Open Access
The 10-m crop type maps in Northeast China during 2017–2019
Nanshan You
1, 2
,
J. W. Dong
1
,
Jianxi Huang
3
,
Guoming Du
4
,
Geli Zhang
3
,
Yingli He
1
,
Tong Yang
3
,
Yuanyuan Di
3
,
Xiangming Xiao
5
Publication type: Journal Article
Publication date: 2021-02-02
scimago Q1
wos Q1
SJR: 1.867
CiteScore: 8.4
Impact factor: 6.9
ISSN: 20524463
PubMed ID:
33531510
Computer Science Applications
Statistics and Probability
Library and Information Sciences
Information Systems
Statistics, Probability and Uncertainty
Education
Abstract
Northeast China is the leading grain production region in China where one-fifth of the national grain is produced; however, consistent and reliable crop maps are still unavailable, impeding crop management decisions for regional and national food security. Here, we produced annual 10-m crop maps of the major crops (maize, soybean, and rice) in Northeast China from 2017 to 2019, by using (1) a hierarchical mapping strategy (cropland mapping followed by crop classification), (2) agro-climate zone-specific random forest classifiers, (3) interpolated and smoothed 10-day Sentinel-2 time series data, and (4) optimized features from spectral, temporal, and texture characteristics of the land surface. The resultant maps have high overall accuracies (OA) spanning from 0.81 to 0.86 based on abundant ground truth data. The satellite estimates agreed well with the statistical data for most of the municipalities (R2 ≥ 0.83, p < 0.01). This is the first effort on regional annual crop mapping in China at the 10-m resolution, which permits assessing the performance of the soybean rejuvenation plan and crop rotation practice in China. Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13567526
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
10
20
30
40
50
60
|
|
|
Remote Sensing
54 publications, 18.31%
|
|
|
International Journal of Applied Earth Observation and Geoinformation
18 publications, 6.1%
|
|
|
Computers and Electronics in Agriculture
17 publications, 5.76%
|
|
|
Scientific data
14 publications, 4.75%
|
|
|
Remote Sensing of Environment
13 publications, 4.41%
|
|
|
ISPRS Journal of Photogrammetry and Remote Sensing
12 publications, 4.07%
|
|
|
Agronomy
11 publications, 3.73%
|
|
|
Earth System Science Data
10 publications, 3.39%
|
|
|
GIScience and Remote Sensing
7 publications, 2.37%
|
|
|
Geography and Sustainability
6 publications, 2.03%
|
|
|
International Journal of Remote Sensing
5 publications, 1.69%
|
|
|
Agricultural and Forest Meteorology
5 publications, 1.69%
|
|
|
Agriculture (Switzerland)
5 publications, 1.69%
|
|
|
Sustainability
4 publications, 1.36%
|
|
|
European Journal of Agronomy
4 publications, 1.36%
|
|
|
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
4 publications, 1.36%
|
|
|
IEEE Transactions on Geoscience and Remote Sensing
4 publications, 1.36%
|
|
|
Land
4 publications, 1.36%
|
|
|
Sensors
3 publications, 1.02%
|
|
|
Frontiers in Plant Science
3 publications, 1.02%
|
|
|
Science of Remote Sensing
3 publications, 1.02%
|
|
|
Remote Sensing Applications: Society and Environment
3 publications, 1.02%
|
|
|
Ecological Informatics
3 publications, 1.02%
|
|
|
Journal of Remote Sensing
3 publications, 1.02%
|
|
|
Soil and Tillage Research
3 publications, 1.02%
|
|
|
Ecological Indicators
3 publications, 1.02%
|
|
|
Geo-Spatial Information Science
3 publications, 1.02%
|
|
|
Agricultural Water Management
3 publications, 1.02%
|
|
|
Journal of Geographical Sciences
2 publications, 0.68%
|
|
|
10
20
30
40
50
60
|
Publishers
|
20
40
60
80
100
120
|
|
|
Elsevier
118 publications, 40%
|
|
|
MDPI
86 publications, 29.15%
|
|
|
Springer Nature
26 publications, 8.81%
|
|
|
Taylor & Francis
17 publications, 5.76%
|
|
|
Institute of Electrical and Electronics Engineers (IEEE)
16 publications, 5.42%
|
|
|
Copernicus
10 publications, 3.39%
|
|
|
Frontiers Media S.A.
4 publications, 1.36%
|
|
|
Wiley
4 publications, 1.36%
|
|
|
American Association for the Advancement of Science (AAAS)
3 publications, 1.02%
|
|
|
American Geophysical Union
3 publications, 1.02%
|
|
|
IOP Publishing
2 publications, 0.68%
|
|
|
Association for Computing Machinery (ACM)
2 publications, 0.68%
|
|
|
EDP Sciences
1 publication, 0.34%
|
|
|
Cambridge University Press
1 publication, 0.34%
|
|
|
Scientific Societies
1 publication, 0.34%
|
|
|
SPIE-Intl Soc Optical Eng
1 publication, 0.34%
|
|
|
20
40
60
80
100
120
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
295
Total citations:
295
Citations from 2024:
170
(57.62%)
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
You N. et al. The 10-m crop type maps in Northeast China during 2017–2019 // Scientific data. 2021. Vol. 8. No. 1. 41
GOST all authors (up to 50)
Copy
You N., Dong J. W., Huang J., Du G., Zhang G., He Y., Yang T., Di Y., Xiao X. The 10-m crop type maps in Northeast China during 2017–2019 // Scientific data. 2021. Vol. 8. No. 1. 41
Cite this
RIS
Copy
TY - JOUR
DO - 10.1038/s41597-021-00827-9
UR - https://doi.org/10.1038/s41597-021-00827-9
TI - The 10-m crop type maps in Northeast China during 2017–2019
T2 - Scientific data
AU - You, Nanshan
AU - Dong, J. W.
AU - Huang, Jianxi
AU - Du, Guoming
AU - Zhang, Geli
AU - He, Yingli
AU - Yang, Tong
AU - Di, Yuanyuan
AU - Xiao, Xiangming
PY - 2021
DA - 2021/02/02
PB - Springer Nature
IS - 1
VL - 8
PMID - 33531510
SN - 2052-4463
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2021_You,
author = {Nanshan You and J. W. Dong and Jianxi Huang and Guoming Du and Geli Zhang and Yingli He and Tong Yang and Yuanyuan Di and Xiangming Xiao},
title = {The 10-m crop type maps in Northeast China during 2017–2019},
journal = {Scientific data},
year = {2021},
volume = {8},
publisher = {Springer Nature},
month = {feb},
url = {https://doi.org/10.1038/s41597-021-00827-9},
number = {1},
pages = {41},
doi = {10.1038/s41597-021-00827-9}
}