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author:

Qiu, B. (Qiu, B..) [1] | Hu, X. (Hu, X..) [2] | Chen, C. (Chen, C..) [3] | Tang, Z. (Tang, Z..) [4] | Yang, P. (Yang, P..) [5] | Zhu, X. (Zhu, X..) [6] | Yan, C. (Yan, C..) [7] | Jian, Z. (Jian, Z..) [8]

Indexed by:

Scopus

Abstract:

Multiple cropping is a widespread approach for intensifying crop production through rotations of diverse crops. Maps of cropping intensity with crop descriptions are important for supporting sustainable agricultural management. As the most populated country, China ranked first in global cereal production and the percentages of multiple-cropped land are twice of the global average. However, there are no reliable updated national-scale maps of cropping patterns in China. Here we present the first recent annual 500-m MODIS-based national maps of multiple cropping systems in China using phenology-based mapping algorithms with pixel purity-based thresholds, which provide information on cropping intensity with descriptions of three staple crops (maize, paddy rice, and wheat). The produced cropping patterns maps achieved an overall accuracy of 89% based on ground truth data, and a good agreement with the statistical data (R2 ≥ 0.89). The China Cropping Pattern maps (ChinaCP) are available for public download online. Cropping patterns maps in China and other countries with finer resolutions can be produced based on Sentinel-2 Multispectral Instrument (MSI) images using the shared code. © 2022, The Author(s).

Keyword:

Community:

  • [ 1 ] [Qiu, B.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China
  • [ 2 ] [Hu, X.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China
  • [ 3 ] [Chen, C.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China
  • [ 4 ] [Tang, Z.]Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln, NE 68558, United States
  • [ 5 ] [Yang, P.]Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 6 ] [Zhu, X.]Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
  • [ 7 ] [Yan, C.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China
  • [ 8 ] [Jian, Z.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China

Reprint 's Address:

  • [Qiu, B.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Fujian, China

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Source :

ISSN: 2052-4463

Year: 2022

Issue: 1

Volume: 9

Language: English

9 . 8

JCR@2022

5 . 8 0 0

JCR@2023

ESI HC Threshold:117

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 109

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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