This dataset contains Landsat 3 Return Beam Vidicon (RBV) products, acquired by ESA by the Fucino ground station over its visibility mask. The data (673 scenes) are the result of the digitalization of the original 70 millimetre (mm) black and white film rolls. The RBV instrument was mounted on board the Landsat 1 to 3 satellites between 1972 and 1983, with 80 meter resolution. Three independent co-aligned television cameras, one for each spectral band (band 1: blue-green, band 2: yellow-red, band 3: NIR), constituted this instrument. The RBV system was redesigned for Landsat 3 to use two cameras operating in one broad spectral band (green to near-infrared; 0.505–0.750 µm), mounted side-by-side, with panchromatic spectral response and higher spatial resolution than on Landsat-1 and Landsat-2. Each of the cameras produced a swath of about 90 km (for a total swath of 180 km), with a spatial resolution of 40 m.

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• Landsat_RBV

ESA Short Name: Landsat_RBV Version ID: 9.0 Unique ID: C3325393983-ESA

The Return Beam Vidicon Camera (RBV) is an imaging system which operates in a single spectral range of 0.505 - 0.750 micrometers with 25 meter resolution. Data collected by the Earth Observation Center, NASDA, cover a circular area about 5000 km diameter. The Earth Observation Center receives RBV data weekdays and every other Saturday. However, there is no processing line for RBV data; archived products are available in the form of magnetic tape and imagery.

• LANDSAT-RBV-NASDA

SCIOPS Short Name: LANDSAT-RBV-NASDA Version ID: Not provided Unique ID: C1214584332-SCIOPS

The Brazilian receiving station for Landsat data is located in Cuiaba, state of Mato Grosso, Midwest region: 56 degrees 5 minutes 30 seconds West longitude, and 15 degrees 32 minutes 30 seconds South latitude. The Cuiaba station started to operate in May 1973. MSS data were acquired on a routine basis over Brazil and by special request over the other countries. RBV images were acquired during the Landsat 3 years. Thematic mapper data have been recorded over Brazil since February 1984. By October 1987, the Cuiaba station stopped recording MSS data and began to acquire Thematic Mapper images on routine fashion over the whole range of the antenna. MSS products are for while available just through the reproduction of existing photographic originals (about 150.000 B/W and color images). A new processing system was designed and began running digital frames in October 1995. Thematic Mapper images are available and can be ordered both in print and digital formats.

• LSATUSERV

CEOS_EXTRA Short Name: LSATUSERV Version ID: Not provided Unique ID: C2227456155-CEOS_EXTRA

This dataset was used for the purpose of estimating the change in vegetation amount over time in Wyoming. Dataset: North American Landscape Characterization Landsat Multi Spectral Scanner (MSS) Triplicates. Complete coverage for Wyoming, 15 scenes. MSS has 79 m by 79m instantaneous field of view, data were resampled to 60m by 60m, and geometrically corrected to a UTM projection 1:100,000 map scale. The aerial extent of each scene is 185 km swath by 170 km along-track; however, orbit differences between Landsats 1, 2 and 3 and Landsats 4 and 5 reduce the size of each scene. Also available as a dataset is change of NDVI (see below). Images and change in NDVI are in georeferenced TIFF format. Changes corrected for precipitation variability will be available in the future. What the dataset was used for: to estimate the change in vegetation amount over time in Wyoming. We used three Landsat Multi Spectral Scanner (MSS) images, one from the early-to-mid 1970s, one from the mid 1980s, and one from the early 1990s. Vegetation amount is determined from the Normalized Difference Vegetation Index, defined as (Band 4 - Band 2)/(Band 4 + Band 2), where Band 4 covers near-infrared (NIR) wavelengths from 0.8 to 1.1 Fm and Band 2 covers red wavelengths from 0.6 to 0.7 Fm. NDVI saturates with one-sided leaf area indices (LAI) of 4 and higher; however, this is not a problem for Wyoming grasslands and shrublands have low LAI. NDVI varies from -1 to 1, and are converted into digital numbers (DN) by: 100 (NDVI+1), so the DN varies from 0 to 200. Change detection is estimated as the NDVI(1990) - 0.5[NDVI(1980) - NDVI(1970)] for each image, except for areas covered with snow, clouds, and shadows caused by clouds. If two dates were available for these areas, we subtracted the NDVI of the earlier date from the NDVI of the later date. The dates of acquisition were usually collected towards the end of the growing season, and usually during years of drought (for example: 1992, 1985, 1972). We have developed an algorithm using the Advanced Very High Resolution Radiometer (AVHRR) data from the EROS Data Center to adjust NDVIs to average precipitation amounts, but these corrections were not applied to this dataset.

• WYGISC_MSS

SCIOPS Short Name: WYGISC_MSS Version ID: Not provided Unique ID: C1214614381-SCIOPS

The NASA Landsat Data Collection (NLDC) is a compilation of Landsat multispectral scanner (MSS) scenes and Landsat thematic mapper (TM) scenes. This compilation of scenes represents data collections from four distinct projects including: (1) the Global Change Landsat Data Collection (GCLDC);(2) the Humid Tropical Forest Project (HTFP) collection of source scenes and products; (3) a collection of data from the Committee on Environment and Natural Resources Research [formerly the Committee on Earth and Environmental Sciences (CEES)] that is historically referred to as the CEES collection; and (4) ongoing Landsat data purchases by NASA-funded investigators, starting with the 1996 fiscal year. The NLDC scenes have been screened for cloud cover and band quality resulting in a high grade,high quality data compilation. The GCLDC collection contains Landsat TM scenes that were purchased by NASA from Space Imaging, formerly the Earth Observation Satellite Company,under a special agreement to promote the use of shared data in global change research. The HTFP, the largest component of NASA's Landsat Pathfinder Program, contains Landsat MSS and TM scenes collected over the past 20 years. The goal of the HTFP is to globally map deforestation in the humid tropical forests. The CEES collection is the result of an effort to coordinate data needs among several Federal agencies (e.g.,Environmental Protection Agency, Department of the Interior agencies, National Oceanic and Atmospheric Administration, Department of Defense). These Landsat TM scenes were collected for a variety of research projects. Ongoing NASA purchases of Landsat TM data support NASA scientists and their affiliated researchers in programs and projects including the NASA Research and Analysis Program; the Global Land Cover Test Sites Project; the HTFP, the International Biosphere-Geosphere Programme, the NASA Applications Program; and the Landsat-7 Science Team.

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• NLDC

USGS_LTA Short Name: NLDC Version ID: Not provided Unique ID: C1220566355-USGS_LTA