DOI: 10.5194/hess-18-5219-2014
Scopus记录号: 2-s2.0-84918582872
论文题名: Agro-hydrology and multi-temporal high-resolution remote sensing: Toward an explicit spatial processes calibration
作者: Ferrant S ; , Gascoin S ; , Veloso A ; , Salmon-Monviola J ; , Claverie M ; , Rivalland V ; , Dedieu G ; , Demarez V ; , Ceschia E ; , Probst J ; -L ; , Durand P ; , Bustillo V
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 12 起始页码: 5219
结束页码: 5237
语种: 英语
Scopus关键词: Budget control
; Calibration
; Catchments
; Climate models
; Computer simulation
; Cultivation
; Land use
; Nitrates
; Nitrogen
; Remote sensing
; Satellites
; Agricultural practices
; High resolution remote sensing
; High resolution satellite images
; Hydrological modeling
; Spatial and temporal resolutions
; Spatial observation
; Spatial representations
; Stream contamination
; Crops
; calibration
; catchment
; crop production
; FORMOSAT
; image resolution
; leaf area index
; nitrate
; satellite imagery
; satellite mission
; Sentinel
; spatial analysis
英文摘要: The growing availability of high-resolution satellite image series offers new opportunities in agro-hydrological research and modeling. We investigated the possibilities offered for improving crop-growth dynamic simulation with the distributed agro-hydrological model: topography-based nitrogen transfer and transformation (TNT2). We used a leaf area index (LAI) map series derived from 105 Formosat-2 (F2) images covering the period 2006-2010. The TNT2 model (Beaujouan et al., 2002), calibrated against discharge and in-stream nitrate fluxes for the period 1985-2001, was tested on the 2005-2010 data set (climate, land use, agricultural practices, and discharge and nitrate fluxes at the outlet). Data from the first year (2005) were used to initialize the hydrological model. A priori agricultural practices obtained from an extensive field survey, such as seeding date, crop cultivar, and amount of fertilizer, were used as input variables. Continuous values of LAI as a function of cumulative daily temperature were obtained at the crop-field level by fitting a double logistic equation against discrete satellite-derived LAI. Model predictions of LAI dynamics using the a priori input parameters displayed temporal shifts from those observed LAI profiles that are irregularly distributed in space (between field crops) and time (between years). By resetting the seeding date at the crop-field level, we have developed an optimization method designed to efficiently minimize this temporal shift and better fit the crop growth against both the spatial observations and crop production. This optimization of simulated LAI has a negligible impact on water budgets at the catchment scale (1 mm yr-1 on average) but a noticeable impact on in-stream nitrogen fluxes (around 12%), which is of interest when considering nitrate stream contamination issues and the objectives of TNT2 modeling. This study demonstrates the potential contribution of the forthcoming high spatial and temporal resolution products from the Sentinel-2 satellite mission for improving agro-hydrological modeling by constraining the spatial representation of crop productivity. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78036
Appears in Collections: 气候变化事实与影响
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作者单位: Université de Toulouse, UPS, Centre d'Etude Spatiale de la BIOsphère (CESBIO), 18 av. Edouard Belin, bpi 2801, Toulouse, Cedex 9, France; Centre National d'Etudes Spatiales (CNES), CESBIO, Toulouse, France; CNRS-CESBIO, Toulouse, France; INRA - UMR1069 Sol Agro et Hydrosystème Spatialisation (SAS), Rennes, France; Agrocampus Ouest, UMR1069, SAS, Rennes, France; Department of Geographical Sciences, University of Maryland, College Park, MD, United States; NASA-Goddard Space Flight Center, Greenbelt, MD, United States; Université de Toulouse, Laboratoire d'Ecologie Fonctionnelle et Environnement (EcoLab), ENSAT, Avenue de l'Agrobiopole, BP 32607 Auzeville-Tolosane, Castanet-Tolosan Cedex, France; CNRS, Ecolab, ENSAT, Avenue de l'Agrobiopole, Castanet, France
Recommended Citation:
Ferrant S,, Gascoin S,, Veloso A,et al. Agro-hydrology and multi-temporal high-resolution remote sensing: Toward an explicit spatial processes calibration[J]. Hydrology and Earth System Sciences,2014-01-01,18(12)