The Global Land Survey (GLS) data sets were created as a collaboration between NASA and the USGS from 2009 through 2011. GLS datasets allowed scientists and data users to have access to a consistent, terrain corrected, coordinated collection of data.
Each of these collections were created using the primary Landsat sensor in use at the time for each collection epoch:
- GLS1975: Landsat 1-3 Multispectral Scanner (MSS), 1972-1983, (Landsat 4-5 MSS scenes from 1982-1987 were used to fill data gaps)
- GLS1990: Landsat 4-5 Thematic Mapper (TM), 1987-1997
- GLS2000: Landsat 7 Enhanced Thematic Mapper Plus (ETM+), 1999-2003
- GLS2005: Landsat 7 ETM+ and Landsat 5 TM, 2003-2008
GLS2010: uses a combination of Landsat 7 ETM+ and Landsat 5 TM, 2008-2012
The Landsat data incorporated into each GLS data set meets quality and cloud cover standards, and is processed to the following parameters:
- Data Resolution (Reflective bands): 30 meters (Landsat MSS: 60 meters)
- Data Format: GeoTIFF (Level-1 product), Full-resolution .jpg (LandsatLook images)
- Resampling: Cubic Convolution
- Projection: Universal Transverse Mercator (UTM)
The accuracy of the GLS2000 dataset is less than one pixel (25-meter root mean square error (RMSE) on a per image basis). This means that the image is accurate to 30 meters or less.
In this publication, USGS EROS scientists used image-to-image and triangulation block adjustment methodologies to compare higher resolution control data, as well as systematically processed Landsat 7 data, to compare against the GLS2000 dataset.
The GLS2000 dataset is the source of the Landsat ground control library. Ground Control Points (GCP) contained in the library are used to correct all Landsat images that are processed to standard terrain correction.
The Global Land Survey data sets are scene-based, and can be searched and downloaded at no charge from EarthExplorer or GloVis.
Validation of geometric accuracy of Global Land Survey (GLS) 2000 data
Assessment of the NASA-USGS Global Land Survey (GLS) Datasets
Large area scene selection interface (LASSI): Methodology of selecting landsat imagery for The Global Land Survey 2005
Towards monitoring land-cover and land-use changes at a global scale: the global land survey 2005
Validation of geometric accuracy of Global Land Survey (GLS) 2000 dataThe Global Land Survey (GLS) 2000 data were generated from Geocover™ 2000 data with the aim of producing a global data set of accuracy better than 25 m Root Mean Square Error (RMSE). An assessment and validation of accuracy of GLS 2000 data set, and its co-registration with Geocover™ 2000 data set is presented here. Since the availability of global data sets that have higher nominal accuracy than
Assessment of the NASA-USGS Global Land Survey (GLS) DatasetsThe Global Land Survey (GLS) datasets are a collection of orthorectified, cloud-minimized Landsat-type satellite images, providing near complete coverage of the global land area decadally since the early 1970s. The global mosaics are centered on 1975, 1990, 2000, 2005, and 2010, and consist of data acquired from four sensors: Enhanced Thematic Mapper Plus, Thematic Mapper, Multispectral Scanner, a
Large area scene selection interface (LASSI): Methodology of selecting landsat imagery for The Global Land Survey 2005The Global Land Survey (GLS) 2005 is a cloud-free, orthorec-tified collection of Landsat imagery acquired during the 2004 to 2007 epoch intended to support global land-cover and ecological monitoring. Due to the numerous complexities in selecting imagery for the GLS2005, NASA and the U.S. Geological Survey (USGS) sponsored the development of an automated scene selection tool, the Large Area Scene
Towards monitoring land-cover and land-use changes at a global scale: the global land survey 2005Land cover is a critical component of the Earth system, infl uencing land-atmosphere interactions, greenhouse gas fl uxes, ecosystem health, and availability of food, fi ber, and energy for human populations. The recent Integrated Global Observations of Land (IGOL) report calls for the generation of maps documenting global land cover at resolutions between 10m and 30m at least every fi ve years (T