Instruments and Techniques Used
In the study, the NDVI data are classified using an ISOCLASS cluster k-means classification, and then a time-series is created for each of the classes.
Major Findings
Based on the MODIS data, the authors identify 10 land use and land cover classes in the area, including rain-fed-chickpea. The authors find a significant increase in chickpea growth during the study period in the four Andhra Pradesh districts of Kurnool, Anantapur, Kadapa, and Prakasam. The authors conclude that MODIS data are useful not only to identify crop land use during specific growing seasons, but also to monitor the changes in land use over time and space.
References
Publication Reference
Gumma, M., Deevi, K., Mohammed, I., Varshney, R., Guar, P., and Whitbread A., 2016, Satellite imagery and household survey for tracking chickpea adoption in Andhra Pradesh, India: International Journal of Remote Sensing, v. 37, no. 8, p. 1955-1972. doi:10.1080/01431161.2016.1165889
Image Reference
Granule ID: MOD13Q1.A2012001.h25v07.006.2015236171008