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ESTIMATING SOIL MOISTURE USING OPTICAL AND RADARSATELLITE REMOTE SENSING DATA

机译:使用光学和雷达卫星遥感数据估算土壤水分

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The purpose of this work is to investigate the possible use of MODIS andENVISAT-ASAR Data to extract soil moisture (SM) field and validate thedeveloped systems by means of in situ measurements. The main idea of this study concerns the advantages that could arise from acontinuous and almost real time SM monitoring, permitted by wide-swath passiveoptical sensors that allow evaluating the dynamic evolution of different phenomenaon a wide range of application fields: from hydrological monitoring and managementto agricultural applications and so on. Observations provided by MODIS have nodirect physical relation with soil water content. On the other hand, the relationshipbetween Land Surface temperature (LST), NDVI and in situ measurements haveshown many potentialities to indirectly retrieve SM information.The use of SAR data for validation purposes is envisaged but not yet applied.Calibration and validation phases are performed over a test site where in situmeasurements are available.
机译:这项工作的目的是调查Modis Andenvisat-ASAR数据的可能使用,以通过原位测量提取土壤湿度(SM)场并通过原位测量验证该系统。本研究的主要思想涉及可能从宽处和几乎实时SM监测中产生的优势,允许评估不同现象的动态演变的宽带辅助光学传感器各种应用领域:从水文监测和管理到农业应用程序等。 MODIS提供的观察结果与土壤含水量进行NODIORECT物理关系。另一方面,陆地表面温度(LST),NDVI和原位测量的关系很多潜在的间接检索SM信息。设想使用SAR数据进行验证目的,但尚未应用。概述和验证阶段进行在SituumeSurements的测试场所可用。

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