Mapping Cropland Fallow Areas in Myanmar

Decision tree algorithm used to identify cropping seasons using MODIS-derived NDVI

Murali Krishna Gumma (ICRISAT Representative) and his colleagues published a paper at the journal of GISience and Remote Sensing on their remote sensing-based mapping of cropland fallow areas in Myanmar to identify potential areas with pulse crop intensification.

Using the MODIS-derived NDVI over the multiple cropping seasons with complex farming systems, the study estimated 19.2 Mha cropland fallow from the two major seasons (winter and summer), out of which 10.08 Mha was identified to have sufficient
moisture (either from rainfall or stored soil water content) to grow short-season pulse crops. The study also further estimated the economic potential of sustainably intensifying pulses as the income of US$ 300 per hectare, which can be scaled-up to an additional net income of about US$ 1.5 billion to Myanmar per year if at least half (5.04 Mha) of the total cropland fallows (10.08 Mha) is covered with short-season pulses.

Murali Krishna Gumma, Prasad S Thenkabail, Kumara Charyulu Deevi, Irshad A Mohammed, Pardhasaradhi Teluguntla, Adam Oliphant, Jun Xiong, Tin Aye & Anthony M Whitbread (2018) Mapping cropland fallow areas in Myanmar to scale up sustainable intensification of pulse crops in the farming system, GIScience & Remote Sensing, DOI: 10.1080/15481603.2018.1482855