This dataset provides annual maps of land cover classes for the Colombian Amazon from 2001 through 2016 that were created by classifying time segments detected by the Continuous Change Detection and Classification (CCDC) algorithm. The CCDC algorithm detected changes in Landsat pixel surface reflectance across the time series, and the time segments were classified into land cover types using a Random Forest classifier and manually collected training data. Annual maps of land cover were created for each Landsat scene and then post-processed and mosaicked. Land cover types include unclassified, forest, natural grasslands, urban, pastures, secondary forest, water, or highly reflective surfaces. The training data are not included with this dataset.
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Spatial Extent: | Bounding Rectangle: N: 5.38 S: -3.88 E: -65.95 W: -78.03 |
Data Format(s): | Distribution: GeoTIFF |
Temporal Extent: | Platform(s): | LANDSAT-5, LANDSAT-7, LANDSAT-8, Environmental Modeling | |
Data Center(s): | ORNL_DAAC | Instrument(s): | TM, ETM+, OLI, Computer |
Version: | 1 |
10.3334/ORNLDAAC/1783
https://doi.org
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Last Revision |
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model products
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Project Short Name | Campaigns | Project Dates |
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CMS | No campaigns listed. | No dates provided. |
Coverage Type | Zone Identifier | Geometry | Granule Representation |
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HORIZONTAL | CARTESIAN | CARTESIAN |
ORNL DAAC User Services Office, P.O. Box 2008, MS 6407, Oak Ridge National Laboratory
Oak Ridge,
Tennessee
37831-6407
(865) 241-3952
There are no listed data contacts for this collection.
Format: GeoTIFF
Format Type: Native
Fees: 0