气候变化领域集成服务门户(CCPortal): The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields

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DOI	10.5194/hess-22-5889-2018
	The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
	Fontanet M.; Fernàndez-Garcia D.; Ferrer F.
发表日期	2018
ISSN	1027-5606
起始页码	5889
结束页码	5900
卷号	22 期号:11
英文摘要	Soil moisture measurements are needed in a large number of applications such as hydro-climate approaches, watershed water balance management and irrigation scheduling. Nowadays, different kinds of methodologies exist for measuring soil moisture. Direct methods based on gravimetric sampling or time domain reflectometry (TDR) techniques measure soil moisture in a small volume of soil at few particular locations. This typically gives a poor description of the spatial distribution of soil moisture in relatively large agriculture fields. Remote sensing of soil moisture provides widespread coverage and can overcome this problem but suffers from other problems stemming from its low spatial resolution. In this context, the DISaggregation based on Physical And Theoretical scale CHange (DISPATCH) algorithm has been proposed in the literature to downscale soil moisture satellite data from 40 to 1 km resolution by combining the low-resolution Soil Moisture Ocean Salinity (SMOS) satellite soil moisture data with the high-resolution Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST) datasets obtained from a Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. In this work, DISPATCH estimations are compared with soil moisture sensors and gravimetric measurements to validate the DISPATCH algorithm in an agricultural field during two different hydrologic scenarios: wet conditions driven by rainfall events and wet conditions driven by local sprinkler irrigation. Results show that the DISPATCH algorithm provides appropriate soil moisture estimates during general rainfall events but not when sprinkler irrigation generates occasional heterogeneity. In order to explain these differences, we have examined the spatial variability scales of NDVI and LST data, which are the input variables involved in the downscaling process. Sample variograms show that the spatial scales associated with the NDVI and LST properties are too large to represent the variations of the average soil moisture at the site, and this could be a reason why the DISPATCH algorithm does not work properly in this field site. © 2018 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	Moisture control; Moisture meters; Radiometers; Rain; Remote sensing; Satellites; Scheduling; Soil moisture; Sprinkler systems (irrigation); Time domain analysis; Gravimetric measurements; Land surface temperature; Moderate resolution imaging spectroradiometer sensors; Normalized difference vegetation index; Satellite remote sensing; Soil moisture measurement; Soil moisture ocean salinities; Time-domain reflectometry techniques; Soil surveys; agricultural land; algorithm; genetic algorithm; hydrometeorology; irrigation system; MODIS; NDVI; rainfall; remote sensing; satellite data; satellite sensor; SMOS; soil moisture; spatial resolution; surface temperature; time domain reflectometry
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159856
作者单位	Fontanet, M., LabFerrer, Cervera, 25200, Spain, Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya (UPC), Barcelona, 08034, Spain, Hydrogeology Group (UPC-CSIC), Spain; Fernàndez-Garcia, D., Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya (UPC), Barcelona, 08034, Spain, Hydrogeology Group (UPC-CSIC), Spain; Ferrer, F., LabFerrer, Cervera, 25200, Spain
推荐引用方式 GB/T 7714	Fontanet M.,Fernàndez-Garcia D.,Ferrer F.. The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields[J],2018,22(11).
APA	Fontanet M.,Fernàndez-Garcia D.,&Ferrer F..(2018).The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields.Hydrology and Earth System Sciences,22(11).
MLA	Fontanet M.,et al."The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields".Hydrology and Earth System Sciences 22.11(2018).