Spatial distribution of soil water content from airborne thermal and optical remote sensing data

机译：机载热和光学遥感数据中土壤水分的空间分布

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Spatial and temporal information of soil water content is of essential importance for modelling of land surface processes in hydrological studies and applications for operative systems of irrigation management. In the last decades, several remote sensing domains have been considered in the context of soil water content monitoring, ranging from active and passive microwave to optical and thermal spectral bands.rnIn the framework of an experimental campaign in Southern Italy in 2007, two innovative methodologies to retrieve soil water content information from airborne earth observation (E.O.) data were exploited: a) analyses of the dependence of surface temperature of vegetation with soil water content using thermal infrared radiometer (TIR), and b) estimation of superficial soil moisture content using reflectance in the visible and near infrared regions acquired from optical sensors.rnThe first method (a) is applicable especially at surfaces completely covered with vegetation, whereas the second method is preferably applicable at surfaces without or with sparse vegetation. The synergy of both methods allows the establishment of maps of spatially distributed soil water content.rnResults of the analyses are presented and discussed, in particular in view of an operative context in irrigation studies.

机译：土壤含水量的时空信息对于水文研究中土地表面过程的建模以及灌溉管理系统的应用至关重要。在过去的几十年中，在土壤水分监测中考虑了多个遥感领域，从主动和被动微波到光学和热能谱带。rn在2007年意大利南部的一项实验活动的框架内，两种创新方法从机载地球观测（EO）数据中检索土壤含水量信息：a）使用热红外辐射计（TIR）分析植被的表面温度与土壤含水量的相关性，以及b）使用表面活性剂估算表层土壤含水量从光学传感器获取的可见光和近红外区域的反射率。rn第一种方法（a）特别适用于完全覆盖有植被的表面，而第二种方法最好适用于无植被或稀疏植被的表面。两种方法的协同作用可以建立空间分布的土壤含水量图。rn提出和讨论了分析结果，尤其是考虑到灌溉研究的操作环境。

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《Remote sensing for agriculture, ecosystems, and hydrology XI》|2009年|P.74720W.1-74720W.11|共11页
会议地点 Berlin(DE)
作者
Katja Richter; rnMario Palladino; rnFrancesco Vuolo; rnLuigi Dini; rnGuido DUrso;
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作者单位

Department of Agricultural Engineering and Agronomy (DIAAT), University of Naples 'Federico II', via Universita 100, 80055 Portici (Na), Italy;

rnDepartment of Agricultural Engineering and Agronomy (DIAAT), University of Naples 'Federico II', via Universita 100, 80055 Portici (Na), Italy;

Ariespace s.r.l., Spin-off University of Naples Federico II, via Roma 47,1-80056 Ercolano (Na), Italy;

rnASI, Centra di Geodesia Spaziale, Unita Applicativa Osservazione della Terra, c.p. 11 - 75100, Matera, Italy;

rnDepartment of Agricultural Engineering and Agronomy (DIAAT), University of Naples 'Federico II', via Universita 100, 80055 Portici (Na), Italy;

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原文格式 PDF
正文语种 eng
中图分类环境遥感;
关键词
soil water content; PROSPECT+SAILH model; look-up table; optical E.O. data; thermal E.O. data;

机译：土壤含水量； PROSPECT + SAILH模型；查找表;光学E.O.数据;热电数据;

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Spatial distribution of soil water content from airborne thermal and optical remote sensing data

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