Scientists at CSIRO (Australia) engage in a coordinated group of related projects involving land surface reflectance anisotropy. One of the underlying themes of the work is to test/establish the existence of a stable underlying “typology” of BRDF directly attributable to land surface spectral and structural parameters that will allow sensible selections of the “shape functions” used in correcti...

An important approach for unsupervised landcover classification in remote sensing images is the clustering of pixels in the spectral domain into several partitions. In this paper, a multiobjective optimization algorithm is utilized to tackle the problem of partitioning where a number of different cluster validity indices are simultaneously optimized. New multiobjective clustering algorithm uses...

Understanding patterns of habitat selection across a species’ geographic distribution can be critical for adequately managing populations and planning for habitat loss and related threats. However, studies of habitat selection can be time consuming and expensive over broad spatial scales, and a lack of standardized monitoring targets or methods can impede the generalization of site-based studie...

The majority of electricity and heat in Colorado comes from coal and natural gas; however, renewable energy sources will play an integral role in the state’s energy future. Colorado is the 11th windiest state and has more than 250 sunny days per year. The objectives of this research are to: 1) determine which landcover classes are affiliated with high wind and solar potential; and 2) identify a...

ABSTRACT The paper has focussed on the global landcover for identification of cropland areas. Population growth and rapid industrialization are somehow disturbing agricultural lands eventually food production needed human survival. Appropriate land monitoring requires proper management resources. proposed a method mapping by semantic segmentation to identify boundaries estimate areas using mach...