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16 results for “Landsat ETM”

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edi44/100

MCR LTER: Reference: Satellite Remote Sensing: Landsat ETM from 2001 to 2010

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data collected between 2001 and 2010 over the island of Moorea and Tahiti. These are reference data, from the USGS EROS archive, not data generated by MCR LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat ETM+ scene 20010429-LE70540722001119EDC00, LPGS_11.2.1, USGS, Sioux Falls, 04/29/2001.

openCustomFeb 2012View details →
edi36/100

Land cover classification using Landsat Enhanced Thematic Mapper (ETM) data - year 2000

This land cover classification map was created using Landsat Enhanced Thematic Mapper (ETM) data from the year 2000. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.

openOpenJan 2020View details →
edi36/100

Land cover classification of central Arizona-Phoenix using Landsat Enhanced Thematic Mapper (ETM) data, year 2005

A fundamental dataset required for ecosystem analysis consists of the major types of land cover present in the study area and their areal percentages. Land cover refers to the physical nature of the surficial materials present in a given area such as water, grass, clay-rich soil, asphalt, or concrete. Land cover classification can be used as input into a variety of ecological models, and land cover maps can be constructed to aid in planning field sampling strategy. The land cover types can also be linked to different land use categories to investigate temporal and spatial changes in the urban ecosystem.

openOpenOct 2007View details →
edi32/100

Soil Adjusted Vegetation Index (SAVI) image of 2000 Landsat Enhanced Thematic Mapper (ETM) image

Soil Adjusted Vegetation Index (SAVI) produced from the 2000 Enhanced Landsat Thematic Mapper(ETM) image. SAVI is a means of monitoring density and vigour of green vegetation growth using the spectral reflectivity of solar radiation. It is computed as follows:( (NIR-RED) / (NIR+RED+L))*(1+L), where NIR (Near Infra-Red) is the ETM band 4 (0.76-0.9 micrometers), RED is band 3 (0.78-0.82 micrometers), and L is the correction factor whose values range from 0 (high vegetation cover) to 1 (low vegetation). L=0.5 was used. The index has been designed to correct for high soil reflectance in arid regions.

openOpenJan 2020View details →
nasa28/100

LBA-ECO LC-09 Landsat TM and ETM+ Data, Sites in Rondonia and Para, Brazil: 1985-2004

This data set includes 15 zipped archives of rectified .tif format Landsat 5 TM and Landsat 7 ETM+ scenes from near the study sites of Altamira, Santarem, Ponta de Pedras, and Bragantina in the state of Para, Brazil and Machadinho D'Oeste in Rondonia, Brazil. Dates represent the most cloud-free image retrievals from 1985-2004 and are therefore not continuous. These images may be useful to evaluate potential environmental impacts resulting from the establishment of colonization projects in the Amazon.

restrictednotspecifiedApr 2025View details →
nasa28/100

LBA-ECO LC-01 Landsat MSS, TM, ETM+ Imagery, Northern Ecuadorian Amazon: 1973-2002

This data set contains a time series of early Landsat-4 MSS satellite imagery as well as Landsat-5 TM and Landsat-7 ETM+ satellite imagery of the northern Ecuadorian Amazon. Some of the TM and ETM images have been georectified to UTM Zone 18 South, WGS84 Datum. Not all of the images have been georectified.

restrictednotspecifiedApr 2025View details →
nasa28/100

LBA-ECO LC-10 Orthorectified Landsat ETM+ Data for Legal Amazon: 1999-2001

This data set includes orthorectified Landsat ETM+ scenes across the Legal Amazon region. At least one scene is provided for each spatial tile, representing the most cloud-free retrievals from mid-1999 through late 2001 (Fig. 1). Dates are therefore not continuous but include scenes from July 8, 1999 to November 13, 2001. Data have been atmospherically corrected and orthorectified. The individual images should be highly useful as they include very little cloud cover, but they should not be mosaicked together since retrieval dates vary.Data files (and format) included for each scene are: six multispectral bands (tif), two thermal bands (tif), one panchromatic band (tif), two preview files (jpg), and one metadata file (txt). The individual Geotiff files have been g-zipped and subsequently all of the files for a scene have been g-zipped together for ordering convenience.

restrictednotspecifiedApr 2025View details →
nasa28/100

LBA-ECO LC-24 Landsat ETM+ Forest Cover Classification, Uruara, Para, Brazil: 1999

This data set contains a 1999 Landsat ETM+ mosaic image land of cover classification showing forested and deforestation areas in Uruara, Para, Brazil. This image may be overlain with the cadastral property map of the same area (see related data set LBA-ECO LC-24 Cadastral Property Map of Uruara, Para, Brazil: ca.1975). This data sets contains a single geotiff image distributed as deforested_large.zip.

restrictednotspecifiedApr 2025View details →
nasa28/100

LBA-ECO LC-24 Landsat TM and ETM+ Land Cover, Southern Para, Brazil: 1984-2003

This data set is a five-class land cover for Southern Para for the years 1984 (Landsat MSS), 1988 (Landsat TM), 1996, and 2003 (Landsat ETM+). The final classification shows five classes derived using visual comparison (Water, Clouds/Shadow, Forest, Not Forest, Background). These data were used in 2007 to illustrate the nature of deforestation in Southern Para, Brazil over the past twenty years (Simmons et al. 2007). There are four annual GeoTIFF files distributed with this data set. Each GeoTIFF file and accompanying *.tfw file have been compressed into a single *.zip file.

restrictednotspecifiedApr 2025View details →
nasa28/100

LBA-ECO LC-35 Landsat ETM+ Derived Active Fire Masks, Brazilian Amazon: 2001-2003

This data set provides active fire detection images and associated summary information derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images for various locations in Brazilian Amazonia during 2001-2003. There are two image types: (1) GeoTiff images (masks) of active fire pixels, and (2) GeoTiff images (masks) of clustered active fire pixels where a distinct cluster identification number has been assigned to each individual group of contiguous active fire pixels. There are 122 GeoTiff format files of each type of fire mask; a total of 244 images. The spatial resolution of the fire mask images is 30 meters. ETM+ images were selected based on data quality, availability, as well as on the occurrence of vegetation fires.In addition to the two image types, there are also two types of fire pixel summary information provided in text files: (1) one file of active fire pixel summary information derived from the active fire pixel images, and (2) 122 files of clustered active fire pixel information derived from individual clustered fire pixel masks, each of which correspond to a clustered image.

restrictednotspecifiedApr 2025View details →
nasa24/100

SMEX04 Landsat TM/ETM+ NDVI and NDWI, Sonora, Version 1

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data for use in studying land cover features during the Soil Moisture Experiment 2004 (SMEX04).

restrictednotspecifiedApr 2025View details →
nasa24/100

AMSRIce03 Landsat-7 ETM+ Imagery, Version 1

This data set contains Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery of the Bering Sea and Chukchi Sea areas to complement the joint in situ and aircraft Advanced Microwave Scanning Radiometer Sea Ice Product Validation (AMSRIce03) campaign.

restrictednotspecifiedApr 2025View details →
nasa24/100

SMEX04 Landsat TM/ETM+ NDVI and NDWI, Arizona, Version 1

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data for use in studying land cover features during the Soil Moisture Experiment 2004 (SMEX04).

restrictednotspecifiedApr 2025View details →
nasa20/100

LANDSAT SURFACE REFLECTANCE -L7 ETM+

Landsat satellite data have been produced, archived, and distributed by the U.S. Geological Survey (USGS) since 1972. Users rely on these data for historical study of land surface change but shoulder the burden of post-production processing to create applications-ready data sets.

restrictednotspecifiedMar 2025View details →
nasa20/100

Landsat 7 ETM+ Systematically Corrected (1999-May 2003)

The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. The Landsat archive provides a rich collection of information about the Earth's land surface. Major characteristics of changes to the surface of the planet can be detected, measured, and analyzed using Landsat data. The information obtainable from the historical and current Landsat data play a key role in studying surface changes through time.

restrictednotspecifiedMar 2025View details →
nasa20/100

Landsat 7 ETM+ SLC-off (2003-present)

The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge.

restrictednotspecifiedMar 2025View details →

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