Land Cover Transition Maps for Para, Brazil Sites: 1970-2001
Updated 3mo ago
6filesBIN
Available on 2 platforms
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Description
LBA-ECO LC-09 provides classified land cover transition maps at 30-meter resolution for three study sites in Para, Brazil. The maps were derived from Landsat TM, MSS, ETM+ imagery and aerial photos, classifying land use into categories like forest, pasture, and crops. This dataset from ORNL_CLOUD documents land cover changes over a multi-decade period.
Use Cases
Analyzing deforestation patterns by tracking transitions from 'forest' to 'pasture' or 'annual crops' over time.
Quantifying rates of secondary forest succession using the 'secondary succession' land cover class.
Modeling the historical footprint of agriculture by examining the spatial distribution of 'perennial crops' and 'annual crops'.
Assessing habitat fragmentation by studying the change matrices between different land cover types.
Calibrating regional land use change models with high-resolution (30-m) historical geospatial data.
Strengths
Provides high-resolution (30-m) spatial data enabling detailed land cover analysis.
Covers a long temporal range (1970-2001) for observing multi-decade environmental change.
Based on multi-source imagery including Landsat and aerial photos for improved classification.
Limitations
Image dates are not continuous, being limited to the most cloud-free retrievals, creating temporal gaps.
The dataset consists of only 3 GeoTIFF files, which may limit the scope of spatial analysis.
Conflicting 'last updated' metadata exists between platforms (2001 vs. 2026), casting doubt on provenance timeliness.
Provenance
Source
ORNL_CLOUD
Collection Method
Derived from classification of Landsat TM, MSS, ETM+ imagery and aerial photos subjected to change detection analysis.
Time Range
1970-2001
Freshness
2026-03-13 17:39:37.364623
Geography
Three study sites (Altamira, Santarem, Ponta de Pedras) in the state of Para, Brazil.
License is specified as 'other-license-specified'; users must review terms. Data is provided as GeoTIFF files within a ZIP archive.