Overview
| DOI | https://doi.org/10.3334/ORNLDAAC/1783 |
|---|---|
| Version | 1 |
| Project | |
| Published | 2020-09-17 |
| Updated | 2020-09-17 |
| Usage | 341 downloads |
Description
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.
Science Keywords
- HUMAN DIMENSIONS
- HABITAT CONVERSION/FRAGMENTATION
- DEFORESTATION
- LAND SURFACE
- LAND USE/LAND COVER
- LAND USE/LAND COVER CLASSIFICATION
- LAND SURFACE
- SURFACE RADIATIVE PROPERTIES
- REFLECTANCE
Data Use and Citation
This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.
Data Files
Sign in to download files.
Companion Files
Sign in to download files.
Dataset Companion Files
Dataset has 1 companion files.
- Landcover_Colombian_Amazon.pdf