Open Access
| Issue |
E3S Web Conf.
Volume 527, 2024
The 4th Edition of Oriental Days for the Environment “Green Lab. Solution for Sustainable Development” (JOE4)
|
|
|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 5 | |
| Section | Environmental Pollution & Health Risks | |
| DOI | https://doi.org/10.1051/e3sconf/202452702012 | |
| Published online | 24 May 2024 | |
- B.W. Pengra, S.V. Stehman, J.A. Horton, D.J. Dockter, T.A. Schroeder, Z. Yang, W.B. Cohen, S.P. Healey, T.R. Loveland, Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program. Remote Sens. Environ. 238, 111261 (2020). https://doi.org/10.1016/j.rse.2019.111261 [CrossRef] [Google Scholar]
- J.K. Friedel, T. Langer, C. Siebé, K. Stahr, Effects of long-term waste water irrigation soil organic matter, soil microbial biomass its activities in central Mexico. Biol. Fertil. Soils 31, 414–21 (2000). https://doi.org/10.1007//s003749900188 [CrossRef] [Google Scholar]
- P. Potapov, M.C. Hansen, A. Pickens, A. Hernandez-Serna, A. Tyukavina, S. Turubanoval, Viviana Zalles, X. Li, A. Khan, F. Stolle, N. Harris, X.P. Song, A. Baggett, I. Kommareddy, A. Kommareddy, The Global 2000–2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results. Front. Remote Sens. 3, 1–22 (2022). https://doi:10.3389/frsen.2022.856903. [CrossRef] [Google Scholar]
- J.E. Vogelmann, A.L. Gallant, H. Shi, Z. Zhu, Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data Remote Sens. Environ. 185, 258–70 (2016). https://doi.org/10.1016/j.rse.2016.02.060 [Google Scholar]
- V.F. Rodriguez-Galiano, M. Chica-Olmo, F. Abarca-Hernandez, P.M. Atkinson, C. Jeganathan, Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture. Remote Sens. Environ. 121, 93–107 (2012). https://doi.org/10.1016/j.rse.2011.12.003 [CrossRef] [Google Scholar]
- J. Kumar, B. Biswas, S. Walker, Multi-temporal LULC Classification using Hybrid Approach and Monitoring Built-up Growth with Shannon’s Entropy for a Semi-arid Region of Rajasthan, India. J. Geol. Soc. India. 95, 626–35 (2020). https://doi.org/10.1007/s12594-020-1489-x [CrossRef] [Google Scholar]
- L. Zhang, Z. Liu, T. Ren, D. Liu, Z. Ma, L. Tong, Identification of Seed Maize Fields With High Spatial Resolution and Multiple Spectral Remote Sensing Remote Sens. 121–19 (2020). https://doi.org/10.3390/rs12030362 [Google Scholar]
- J. Wang, Y. Feng, R. Wang, X. Tong, S. Chen, Z. Lei, P. Li, M. Xi, Evaluation of typhoon-induced inundation losses associated with LULC using multi-temporal SAR and optical images. Geomatics, GEOMAT. NAT. HAZ. RISK, 13(1), 2227–2251 (2022). https://doi.org/10.1080/19475705.2022.2112624. [CrossRef] [Google Scholar]
- E. Hansen, A. Barto, S. Zilberstein, Reinforcement Learning for Mixed open-loop and closed-loop control. Advances in Neural Information Processing Systems, 9 (1996). [Google Scholar]
- Z.J. Wang, S.J. Liu, J.H. Li, C. Pan, J.L. Wu, J. Ran, Y. Su, Remarkable improvement of ecosystem service values promoted by land use/land cover changes on the Yungui Plateau of China during 2001–2020. Ecol. Indic. 142, 109303 (2022). https://doi.org/10.1016/j.ecolind.2022.109303 [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.