Results 31 to 40 of about 2,782 (273)
Data types for landform classification.
, 2021 Data types for landform classification.
Chi Hong Lim (11654802) +2 more
core +1 more source
Landform classification of New Mexico by computer [PDF]
Open-File Report, 1991 Note: The shaded relief map, Plate 2 in this report, is a degraded image from an original 24 inch by 30 inch negative. A better quality contact photographic print is available for $58 each (price subject to change without notice) by sending a check payable to C-L Custom Photo Co., c/o U.S.
Richard Dikau +2 more
openaire +1 more source
Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs
ISPRS International Journal of Geo-Information, 2021 Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms.
Hong Wei +5 more
doaj +1 more source
Landform Classification in Raster Geo-images [PDF]
, 2004 We present an approach to perform a landform classification of raster geo-images to obtain the semantics of DEMs. We consider the following raster layers: slope, profile curvature and plan curvature, which have been built to identify the intrinsic properties of the landscape. We use a multi-valued raster to integrate these layers. The attributes of the
Marco Moreno 0001 +3 more
openaire +1 more source
AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
Mercator, 2020 Abstract Relief classification methodologies seek to define the parameters that determine those parts of the terrestrial surface that present homogeneous forms and elements. The rapid development of geotechnology has increasingly provided tools and methodologies that assist in studies related to relief.
Romario Trentin +1 more
openaire +4 more sources
Tools for Semi-automated Landform Classification: A Comparison in the Basilicata Region (Southern Italy) [PDF]
, 2020 Recent advances in spatial methods of digital elevation model (DEMs) analysis have addressed many research topics on the assessment of morphometric parameters of the landscape.
Dario Gioia +5 more
core +1 more source
Remote Sensing, 2021 Landform recognition is one of the most significant aspects of geomorphology research, which is the essential tool for landform classification and understanding geomorphological processes.
Siwei Lin, Nan Chen, Zhuowen He
doaj +1 more source
Deep learning-based automated terrain classification using high-resolution DEM data
International Journal of Applied Earth Observations and Geoinformation, 2023 Landforms are a fundamental component of the natural environment, and digital terrain mapping on a large spatial scale is important when studying landforms. In this study, we adopted a semantic segmentation model in computer vision to classify elementary
Jiaqi Yang +5 more
doaj +1 more source
Suitability of Hammond's method for determining landform units in Slovenia
Acta Geographica Slovenica, 2009 Landform is often the most important factor in distinguishing between regions and an important element of geographic classification, typification, and regionalization; this is why morphological classification has had a long tradition in Slovenia and ...
Mauro Hrvatin, Drago Perko
doaj +1 more source
Characteristics and comprehensive evaluation of important geological heritage resources in Tianjin
Shuiwen dizhi gongcheng dizhi, 2022 Geological heritage is an important part of natural resources. Properly handling the relationship between protection and utilization of geological heritage in a high urbanization level area is one of the ecological measures to promote the high-quality ...
Zhihua LI +4 more
doaj +1 more source