The synergy of hydrological modelling and vegetation mapping proves advantageous and reveals some of the ecological differences in the catchment.
Based on two period GaoFen-1 (GF-1) images, the dimidiate pixel model and vegetation coverage estimation model were applied to detect the changes of vegetation covers from 2013 to 2015 in Dunhuang oasis.
Linear regressions of the relationship between the frequencies of each morph and the two most informative predictors from the multiple matrix regression models (aridity and vegetation) revealed a consistent pattern of association underpinning the distance-based relationships.
In 1986, efforts began to initialize and model soil and vegetation types, which led to more realistic forecasts.
A classification of spatial simulation models of fire and vegetation dynamics (landscape fire succession models or LFSMs) is presented.
Comparison of full and constrained maximum Multiple State Speciation and Extinction (MuSSE) models considering altitude and vegetation and Binary State Speciation and Extinction (BiSSE) models for the molar plan.
Based on two period GaoFen-1 images, combined with field survey data, the dimidiate pixel model and fractional vegetation coverage estimation model were applied to detect the changes of local vegetation coverage from July 2013 to July 2015.
This problem was assessed for two Mediterranean watersheds by a combined application of the PROMES regional climate model, the SWAT continuous hydrological and vegetation model, and the MEFIDIS storm runoff and erosion model.
The observations are interpreted by combining a radiative transfer model and a vegetation growth model in a similar approach to the one developed by Frison et al., 1998 and Jarlan et al., 2002a, 2002b, 2003.
Potential habitats of gray-faced buzzard (Butastur indicus), one of the umbrella species in agro-forested landscape in Japan, were identified in this study based on a precise landscape classification of small valleys called Yatsu, using 50 m-grid digital elevation model and digitized vegetation data.
