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LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001

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Revision date: June 20, 2012

Summary:

This data set includes classified land cover transition maps at 30-m resolution derived from Landsat TM, MSS, ETM+ imagery and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. The Landsat images were classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, and water) and subjected to change detection analysis to create transition matrices of land cover change. Dates of acquired images represent the most cloud-free image retrievals from 1970-2001 for each site and are therefore not continuous. There are 3 GeoTIFF files (.tif) with this data set.

Data Citation:

Cite this data set as follows:

Brondizio, E.S. and E.F. Moran. 2012. LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001. Data set. Available on-line [http:/daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://dx.doi.org/10.3334/ORNLDAAC/1098

Implementation of the LBA Data and Publication Policy by Data Users:

The LBA Data and Publication Policy [http://daac.ornl.gov/LBA/lba_data_policy.html] is in effect for a period of five (5) years from the date of archiving and should be followed by data users who have obtained LBA data sets from the ORNL DAAC. Users who download LBA data in the five years after data have been archived must contact the investigators who collected the data, per provisions 6 and 7 in the Policy.

This data set was archived in June of 2012. Users who download the data between June 2012 and July 2017 must comply with the LBA Data and Publication Policy.

Data users should use the Investigator contact information in this document to communicate with the data provider. Alternatively, the LBA website[http://lba.inpa.gov.br/lba/] in Brazil will have current contact information.

Data users should use the Data Set Citation and other applicable references provided in this document to acknowledge use of the data.

Table of Contents:

1. Data Set Overview:

Project: LBA (Large-Scale Biosphere-Atmosphere Experiment in the Amazon)

Activity: LBA-ECO

LBA Science Component: Land Use and Land Cover

Team ID: LC-09 (Moran / Batistella)

The investigators were Moran, Emilio Federico; Batistella, Mateus; Adams, Ryan Thomas; Boucek, Bruce William; Brondizio, Eduardo S.; D'Antona, Alvaro; Demming, Kristin Rooke; Fiorini, Stefano; Futemma, Celia Regina Tomiko; Hedin, Lars; Hetrick, Scott S.; Jensen, Ryan R.; Lu, Dengsheng; Ludewigs, Thomas; Mausel, Paul; McGroddy, Megan; Menzies, John Iral; Navarro, Doris Graziela; Ponzoni, Flavio Jorge; Randolph, J.C.; Schmid, Hans Peter E.; Siqueira, Andrea Dalledone; Toniolo, Maria Angelica; Valeriano, Dalton De Morisson; Valladares, Gustavo Souza; VanWey, Leah and Yu, Genong . You may contact Brondizio, Dr Eduardo S. (ebrondiz@indiana.edu)

LBA Data Set Inventory ID: LC09_Transition_Matrices

This data set includes classified land cover transition maps at 30-m resolution derived from Landsat TM, MSS, ETM+ imagery and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. The Landsat images were classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, and water) and subjected to change detection analysis to create transition matrices of land cover change. Dates of acquired images represent the most cloud-free image retrievals from 1970-2001 for each site and are therefore not continuous.

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2. Data Characteristics:

This data set includes classified land cover transition maps at 30-m resolution derived from Landsat TM, MSS, ETM+ imagery and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. The Landsat images were classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, and water). 

There are 3 GeoTIFF files (.tif) with this data set, one for each of the three study areas. The images have the projection information listed below.

Files/Land Use Classes:

s_class_altamira.tif.

ValueClass
0Unclassified
1-2Forest
3-4 Deforestation before 1970
5 Deforestation before 1975
6 Deforestation before 1976
7-8 Deforestation before 1979
9-10 Deforestation before 1985
11-12 Deforestation before 1991
13-14 Deforestation before 1996
15Forest
16 Deforestation before 1996
17-18Water

rs_class_pontadepedras.tif

ValueClass
0Unclassified
1Water
2Forest
3 Deforestation before 1991
4Bare Soil
5Secondary Succession
6Fallow Use
7Secondary Regrowth
8Savanna

rs_class_santarem.tif

ValueClass
0Unclassified
1Water
2Forest
3Deforestation before 1972
4Deforestation before 1979
5Deforestation before 1986
6Deforestation before 1991
7Deforestation before 2001
8Savanna
9Other land cover (urban, roads, bare areas, etc)

Site boundaries: (All latitude and longitude given in decimal degrees)

Site (Region) Westernmost Longitude Easternmost Longitude Northernmost Latitude Southernmost Latitude Geodetic Datum
Para Western (Santarem) - Altamira (Para Western (Santarem)) -54.00000 -51.00000  -2.50000 -4.0000 South-American Datum, 1969 (SAD-69)
Para Western (Santarem) - Santarem-Cuiaba Road (Para Western (Santarem)) -55.61 -54.288055  -2.305 -4.5591666 South-American Datum, 1969 (SAD-69)
Para Eastern (Belem) - Ponta de Pedras (Para Eastern (Belem)) -48.86000 -48.86000  -1.36000 -1.36000 South-American Datum, 1969 (SAD-69)

Time period:

Platform/Sensor/Parameters measured include:

3. Data Application and Derivation:

Data to be used in spatial analysis of land use and land cover change.

4. Quality Assessment:

Data were georeferenced to previously rectified images with low RMS error (<1.0 m).

Classifications were produced with low errors of omission/commission (at time of metadata creation, these data were unavailable).

5. Data Acquisition Materials and Methods:

Study Sites

Land cover types were identified in classified Landsat TM, MSS, ETM+ images  and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil.

Methods

Original imagery was acquired from the following:

Dates of acquired images represent the most cloud-free image retrievals from 1970-2001 and are therefore not continuous.

Bands were combined (layer-stack) and registered to UTM using ERDAS Imagine (Leica Geosystems, St. Gallen, Switzerland) (version unknown at the time of metadata creation). Images were georeferenced to previously rectified images using ERDAS Imagine. Radiometric and atmospheric corrections were done according to methods described by Green et al. (2005).

Data have been rectified and subset unless otherwise noted. Individual images were classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, and water).

These classified images were used in change detection analysis to create transition matrices of land cover change. Classified images were developed by first running an unsupervised ISODATA classification, and editing the class names based on image interpretation, AOIs, spectral signatures, field notes and maps, and previous classification, using Erdas IMAGINE. Classified images were then used in a change detection analysis, using Erdas IMAGINE.

Data were originally in the Imagine file format (.img), but exported to TIF (.tif) using ERDAS Imagine 8.7.

6. Data Access:

This data is available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).

Data Archive Center:

Contact for Data Center Access Information:
E-mail: uso@daac.ornl.gov
Telephone: +1 (865) 241-3952

7. References:

Green, G.M., C.M. Schweik, and J.C. Randolph. 2005. Retrieving Land-Cover Change Information from Landsat Satellite Images by Minimizing Other Sources of Reflectance Variability. Pages 131-160 in E.F. Moran and E. Ostrom, editors. Seeing the Forest and the Trees: Human-Environment Interactions in Forest Ecosystems. MIT Press, Cambridge, MA.

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