中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine

文献类型:期刊论文

作者Naboureh, Amin3,4; Li, Ainong4; Ebrahimy, Hamid2; Bian, Jinhu4; Azadbakht, Mohsen2; Amani, Meisam1; Lei, Guangbin4; Nan, Xi4
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2021-12-25
卷号105页码:11
关键词Land cover Irrigation expansions Lake Urmia Google Earth Engine Sample migration Landsat
ISSN号1569-8432
DOI10.1016/j.jag.2021.102607
英文摘要Irrigated agricultural expansion is one of the main reasons for water scarcity in the Lake Urmia basin. Although previous studies have analyzed the impact of cropland expansion on the Lake Urmia Shrinkage, there is a lack of comprehensive annual assessment of historical irrigation expansion in the Lake Urmia basin and its impact on water resources of this region. In this study, we developed an automatic and efficient workflow using Landsat and Gravity Recovery and Climate Experiment (GRACE) data, GRACE Follow-On (GRACE-FO) data, and a sample migration technique within the Google Earth Engine cloud computing platform to comprehensively investigate the impact of irrigated agricultural expansion on the shrinkage of Lake Urmia, as one of the most severe environmental crisis in the world. Additionally, using the global surface water data, we proposed a fully automatic procedure to obtain reference samples from water bodies. The Lake Urmia basin was first classified into the water, irrigated, and Non-Water/Irrigated classes using the random forest algorithm. The average overall accuracy of the produced annual land cover maps during 1987-2020 was 92.2%, representing the great potential of the developed method for land cover mapping. We found that the irrigated lands expanded by nearly 890 km(2) during the study period. Coincident with this change, although the area of water bodies in Lake Urmia partially recovered after 2015 (reached from 1,050 km(2) in 2015 to 3,370 km(2) in 2020), it is currently far beyond its original condition (i.e.,similar to 5,400 km(2), average record during 1987-2000). Moreover, the information of the Terrestrial Water Storage (TWS) from the GRACE and GRACE-FO data between 2003 and 2020 showed a dramatic decrease in TWS level (similar to-11.5 cm). The findings of this research will assist the local stakeholders and authorities to better understanding the environmental costs of irrigation expansion in the Lake Urmia basin.
WOS关键词WATER INDEX NDWI ; SURFACE-WATER ; TIME-SERIES ; COVER ; CLASSIFICATION ; CLIMATE ; AREAS
资助项目National Key Research and Development Program of China[2020YFA0608700] ; Strategic Priority Research Program of CAS[XDA19030303] ; National Natural Science Foundation project of China[41801370] ; National Natural Science Foundation project of China[42090015] ; Youth Innovation Promotion Association CAS[2019365] ; CAS-TWAS
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000716821100003
出版者ELSEVIER
资助机构National Key Research and Development Program of China ; Strategic Priority Research Program of CAS ; National Natural Science Foundation project of China ; Youth Innovation Promotion Association CAS ; CAS-TWAS
源URL[http://ir.imde.ac.cn/handle/131551/56144]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者Li, Ainong; Ebrahimy, Hamid
作者单位1.Wood Environm & Infrastruct Solut, Ottawa, ON K2E 7K3, Canada
2.Shahid Beheshti Univ, Fac Earth Sci, Ctr Remote Sensing & GIS Res, Tehran, Iran
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714
Naboureh, Amin,Li, Ainong,Ebrahimy, Hamid,et al. Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2021,105:11.
APA Naboureh, Amin.,Li, Ainong.,Ebrahimy, Hamid.,Bian, Jinhu.,Azadbakht, Mohsen.,...&Nan, Xi.(2021).Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,105,11.
MLA Naboureh, Amin,et al."Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 105(2021):11.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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