- Article
(1200 KB) - Metadata XML
- December 22, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-3-2020
https://doi.org/10.5194/isprs-annals-V-3-2020-33-2020
© Author(s) 2020. 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-V-3-2020-33-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
03 Aug 2020
| 03 Aug 2020
A NEW INDEX FOR IDENTIFYING WATER BODY FROM SENTINEL-2 SATELLITE REMOTE SENSING IMAGERY
W. Jiang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, China
Y. Ni
Sichuan Highway Planning, survey, Design and Research Institute Ltd, Sichuan, China
Z. Pang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, China
G. He
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
J. Fu
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, China
J. Lu
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, China
K. Yang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, China
T. Long
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
T. Lei
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, China
Related authors
Wei Jiang, Fanping Kong, Xiaohui Ding, Elhadi Adam, Shiai Cui, and Gan Luo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 277–282, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-277-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-277-2024, 2024
Gan Luo, Wei Jiang, Lingjia Liu, Qingke Wen, Shuo Liu, and Weichao Sun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 463–468, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-463-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-463-2024, 2024
W. Qu, Y. Yao, Z. Pang, J. Lu, K. Yang, X. Li, L. Li, W. Jiang, J. Fu, and T. Lei
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 745–749, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-745-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-745-2020, 2020
T. J. Lei, R. R. Xu, J. H. Cheng, W. L. Song, W. Jiang, W. Qu, J. X. Lu, and S. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 471–478, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-471-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-471-2020, 2020
Z. Pang, X. Qin, W. Jiang, J. Fu, K. Yang, J. Lu, W. Qu, L. Li, and X. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 395–399, https://doi.org/10.5194/isprs-annals-V-3-2020-395-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-395-2020, 2020
J. Fu, M. Wang, Z. Pang, W. Jiang, J. Lu, K. Yang, L. Li, X. Li, and W. Qu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 739–744, https://doi.org/10.5194/isprs-annals-V-3-2020-739-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-739-2020, 2020
J. Y. Sun, G. Z. Wang, G. J. He, D. C. Pu, W. Jiang, T. T. Li, and X. F. Niu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 641–648, https://doi.org/10.5194/isprs-archives-XLII-3-W10-641-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-641-2020, 2020
Wei Jiang, Fanping Kong, Xiaohui Ding, Elhadi Adam, Shiai Cui, and Gan Luo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 277–282, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-277-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-277-2024, 2024
Gan Luo, Wei Jiang, Lingjia Liu, Qingke Wen, Shuo Liu, and Weichao Sun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 463–468, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-463-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-463-2024, 2024
Miao Zhang, Bingfang Wu, Hongwei Zeng, Guojin He, Chong Liu, Shiqi Tao, Qi Zhang, Mohsen Nabil, Fuyou Tian, José Bofana, Awetahegn Niguse Beyene, Abdelrazek Elnashar, Nana Yan, Zhengdong Wang, and Yiliang Liu
Earth Syst. Sci. Data, 13, 4799–4817, https://doi.org/10.5194/essd-13-4799-2021, https://doi.org/10.5194/essd-13-4799-2021, 2021
Short summary
Short summary
Cropping intensity (CI) is essential for agricultural land use management, but fine-resolution global CI is not available. We used multiple satellite data on Google Earth Engine to develop a first 30 m resolution global CI (GCI30). GCI30 performed well, with an overall accuracy of 92 %. GCI30 not only exhibited high agreement with existing CI products but also provided many spatial details. GCI30 can facilitate research on sustained cropland intensification to improve food production.
W. Qu, Y. Yao, Z. Pang, J. Lu, K. Yang, X. Li, L. Li, W. Jiang, J. Fu, and T. Lei
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 745–749, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-745-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-745-2020, 2020
T. J. Lei, R. R. Xu, J. H. Cheng, W. L. Song, W. Jiang, W. Qu, J. X. Lu, and S. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 471–478, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-471-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-471-2020, 2020
Z. Pang, X. Qin, W. Jiang, J. Fu, K. Yang, J. Lu, W. Qu, L. Li, and X. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 395–399, https://doi.org/10.5194/isprs-annals-V-3-2020-395-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-395-2020, 2020
J. Fu, M. Wang, Z. Pang, W. Jiang, J. Lu, K. Yang, L. Li, X. Li, and W. Qu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 739–744, https://doi.org/10.5194/isprs-annals-V-3-2020-739-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-739-2020, 2020
J. Y. Sun, G. Z. Wang, G. J. He, D. C. Pu, W. Jiang, T. T. Li, and X. F. Niu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 641–648, https://doi.org/10.5194/isprs-archives-XLII-3-W10-641-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-641-2020, 2020
W. Jiang, G. He, T. Long, and Y. Ni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 669–672, https://doi.org/10.5194/isprs-archives-XLII-3-669-2018, https://doi.org/10.5194/isprs-archives-XLII-3-669-2018, 2018
W. Qu, N. Hu, J. Fu, J. Lu, H. Lu, T. Lei, Z. Pang, X. Li, and L. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1461–1465, https://doi.org/10.5194/isprs-archives-XLII-3-1461-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1461-2018, 2018
M. M. Wang, G. J. He, Z. M. Zhang, Z. J. Zhang, and X. G. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1747–1750, https://doi.org/10.5194/isprs-archives-XLII-3-1747-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1747-2018, 2018
J. Wu, X. Han, Y. Zhou, P. Yue, X. Wang, J. Lu, W. Jiang, J. Li, H. Tang, F. Wang, X. Li, and J. Fan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1879–1881, https://doi.org/10.5194/isprs-archives-XLII-3-1879-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1879-2018, 2018
Y. Ni, G. He, and W. Jiang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1301–1305, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1301-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1301-2017, 2017
W. Jiang, G. He, and Y. Ni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1307–1312, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1307-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1307-2017, 2017
Weili Jiao, Tengfei Long, Saiguang Ling, and Guojin He
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 305–312, https://doi.org/10.5194/isprs-archives-XLI-B2-305-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-305-2016, 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