Remote Sensing Technology and Application, Volume. 39, Issue 5, 1064(2024)
Research on Optical Characterization and Remote Sensing Identification of Typical Black and Odorous Water in Rural Areas
Fig. 2. Spectral absorption coefficients of total particulate matter
Fig. 3. Spectral absorption coefficients of non-phytoplankton particulate matter
Fig. 4. Spectral absorption coefficients of phytoplankton pigments
Fig. 11. Remote sensing recognition recognition of black and odorous water body images and results
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Li FU, Ge LIU, Kaishan SONG, Yongjin CHEN. Research on Optical Characterization and Remote Sensing Identification of Typical Black and Odorous Water in Rural Areas[J]. Remote Sensing Technology and Application, 2024, 39(5): 1064
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Received: May. 29, 2023
Accepted: --
Published Online: Jan. 7, 2025
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