Three machine learning subpixel estimation methods (Cubist, Random Forests, and support vector regression) were applied to estimate urban cover. Urban forest canopy cover and impervious surface cover were estimated from Landsat-7 ETM imagery using a higher resolution cover map resampled to 30 m as training and reference data. Three different band combinations (reflectance, tasseled cap, and bot...

Funding information U.S. Department of the Interior Southeast Climate Center; U.S. Department of Agriculture Forest Service Eastern Forest Environmental Threat Assessment Center; U.S. Geological Survey National Water Census Abstract 1. Streamflow is essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Changes in climate, land use and water use practi...

Abstract Land-use changes often have significant impact on the water cycle, including changing groundwater/surface-water interactions, modifying groundwater recharge zones, and increasing risk of contamination. Surface runoff in particular is significantly impacted by land cover. As surface can act as a carrier for contaminants found at surface, it important to characterize dynamics anthropogen...

As landscapes are increasingly modified due to anthropogenic processes such as urbanisation or development for agriculture, the need understand wildlife habitat requirements is imperative. This particularly pertinent species that threatened, apex predators with specific nest, den, food requirements. Identifying responses thresholds can provide an understanding of what resources using avoiding, ...

Impervious surfaces, as a key indicator of urban spatial environmental factors, have great significance in exploring the distribution law and pattern rural-urban fringe areas. To handle increasingly rich feature information complicated structure high resolution remote sensing images (HSRRSIs), semantic network model-guided extraction method for HSRRSI impervious surfaces fringes is proposed. Th...

Impervious surfaces caused by rapid urbanization affect the environment and increase disaster risk. Currently, most studies have extracted impervious manual participation for training samples with medium-and-high spatial resolution remote sensing images. Therefore, it is necessary to develop a new method improving efficiency of sample acquisition accuracy surface extraction. In this paper, nove...