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Jump to Main Content. Selections 0 Show Selections Clear Selections. In turn, the hydrology of an area affects the infrastructure.

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Metrics details. In the Inland Pacific Northwest of the United States, fire is a dominant driver of ecological change. Within wildfire perimeters, fire effects often vary considerably and typically include remnant patches of unburned islands.

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This chapter presents place of geomorphometry in contemporary geomorphology. The focus is on discussing digital elevation models DEMs that are the primary data source for the analysis. One has described the genesis and definition, main types, data sources and available free global DEMs.

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Knowledge about the spatial distribution of active-layer AL soil thickness is indispensable for ecological modeling, precision agriculture, and land resource management. However, it is difficult to obtain the details on AL soil thickness by using conventional soil survey method. In this research, the objective is to investigate the possibility and accuracy of mapping the spatial distribution of AL soil thickness through random forest RF model by using terrain variables at a small watershed scale. A total of soil samples collected from the slope fields were randomly divided into calibration soil samples and validation soil samples sets.

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Soil-landscape studies explore the relations between earth system processes, topography, and soil development. Soil scientists often rely on their knowledge of soil-topography-hydrology-vegetation relationships to infer soil types from landforms delineated on aerial photographs. This knowledge allows them to make assumptions about soil attributes and to identify areas for field verification.

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Mapping soils in two watersheds using legacy data and extrapolation for similar surrounding areas. Existing soil maps legacy data associated with digital mapping techniques are alternatives to obtain information at lower costs, however, tests are required to do it more efficiently. This study had as objectives to compare different methods to extract information from detailed scale soil maps using decision trees for mapping soil classes at two watersheds in Minas Gerais, validate these maps in the field and use the best method to extrapolate information to larger areas, also validating these maps of larger areas.

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Identification of high-risk malaria foci can help enhance surveillance or control activities in regions where they are most needed. This study examined whether environmental factors like land-cover, land-use, and urban density improved malaria risk prediction based solely on the topographically-determined context, as measured by the topographic wetness index. The topographic wetness index, an estimate of predicted water accumulation in a defined area, was generated from a digital terrain model of the landscape surrounding households in two neighbouring western Kenyan highland communities.

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Abstract The main objective of this study is to classify landforms within a watershed using advanced spatial statistics and image processing algorithms to identify and extract local geomorphometric properties of Digital Elevation Models DEMs with 20 m resolution. By using TPI, the landscape was classified into both slope position and landform category. Landform categories were determined by classifying the landscape using 2 TPI grids at different scales neighborhoods: a 50 m radius and m radius.

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