Dataset of Oil Palm Plantation Area in Southeast Asia Based on Combined Time-series Optical and Microwave Remote Sensing (2019-2021)
LIAO Song1CAO Yunfeng*1WANG Yaqin2YU Bohua3
1 Precision Forestry Key Laboratory of Beijing，Beijing Forestry University，Beijing 100083，China2 China Land Surveying and Planning Institute，Beijing 100035，China3 Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100010，China
DOI:10.3974/geodb.2024.07.06.V1
Published:Jul. 2024
Visitors：2198 Data Files Downloaded：11
Data Downloaded：2632.34 MB Citations：
Key Words：
Sentinel-1/2,remote sensing monitoring,time series,quarterly composite image,oil palm mapping
Abstract：
Oil palm is a significant tropical oil crop with considerable economic advantages and market value. The dataset of oil palm plantation area in southeast Asia based on combined time-series optical and microwave remote sensing (2019-2021) was developed based on Sentinel-1/2, combined with SRTM DEM, coastline, global oil palm sample set, time series NDVI maximum optical data, microwave texture features, other auxiliary data and the random forest classification method. In the dataset, the pixel value identified as oil palm in one to three seasons is 1, and the pixel value identified as oil palm in all four seasons is 2. The area assigned to 1 or 2 is denoted as the union of the seasons, and the area assigned to 2 is denoted as the intersection of the seasons in statistics. The spatial resolution of the dataset is 0.00014489° (about 16 m). The overall accuracy of intersection is 96.72%, and the omission error is only 0.34%. The overall accuracy of the union is 93.72%, and the commission error is only 0.4%. Compared to other published oil palm datasets about area of oil palm, the result from union in this dataset is the closest to those from the Food and Agriculture Organization of the United Nations (FAO). The dataset is archived in .tif format, and consists of 27 data files with data size of 3.43 GB (Compressed to 3 files with 713 MB).
Foundation Item：
Ministry of Science and Technology of P. R. China (2021YFE0117300-4)
Data Citation：
LIAO Song, CAO Yunfeng*, WANG Yaqin, YU Bohua. Dataset of Oil Palm Plantation Area in Southeast Asia Based on Combined Time-series Optical and Microwave Remote Sensing (2019-2021)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.07.06.V1.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
SEAsia_OilPalm_2019.rar |
256057.15KB |
|
| 2 |
SEAsia_OilPalm_2020.rar |
246197.13KB |
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| 3 |
SEAsia_OilPalm_2021.rar |
228243.61KB |
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