000			02500nam a22002057a 4500
003			OSt
005			20220107122855.0
008			190820b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aAyushi Kurian (41618003) _916318
245			_aCharacterization of spatio-temporal variation in vegetation phenology of regional forest landscapes using remote sensing and GIS
300			_aMPhil EI 2018-2019
500			_aObject-oriented image classification, allows the integration of a broad spectrum of different object features, such as spectral values, shape and texture. Nine vegetation and land cover classes were identified in selected regional landscape of Similipal in Odisha. It has about 70% of area under forest cover. Spatio temporal analysis of normalized difference vegetation index (NDVI) data from satellite measurements can be used to characterize and quantify changes in vegetation phenology. In this study Sentinel 2 based NDVI measurements for 2018 were used for the four distinct regional landscapes in India (Biligirirangan hills, Chandoli, Shettihalli and Similipal). The study used the software package CropPhenology which computes 15 phenological metrics. The derived phonological metrics can be used to characterize growth conditions, including new leaf emergence and leaf offset. The land cover maps were used a reference to account the phenological variations across selected vegetation classes. It was found that all the four study areas reaches its maximum NDVI value at different time of months mostly between Mid July to October. Further, species level phenological characterization was carried out for Biligirirangan Hills and Similipal landscapes based on field plot data. It was found that the Terminalia alata-Pterocarpus marsupium has the maximum length of growing period of 11 months and the month with maximum NDVI in October in Biligirirangan whereas in Similipal, Michelia champacaSyzygium cumini showed maximum length of growing period of 11 months and reaches its maximum NDVI value in the month of September. The spatial data generated in the study would be useful for vegetation-climate modelling and linking with influence of abiotic and biotic factors on vegetation dynamics.
502			_bMPhil EI _c2018-2019 _dINT _eDr. R Jaishankar
650			_aOBJECT ORIENTED IMAGE CLASSIFICATION _916319
650			_aPHENOLOGICAL METRICS _916320
650			_aREMOTE SENSING _916321
650			_aREGIONAL FOREST LANDSCAPES _916322
942			_2ddc _cPR
999			_c6613 _d6613