27 Apr 2023
 | 27 Apr 2023
Status: this preprint is currently under review for the journal ESSD.

Refined mapping of tree cover at fine-scale using time-series Planet-NICFI and Sentinel-1 imagery for Southeast Asia (2016–2021)

Feng Yang and Zhenzhong Zeng

Abstract. High-resolution mapping of tree cover is indispensable for effectively addressing tropical forest carbon loss, climate warming, biodiversity conservation, and sustainable development. However, the availability of precise high-resolution tree cover map products remains inadequate due to the inherent limitations of mapping techniques utilizing medium-to-coarse resolution satellite imagery, such as Landsat and Sentinel-2 imagery. In this study, we have generated an annual tree cover map product at a resolution of 4.77 m for Southeast Asia (SEA) for the years 2016–2021 by integrating Planet-Norway’s International Climate & Forests Initiative (NICFI) imagery and Sentinel-1 Synthetic Aperture Radar data. we have also collected annual samples to assess the accuracy of our Planet-NICFI tree cover map products. The results show that our Planet-NICFI tree cover map products during 2016–2021 achieve high accuracy, with an overall accuracy of 0.867 ± 0.017 and a mean F1 score of 0.921, respectively. Furthermore, our tree cover map products exhibit high temporal consistency from 2016 to 2021. Compared to existing map products (FROM-GLC10, ESA WorldCover 2020 and 2021), our tree cover map products exhibit better performance, both statistically and visually. Yet, the imagery obtained from Planet-NICFI performs less in mapping tree cover in areas with diverse vegetation or complex landscapes due to insufficient spectral information. Nevertheless, we highlight the capability of Planet-NICFI datasets in providing quick and fine-scale tree cover mapping to a large extent. The consistent characterization of tree cover dynamics in SEA's tropical forests can be further applied in various disciplines. The annual Planet-NICFI V1.0 tree cover map products from 2016 to 2021 at 4.77 m resolution are publicly available at (Yang and Zeng, 2023).

Feng Yang and Zhenzhong Zeng

Status: open (until 22 Jun 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on essd-2023-143', Clement Atzberger, 08 May 2023 reply
  • RC1: 'Comment on essd-2023-143', Anonymous Referee #1, 16 May 2023 reply
  • CC2: 'Comment on essd-2023-143', lipeng jiao, 23 May 2023 reply
  • RC2: 'Comment on essd-2023-143', Anonymous Referee #2, 26 May 2023 reply

Feng Yang and Zhenzhong Zeng

Data sets

Fine-scale maps of tree cover generated using time-series Planet-NICFI imagery for Southeast Asia (2016-2021) Feng Yang and Zhenzhong Zeng

Feng Yang and Zhenzhong Zeng


Total article views: 600 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
455 128 17 600 5 5
  • HTML: 455
  • PDF: 128
  • XML: 17
  • Total: 600
  • BibTeX: 5
  • EndNote: 5
Views and downloads (calculated since 27 Apr 2023)
Cumulative views and downloads (calculated since 27 Apr 2023)

Viewed (geographical distribution)

Total article views: 594 (including HTML, PDF, and XML) Thereof 594 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 02 Jun 2023
Short summary
We generated a 4.77 m resolution annual tree cover map product for Southeast Asia (SEA) during 2016–2021 by PlanetScope and Sentinel-1 SAR imagery. Our maps were mapped with good accuracy and high consistency during 2016–2021. The baseline maps at 4.77 m can be converted to SEA’s forest cover maps at various resolutions to meet different users’ needs. Our products can help resolve rounding errors in forest cover mapping by counting isolated trees and monitoring long narrow forest cover removal.