期刊
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
卷 64, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jvcir.2019.102645
关键词
Landsat 8; Soil organic matter; Quantitative inversion; Remote sensing image
资金
- National Natural Science Foundation of China [41561049]
- Jiangxi Outstanding Youth Science Fund [20171BCB23049]
- Jiangxi Provincial Department of Education Science and Technology Project [GJJ150481]
- Jiangxi University of Finance and Economics 2018 Graduate Innovation Special Fund Project
Using GF-1 and Landsat8 remote sensing images as data sources, combined with the experimental data of wetland soil sampling in Anyi County and Gao'an Research Area, the ability and difference of two remote sensing images in inversion of soil organic matter content were compared. The results show that the reflectivity of the two remote sensing images in the visible and near-infrared bands is significantly correlated with the soil organic matter content, and the correlation is the most in the near-infrared band. The index model established by the near-infrared band of GF-1 is more than the near-infrared band using Landsat8. The power model estimates slightly better. The multi-regression model established by introducing the blue band (dark blue band) and red band has higher inversion precision than the single-band model, especially the improvement effect of Landsat8 remote sensing image. Compared with Landsat8, GF-1 remote sensing image has higher spatial resolution and shorter revisit period, and has similar predictive ability in detecting soil organic matter content, which can replace Landsat8 remote sensing image. (C) 2019 Elsevier Inc. All rights reserved.
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