debris flow simulation models of real events are still in a budding stage in India. A highly objective simulation technique has therefore been envisaged in this study to model the debris flow run- out that took place in Tangni, close to Joshimath town in Uttarakhand. This landslide has been reported to frequently affect the Badrinath highway for last few decades, almost in every rainy season. Fig. 1: (a) Field photo of Tangni Landslide (upper half) (as on March, 2017); (b) Subset of ALOS PALSAR DEM of Tangni area (location Literature revealed this old landslide as Pagal Nala or of Tangni marked by yellow point); (c-d) Spatial variation of Pagal Jhora also as the nala flows through the very velocity and height along the debris flow runout. heart of the landslide and joins river Alaknanda. The simulation technique takes cues from a basic high- which gradually declined to 3.7m near the zone of resolution DEM (10m), LISS-IV (5.8m) satellite deposition. At the road (Badrinath highway) cross image and other ancillary ground data including cut, the values of velocity and height are 20m/s and geotechnical and frictional parameters. The 4.5m respectively. The simulated output can be algorithm is based on Voellmy frictional parameters visualized on 3D perspective with animations and (dry and turbulent frictional coefficients, m and x geotagged on google earth platform with relevant respectively) of debris flow with pre-defined release projections. These results can be very useful in area identified on high resolution satellite images. engineering intervention like construction of check The model provides critical quantitative information dams to digest the initial thrust of the flow and other on flow 1) velocity, 2) height, 3) momentum, and 4) remedial measures designed for vulnerable slope pressure along the entrainment path (Figure 1). The protection. simulated velocity was modelled to be 9m/s at the base. The simulated maximum height was around 8m - Sanjay P., Shovan L. Chattoraj, P.K. Champati ray and Suresh Kannaujiya Landslide Characterization using Remote Sensing and Advanced Geophysical Techniques at Kunjethi Village, Kalimath, Garhwal Himalaya
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