Soil Moisture in the Biebrza Wetlands Retrieved from Sentinel-1 Imagery

被引:60
|
作者
Dabrowska-Zielinska, Katarzyna [1 ]
Musial, Jan [1 ]
Malinska, Alicja [1 ]
Budzynska, Maria [1 ]
Gurdak, Radoslaw [2 ]
Kiryla, Wojciech [1 ]
Bartold, Maciej [2 ]
Grzybowski, Patryk [1 ]
机构
[1] Inst Geodesy & Cartog, Jacka Kaczmarskiego 27, PL-02679 Warsaw, Poland
[2] Univ Warsaw, Fac Geog & Reg Studies, Dept Geoinformat Cartog & Remote Sensing, Krakowskie Przedmiescie 30, PL-00927 Warsaw, Poland
来源
REMOTE SENSING | 2018年 / 10卷 / 12期
关键词
Sentinel-1; backscatter; polarization; Terra MODIS; NDVI; soil moisture; SYNTHETIC-APERTURE RADAR; LEAF-AREA INDEX; SAR DATA; ALGORITHM;
D O I
10.3390/rs10121979
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The objective of the study was to estimate soil moisture (SM) from Sentinel-1 (S-1) satellite images acquired over wetlands. The study was carried out during the years 2015-2017 in the Biebrza Wetlands, situated in north-eastern Poland. At the Biebrza Wetlands, two Sentinel-1 validation sites were established, covering grassland and marshland biomes, where a network of 18 stations for soil moisture measurement was deployed. The sites were funded by the European Space Agency (ESA), and the collected measurements are available through the International Soil Moisture Network (ISMN). The SAR data of the Sentinel-1 satellite with VH (vertical transmit and horizontal receive) and VV (vertical transmit and vertical receive) polarization were applied to SM retrieval for a broad range of vegetation and soil moisture conditions. The methodology is based on research into the effect of vegetation on backscatter (sigma degrees) changes under different soil moisture and Normalized Difference Vegetation Index (NDVI) values. The NDVI was derived from the optical imagery of a MODIS (Moderate Resolution Imaging Spectroradiometer) sensor onboard the Terra satellite. It was found that the state of the vegetation expressed by NDVI can be described by the indices such as the difference between sigma degrees VH and VV, or the ratio of sigma degrees VV/VH, as calculated from the Sentinel-1 images in the logarithmic domain. The most significant correlation coefficient for soil moisture was found for data that was acquired from the ascending tracks of the Sentinel-1 satellite, characterized by the lowest incidence angle, and SM at a depth of 5 cm. The study demonstrated that the use of the inversion approach, which was applied to the newly developed models using Water Cloud Model (WCM) that includes the derived indices based on S-1, allowed the estimation of SM for wetlands with reasonable accuracy (10 vol. %). The developed soil moisture retrieval algorithms based on S-1 data are suited for wetland ecosystems, where soil moisture values are several times higher than in agricultural areas.
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页数:24
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