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Greg Levandoski

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The Bird Conservancy of the Rockies will use, combine and optimize an array of remote sensing techniques to identify the most efficient process that characterizes grasslands and level of shrub component in those grasslands. The project will classify a pilot area, the Janos Grassland Priority Conservation Area, which contains the majority of the Janos Biosphere Reserve, using a variety of remote sensing approaches. In the process they will identify the best techniques for decomposing grass-shrub intermix at low densities and identify the best approaches for large scale application of remote sensing to classify the desert grasslands and shrublands.
Grasslands are among the most threatened ecosystems on the planet (Hoekstra et al 2004). Recently, the bird conservation and grasslands communities have united around a forward looking approach to conservation planning. To accomplish this the following information is needed:1) The location, quantity, and quality of desert grasslands,2) the regional risks associated with loss or degradation of grasslands,3) the vulnerability of those grasslands and the species that depend on them to environmental and climate stressors,4) where and what types of programs or partnerships exist on the landscape to address system stressors and implement further conservation programs, and5) what capacity for conservation do these entities...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
The Bird Conservancy of the Rockies will use, combine and optimize an array of remote sensing techniques to identify the most efficient process that characterizes grasslands and level of shrub component in those grasslands. The project will classify a pilot area, the Janos Grassland Priority Conservation Area, which contains the majority of the Janos Biosphere Reserve, using a variety of remote sensing approaches. In the process they will identify the best techniques for decomposing grass-shrub intermix at low densities and identify the best approaches for large scale application of remote sensing to classify the desert grasslands and shrublands.
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