Uncertainties associated with digital elevation models for hydrologic applications: a review
SP Wechsler - Hydrology and Earth System Sciences, 2007 - hess.copernicus.org
Digital elevation models (DEMs) represent the topography that drives surface flow and are
arguably one of the more important data sources for deriving variables used by numerous …
arguably one of the more important data sources for deriving variables used by numerous …
[BOOK][B] Terrain analysis: principles and applications
JP Wilson, JC Gallant - 2000 - books.google.com
The only reference on the use of GIS and related technologies in terrain analysis In this
landmark publication, reflecting the collaborative effort of thirteen research groups based in …
landmark publication, reflecting the collaborative effort of thirteen research groups based in …
[BOOK][B] Introduction to geographic information systems
KT Chang - 2008 - sutlib2.sut.ac.th
Information Systems Page 1 FIFTH EDITION Introduction to Geographic Information Systems
Kang-Tsung Chang McGRAW-HILL INT ERN ATIONAL EDITION Page 2 ENTS Preface xiii …
Kang-Tsung Chang McGRAW-HILL INT ERN ATIONAL EDITION Page 2 ENTS Preface xiii …
[BOOK][B] The geomorphological characterisation of digital elevation models
J Wood - 1996 - search.proquest.com
Techniques and issues are considered surrounding the characterisation of surface form
represented by Digital Elevation Models (DEMs). A set of software tools suitable for use in a …
represented by Digital Elevation Models (DEMs). A set of software tools suitable for use in a …
Causes and consequences of error in digital elevation models
All digital data contain error and many are uncertain. Digital models of elevation surfaces
consist of files containing large numbers of measurements representing the height of the …
consist of files containing large numbers of measurements representing the height of the …
Digital elevation model resolution: effects on terrain attribute calculation and quantitative soil-landscape modeling
JA Thompson, JC Bell, CA Butler - Geoderma, 2001 - Elsevier
The accuracy of digital elevation models (DEM) and DEM-derived products depends on
several factors, including the horizontal resolution and vertical precision at which the …
several factors, including the horizontal resolution and vertical precision at which the …
Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery
S Li, L **
Y Garosi, M Sheklabadi, HR Pourghasemi… - Geoderma, 2018 - Elsevier
Gully erosion has been identified as an important soil degradation process and sediment
source, especially in arid and semiarid areas. Thus, it is useful to identify the spatial …
source, especially in arid and semiarid areas. Thus, it is useful to identify the spatial …
[HTML][HTML] Geoscience-aware deep learning: A new paradigm for remote sensing
Abstract Information extraction is a key activity for remote sensing images. A common
distinction exists between knowledge-driven and data-driven methods. Knowledge-driven …
distinction exists between knowledge-driven and data-driven methods. Knowledge-driven …