Temporal land use analyses show a decrease in the evergreen forest cover from 57.31 % (1979) to 32.08 % (2013).
We analyse the age distributions of forest fragments, using detailed temporal land cover data derived from aerial photographs.
This paper describes a software package called Spatially Explicit Agricultural Dynamics (SEAD), which investigates agricultural spatial and temporal land-use changes.
Fragmentation of forests at the landscape level was assessed in order to understand the spatial-temporal patterns in forest degradation using temporal land use (1979 to 2013) information.
Temporal land use analyses (Fig. 5) show a decrease in the evergreen forest cover from 57.31 % (1979) to 32.08 % (2013).
Temporal land cover maps increase the efficiency of land monitoring process by providing a set of observations so that any changes in the landscape can be tracked.
Simulating soil erosion variation with a temporal land use database reveals long-term fluctuations in landscape patterns, as well as priority needs for soil erosion conservation.
A combination of conventional survey methods, participatory analysis, soil description and aerial photo interpretations were used in the analysis of spatial and temporal land-use patterns.
The standard FAO classification scheme provides a standardized system of classification that can be used to analyze spatial and temporal land cover variability in the study area.
