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Rice is one of the major crops cultivated predominantly in flooded paddies, thus a large amount of water is consumed during its growing season. Accurate paddy rice maps are therefore important inputs for improved estimates of actual evapotranspiration in the agricultural landscape. The main objec...


Teluguntla, P.Ryu, D.George, B.A.Malano, H.M.M.Walker, J.P.[Mapping Flooded Rice Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India, Remote Sens.]Mapping Flooded Rice Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India, Remote Sens.

Travel time limits the ability of irrigation system operators to react to short-term irrigation demand fluctuations that result from variations in weather, including very hot periods and rainfall events, as well as the various other pressures and opportunities that farmers face. Short-term system...


Teluguntla, P.Ryu, D.George, B.A.Malano, H.M.M.Walker, J.P.[Multivariate time series modeling of short-term system scale irrigation demand.]Multivariate time series modeling of short-term system scale irrigation demand.

Cropland fallows are the next best-bet for intensification and extensification, leading to increased food production and adding to the nutritional basket. The agronomical suitability of these lands can decide the extent of usage of these lands. Myanmar’s agricultural land (over 13.8 Mha) has the ...


Gumma, Murali K.Thenkabail, Prasad S.Kumara Charyulu, DeeviMohammed, I. A.Teluguntla, P.Oliphant, A.Xiong, J.Aye, T.Whitbread, Anthony M.[Mapping cropland fallow areas in Myanmar to scale up sustainable intensification of pulse crops in the farming system]Mapping cropland fallow areas in Myanmar to scale up sustainable intensification of pulse crops in the farming system

The automation of agricultural mapping using satellite-derived remotely sensed data remains a challenge in Africa because of the heterogeneous and fragmental landscape, complex crop cycles, and limited access to local knowledge. Currently, consistent, continent-wide routine cropland mapping of Af...


Xiong, JunThenkabail, Prasad S.Gumma, Murali K.Teluguntla, P.Poehnelt, J.Congalton, RussellYadav, K.Thau, D.[Automated cropland mapping of continental Africa using Google Earth Engine cloud computing]Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

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