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Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform, aspect, etc.) to model natural and semi-natural vegetation. Landcover classes are drawn from NatureServe's Ecological System concept, with 109 of the 125 total classes mapped at the system level. For the majority of classes, a decision tree classifier was used to discriminate landcover types, while a minority of classes (e.g. urban classes, sand dunes, burn scars, etc.) were mapped using other techniques. Twenty mapping areas, each characterized by similar ecological and spectral characteristics, were modeled independently of one another. These mapping...
In September 2013 the Springs Stewardship Institute received funding from the BOR to map springs and springs-dependent species in the DLCC. Since then we have configured our server, migrated our geodatabase to an ArcSDE, and published several WMS and WFS to our domain at https://arcgis.springsdata.org/arcgis/rest/services . This includes a WMS of springs in the DLCC that we have also made available through ArcGIS Online at http://bit.ly/1k6zo7p . We have also migrated our non-spatial survey data to an online application at http://springsdata.org/index.php . This is a user-friendly interface for a MySQL database that includes georeferencing, geomorphology, flow, flora, fauna, water quality, and condition assessment...
Categories: Data, Web Site; Tags: ArcGIS Online, Conservation NGOs, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, All tags...
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The Gap Analysis Program (GAP) Land Cover Viewer displays data on the vegetation and land use patterns of the continental United States. The GAP Land Cover Data Version 2.2 provides detailed information on the vegetation of the United States using consistent satellite base data and classification systems. This allows data users to make conservation or land use planning decisions for the entire range of a habitat type across administrative boundaries. GAP Land Cover Data Version 2.2 combines ecological system data from previous GAP projects in the Southwest, Southeast, and Northwest United States with recently updated California data. For Alaska ,and areas of the continental United States, where ecological system-level...
The Multi-Resolution Land Characteristics (MRLC) Consortium is a group of federal agencies who first joined together in 1993 ( MRLC 1992 ) to purchase Landsat 5 imagery for the conterminous U.S. and to develop a land cover dataset called the National Land Cover Dataset (NLCD 1992) . In 1999, a second-generation MRLC consortium (see logos) was formed to purchase three dates of Landsat 7 imagery for the entire United States ( MRLC 2001 ) and to coordinate the production of a comprehensive land cover database for the nation called the National Land Cover Database (NLCD 2001) . Website provides access to land cover data.


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