1. 基于Sentinel-2A 影像的OPTRAM 模型及其改进模型的土壤水分估算研究
- Author
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朱燕香, 潘剑君, 白浩然, and 康翔
- Subjects
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NORMALIZED difference vegetation index , *SOIL moisture , *STATISTICAL correlation - Abstract
[Objectives]This study was to explore the applicability of the OPTICAL TRApezoid Model( OPTRAM) for soil moisture estimation in Nanjing Luhe District utilizing Sentinel-2 image data, and increase the soil moisture retrieval accuracy through utilizing the improved OPTRAM. [ Methods] Normalized difference vegetation index ( NDVI) in the OPTRAM was replaced with the photosynthetic vegetation coverage, which was obtained by the NDVI-DFI model decomposing the mixed-pixel of Sentinel-2A image. [Results]The inversion effect of OPTRAM soil moisture(R2 =0.38)was similar to the fitting result of TVDI method(R2 =0.39), and the characteristic spatial distribution was trapezoidal; the NDVI-DFI model was separable in Nanjing; the spatial distribution of STR-Fpv of the improved OPTRAM model conformed to the distribution characteristics of the basic model. The correlation coefficient of the improved model with the measured 10 cm soil moisture increased to 0.55. [Conclusions]The OPTRAM had a great feasibility on the retrieval of soil moisture in Luhe District of Nanjing. The improved OPTRAM model based on the NDVI-DFI model could improve the retrieval accuracy, which also could be applied to other related models in the future. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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