MAGO SOFTWARE: USING COPERNICUS DATA FOR LAND COVER/CROP TYPE MAPPING AND CROP WATER DEMAND ESTIMATION

被引：0
|
作者：
Falagas, Alexandros [1 ]
Gounari, Olympia [1 ]
Karakizi, Christina [2 ]
Karantzalos, Konstantinos [1 ]
机构：
[1] Natl Tech Univ Athens, Remote Sensing Lab, Zografos 15780, Greece
[2] Manchester Metropolitan Univ, Dept Nat Sci, Manchester M1 5GD, Lancs, England
来源：
IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024 | 2024年
关键词：
Water Management; Open-Source; Evapotranspiration; Sentinel; Agriculture; ENERGY-BALANCE; EVAPOTRANSPIRATION; FLUXES; MODEL;
D O I：
10.1109/IGARSS53475.2024.10640998
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
During the last decade, free and open access to a variety of high spatial, temporal and spectral resolution earth observation (EO) data has brought a revolution in research and operational mapping applications. To this direction, the Prima MAGO (Mediterranean Water Management Solutions for Sustainable Agriculture Supplied by an Online Collaborative Platform) project provides novel solutions utilizing advanced remote sensing techniques, with the aim to enhance integrated water resources management for sustainable agriculture. In this paper, two software applications developed for mapping land cover/crop types and monitoring crop-water demand based on ESA Copernicus Sentinel-2 and Sentinel-3 data are presented. Implementation of the two MAGO software applications is demonstrated for two case studies: (i) mapping land cover in western Montpellier, France and (ii) monitoring crop water demand in the Cap Bon region, Tunisia.
引用
收藏
页码：1268 / 1272
页数：5
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