DOI: 10.5194/hess-22-5889-2018
论文题名: The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
作者: Fontanet M. ; Fernàndez-Garcia D. ; Ferrer F.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期: 11 起始页码: 5889
结束页码: 5900
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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163139
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
Fontanet M.,Fernàndez-Garcia D.,Ferrer F.. The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields[J]. Hydrology and Earth System Sciences,2018-01-01,22(11)