Spatial patterns of land cover in the United States
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Spatial patterns of land cover in the United States a technical document supporting the Forest Service 2010 RPA assessment by Kurt H. Ritters

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Published by Southern Research Station in Ashville, NC .
Written in English

Subjects:

  • Land cover,
  • Spatial ecology,
  • Statistics

Book details:

Edition Notes

StatementKurt H. Ritters
SeriesGeneral technical report -- SRS-136
Classifications
LC ClassificationsQH541.15.S62 R58 2011
The Physical Object
Paginationviii, 64 pages ;
Number of Pages64
ID Numbers
Open LibraryOL25314704M
LC Control Number2011388467

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Spatial patterns of land cover in the United States: a technical document supporting the Forest Service RPA assessment Author: Kurt Riitters ; United States. There are many complicated and non-linear spatial patterns on land use and cover change at different scales. It is very difficult to express these geographic phenomena at a known scale. The aim of this paper is to propose self-organizing map to identify spatial pattern of land use and cover Cited by: 4. The USGS Land Cover Trends project has mapped histori-cal land-cover change from to using the Landsat satellite image archive. The National Land Cover Database (NLCD) provides consistent, periodically updated maps of land cover for the United States, with mapped dates for , , , and The Landscape Fire and Resource Manage-Cited by: 2. Land cover and its spatial patterns are key ingredients in ecological studies that consider large regions and the impacts of human activities. Because land‐cover maps show only cover types and their locations, further processing is needed to extract pattern information and to characterize its spatial by:

Goal is to develop scenarios of land-cover patterns in and in select Michigan counties. Develop an empirical fitting approach at two distinct levels County level estimation of land -cover proportions with econometric model Spatial allocation of land covers using geostatistical simulation. Fig. 8 compares land cover spatial patterns for each time slice in the reconstruction of changes in Northeast China, enabling the following conclusions. Over the past years, cropland expanded gradually from south to north through the cities of Shenyang, Jilin, and Ha’erbin as well as out to the margins of the central plain of Northeast Cited by: NORTH AMERICA LAND COVER SUMMIT true of land cover data, which are now available for the entire conterminous United States at a 30 m resolution for two time periods (early s and early s, Homer et al. ). This provides for an unprecedented evaluation of land cover change and the consequences of change on a wide range ofFile Size: 1MB. The GAP/LANDFIRE National Terrestrial Ecosystems represents a highly thematically detailed land cover map of the U.S. This dataset is produced by the U.S. Geological Survey in collaboration with the LANDFIRE Program. The spatial data layer was created using Landsat satellite imagery and a detailed vegetation and land use classification system.

When studying spatial distribution, there are three basic patterns we expect to find. The first is uniform. A uniform pattern occurs when each data point is spaced within relatively equal distance. The GAP/LANDFIRE National Terrestrial Ecosystems data set includes detailed vegetation and land cover patterns for the continental United States. The data set incorporates the Ecological System classification system developed by NatureServe to represent natural and semi-natural vegetation. The unique classes in the data set can be displayed at three levels of detail, from general (8 classes) . E.F. Lambin, in International Encyclopedia of the Social & Behavioral Sciences, Landscape Spatial Patterns. The spatial pattern of a changing landscape have some information content on the processes of land-cover change. Certain categories of land-use changes tend to fragment the landscape (e.g., expansion of smallholder farming, small-scale logging, overgrazing around deep wells).   With the classification data covering American land-use/land-cover (LUCC) with 30 m resolution from the project of National Land Cover Data (NLCD), we normalized them and made their resolution changed into 1 km × 1 km, created the data of American land-use grade and analyzed the spatial distribution and features of American LUCC as well as the influence of population and altitude on the land Author: Gao Zhiqiang, Liu Jiyuan, Deng Xiangzheng.