Detection of irrigated crops from Sentinel-1 and Sentinel-2 data to estimate seasonal groundwater use in South India

Remote Sensing

Volumn 9, Issue 11, 2017, Pages

  Ferrant, Sylvain ^a   Selles, Adrien ^b,c   Le Page, Michel ^a   Herrault, Pierre Alexis ^a   Pelletier, Charlotte ^a   Al Bitar, Ahmad ^a   Mermoz, Stéphane ^a   Gascoin, Simon ^a   Bouvet, Alexandre ^a   Saqalli, Mehdi ^d   Dewandel, Benoit ^b   Caballero, Yvan ^b   Ahmed, Shakeel ^c   Maréchal, Jean Christophe ^b   Kerr, Yann ^a  

^a CNRS   (France)

^b UNIV MONTPELLIER   (France)

^c NATIONAL GEOPHYSICAL RESEARCH INSTITUTE   (India)

^d Laboratoire Geode   (France)

Author keywords

Agro hydrology; Crop cover mapping; Groundwater shortage monitoring; Radar and optical synergy; Random forest; Rice irrigation; Sentinel 1; Sentinel 2

Indexed keywords

AGRICULTURAL RUNOFF; AGRICULTURE; AQUIFERS; ATMOSPHERIC THERMODYNAMICS; CATCHMENTS; CROPS; CULTIVATION; DECISION TREES; GROUNDWATER; GROUNDWATER RESOURCES; HYDROLOGY; IRRIGATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; RADAR; RAIN; REMOTE SENSING; RESERVOIRS (WATER); SURFACE WATERS; UNCERTAINTY ANALYSIS; UNDERGROUND RESERVOIRS; WATER RESOURCES; WATER SUPPLY;

HIGH SPATIAL RESOLUTION; INTERANNUAL VARIABILITY; LOCAL WATER AVAILABILITY; RANDOM FORESTS; RICE IRRIGATION; SENTINEL-1; SENTINEL-2; SPATIO-TEMPORAL VARIATION;

RECHARGING (UNDERGROUND WATERS);

EID: 85034762512     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9111119     Document Type: Article

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