The Nang Rong Project maintains a vast collection of geospatial data.  The database consists of products ranging from vector and raster GIS layers, to high resolution satellite imagery and aerial photography.  The vector data consists of point, line, and polygon vector layers, such as dwelling unit locations, rivers, and reservoirs, while the raster GIS is comprised of cell-based layers, such as a digital elevation model (DEM).  The set of raster data is composed of Landsat satellite imagery, aircraft collected air photos, and high resolution IKONOS satellite imagery. 

Vector Data
       Much of the vector data within the Nang Rong database were digitized from 1:50,000 scale Thai Military maps, as well as other government issued maps.  From these products, transportation, hydrography, administrative and political boundaries, point elevations, contour lines,  soils, and geology were digitized, stored as both Arc/INFO coverages and ArcView shapefiles.  Additional vector layers, such as national administrative and political boundaries, were digitized from smaller scale, 1:250,000, government maps.  Harcopy cadastral  maps, depicting the location and limited attributes about land parcels, were also incorporated into database through digitization.  Since digitizing is highly labor and time intensive, data already in a digital format was sought whenever possible.
         Vector data within the database was also gathered through use of global positioning systems (GPS).  A variety of coverages were generated from GPS collected points, including Land Use/Land Cover (LULC) points, village centroids, dwelling units, and geodetic control throughout the region.

Raster Data
       The raster data holdings of the Nang Rong Project are of two major types: images and non-images.  The former is comprised of a time series of satellite imagery from various sensors, as well as a vast collection of aerial photography, while the latter is of two major types: land use/land cover (LULC) classifications, and terrain/topographic layers.  The time series of Landsat imagery stretches back to the early 1970s, with several Multispectral Scanner (MSS) collected images, through the 1980s and 1990s, during the era of Thematic Mapper (TM), and up to the present, where Enhanced Thematic Mapper (ETM) is the primary sensor.   An excellent regional perspective is afforded by these images, with the eastern United States county sized Nang Rong falling easily within a Landsat footprint.  For portions of Bangkok, high spatial resolution IKONOS imagery provides a much more detailed view of the city.  Aerial photography provides a much finer scale view of the study site, for a much deeper temporal period, dating back the 1950s.  While the spatial resolution of the photographs is excellent, they are limited in scope owing to their lack of multispectral information.
       The non-image raster data is comprised mostly of the LULC classifications, which totals 37 data layers.  In addition to the satellite image derived classifications, the other raster datasets deal with the terrain and topography of the landscape.  Included in the terrain/topography data are the digital elevation models (DEMs), at both 30 and 90 meter resolution.  Additionally, there are a host of products derived from the 30 meter DEM, such as topographic moisture index, aspect, slope, flow direction, and landforms.