Preprints
https://doi.org/10.5194/essd-2021-211
https://doi.org/10.5194/essd-2021-211

  26 Aug 2021

26 Aug 2021

Review status: this preprint is currently under review for the journal ESSD.

AsiaRiceMap10m: high-resolution annual paddy rice maps for Southeast and Northeast Asia from 2017 to 2019

Jichong Han, Zhao Zhang, Yuchuan Luo, Juan Cao, Liangliang Zhang, Fei Cheng, Huimin Zhuang, and Jing Zhang Jichong Han et al.
  • State Key Laboratory of Earth Surface Processes and Resource Ecology/ MoE Key Laboratory of Environmental Change and Natural Hazards, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

Abstract. An accurate paddy rice map is crucial for food security, particularly for Southeast and Northeast Asia. The MODIS satellite data is useful for mapping paddy rice at continental scales but has a problem of mixed-pixel due to coarse spatial resolution. To reduce the mixed pixels, we designed a rule-based method for mapping paddy rice by integrating time-series Sentinel-1 and MODIS data. We demonstrated the method in generating annual paddy rice maps for Southeast and Northeast Asia in 2017–2019 (AsiaRiceMap10m). The resultant paddy rice maps were compared with available agricultural statistics at subnational levels and existing rice maps for some countries. The results show that the linear coefficient of determination (R2) between our paddy rice maps and agricultural statistics ranges from 0.80 to 0.97. The paddy rice planting areas in 2017 were spatially consistent with the existing maps in Vietnam (R2 = 0.93) and Northeast China (R2 = 0.99). The spatial distribution of the 2017–2019 composite paddy rice map is consistent with the rice map from the International Rice Research Institute. The paddy rice planting area may be underestimated in the region where the flooding signal is not strong. The dataset is useful for water resource management, rice growth, and yield monitoring. The full product is publicly available at https://doi.org/10.17632/j34b3jsvr9.1 (Han et al., 2021a). Find small examples here (https://doi.org/10.17632/cnc3tkbwcm.1) (Han et al., 2021b).

Jichong Han et al.

Status: open (until 21 Oct 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-211', Anonymous Referee #1, 13 Sep 2021 reply

Jichong Han et al.

Data sets

AsiaRiceMap10m Example data Jichong Han, Zhao Zhang, Yuchuan Luo, Juan Cao, Liangliang Zhang, Fei Cheng, Huimin Zhuang, Jing Zhang https://doi.org/10.17632/cnc3tkbwcm.1

High resolution annual paddy rice maps for Southeast and Northeast Asia in 2017-2019 Jichong Han, Zhao Zhang, Yuchuan Luo, Juan Cao, Liangliang Zhang, Fei Cheng, Huimin Zhuang, Jing Zhang https://doi.org/10.17632/j34b3jsvr9.1

Jichong Han et al.

Viewed

Total article views: 287 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
217 63 7 287 23 3 8
  • HTML: 217
  • PDF: 63
  • XML: 7
  • Total: 287
  • Supplement: 23
  • BibTeX: 3
  • EndNote: 8
Views and downloads (calculated since 26 Aug 2021)
Cumulative views and downloads (calculated since 26 Aug 2021)

Viewed (geographical distribution)

Total article views: 258 (including HTML, PDF, and XML) Thereof 258 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Sep 2021
Download
Short summary
The accurate planting area and spatial distribution information is the basis for ensuring food security at continental scales. We constructed a paddy rice map database in Southeast and Northeast Asia for three years (2017–2019) at a 10m spatial resolution. There are fewer mixed pixels in our paddy rice map. The large-scale and high-resolution maps of paddy rice are useful for water resource management and yield monitoring.