Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 0341-8162 |
EISSN | 1872-6887 |
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 |
推荐引用方式 GB/T 7714 | 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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