Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 847–867, 2020
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.
Earth Syst. Sci. Data, 12, 847–867, 2020
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
Yidi Xu et al.
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Cited
12 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
- 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
- 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
- High-resolution global map of smallholder and industrial closed-canopy oil palm plantations A. Descals et al. 10.5194/essd-13-1211-2021
- Mapping oil palm density at country scale: An active learning approach A. Rodríguez et al. 10.1016/j.rse.2021.112479
- 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
- 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
- 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
12 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
- 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
- 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
- High-resolution global map of smallholder and industrial closed-canopy oil palm plantations A. Descals et al. 10.5194/essd-13-1211-2021
- Mapping oil palm density at country scale: An active learning approach A. Rodríguez et al. 10.1016/j.rse.2021.112479
- 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
- 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
- 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: 17 Sep 2021
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...
