Mapping Soil Salinity/Sodicity by using Landsat OLI Imagery and PLSR Algorithm over Semiarid West Jilin Province, China

CORC > 东北地理与农业生态研究所 > 湿地生态系统管理学科组 > 期刊论文

	Mapping Soil Salinity/Sodicity by using Landsat OLI Imagery and PLSR Algorithm over Semiarid West Jilin Province, China
	H. Yu, M. Y. Liu, B. J. Du, Z. M. Wang, L. J. Hu and B. Zhang
刊名	Sensors
	2018
卷号	18 期号:4
通讯作者	王宗明，张柏
中文摘要	Soil salinity and sodicity can significantly reduce the value and the productivity of affected lands, posing degradation, and threats to sustainable development of natural resources on earth. This research attempted to map soil salinity/sodicity via disentangling the relationships between Landsat 8 Operational Land Imager (OLI) imagery and in-situ measurements (EC, pH) over the west Jilin of China. We established the retrieval models for soil salinity and sodicity using Partial Least Square Regression (PLSR). Spatial distribution of the soils that were subjected to hybridized salinity and sodicity (HSS) was obtained by overlay analysis using maps of soil salinity and sodicity in geographical information system (GIS) environment. We analyzed the severity and occurring sizes of soil salinity, sodicity, and HSS with regard to specified soil types and land cover. Results indicated that the models' accuracy was improved by combining the reflectance bands and spectral indices that were mathematically transformed. Therefore, our results stipulated that the OLI imagery and PLSR method applied to mapping soil salinity and sodicity in the region. The mapping results revealed that the areas of soil salinity, sodicity, and HSS were 1.61 +/- 106 hm(2), 1.46 +/- 106 hm(2), and 1.36 +/- 106 hm(2), respectively. Also, the occurring area of moderate and intensive sodicity was larger than that of salinity. This research may underpin efficiently mapping regional salinity/sodicity occurrences, understanding the linkages between spectral reflectance and ground measurements of soil salinity and sodicity, and provide tools for soil salinity monitoring and the sustainable utilization of land resources.
内容类型	期刊论文
源URL	[http://ir.iga.ac.cn/handle/131322/8850]
专题	东北地理与农业生态研究所_湿地生态系统管理学科组_期刊论文
推荐引用方式 GB/T 7714	H. Yu, M. Y. Liu, B. J. Du, Z. M. Wang, L. J. Hu and B. Zhang. Mapping Soil Salinity/Sodicity by using Landsat OLI Imagery and PLSR Algorithm over Semiarid West Jilin Province, China[J]. Sensors,2018,18(4).
APA	H. Yu, M. Y. Liu, B. J. Du, Z. M. Wang, L. J. Hu and B. Zhang.(2018).Mapping Soil Salinity/Sodicity by using Landsat OLI Imagery and PLSR Algorithm over Semiarid West Jilin Province, China.Sensors,18(4).
MLA	H. Yu, M. Y. Liu, B. J. Du, Z. M. Wang, L. J. Hu and B. Zhang."Mapping Soil Salinity/Sodicity by using Landsat OLI Imagery and PLSR Algorithm over Semiarid West Jilin Province, China".Sensors 18.4(2018).