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Displaying 496 - 500 of 661Object-oriented classification of land use/cover using digital aerial orthophotography
In automatic/semiautomatic mapping of land use/cover using very high resolution remote-sensing imagery, the major challenge is that a single class of land use contains ground targets with varied spectral values, textures, geometries and spatial features. Here we present an object-oriented strategy for automatic/semiautomatic classifications of land use/cover using very high resolution remote-sensing data. The strategy consists of character detecting, object positioning and coarse classification, then refining the classification result step by step.
Monitoring forest changes in Borneo on a yearly basis by an object-based change detection algorithm using SPOT-VEGETATION time series
Monitoring land cover over large areas on a yearly basis is challenging. The spatial and temporal consistency of an object-based change detection algorithm was tested through a multi-year application on the forest of Borneo, using SPOT-VEGETATION time series from 2000 to 2008. Continuous change thresholds allowed the tuning of the algorithm according to specific requirements in terms of omission and commission errors.
comparative analysis of spatial indices and wavelet-based classification
Spatial indices measure the geometric arrangement of land use and land cover classes at various scales and are computationally adaptive with wavelet transform coefficients. Decision rules built on permutations of three spatial indices – energy, log energy and Shannon's diversity – are used to improve the accuracy of multi-resolution hierarchical wavelet-based classifications. Comparisons are made with classification results derived from other texture measures, as well as with classification results calculated from more conventional per-pixel techniques.
Impact of sample size allocation when using stratified random sampling to estimate accuracy and area of land-cover change
The ground reference data obtained to assess map accuracy can be simultaneously used to estimate area (extent). This dual-purpose use of ground reference data is examined for the special case of a two-class map of ‘change’ and ‘no change’. To assess the accuracy of a change map, stratified sampling is often implemented with a disproportionately larger sample size allocated to the map change stratum. But this allocation targeting user's accuracy of change is not necessarily effective for the competing objective of estimating the area of change.
Catching the Spirit: A Study of Bureau of Land Management Wild Horse Adopters in New England
Between 1971 and 2009, the U.S. Bureau of Land Management (BLM) adopted out nearly 225,000 horses and burros in the wild (wild horses and burro) who were removed from public lands (BLM, 2009). The inability of the BLM to adopt out wild horses as quickly as they are removed and recurring reports that many wild horse adoptions fail suggests that a better understanding of the adoption program is warranted. This study surveyed and interviewed 38 New Englanders who collectively adopted 68 wild horses directly from the BLM during the last 15 years.