NOTICE -- The LBA-ECO Project website is no longer being supported.  This archive is a snapshot, as it existed in 2013, of the LBA-ECO website, maintained by NASA Goddard Space Flight Center, and now archived at the ORNL DAAC.  Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC.
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Investigation:

LC-10 (Skole / Pedlowski)

LBA Dataset ID:

LC10_Forest_Cover_Maps

Originator(s):

1. Chapman, Bruce
2. Dutra, Luciano Vieira
3. Baker, John
4. Guritz, Rick M.
5. Melack, John M.
      6. Nelson, Bruce Walker
7. Rosenqvist, Ake
8. Saatchi, Sassan Sepehri
9. Shimada, Masanobu

Point(s) of Contact:

Skole, David L. ( skole@pilot.msu.edu )

Dataset Abstract:

This data set consists of forest cover maps derived from Landsat satellites for the legal Amazon rain forest. The maps can be downloaded in .PDF or .EMF format from the Tropical Rain Forest Information Center (TRFIC) web site (http://www.trfic.msu.edu). The maps are available for each legal Amazon region for each year 1975, 1986, and 1992. Also available are legal Amazon vegetation and transition ecosystem classes, mean carbon per vegetation type, and major classification types. All the maps range from 30 x 20 to 38 x 30 and can be printed at 8.5 x 11in. Temporal Coverage: Start: 1975-01-01 Stop: 1975-12-31 Temporal Coverage: Start: 1986-01-01 Stop: 1986-12-31 Temporal Coverage: Start: 1992-01-01 Stop: 1992-12-31 Spatial Coverage: West : -75.0 East : -40.0 North : 4.0 South : -2.0

Beginning Date:

1975-01-01

Ending Date:

1992-12-31

Metadata Last Updated on:

2012-10-05

Data Status:

Archived at LBA-DIS Only

Access Constraints:

Public

Data Center URL:

Distribution Contact(s):

LBA-DIS User Services (lba-dis@cptec.inpe.br)

Access Instructions:

Public

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Datafile(s):

Amazon Data Maps:  http://www.trfic.msu.edu/products/amazon_products/amazonmaps.html

Documentation/Other Supporting Documents:

Data Set User's Guide:  Search at ORNL DAAC

Citation Information - Other Details:

Tropical Rain Forest Information Center, Global Observatory for Ecosystem Services, Michigan State University (http://www.goes.msu.edu & http://www.trfic.msu.edu). 2006. LBA-ECO LC-10 Forest Cover Maps for the Legal Amazon. Data set. Available on-line [http://lba.cptec.inpe.br/] from LBA Data and Information System, National Institute for Space Research (INPE/CPTEC), Cachoeira Paulista, Sao Paulo, Brazil.

Keywords - Theme:

Parameter Topic Term Source Sensor
FORESTS BIOSPHERE TERRESTRIAL ECOSYSTEMS LANDSAT (LAND REMOTE-SENSING SATELLITE) MAPS
CARBON BIOSPHERE VEGETATION LANDSAT (LAND REMOTE-SENSING SATELLITE) MAPS
VEGETATION COVER BIOSPHERE VEGETATION LANDSAT (LAND REMOTE-SENSING SATELLITE) MAPS
LAND USE CLASSES HUMAN DIMENSIONS LAND USE/LAND COVER LANDSAT (LAND REMOTE-SENSING SATELLITE) MAPS
LAND USE CLASSES LAND SURFACE LAND USE/LAND COVER LANDSAT (LAND REMOTE-SENSING SATELLITE) MAPS
LAND COVER LAND SURFACE LAND USE/LAND COVER LANDSAT (LAND REMOTE-SENSING SATELLITE) MAPS

Uncontrolled Theme Keyword(s):  ACRE, AMAPA, AMAZONAS, LBA, LEGAL AMAZON, MAPS, MARANHAO, MATO GROSSO, PARA, RONDONIA, RORAIMA, TOCANTINS, TRFIC, TROPICAL RAIN FOREST

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Legal Amazon Legal Amazon 4.00000 -2.00000 -40.00000 -75.00000

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

The maps are available for each legal Amazon region for each year 1975, 1986, and 1992. Also available are legal Amazon vegetation and transition ecosystem classes, mean carbon per vegetation type, and major classification types. All the maps range from 30 x 20 to 38 x 30 and can be printed at 8.5 x 11in.

Data Application and Derivation:

The approach to Pathfinder is straightforward. The first step is the identification and acquisition of a pan tropical, wall-to-wall LANDSAT digital data set from the EROS Data Center archives and the archives of the foreign ground receiving stations with coverage of the study areas. A three-date data set has been selected based on data availability. The three dates, or epochs, being used are early 1970s (i.e., 1972-1974), mid-1980s (i.e., 1984-1986), and early 1990s (i.e., 1989-1994). The exception to this plan is the use of 1978 data for the Amazon. This parsing of data analysis over three year epochs allows a much wider selection of low-cloud data from the archives. LANDSAT MSS data is used for the two earliest epochs. The last epoch uses LANDSAT TM data. MSS was the only sensor in the 1970s and the most commonly ordered and archived in the mid-1980s. Once acquired, the digital data are analyzed to create a science product data set: a digital map database, in a geographic information system, of the rate and extent of deforestation. The development of a project Information Management System (IMS) is an essential element of the project and in keeping with the overall goals of the NASA Pathfinder Program. The IMS has three functions:

Data query and archive metadata retrieval;

Data management and lineage tracking for the project; and

Archive management and data dissemination.



The IMS demonstrates a prototype science facility information system for EOSDIS. It is being developed from the science-defined requirements specified by the project.

The Pathfinder project uses ARC/INFO, a vector-based GIS, for spatial data analysis and for IMS development. The entire data set and all analyses can either be referenced by geographic location, or a tiling system based on the LANDSAT World Reference System (WRS) path/row footprint. The WRS tile system provides an organized foundation for data acquisition, cataloging, processing and overall data management. The GIS permits resorting, grouping, or subsetting across the tile system or any other map projection; thus it greatly enhances our flexibility in analyses of the data.



From the derived data set, several science end-uses can be envisioned. Some, such as carbon emissions, are derived directly from the product data set when it is used in conjunction with numerical models. Others, such as wetlands and hydrography mapping, can be derived from the original Landsat image data using different methodologies. This data set can also be useful for making timber inventories, as well as resource and environmental planning, management and assessment. There are many other users in wide-ranging disciplines such as the social sciences, that can apply these data to a myriad of uses once they are widely distributed.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

To obtain an estimate of the accuracy of the data set, Pathfinder has developed a field-based accuracy assessment program. The objectives are to quantify the thematic and aerial variance. We do this at three levels of analysis. First, we confer with experts in each region, gaining insights from their extensive knowledge of local conditions. To facilitate a close working relationship with experts in regions which we are studying, we have a visiting scientists program which provides support to colleagues from tropical countries to spend time in residence at Michigan State University. Visiting scientists spend anywhere from two to twelve months in residence. Second, we conduct preliminary and cursory field excursions to various areas, where we get a good on-the-ground sense of conditions and establish initial classification rules and procedures. Third, we conduct systematic field validation exercises, where points in the field are selected and measurements are made using a Global Positioning System. The results of these field exercises are used to develop a statistical accuracy assessment using standard methods of presentation in contingency tables.

Process Description:

Data Acquisition Materials and Methods:

The EROS Data Center (EDC) provides data processing support to the Pathfinder. EDC also provides technical support and data brokerage services for foreign acquisitions. The new, low-cost MSS data archive at the EROS Data Center is tapped to acquire digital MSS data whenever possible. In addition, data from the ground stations in Thailand, Indonesia, Australia, Brazil, Ecuador, Gabon, Kenya, and South Africa are also used when EDC archive coverage is poor. A program of new acquisitions for the time period of the early 1990s has been developed. TM data are currently being obtained from the NASA / EOSAT data grant and the NASA Global Change TM data set, as well as through collaborative efforts with other agencies such as the EPA and the World Bank.

Digital data selected from the national or foreign archives and from new acquisitions are sent to EDC for specially designed Pathfinder preprocessing. This includes conversion to a common format (CCT-P) from other formats (e.g., CCT-X, CCT-A, and others) as well as the addition of map coordinates. Each scene is registered to a Universal Transverse Mercator (UTM) map projection using satellite navigation data (including only system corrections), and the digital image imbedded with coordinate information as UTM-labelled tic marks. These data are archived at EDC and distributed to the project implementation teams at Michigan State Univeristy and University of Maryland on 8mm tape cartridges. A 1:250,000 scale photographic 3-band color composite print and a 1:1,000,000 color transparency are also produced and distributed.



LANDSAT digital data acquired for this project represent a distillation and high-grading of the best available scenes for the regions of interest for the three time periods. Most scenes have no more than 20% cloud cover. Without the highly collaborative nature of this project, such a valuable data set may never have been assembled in a single archive.

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