dc.contributor.author | Gupta, Gargi | |
dc.contributor.author | Rathore, Tushita | |
dc.contributor.author | Arora, Gaurav (Advisor) | |
dc.contributor.author | Anand, Saket (Advisor) | |
dc.date.accessioned | 2019-10-07T12:01:52Z | |
dc.date.available | 2019-10-07T12:01:52Z | |
dc.date.issued | 2019-04-21 | |
dc.identifier.uri | http://repository.iiitd.edu.in/xmlui/handle/123456789/764 | |
dc.description.abstract | Agriculture 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.iso | en_US | en_US |
dc.publisher | IIITD-Delhi | en_US |
dc.subject | LULC | en_US |
dc.subject | Geospatial | en_US |
dc.subject | Agriculure | en_US |
dc.subject | Physical Environment | en_US |
dc.subject | Market Environment | en_US |
dc.subject | Policy Environment | en_US |
dc.subject | Spatio-temporal | en_US |
dc.subject | Logistic Regression | en_US |
dc.subject | Markov Model | en_US |
dc.title | Socioeconomic 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.type | Other | en_US |