[HTML][HTML] Physical geomorphometry for elementary land surface segmentation and digital geomorphological mapping
By interpretations related to energy, elementary land surface segmentation can be treated
as a physical problem. Many pieces of such a view found in the literature can be combined …
as a physical problem. Many pieces of such a view found in the literature can be combined …
Geomorphons—a pattern recognition approach to classification and mapping of landforms
J Jasiewicz, TF Stepinski - Geomorphology, 2013 - Elsevier
We introduce a novel method for classification and mapping of landform elements from a
DEM based on the principle of pattern recognition rather than differential geometry. At the …
DEM based on the principle of pattern recognition rather than differential geometry. At the …
Elementary forms for land surface segmentation: The theoretical basis of terrain analysis and geomorphological mapping
Land surface morphology is fundamental to geomorphological mapping and many GIS
applications. Review and comparison of various approaches to segmentation of the land …
applications. Review and comparison of various approaches to segmentation of the land …
基于地形梯度的土地利用类型分布特征分析——以湖南省浏阳市为例
梁发超， 刘黎明 - 资源科学, 2010 - resci.cn
地形因素是影响土地利用空间布局的重要因素之一. 以湖南省浏阳市为例, 应用TM
遥感影像数据及DEM 数据, 在ArcGIS 空间分析模块支持下, 采用高程梯度 …
遥感影像数据及DEM 数据, 在ArcGIS 空间分析模块支持下, 采用高程梯度 …
Expert-driven semi-automated geomorphological mapping for a mountainous area using a laser DTM
S van Asselen, AC Seijmonsbergen - Geomorphology, 2006 - Elsevier
In this paper a semi-automated method is presented to recognize and spatially delineate
geomorphological units in mountainous forested ecosystems, using statistical information …
geomorphological units in mountainous forested ecosystems, using statistical information …
Performances of machine learning algorithms for mapping fractional cover of an invasive plant species in a dryland ecosystem
In recent years, an increasing number of distribution maps of invasive alien plant species
(IAPS) have been published using different machine learning algorithms (MLAs). However …
(IAPS) have been published using different machine learning algorithms (MLAs). However …
GeoAI in the US Geological Survey for topographic mapping
EL Usery, ST Arundel, E Shavers… - Transactions in …, 2022 - Wiley Online Library
Geospatial artificial intelligence (GeoAI) can be defined broadly as the application of artificial
intelligence methods and techniques to geospatial data, processes, models, and …
intelligence methods and techniques to geospatial data, processes, models, and …
Supervised landform classification of Northeast Honshu from DEM-derived thematic maps
ODA Prima, A Echigo, R Yokoyama, T Yoshida - Geomorphology, 2006 - Elsevier
This paper proposes a quantitative method to classify landforms using four morphometric
parameters from DEM-derived thematic raster maps of slope and topographic openness …
parameters from DEM-derived thematic raster maps of slope and topographic openness …
Landform classification using topography position index (case study: salt dome of Korsia-Darab plain, Iran)
M Mokarram, G Roshan, S Negahban - Modeling Earth Systems and …, 2015 - Springer
In the research aim is to evaluate the Jennes algorithm for landform classification in salt
dome of Korsia of Darab plain, Iran. The Jennes's approach uses a multi-scale approach by …
dome of Korsia of Darab plain, Iran. The Jennes's approach uses a multi-scale approach by …
A tool for classification and regression using random forest methodology: Applications to landslide susceptibility mapping and soil thickness modeling
Classification and regression problems are a central issue in geosciences. In this paper, we
present Classification and Regression Treebagger (ClaReT), a tool for classification and …
present Classification and Regression Treebagger (ClaReT), a tool for classification and …