A new approach to map cropland irrigation distribution using time series remote sensing and ancillary data in a heterogeneous semi-arid and arid region: a case study in Heihe watershed

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ADS bibcode
2016AGUFM.H51I1634C
year
2016
Listed Authors
Chen, Y.
Lu, D.
Jingfeng, H.
Luo, L.
Pokhrel, Y. N.
Deb, K.
Listed Institutions
Department of Land Management, Zhejiang University, Hangzhou, China Center for Global Change & Earth Observations, Michigan State University, East Lansing, MI, United States
Center for Global Change & Earth Observations, Michigan State University, East Lansing, MI, United States
Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou, China
Department of Geography, Michigan State University, East Lansing, MI, United States
Department of Civil & Environmental Engineering, Michigan State University, East Lansing, MI, United States
Department of Electrical & Computer Engineering, Michigan State University, East Lansing, MI, United States

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