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Displaying 846 - 850 of 1605Grazing as a post-mining land use: A conceptual model of the risk factors
Driven principally by government regulation and societal expectations, mining companies around the world are seeking to mitigate the environmental impacts of mining through mined land rehabilitation programs. The ultimate goal of rehabilitation is to establish an acceptable and sustainable post-mining land use. Mining companies worldwide face the challenge of specifying just what a sustainable post-mining land use will be.
Comparison of cropland and forest surface temperatures across the conterminous United States
Global climate models (GCM) investigating the effects of land cover on climate have found that replacing extra-tropical forest with cropland promotes cooling. We compared cropland and forest surface temperatures across the continental United States in 16 cells that were approximately 1°×2° using 1km² MODIS land surface temperature (LST) data and land cover from the 0.0009km² National Land Cover Database (NLCD). We found that forest surface temperatures tended to be cooler than cropland surface temperatures. This relationship held for spring, summer, fall, and annually.
integrated spatial planning model for climate change adaptation in coastal zones
This research highlights the spatial planning approach for coastal sustainability and adaptation to climate change. The dilemma of spatial planning in a dynamic and complex coastal environment as well as the establishment of a coastal buffer zone as an adaptation measure for climate change are elaborated upon. In particular, this study outlines the limitations of two of the traditional approaches used for spatial planning (optimization and simulation) and the opportunities that present themselves when combining both models for coastal zone planning.
Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia
Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are now readily accessible, but are not being fully utilised by management agencies due to the lack of appropriate methods to consistently produce accurate and timely management ready information. This work developed an object-based remote sensing approach to map land cover and seagrass distribution in an Australian coastal environment for a 38year Landsat image time-series archive (1972–2010).
Bi-scale analysis of multitemporal land cover fractions for wetland vegetation mapping
Land cover fractions (LCFs) derived through spectral mixture analysis are useful in understanding sub-pixel information. However, few studies have been conducted on the analysis of time-series LCFs. Although multi-scale comparisons of spectral index, hard classification, and land surface temperature images have received attention, rarely have these approaches been applied to LCFs.