中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990-2050 in Cold China

文献类型：期刊论文

作者Pan, Tao1,2,5,6,7,8,9,10; Zhang, Chi5,7; Kuang, Wenhui8; De Maeyer, Philippe6,9,10; Kurban, Alishir5,9,10; Hamdi, Rafiq2,3,5; Du, Guoming4
刊名REMOTE SENSING
出版日期2018-12-01
卷号10期号:12页码:22
ISSN号2072-4292
关键词tracking cropping patterns time series images updating technology agricultural systems Cold China
DOI10.3390/rs10122011
通讯作者Zhang, Chi(zc@ms.xjb.ac.cn) ; Kuang, Wenhui(kuangwh@lreis.ac.cn)
英文摘要Rapid cropland reclamation is underway in Cold China in response to increases in food demand, while the lack analyses of time series cropping pattern mappings limits our understanding of the acute transformation process of cropland structure and associated environmental effects. The Cold China contains different agricultural systems (state and private farming), and such systems could lead to different cropping patterns. So far, such changes have not been revealed yet. Based on the Landsat images, this study tracked cropping information in five-year increments (1990-1995, 1995-2000, 2000-2005, 2005-2010, and 2010-2015) and predicted future patterns for the period of 2020-2050 under different agricultural systems using developed method for determining cropland patterns. The following results were obtained: The available time series of Landsat images in Cold China met the requirements for long-term cropping pattern studies, and the developed method exhibited high accuracy (over 91%) and obtained precise spatial information. A new satellite evidence was observed that cropping patterns significantly differed between the two farm types, with paddy field in state farming expanding at a faster rate (from 2.66 to 68.56%) than those in private farming (from 10.12 to 34.98%). More than 70% of paddy expansion was attributed to the transformation of upland crop in each period at the pixel level, which led to a greater loss of upland crop in state farming than private farming (9505.66 km(2) vs. 2840.29 km(2)) during 1990-2015. Rapid cropland reclamation is projected to stagnate in 2020, while paddy expansion will continue until 2040 primarily in private farming in Cold China. This study provides new evidence for different land use change pattern mechanisms between different agricultural systems, and the results have significant implications for understanding and guiding agricultural system development.
WOS关键词PADDY RICE AGRICULTURE ; SANJIANG PLAIN ; NORTHEAST CHINA ; SPATIAL-PATTERN ; MULTIFACTOR CONTROLS ; SOUTHERN CHINA ; DRIVING FORCES ; MODIS ; AREA ; TRAJECTORIES
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA2006030201] ; Taishan Scholars Program of Shandong, China ; National Natural Science Foundation of China[41571167]
WOS研究方向Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:000455637600153
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; Taishan Scholars Program of Shandong, China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/50547]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Chi; Kuang, Wenhui
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Royal Meteorol Inst, B-1180 Brussels, Belgium
3.Univ Ghent, Dept Phys & Astron, B-9000 Ghent, Belgium
4.Northeast Agr Univ, Coll Resources & Environm Sci, Harbin 150030, Heilongjiang, Peoples R China
5.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
6.Univ Ghent, Dept Geog, B-9000 Ghent, Belgium
7.Linyi Univ, Coll Resources & Environm, Shandong Prov Key Lab Water & Soil Conservat & En, Linyi 276000, Peoples R China
8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
9.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China
10.Univ Ghent, Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium
推荐引用方式
GB/T 7714		 Pan, Tao,Zhang, Chi,Kuang, Wenhui,et al. Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990-2050 in Cold China[J]. REMOTE SENSING,2018,10(12):22.
APA Pan, Tao.,Zhang, Chi.,Kuang, Wenhui.,De Maeyer, Philippe.,Kurban, Alishir.,...&Du, Guoming.(2018).Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990-2050 in Cold China.REMOTE SENSING,10(12),22.
MLA Pan, Tao,et al."Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990-2050 in Cold China".REMOTE SENSING 10.12(2018):22.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。