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LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 1994-01-20

General Information
Data Package:
Local Identifier:lter-landsat-ledaps.98.1
Title:LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 1994-01-20
Abstract:

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 1994-01-20 (18:17:42.7530560Z) by Landsat 5, row 29, path 46. Cloud cover was 40 percent.

The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record.

NASA Landsat Program, 2009, Landsat TM LT50460291994020XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-19T04:08:28Z.

Publication Date:2013
Language:english

Time Period
Date:
1994-01-20  at  18:17:42.7530560Z

People and Organizations
Contact:Information Manager (LTER Network Office) [  email ]
Contact:Valentine, Theresa  
Organization:United States Geological Survey
Organization:AND LTER Andrews Forest LTER

Data Entities
Other Name:
LT50460291994020XXX01.tar.gz
Description:
TAR/GZIP compressed archive
Detailed Metadata

Data Entities

Non-Categorized Data Resource

Name:LT50460291994020XXX01.tar.gz
Entity Type:Compressed Archive
Description:TAR/GZIP compressed archive
Physical Structure Description:
Object Name:LT50460291994020XXX01.tar.gz
Size:343797481 byte
Externally Defined Format:
Format Name:tar/gzip
Data:https://pasta-d.lternet.edu/package/data/eml/lter-landsat-ledaps/98/1/11ab3e43a16bbfeb10cc600c88007afd

Data Package Usage Rights

Landsat data are free to all. Effectively the intellectual property rights are held by the USGS EROS and NASA, but ultimately held by the US public.

The Long Term Ecological Research Network provides these data in our catalog as reference data for use with other data from Andrews Forest LTER.

LTER Network Data Access Requirements

The access to all LTER data is subject to requirements set forth by this policy document to enable data providers to track usage, evaluate its impact in the community, and confirm users' acceptance of the terms of acceptable use. These requirements are standardized across the LTER Network to provide contractual exchange of data between Site Data Providers, Network Data Providers, and Data Users that can be encoded into electronic form and exchanged between computers. This will allow direct access to data via a common portal once these requirements have been fulfilled. The following information may be required directly or by proxy prior to the transference of any data object:

  • Registration
    • Name
    • Affiliation
    • Email address
    • Full Contact Info
  • Acceptance of the General Public Use Agreement or Restricted Data Use Agreement, as applicable
  • A Statement of Intended Use that is compliant with the above agreements. Such statements may be made submitted explicitly or made implicitly via the data access portal interface.

Conditions of Data Use

The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. Permission to use this dataset is granted to the Data User free of charge subject to the following terms:

  • Acceptable Use. Use of the dataset will be restricted to academic, research, educational, government, recreational, or other not-for-profit professional purposes. The Data User is permitted to produce and distribute derived works from this dataset provided that they are released under the same license terms as those accompanying this Data Set. Any other uses for the Data Set or its derived products will require explicit permission from the dataset owner.
  • Redistribution. The data are provided for use by the Data User. The metadata and this license must accompany all copies made and be available to all users of this Data Set. The Data User will not redistribute the original Data Set beyond this collaboration sphere.
  • Citation. It is considered a matter of professional ethics to acknowledge the work of other scientists. Thus, the Data User will properly cite the Data Set in any publications or in the metadata of any derived data products that were produced using the Data Set. Citation should take the following general form: Creator, Year of Data Publication, Title of Dataset, Publisher, Dataset identifier.
  • Acknowledgement. The Data User should acknowledge any institutional support or specific funding awards referenced in the metadata accompanying this dataset in any publications where the Data Set contributed significantly to its content. Acknowledgements should identify the supporting party, the party that received the support, and any identifying information such as grant numbers.
  • Notification. The Data User will notify the Data Set Contact when any derivative work or publication based on or derived from the Data Set is distributed. The Data User will provide the data contact with two reprints of any publications resulting from use of the Data Set and will provide copies, or on-line access to, any derived digital products. Notification will include an explanation of how the Data Set was used to produce the derived work.
  • Collaboration. The Data Set has been released in the spirit of open scientific collaboration. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.
By accepting this Data Set, the Data User agrees to abide by the terms of this agreement. The Data Owner shall have the right to terminate this agreement immediately by written notice upon the Data User's breach of, or non-compliance with, any of its terms. The Data User may be held responsible for any misuse that is caused or encouraged by the Data User's failure to abide by the terms of this agreement.

Disclaimer

While substantial efforts are made to ensure the accuracy of data and documentation contained in this Data Set, complete accuracy of data and metadata cannot be guaranteed. All data and metadata are made available "as is". The Data User holds all parties involved in the production or distribution of the Data Set harmless for damages resulting from its use or interpretation.

Keywords

By Thesaurus:
(No thesaurus)Andrews Forest LTER, AND LTER, Long Term Ecological Research Program, Landsat ETM, Landsat Enhanced Thematic Mapper, NASA, USGS, remote sensing, satellite data, imagery, earth observation, LEDAPS, Landsat Ecosystem Disturbance Adaptive Processing System, top-of-atmosphere reflectance

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

About this Data Package

This data package contains a compressed archive (tar/gzip) of LEDAPS corrected Landsat 4 and 5 Thematic Mapper images representing 26 Long Term Ecological Research (LTER) sites, and which had cloud cover less than or equal to 50%. The original Landsat data were downloaded from http://earthexplorer.usgs.gov. These data are Landsat image band files that have been corrected using the Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) Algorithm and are stored in HDF format.

The Landsat standard data products used in this dataset were processed using the Level 1 Product Generation System (LPGS) with the following parameters applied:

  • GeoTIFF output format
  • Cubic Convolution (CC) resampling method
  • 30-meter (TM, ETM+) and 60-meter (MSS) pixel size (reflective bands)
  • Universal Transverse Mercator (UTM) map projection (Polar Stereographic projection for Antarctica)
  • World Geodetic System (WGS) 84 datum
  • MAP (North-up) image orientation

Description:

About the Landsat Thematic Mapper

"The Thematic Mapper (TM) is an advanced, multispectral scanning, Earth resources sensor designed to achieve higher image resolution, sharper spectral separation, improved geometric fidelity and greater radiometric accuracy and resolution than the MSS sensor. TM data are sensed in seven spectral bands simultaneously. Band 6 senses thermal (heat) infrared radiation. Landsat can only acquire night scenes in band 6. A TM scene has an Instantaneous Field Of View (IFOV) of 30 square meters in bands 1-5 and 7 while band 6 has an IFOV of 120 square meters on the ground." from http://landsat.gsfc.nasa.gov/about/tm.html accessed 2012-01-30

See also the README.txt file listed as other entity.

Protocol:
Title: The Landsat Thematic Mapper Satellite
Url:http://landsat.gsfc.nasa.gov/about/tm.html
Description:

TM Technical Specifications

(From http://landsat.gsfc.nasa.gov/about/tm.html)

  • Sensor type: opto-mechanical
  • Spatial Resolution: 30 m (120 m - thermal)
  • Spectral Range: 0.45 - 12.5 µm
  • Number of Bands: 7
  • Temporal Resolution: 16 days
  • Image Size: 185 km X 172 km
  • Swath: 185 km
  • Programmable: yes

Description:

Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS)

The atmospherically corrected Landsat-5 data builds on previously work compiling a complete record of Landsat-5 scenes for LTER sites with less than 10% cloud cover. These images were converted to surface reflectance using the Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS http://code.google.com/p/ledaps/). The LEDAPS process convert Landsat data from digital numbers (DN) to corrected surface reflectance.

The LEDAPS project is hosted by the US Geological Survey (USGS) Earth Resources Observation and Science (EROS) Land Satellite Data Systems (LSDS) Science Research and Development (LSRD) Project.

Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) processes Landsat data from Level 1B (L1B) to surface reflectance using atmospheric correction routines similar to that developed for the MODIS instrument. This package includes three basic modules (plus a parameter parser and an internal cloud detection program) to convert Landsat data from digital numbers (DN) to surface reflectance. The three steps include:

  1. Calibrate digital number (DN) to top-of-atmosphere (TOA) reflectance.
  2. Correct to surface reflectance from TOA reflectance and ancillary data sets.
  3. Detect cloud pixels based on the surface reflectance.

The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration-Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. The complete description is published as a PDF file and this report discusses the LEDAPS algorithm implemented by the USGS.

After conversion,each scene is packaged in a compressed tar file (*.tar.gz), which includes:surface reflectance (lndsr.*.hdf), top of atmosphere (TOA) reflectance (lndcal.*.hdf), and thermal brightness temperature (lndth.*.hdf). The data is organized by LTER site in the same manner as the original source data.

Contributors on this project include LTER scientists Tom Spies (PI), Zhiqiang Yang and Peder Nelson(programming and technical support), Theresa Valentine (logistics and coordination with LNO), Margaret O'Brien (EML support), Kyle Cavanaugh (technical advice), and LNO staff (John Vande Castle, Mark Servilla, and Duane Costa) for technical advice, EML generation, and PASTA integration.

Protocol:
Title: Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) Algorithm Description
Url:http://pubs.usgs.gov/of/2013/1057/
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 1994-01-20

People and Organizations

Publishers:
Organization:LTER Network Office
Address:
UNM Biology Department, MSC03-2020,
1 University of New Mexico,
Albuquerque, NM 87131-0001 USA
Phone:
505 277 2535 (voice)
Phone:
505 277 2541 (fax)
Email Address:
tech-support@lternet.edu
Web Address:
http://www.lternet.edu
Creators:
Organization:United States Geological Survey
Address:
NASA Landsat Program,
USGS,
Earth Resources Observation and Science (EROS) Center,
47914 252nd Street,
Sioux Falls, South Dakota 57198-0001 U.S.A.
Organization:AND LTER
Organization:Andrews Forest LTER
Contacts:
Position:Information Manager
Organization:LTER Network Office
Address:
UNM Biology Department, MSC03-2020,
1 University of New Mexico,
Albuquerque, NM 87131-0001 USA
Phone:
505 277-2535 (voice)
Phone:
505 277-2541 (fax)
Email Address:
tech-support@lternet.edu
Web Address:
http://www.lternet.edu
Individual: Theresa Valentine
Metadata Providers:
Organization:United States Geological Survey
Address:
NASA Landsat Program,
USGS,
Earth Resources Observation and Science (EROS) Center,
47914 252nd Street,
Sioux Falls, South Dakota 57198-0001 U.S.A.
Organization:LTER Network Office
Address:
UNM Biology Department, MSC03-2020,
1 University of New Mexico,
Albuquerque, NM 87131-0001 USA
Phone:
505 277 2535 (voice)
Phone:
505 277 2541 (fax)
Email Address:
tech-support@lternet.edu
Web Address:
http://www.lternet.edu

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Date:
1994-01-20  at  18:17:42.7530560Z
Geographic Region:
Description:Covering the Andrews Forest LTER site
Bounding Coordinates:
Northern:  45.5855999Southern:  43.6201998
Western:  -124.4293374Eastern:  -121.3681974

Project

Maintenance

Maintenance:
Description:

These data were retrieved from the USGS archive.

Frequency:notPlanned
Other Metadata

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