Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/757
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dc.contributor.authorGupta, Gargi-
dc.contributor.authorRathore, Tushita-
dc.contributor.authorArora, Gaurav (Advisor)-
dc.contributor.authorAnand, Saket (Advisor)-
dc.date.accessioned2019-10-07T09:56:24Z-
dc.date.available2019-10-07T09:56:24Z-
dc.date.issued2019-04-21-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/757-
dc.description.abstractAgriculture is not only the primary source of food for the population of ~1.3 billion people in India but also a source of livelihood, directly or indirectly for more than 50% of its working population. It is also the major source of raw material for agro-based industries in India. A growing population puts pressure on the agricultural sector and hence drives the need to increase food production which can be met by increasing productivity or extending cropping to non-agricultural land. We conduct a Spatio-temporal analysis of district-wise cropland use dynamics using high-resolution raster data obtained from ISRO's Bhuvan portal from 2005-2014. We have evaluated the land-use changes using satellite data combined with coarse administrative surveys. Next, we estimate rst-order transition probabilities using Logistic Regression to see the in uence of the factors that drive these changes.en_US
dc.language.isoen_USen_US
dc.publisherIIITD-Delhien_US
dc.subjectLULCen_US
dc.subjectGeospatialen_US
dc.subjectAgriculureen_US
dc.subjectPhysical Environmenten_US
dc.subjectMarket Environmenten_US
dc.subjectPolicy Environmenten_US
dc.subjectSpatio-temporalen_US
dc.subjectLogistic Regressionen_US
dc.subjectMarkov Modelen_US
dc.titleSocioeconomic and biophysical drivers of agricultural intensification in india : a dynamic panel analysis using remotely-sensed data and administrative surveys (an economic characterization of india's land use change)en_US
dc.typeOtheren_US
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