From MFKP_wiki

Jump to: navigation, search

Selection: Mitasova:H [7 articles] 

Publications by author Mitasova:H.
 

Generalized 3D fragmentation index derived from lidar point clouds

  
Open Geospatial Data, Software and Standards, Vol. 2, No. 1. (20 April 2017), https://doi.org/10.1186/s40965-017-0021-8

Abstract

[Background] Point clouds with increased point densities create new opportunities for analyzing landscape structure in 3D space. Taking advantage of these dense point clouds we have extended a 2D forest fragmentation index developed for regional scale analyses into a 3D index for analyzing vegetation structure at a much finer scale. [Methods] Based on the presence or absence of points in a 3D raster (voxel model) the 3D fragmentation index is used to evaluate the configuration of a cell’s 3D neighborhood resulting in fragmentation classes ...

 

Open Source software and GIS

  
In Open source GIS a GRASS GIS approach, Vol. 773 (2008), pp. 1-6, https://doi.org/10.1007/978-1-4757-3578-9_1

Abstract

Over the past decade, Geographical Information Systems (GIS) have evolved from a highly specialized niche to a technology that affects nearly every aspect of our lives, from finding driving directions to managing natural disasters. While just a few years ago the use of GIS was restricted to a group of researchers, planners and government workers, now almost everybody can create customized maps or overlay GIS data. On the other hand, many complex problems related to urban and regional planning, environmental protection, or business management, require ...

 

GRASS GIS manual: v.surf.rst

  
In GRASS Development Team, 2014. GRASS GIS 7.1svn Reference Manual (2014)

Abstract

v.surf.rst - Performs surface interpolation from vector points map by splines. Spatial approximation and topographic analysis from given point or isoline data in vector format to floating point raster format using regularized spline with tension. ...

 

Using soil erosion modeling for improved conservation planning: a GIS-based tutorial

  
(2001)

Abstract

Spatially and temporally explicit predictive abilities are needed to prevent and mitigate land degradation, off-site damage, and unsafe military training environments caused by excessive erosion, deposition, and runoff. The U.S. Army Corps of Engineers, Engineering Research and Development Center, Construction Engineering Research Laboratory, in collaboration with instrumental research partners at the University of Illinois at Urbana-Champaign Geographic Modeling Systems Lab, has made considerable progress in developing predictive erosion/deposition modeling capabilities. [\n] This report, "Using Soil Erosion Modeling for Improved Conservation Planning: ...

 

Validation of a 3-D enhancement of the Universal Soil Loss Equation for prediction of soil erosion and sediment deposition

  
CATENA, Vol. 64, No. 2-3. (December 2005), pp. 281-296, https://doi.org/10.1016/j.catena.2005.08.010

Abstract

A study was conducted on three U.S. military training areas to validate the Unit Stream Power Erosion and Deposition (USPED) model, a 3-dimensional enhancement to the Universal Soil Loss Equation (USLE). The USPED model differs from other USLE-based models in the manner in which it handles the influence of topography on the erosion process. As a result, the USPED model predicts both erosion and deposition, while most other USLE-based models are limited to predictions of erosion only. Erosion and deposition from ...

 

Environmental Modeling Using Open Source Tools

  
Encyclopedia of GIS In Encyclopedia of GIS (2008), pp. 275-279, https://doi.org/10.1007/978-0-387-35973-1_355

Abstract

[Definition] Geospatial data can include socioeconomic, environmental, geophysical, and technical data about the Earth and societal infrastructure and hence is pivotal in environmental modeling and management (EMM). Desktop, web-based, and embedded geospatial systems have become an essential part of EMM, providing pre- or post-processing of geospatial data, analysis and visualization of results using a graphical user interface (GUI). When combined with the growing culture of free and open source software (FOSS), this combination of geographic information systems) GIS and environmental modeling ...

 

Open source GIS a GRASS GIS approach

  

Abstract

Includes material relating to GRASS6, this third edition contains sections covering database management working with attributes and SQL, reflecting the substantial extension of GRASS capabilities for managing attributes stored in various database systems. ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/author/Mitasova:H

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.