Articles | Volume 12, issue 2
https://doi.org/10.5194/essd-12-847-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-847-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
16 Apr 2020
Data description paper |
| 16 Apr 2020
Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2016
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
Joint Center for Global Change Studies, Beijing 100875, China
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Universite Paris-Saclay, Gif-sur-Yvette 91191, France
Yuqi Cheng
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
Peng Gong
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
Joint Center for Global Change Studies, Beijing 100875, China
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16 citations as recorded by crossref.
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- Species Richness and Carbon Footprints of Vegetable Oils: Can High Yields Outweigh Palm Oil’s Environmental Impact? R. Beyer & T. Rademacher 10.3390/su13041813
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- Characterizing the long‐term dynamics of aerosol optical depth in the Yangtze River Middle‐Reach urban agglomeration, China M. Zhang et al. 10.1002/joc.6945
- Oil palm modelling in the global land surface model ORCHIDEE-MICT Y. Xu et al. 10.5194/gmd-14-4573-2021
- Mapping oil palm density at country scale: An active learning approach A. Rodríguez et al. 10.1016/j.rse.2021.112479
- Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images J. Zheng et al. 10.1016/j.isprsjprs.2021.01.008
- Rerouting a major Indonesian mining road to spare nature and reduce development costs J. Engert et al. 10.1111/csp2.521
- Oil palm in the 2020s and beyond: challenges and solutions D. Murphy et al. 10.1186/s43170-021-00058-3
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- Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery A. Rodríguez et al. 10.3390/rs13214302
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- The Green Revolution from space: Mapping the historic dynamics of main rice types in one of the world's food bowls J. Peña-Arancibia et al. 10.1016/j.rsase.2020.100460
- Synthesis and characterization of hydrophobic properties of silicon dioxide in palm oil based bio-coating S. Mustapha et al. 10.1016/j.matpr.2021.11.636
- Improvement of the ESA CCI Land cover maps for water balance analysis in tropical regions: A case study in the Muda River Basin, Malaysia M. Tan et al. 10.1016/j.ejrh.2021.100837
- Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco C. Lin et al. 10.3390/rs13091740
16 citations as recorded by crossref.
- A Simple Approach for Mapping Forest Cover from Time Series of Satellite Data Y. Liu & R. Liu 10.3390/rs12182918
- Species Richness and Carbon Footprints of Vegetable Oils: Can High Yields Outweigh Palm Oil’s Environmental Impact? R. Beyer & T. Rademacher 10.3390/su13041813
- A CNN-Based Self-Supervised Synthetic Aperture Radar Image Denoising Approach S. Tan et al. 10.1109/TGRS.2021.3104807
- Characterizing the long‐term dynamics of aerosol optical depth in the Yangtze River Middle‐Reach urban agglomeration, China M. Zhang et al. 10.1002/joc.6945
- Oil palm modelling in the global land surface model ORCHIDEE-MICT Y. Xu et al. 10.5194/gmd-14-4573-2021
- Mapping oil palm density at country scale: An active learning approach A. Rodríguez et al. 10.1016/j.rse.2021.112479
- Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images J. Zheng et al. 10.1016/j.isprsjprs.2021.01.008
- Rerouting a major Indonesian mining road to spare nature and reduce development costs J. Engert et al. 10.1111/csp2.521
- Oil palm in the 2020s and beyond: challenges and solutions D. Murphy et al. 10.1186/s43170-021-00058-3
- Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees N. Husin et al. 10.1007/s11119-021-09829-4
- Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery A. Rodríguez et al. 10.3390/rs13214302
- High-resolution global map of smallholder and industrial closed-canopy oil palm plantations A. Descals et al. 10.5194/essd-13-1211-2021
- The Green Revolution from space: Mapping the historic dynamics of main rice types in one of the world's food bowls J. Peña-Arancibia et al. 10.1016/j.rsase.2020.100460
- Synthesis and characterization of hydrophobic properties of silicon dioxide in palm oil based bio-coating S. Mustapha et al. 10.1016/j.matpr.2021.11.636
- Improvement of the ESA CCI Land cover maps for water balance analysis in tropical regions: A case study in the Muda River Basin, Malaysia M. Tan et al. 10.1016/j.ejrh.2021.100837
- Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco C. Lin et al. 10.3390/rs13091740
Latest update: 27 May 2023
Short summary
The first annual oil palm area dataset (AOPD) for Malaysia and Indonesia from 2001 to 2016 was produced by integrating multiple satellite datasets and a change-detection algorithm (BFAST). This dataset reveals that oil palm plantations have expanded from 5.69 to 19.05 M ha in the two countries during the past 16 years. The AOPD is useful in understanding the deforestation process in Southeast Asia and may serve as land-use change inputs in dynamic global vegetation models.
The first annual oil palm area dataset (AOPD) for Malaysia and Indonesia from 2001 to 2016 was...
