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We then emphasize assessing model prediction using inundation maps derived from remotely sensed data.
C-Fix is a mass balance model based on the parameterization of FAPAR derived from remotely sensed NDVI [14].
Current studies of land cover change and landscape fragmentation rely predominantly on land cover classifications derived from remotely sensed images.
The second approach utilizes the products of the MODIS_ET (MOD16) data set that is derived from remotely sensed data by mainly considering above-ground land surface processes.
Coarse-resolution thematic maps derived from remotely sensed data and implemented in GIS play an important role in coastal and marine conservation, research and management.
The model, which is based on land cover derived from remotely sensed satellite imagery, determines the geographic extent, patterns, and classes of urban growth over time.
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Indices derived from remotely-sensed imagery are commonly used to predict soil properties with digital soil mapping (DSM) techniques.
Environmental surrogates and landscape metrics were derived from remotely-sensed images and land-cover/land-use classification data.
In the study, multi-temporal land use datasets, derived from remotely-sensed images from 1995, 2000, and 2005, were used for simulation and validation.
The estimates derived from the survey data are used to modify a spatially-explicit trend-based urban development potential model, derived from remotely-sensed imagery and observed changes in the region's socioeconomic and infrastructural characteristics between 2000 and 2011.
To address these considerations, we fully integrate a 30 m spatial resolution change detection product derived from remotely-sensed data (Landsat, [14]), and a spatial forest inventory [15], into the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3 [16]) CBM-CFS3 [16]l of Canada's Nathenal Forest coreon modelofing, ACanadaing and Reporting System (NFCMARS—[17]).
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