干旱区生态环境知识资源中心(Arid): Generating Salt-Affected Irrigated Cropland Map in an Arid and Semi-Arid Region Using Multi-Sensor Remote Sensing Data

Arid

DOI	10.3390/rs14236010
	Generating Salt-Affected Irrigated Cropland Map in an Arid and Semi-Arid Region Using Multi-Sensor Remote Sensing Data
	Wuyun, Deji; Bao, Junwei; Crusiol, Luis Guilherme Teixeira; Wulan, Tuya; Sun, Liang; Wu, Shangrong; Xin, Qingqiang; Sun, Zheng; Chen, Ruiqing; Peng, Jingyu; Xu, Hongtao; Wu, Nitu; Hou, Anhong; Wu, Lan; Ren, Tingting
通讯作者	Ren, TT
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:23
英文摘要	Soil salinization is a widespread environmental hazard and a major abiotic constraint affecting global food production and threatening food security. Salt-affected cropland is widely distributed in China, and the problem of salinization in the Hetao Irrigation District (HID) in the Inner Mongolia Autonomous Region is particularly prominent. The salt-affected soil in Inner Mongolia is 1.75 million hectares, accounting for 14.8% of the total land. Therefore, mapping saline cropland in the irrigation district of Inner Mongolia could evaluate the impacts of cropland soil salinization on the environment and food security. This study hypothesized that a reasonably accurate regional map of salt-affected cropland would result from a ground sampling approach based on PlanetScope images and the methodology developed by Sentinel multi-sensor images employing the machine learning algorithm in the cloud computing platform. Thus, a model was developed to create the salt-affected cropland map of HID in 2021 based on the modified cropland base map, valid saline and non-saline samples through consistency testing, and various spectral parameters, such as reflectance bands, published salinity indices, vegetation indices, and texture information. Additionally, multi-sensor data of Sentinel from dry and wet seasons were used to determine the best solution for mapping saline cropland. The results imply that combining the Sentinel-1 and Sentinel-2 data could map the soil salinity in HID during the dry season with reasonable accuracy and close to real time. Then, the indicators derived from the confusion matrix were used to validate the established model. As a result, the combined dataset, which included reflectance bands, spectral indices, vertical transmit-vertical receive (VV) and vertical transmit-horizontal receive (VH) polarization, and texture information, outperformed the highest overall accuracy at 0.8938, while the F1 scores for saline cropland and non-saline cropland are 0.8687 and 0.9109, respectively. According to the analyses conducted for this study, salt-affected cropland can be detected more accurately during the dry season by using just Sentinel images from March to April. The findings of this study provide a clear explanation of the efficiency and standardization of salt-affected cropland mapping in arid and semi-arid regions, with significant potential for applicability outside the current study area.
英文关键词	irrigation district cropland quantile and quantile plots testing dry season Google Earth Engine
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000897118300001
WOS关键词	SOIL-SALINITY ; FOREST STRUCTURE ; MODEL ; INFORMATION ; COMBINATION ; SENTINEL-1 ; EXTRACTION ; CHINA
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394243
推荐引用方式 GB/T 7714	Wuyun, Deji,Bao, Junwei,Crusiol, Luis Guilherme Teixeira,et al. Generating Salt-Affected Irrigated Cropland Map in an Arid and Semi-Arid Region Using Multi-Sensor Remote Sensing Data[J],2022,14(23).
APA	Wuyun, Deji.,Bao, Junwei.,Crusiol, Luis Guilherme Teixeira.,Wulan, Tuya.,Sun, Liang.,...&Ren, Tingting.(2022).Generating Salt-Affected Irrigated Cropland Map in an Arid and Semi-Arid Region Using Multi-Sensor Remote Sensing Data.REMOTE SENSING,14(23).
MLA	Wuyun, Deji,et al."Generating Salt-Affected Irrigated Cropland Map in an Arid and Semi-Arid Region Using Multi-Sensor Remote Sensing Data".REMOTE SENSING 14.23(2022).