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Subsequently, a forest fragmentation model (non-traditional forest landscape pattern index) was built to analyze the forest fragmentation patterns and interference modes.
The forest was further classified into high dense forest, low dense forest, and shrub forest to analyze the forest transition process, among these forest types or between forests and other landscape types.
This study does not analyze the forest degradation output of CLASlite 3.0.
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We analyzed the forest patches distribution in three study zones within Spain with diverse spatial configuration from CORINE land cover data.
JLC conducted and analyzed the forest landscape simulations and crafted the manuscript figures.
A prefire land cover map was generated using the object oriented classification approach to analyze the burned forest types.
Remote sensing and spatial modeling techniques offer a practical means to monitor and examine changes in forest cover, analyze the implications of forest policies, predict spatial patterns of forest cover in the future, and relate these patterns to carbon stock densities [9, 14 16].
Remote sensing and spatial modeling techniques offer a practical means to monitor and examine changes in forest cover, analyze the implications of forest policies, predict spatial patterns of forest cover in the future, and relate these patterns to carbon stock densities [ 9, 14– 16].
This study presents the main forest policies in China and implements a logistic regression model to analyze the changes in forest land in the study area (Jiangxi Province) and the primary influencing factors for these changes under the forest policies from 1990 to 2010.
In this paper, we analyze the impact of forest change on water and sediment fluxes for a highly degraded Andean catchment.
On the basis of vegetation and land cover data, we applied the equivalent connected area ECA PC) indicator to analyze the changes in forest connectivity.
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