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SYNERGETIC USE OF SENTINEL-1 AND 2 TO IMPROVE AGRO-HYDROLOGICAL MODELING: Preliminary results on Rice paddy detection in South-India

机译:Sentinel-1和2的协同用途改善农业水文建模:南印度稻田检测初步结果

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In the context of global changes and population growth, agricultural activities are a growing factor influencing water resources availability in term of quantity and quality. Water management strategies have to be analyzed at a regional catchment scales. Yet, agricultural practices, crop water and nutrient consumption that drive the main water and nutrient fluxes at the catchment scale have to be monitored at a high spatial (crop extension) and temporal resolution (crop growth period). This proceeding describes some advances in the framework of a co-funded ESA Living Planet Fellowship project, called ―agro-hydrology from space‖, which aims at demonstrating the improvement brought by synergetic observations of Sentinel-1 (S1) and Sentinel-2 (S2) satellite mission in agro-hydrological studies. Geo-information time-series of vegetation and water index with multi-spectral optical detection S2 together with surface roughness time series with C-band radar detection S1 are used to re-set soil water holding capacity parameters (depth, porosity) and agricultural practices (sowing date, irrigated area extent) of a crop model coupled with a hydrological model in two contrasted water management issues: stream water nitrate pollution in Gascogne region in south-west of France and groundwater depletion and shortages for irrigation in Deccan Plateau, in south-India.
机译:在全球变化和人口增长的背景下,农业活动是影响数量和质量期限的水资源可用性的不断增长因素。必须在区域集水区尺度分析水管理策略。然而,在高空间(作物延伸)和时间分辨率(作物生长期)中必须监测驱动集水和营养通量的农业实践,作物水和营养消耗。该诉讼介绍了来自空间‖的共同资助的ESA生活行星团契项目的框架框架框架,其旨在证明Sentinel-1(S1)和Sentinel-2的协同观察所带来的改进( S2)农业水文研究卫星使命。具有多光谱光学检测S2的地理信息与水指数与C波段雷达检测S1一起使用与C波段雷达检测S1一起植被和水载能力参数(深度,孔隙度)和农业实践(播种日期,灌溉区域范围)作物模型与两种对比水管理问题的水文模型相结合:法国西南地区喘气区的水硝酸盐污染,南部陆德省高原灌溉的地下水耗尽和缺水。 -印度。

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