- Article
(13958 KB) - Metadata XML
- October 31, 2025
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
- |
- 𝕏
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-G-2025
https://doi.org/10.5194/isprs-annals-X-G-2025-1061-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-X-G-2025-1061-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
14 Jul 2025
| 14 Jul 2025
Long-term algal blooms mapping and crucial driving factors analysis based on Landsat series imagery in Lake Victoria (2001–2021)
Daiqi Zhong
College of Surveying and Geo-Informatics, Tongji University, 200092 Shanghai, China
Research Centre for Remote Sensing Technology and Application, Tongji University, 200092 Shanghai, China
Yi Lin
College of Surveying and Geo-Informatics, Tongji University, 200092 Shanghai, China
Research Centre for Remote Sensing Technology and Application, Tongji University, 200092 Shanghai, China
Jie Yu
College of Surveying and Geo-Informatics, Tongji University, 200092 Shanghai, China
Research Centre for Remote Sensing Technology and Application, Tongji University, 200092 Shanghai, China
Chen Gao
College of Surveying and Geo-Informatics, Tongji University, 200092 Shanghai, China
Research Centre for Remote Sensing Technology and Application, Tongji University, 200092 Shanghai, China
College of Surveying and Geo-Informatics, Tongji University, 200092 Shanghai, China
Research Centre for Remote Sensing Technology and Application, Tongji University, 200092 Shanghai, China
Yufei Song
College of Surveying and Geo-Informatics, Tongji University, 200092 Shanghai, China
Research Centre for Remote Sensing Technology and Application, Tongji University, 200092 Shanghai, China
Yuxuan Yang
College of Surveying and Geo-Informatics, Tongji University, 200092 Shanghai, China
Research Centre for Remote Sensing Technology and Application, Tongji University, 200092 Shanghai, China
Xin Chen
College of Surveying and Geo-Informatics, Tongji University, 200092 Shanghai, China
Research Centre for Remote Sensing Technology and Application, Tongji University, 200092 Shanghai, China
Related authors
Xin Chen, Jie Yu, Yi Lin, Daiqi Zhong, Yuxuan Yang, Yu Rong, Tinghui Zhang, Chen Gao, Hongtao Wang, and Junbo Lv
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 281–286, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-281-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-281-2025, 2025
Nai Wei, Yi Lin, Jie Yu, and Yuxuan Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1551–1558, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1551-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1551-2025, 2025
Xin Chen, Jie Yu, Yi Lin, Daiqi Zhong, Yuxuan Yang, Yu Rong, Tinghui Zhang, Chen Gao, Hongtao Wang, and Junbo Lv
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 281–286, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-281-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-281-2025, 2025
Y. Lin, C. Gao, X. Li, T. Zhang, J. Yu, Y. Rong, L. Li, X. Zhou, J. Cai, and N. Sneeuw
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 443–450, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-443-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-443-2023, 2023
Y. Lin, L. Li, L. Wei, L. Liu, and J. Yu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1417–1423, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1417-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1417-2023, 2023
D. Zhong, L. He, and Y. Lin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 295–301, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-295-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-295-2023, 2023
Q. Ye, X. Zhang, Y. Lin, and J. Jian
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 325–332, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-325-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-325-2022, 2022
Y. Lin, Y. Rong, J. Yu, H. C. Zhang, and L. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 127–134, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-127-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-127-2022, 2022
Y. Lin, G. Xie, T. Zhang, J. Yu, H. Zhang, and J. Cai
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 247–253, https://doi.org/10.5194/isprs-annals-V-3-2022-247-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-247-2022, 2022
Y. Lin, T. Zhang, K. Qian, G. Xie, and J. Cai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 45–49, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-45-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-45-2020, 2020
Y. Lin, W. J. Li, J. Yu, and C. Z. Wu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1015–1021, https://doi.org/10.5194/isprs-archives-XLII-3-1015-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1015-2018, 2018
Q. Ye, H. Liu, Y. Lin, and R. Han
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2127–2133, https://doi.org/10.5194/isprs-archives-XLII-3-2127-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2127-2018, 2018
T. H. Zhang, H. W. Ji, Y. Hu, Q. Ye, and Y. Lin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2297–2302, https://doi.org/10.5194/isprs-archives-XLII-3-2297-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2297-2018, 2018
Yi Lin, Zhanglin Ye, Yugan Zhang, and Jie Yu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 91–98, https://doi.org/10.5194/isprs-archives-XLI-B7-91-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-91-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org