Characterization of spatio-temporal variation in vegetation phenology of regional forest landscapes using remote sensing and GIS (Record no. 6613)

MARC details
000 -LEADER
fixed length control field 02500nam a22002057a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122855.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190820b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIITMK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ayushi Kurian (41618003)
9 (RLIN) 16318
245 ## - TITLE STATEMENT
Title Characterization of spatio-temporal variation in vegetation phenology of regional forest landscapes using remote sensing and GIS
300 ## - PHYSICAL DESCRIPTION
Extent MPhil EI 2018-2019
500 ## - GENERAL NOTE
General note Object-oriented image classification, allows the integration of a broad spectrum of different<br/>object features, such as spectral values, shape and texture. Nine vegetation and land cover<br/>classes were identified in selected regional landscape of Similipal in Odisha. It has about<br/>70% of area under forest cover. Spatio temporal analysis of normalized difference vegetation<br/>index (NDVI) data from satellite measurements can be used to characterize and quantify<br/>changes in vegetation phenology. In this study Sentinel 2 based NDVI measurements for<br/>2018 were used for the four distinct regional landscapes in India (Biligirirangan hills,<br/>Chandoli, Shettihalli and Similipal). The study used the software package CropPhenology<br/>which computes 15 phenological metrics. The derived phonological metrics can be used to<br/>characterize growth conditions, including new leaf emergence and leaf offset. The land<br/>cover maps were used a reference to account the phenological variations across selected<br/>vegetation classes. It was found that all the four study areas reaches its maximum NDVI<br/>value at different time of months mostly between Mid July to October. Further, species level<br/>phenological characterization was carried out for Biligirirangan Hills and Similipal<br/>landscapes based on field plot data. It was found that the Terminalia alata-Pterocarpus<br/>marsupium has the maximum length of growing period of 11 months and the month with<br/>maximum NDVI in October in Biligirirangan whereas in Similipal, Michelia champacaSyzygium<br/>cumini<br/><br/>showed maximum length of growing period of 11 months and reaches its<br/>maximum NDVI value in the month of September. The spatial data generated in the study<br/>would be useful for vegetation-climate modelling and linking with influence of abiotic and<br/>biotic factors on vegetation dynamics.<br/>
502 ## - DISSERTATION NOTE
Degree type MPhil EI
Name of granting institution 2018-2019
Year degree granted INT
-- Dr. R Jaishankar
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element OBJECT ORIENTED IMAGE CLASSIFICATION
9 (RLIN) 16319
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PHENOLOGICAL METRICS
9 (RLIN) 16320
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element REMOTE SENSING
9 (RLIN) 16321
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element REGIONAL FOREST LANDSCAPES
9 (RLIN) 16322
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   20/08/2019   R-1584 20/08/2019 20/08/2019 Project Reports