Change detection of Sri Ram Sagar Project-1 command area using geospatial tools

cg.contributor.crpPolicies, Institutions, and Markets
cg.contributor.donorInternational Crops Research Institute for the Semi-Arid Tropicsen
cg.contributor.donorCGIAR Trust Funden
cg.coverage.countryIndia
cg.coverage.iso3166-alpha2IN
cg.coverage.regionSouthern Asia
cg.coverage.regionAsia
cg.identifier.urlhttp://oar.icrisat.org/id/eprint/10387en
cg.reviewStatusInternal Reviewen
dc.contributor.authorPranay, Panjalaen
dc.date.accessioned2025-01-29T12:57:44Zen
dc.date.available2025-01-29T12:57:44Zen
dc.identifier.urihttps://hdl.handle.net/10568/171116
dc.titleChange detection of Sri Ram Sagar Project-1 command area using geospatial toolsen
dcterms.abstractSri Rama Sagar Project is I is a multipurpose project constructed across the Godavari River near Pochampad (V) Balkonda (M) Nizamabad (District) during 1964 which is envisaged to irrigate an ayacut of 9, 68,640 Acres covering erstwhile four Districts viz, (Nizamabad, Adilabad, Karimnagar and Warangal) of Telangana and the dam was also meant for generating ( 4*9 MW ) 36MW power of which 3*9MW are already constructed and operational. The main of this study to assess and mapping the changes of crop intensity (i.e., double crop or single crop) under SRSP command area during the irrigated (2000-01, 2010-11) and non irrigated years (2004-05, 2015-16) using coarse resolution multispectral temporal satellite data (MODIS 250m) and their change detection using Geo Spatial Tools. This classification is mainly done by using spectral matching techniques i.e., comparing ideal spectral signatures with NDVI values and Google Earth. This work will help for decision makers to estimate the amount of crop and cropping intensity under the command area.en
dcterms.accessRightsLimited Access
dcterms.bibliographicCitationPranay, Panjala. 2017. Change detection of Sri Ram Sagar Project-1 command area using geospatial tools. Master's thesis, Institute of Science and Technology, Jawaharlal Nehru Technological University. http://oar.icrisat.org/id/eprint/10387en
dcterms.issued2017
dcterms.languageen
dcterms.licenseOther
dcterms.subjectremote sensingen
dcterms.subjectmethodologyen
dcterms.subjectsatellite imageryen
dcterms.subjectatmosphereen
dcterms.subjectgeographical information systemsen
dcterms.subjectland useen
dcterms.typeThesis

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