Geomorphometry-Automatic Landform Classification
In the past, landforms were represented in physiographic and morphometric maps by hand drawing. With developments in digital elevation models (DEM), geographic information systems (GIS) and image analyses, automatic extraction of landforms from morphological parameters and data storage in databases is now possible and are actively utilized in various ...
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Modeling the seasonal wildfire cycle and its possible effects on the distribution of focal species in Kermanshah Province, western Iran. [PDF]
Morovati M, Karami P.
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Beyond traditional methods: Innovative integration of LISS IV and Sentinel 2A imagery for unparalleled insight into Himalayan ibex habitat suitability. [PDF]
Dutta R +8 more
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Processing and mounting phlebotomine sand flies: a consensus guideline. [PDF]
Randrianambinintsoa FJ +63 more
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Forestry Applications of Space-Borne LiDAR Sensors: A Worldwide Bibliometric Analysis. [PDF]
Aguilar FJ +4 more
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South Arabia's prehistoric monument landscape shows social resilience to climate change. [PDF]
McCorriston J +9 more
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The status and future of essential geodiversity variables. [PDF]
Schrodt F +16 more
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Geomorphometry 2025. The 8th Conference of the International Society for Geomorphometry. Proceedings
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An illustrated introduction to general geomorphometry
Progress in Physical Geography, 2017Geomorphometry is widely used to solve various multiscale geoscientific problems. For the successful application of geomorphometric methods, a researcher should know the basic mathematical concepts of geomorphometry and be aware of the system of morphometric variables, as well as understand their physical, mathematical and geographical meanings.
Igor Florinsky
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