APPLICATION OF REMOTE SENSING & GIS ON LANDSLIDE HAZARD ZONE IDENTIFICATION & MANAGEMENT

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APPLICATION OF REMOTE SENSING & GIS ON LANDSLIDE HAZARD ZONE IDENTIFICATION & MANAGEMENT PRESENTED BY SUPRITI PRAMANIK M.TECH IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY NIT,DURGAPUR 25-04-2015 1

INTRODUCTION Damages caused by all the hazards worldwide accumulated to over $ 2,300 Billion (as per 2008 value) equivalent to 0.23% of the cumulative world output. A gradual but clear upward trend can be observed, which is likely to continue into the future due to the impacts of climate change and population growth in areas exposed to natural hazards. (World Bank/United Nations, 2010). What is landslide hazard then? Landslides are the major natural hazards among other hazards, leading to downward to outward movement of slope forming material due to gravity and are particularly important in the case of highways, railroads and dam reservoirs. What is landslide hazard management? Effects could be minimized and considerable losses to life and property could be avoided through improved risk assessment, early warning and disaster monitoring system. 25-04-2015 2

25-04-2015 3

ELEVATION SLOPE EFFECT LANDSLIDE HAZARD TRIGGER RAINFALL 25-04-2015 3

BEFORE LANDSLIDE AFTER LANDSLIDE So, HOW we can detect landslide zone then? 5 25-04-2015

IMAGE PROCESSING PUBLISHED MAP LISS III DEM [Digital Elevation Method] SLOPE ELEVATION NDVI 25-04-2015 RAINFALL MAP 6

STUDY AREA 88 22 17 27 10 15 88 09 51.7 27 08 05.8 TOTAL AREA 149.665KM 2 WEST SIKKIM [44.04KM 2 ] SOUTH SIKKIM [57.70KM 2 ] 7 DARJEELING [47.9 KM 2 ] 25-04-2015

FLOW DIAGRAM 25-04-2015 8

NDVI= NORMALISED DIFFERENTIAL VEGETATION INDEX [fig-3] NDVI= [BAND 4 BAND 3] [BAND 4+ BAND 3] (-) value shows barren land, constructed areas, river (+) max value shows dense forests OR NIR IR NIR + IR 25-04-2015 9

SLOPE MAP [fig.4] 1= Very Gentle Slope [0 to <20 ] 2= Moderately steep Slope[ >=20 to <40 ] 3= Steep Slope[>=40 to <60 ] 4= Escarpment [>=60 ] 4 2 1 3 25-04-2015 10

ELEVATION [fig.5] 1=Gentle [ <250m] 2=Moderately High[>250m to <500m] 3=High [>500m to <1000 m] 4=Very High[>1000m] 25-04-2015 11

FLOW DIAGRAM 25-04-2015 12

RAINFALL LAYER [Fig.6] 1= Good 2= Moderate 3= High 2 3 1 25-04-2015 13

FLOW DIAGRAM 25-04-2015 14

SL NO. DESCRIPTIONS WEIGHTAGE RANKS 1 Very Gentle slope[vg] 1 SLOPE[ IN DEGREE ] 0.2 2 Moderately steep slope [G] 3 steep slope [P] 4 Escarpment [VP] 2 RAINFALL 0.3 1 Low [VG] 3 Moderate [P] 4 High [VP] 1 Gentle [VG] 3 ELEVATION 0.5 2 Moderate [G] 3 High [P] 15 4 Very high [VP] 25-04-2015

What I did. 25-04-2015 16

Landslide zonation with the help of three layers (slope,elevation,rainfall)out put. 1=LOW RISK [VG] 2=MODERATE RISK [G] 3=HIGH RISK [P] 4= VERY HIGH RISK [VP] 25-04-2015 17

FLOW DIAGRAM 25-04-2015 18

LANDSLIDE INVENTORY OF 11/09/2011 25-04-2015 19

25-04-2015 20

MITIGATION For proper surface and subsurface water drainage some drainage ditches, transverse perforated polythene pipes, Lime sand piles, deep drainage wells, horizontal drainage boring and support structures are proposed. before Check dams with ground seals should be constructed along the course of major streams. Bio-engineering works in the upper and middle part of the landslide should be encouraged that will help to stabilize the agricultural fields lying nearby. After Real-time monitoring of environmental disasters are one of the prime necessity of the world. Different technologies have been developed for this purpose. Wireless sensor networks(wsn) is one of the major technology that can be used for real-time monitoring. [ by Maneesha V. Ramesh, Sangeeth Kumar and P. Venkat Rangan ;Amrita School of Engineering, Kerala, India] 25-04-2015 21

used for analysing the vibration CONCLUSION measurements after the slope failure slope gradient changes 25-04-2015 22

Real Time Monitoring System[RTMS] In my study area maximum landslide prone area is noticed beside the roads. If this kind of Wireless Sensor Network (WSN) system can be provided in every poor zone or moderate zone, then it may save more lives and may make smooth transportation system road Towards daramdin 25-04-2015 23

CONCLUSION Presently available satellite remote sensing data are a valuable source of information allowing the creation of an improved knowledge base for landslide investigations in lesser Himalayan Region. Using DEM & rainfall data only, we have tried to predict landslide susceptibility zones.. 25-04-2015 24

REFERENCES. An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS---by S. Sarkar and D.P. Kanungo References Acharya, S.K., and K.K. Ray, 1989. Daling Group and Related Rocks,Special Publication No. 22, Geological Survey of India,---- by Calcutta,India, 105 p. Anabalagan, R., 1992. Landslide hazard evaluation and zonation mapping in mountainous terrain, Engineering Geology, 32:269 277.Banerji, P.K., P.K. Guha, and L.C. Dhiman, 1980. Inverted metamorphism in the Sikkim-Darjeeling Himalaya, Geological Society of India, 21:330 342. Indian Standard preparation of landslide hazard zonation maps in mountainous terrains guidelines part 2 macro-zonation ics 07.040 bis 1998,bureau of indian standards,manak bhavan, 9 bahadur shah zafar margnew delhi 110002 25-04-2015 25

THANK YOU 25-04-2015 26