Development of NDVI and LULC Map of Surat District using GIS and Remote Sensing
Sahita Waikhom, GEC Surat; V. G. Yadav ,GEC Surat; Bhumika Kakadiya ,GEC Surat
NDVI, LULC, Remote Sensing, GIS, LANDSAT
Land Use and Land Cover (LU-LC) are vital information required for various planning activities. Infrastructural planning, water resources management, agriculture planning, etc. are important applications of LU-LC information. In today’s fast changing face of earth surface due to natural and man-made activities, keeping the LU-LC information updated manually on real time basis is a herculean task. Remote sensing and GIS is very useful technique for acquisition of information about an object or phenomenon without making physical contact with the object. The integration of remote sensing with reliable information is most dependable solution in the current scenario. In this study an attempt is made to map NDVI (Normalized Difference Vegetation Index) and LU-LC for Surat, Gujarat. Satellite imagery of 2nd February 2018 by LANDSAT 8 is used with Arc GIS software of (ESRI) for the purpose of present study.
-
[1] Beck, P.S.A., C. Atzberger, K.A. Hogda, B. Johansen and A.K. Skidmore, (2006) "Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI" Remote Sensing of Environment 100 (321 – 334)
[2] Deng, X., J. Huang, S. Rozelle, and E. Uchida. (2008). "Growth, population and industrialization, and urban land expansion of China." Journal of Urban Economics vol. 63 Pages 96-11
[3] Erencin, Z. (2000). "C-Factor Mapping Using Remote Sensing and GIS. A case Study of Lom Sak/Lom Kao, Thailand." International Institute for Aerospace Survey and Earth Sciences
[4] Gitelson, A. A. (2004). “Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation”. Journal of plant physiology.
[5] Huete, C. Justice and W.V. Leeuwen, (1999) "MODIS vegetation index (MOD13): algorithm theoretical basis document". Journal of Geoscience and Environment Protection, Vol.4 No.6
[6] Jensen, J. R. (2005). “Introductory Digital Image Processing: A Remote Sensing Perspective” Pearson Prentice Hall, New Jersey. Journal of Geoscience and Environment Protection, Vol.5 No.3
[7] Nooka Ratnam Kinthada, Murali Krishna Gurram (Feb. 2014), “Land Use/Land Cover and NDVI Analysis for Monitoring the Health of Micro-watersheds of Sarada River Basin, Visakhapatnam District, India.” Journal of Geology & Geophysics
Paper ID: GRDCF012073
Published in: Conference : Emerging Research and Innovations in Civil Engineering
Page(s): 372 - 376
Published in: Conference : Emerging Research and Innovations in Civil Engineering
Page(s): 372 - 376