DOI: 10.1016/j.jag.2016.05.009
Scopus记录号: 2-s2.0-84997610348
论文题名: Towards decadal soil salinity mapping using Landsat time series data
作者: Fan X ; , Weng Y ; , Tao J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 32
结束页码: 41
语种: 英语
英文关键词: Landsat
; PLSR
; Sensor intercalibration
; Soil salinization
; Temporal variation
; Yellow River Delta
Scopus关键词: calibration
; Landsat thematic mapper
; least squares method
; mapping
; salinity
; salinization
; satellite data
; soil property
; temporal variation
; China
; Shandong
; Yellow River Delta
英文摘要: Salinization is one of the major soil problems around the world. However, decadal variation in soil salinization has not yet been extensively reported. This study exploited thirty years (1985–2015) of Landsat sensor data, including Landsat-4/5 TM (Thematic Mapper), Landsat-7 ETM+ (Enhanced Thematic Mapper Plus) and Landsat-8 OLI (Operational Land Imager), for monitoring soil salinity of the Yellow River Delta, China. The data were initially corrected for atmospheric effects, and then matched the spectral bands of EO-1 (Earth Observing One) ALI (Advanced Land Imager). Subsequently, soil salinity maps were derived with a previously developed PLSR (Partial Least Square Regression) model. On intra-annual scale, the retrievals showed that soil salinity increased in February, stabilized in March, and decreased in April. On inter-annual scale, soil salinity decreased within 1985–2000 (−0.74 g kg−1/10a, p < 0.001), and increased within 2000–2015 (0.79 g kg−1/10a, p < 0.001). Our study presents a new perspective for use of multiple Landsat data in soil salinity retrieval, and further the understanding of soil salinization development over the Yellow River Delta. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80061
Appears in Collections: 气候变化事实与影响
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作者单位: Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, No. 73 East Beijing Road, Nanjing, China; Key Laboratory of Watershed Geographic Sciences, Chinese Academy of Sciences, No. 73 East Beijing Road, Nanjing, China; Department of Surveying Engineering, School of Transportation, Southeast University, No. 2 Sipailou, Nanjing, China; Jiangsu Provincial Bureau of Surveying and Mapping, No. 75 West Beijing Road, Nanjing, China
Recommended Citation:
Fan X,, Weng Y,, Tao J. Towards decadal soil salinity mapping using Landsat time series data[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52