文章基本信息

标题：Mapping key hydrological variables using remotely sensed images integrated in a distributed water balance model
本地全文：下载
作者：Nilda Sánchez ; J. Martínez-Fernández ; Alfonso Calera 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 7A
页码：215-218
出版社：Copernicus Publications
摘要：A cartographic application of remotelysensed images integrated in a distributed water balance ispresented. The imagery consistedinan annual series of Landsat 7 ETM+, from where the NDVI (Normalized Difference Vegetation Index) and the landuses/land cover(lu/lc)mapwereextracted. The soil database came fromapermanentexperimental network of 23 stations for continuousmeasurement of soil moisture (REMEDHUS,Soil Moisture Measurement Stations Network)atthe Duero Basin (Spain). Thetheoretical basis of thewater balanceapplicationderivesfrom FAO56,whichisimproved with a spatialframeimplemented inthecomputerized toolHIDROMORE.In addition tothe imageinputs, climatic andsoilpropertiesdatabaseswere also integrated.MapsofActualEvapotranspiration (AET), Deep Percolation (DP),andIrrigation rates (I)were extracted.Soil moistureseries weresimulated for each REMEDHUS station, and the validation of the simulation wasperformedcomparingsimulatedsoil moistureagainstfield-measured. The results for the area-average soil moistureare:RMSE(Root Mean Square Error)=0.02 cm3cm-3, AI(Agreement Index)=0.90 and R(correlation coefficient)=0.82.It was found that the parameters which showed the most influence inthemapsappearance were the soil characteristics (water content at field capacity andatwilting point),preciselythe parameters thatmost spatially vary andarethe most difficult to acquire
关键词：Modelling; ; Imagery ; ; Landsat; Calibration; Classification