Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine

• Published in: ISPRS journal of photogrammetry and remote sensing Vol. 155; pp. 136 - 149
• Main Authors: Xie, Yanhua, Lark, Tyler J., Brown, Jesslyn F., Gibbs, Holly K.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2019
• Subjects: aquifers; arid zones; Automatic classification; climate change; climatic factors; Conterminous United States; cropland; data collection; ecoregions; Google Earth Engine; Internet; irrigated farming; irrigation; Irrigation agriculture; land use; Landsat; remote sensing; United States; vegetation index; Water use; United States; Water use; Irrigation agriculture; Automatic classification; Google Earth Engine; Landsat; Conterminous United States
• ISSN: 0924-2716; 1872-8235
• DOI: 10.1016/j.isprsjprs.2019.07.005

Accurate and timely information on the distribution of irrigated croplands is crucial to research on agriculture, water availability, land use, and climate change. While agricultural land use has been well characterized, less attention has been paid specifically to croplands that are irrigated, in p...