Arid
DOI10.1016/j.catena.2019.104192
Spatial and temporal mapping of cropland expansion in northwestern China with multisource remotely sensed data
Ma, Ligang1,2; Yang, Shengtian1,3; Gu, Qing4; Li, Jiadan5; Yang, Xiaodong1,2; Wang, Jinjie1,2; Ding, Jianli1,2
通讯作者Ding, Jianli
来源期刊CATENA
ISSN0341-8162
EISSN1872-6887
出版年2019
卷号183
英文摘要Excessive farming has transformed large proportions of Xinjiang's terrestrial surface, which leads to widespread loss and degradation of ecosystems and biodiversity. Mapping croplands at regional scale and in a rapid and less costly approach is becoming increasingly needed. This study explored an integrated approach based on a combined use of multiple remotely sensed data to map croplands in the oasis of northwest China. The Terra MODIS land surface temperature, Enhanced vegetation index, TRMM precipitation and SRTM digital elevation model data products were examined and combined. The Random Forest models were established to estimate fractional croplands at the regional scale. The influences of basin, images and percentage of croplands were all examined on the accuracy of cropland estimation. Moreover, time series analysis of croplands from 2000 to 2017 was conducted across the basin scale. The results are: (1) the integrated approach for cropland mapping at regional scale is promising with the explained variances of fifteen trial models ranging from 58%-93% and two basin scale models ranging from 77.21%-86.10%. (2) The prediction accuracy of croplands in Tarim Basin was much higher than that in Junggar Basin indicated by explained variances. (3) Prediction errors increase and then decrease with the increase of percentage of croplands. (4) EVI and DEM were identified to be the most important variable in Junggar and Tarim basin. (5) During the past 18 years, the area of croplands has been expanding at approximately 641.31cm(2)/year in Junggar Basin and 271.3 km(2)/year in Tarim Basin respectively with no sign of cease. The fastest expansion period and the most dramatic changing area were identified. This study is especially valuable for time series analysis of croplands and its correlation with land degradation in arid region.
英文关键词Arid area Model Fractional Large scale Time series
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000488417700013
WOS关键词TIME-SERIES ; MODIS DATA ; LAND-USE ; XINJIANG
WOS类目Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向Geology ; Agriculture ; Water Resources
EI主题词2019-12-01
来源机构北京师范大学 ; 新疆大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/311300
作者单位1.Xinjiang Univ, Gen Coll Key Lab Smart City & Environm Modeling, Coll Resource & Environm Sci, Urumqi 830046, Xinjiang, Peoples R China;
2.Xinjiang Univ, Minist Educ, Key Lab Oasis Ecol, Urumqi 830046, Xinjiang, Peoples R China;
3.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China;
4.Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Zhejiang, Peoples R China;
5.Ningbo Acad Agr Sci, Inst Rural Dev & Informat, Ningbo 315040, Zhejiang, Peoples R China
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Ma, Ligang,Yang, Shengtian,Gu, Qing,et al. Spatial and temporal mapping of cropland expansion in northwestern China with multisource remotely sensed data[J]. 北京师范大学, 新疆大学,2019,183.
APA Ma, Ligang.,Yang, Shengtian.,Gu, Qing.,Li, Jiadan.,Yang, Xiaodong.,...&Ding, Jianli.(2019).Spatial and temporal mapping of cropland expansion in northwestern China with multisource remotely sensed data.CATENA,183.
MLA Ma, Ligang,et al."Spatial and temporal mapping of cropland expansion in northwestern China with multisource remotely sensed data".CATENA 183(2019).
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