Open Access
| Issue |
BIO Web Conf.
Volume 211, 2026
International Conference on Water Resources and Environmental Studies (ICWES 2025)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/bioconf/202621101006 | |
| Published online | 15 January 2026 | |
- Oukaddour, K., Le Page, M., Fakir, Y.: Toward a Redefinition of Agricultural Drought Periods—A Case Study in a Mediterranean Semi-Arid Region. Remote Sensing. 16, 83 (2024). https://doi.org/10.3390/rs16010083 [Google Scholar]
- Bijaber, N., El Hadani, D., Saidi, M., Svoboda, M.D., Wardlow, B.D., Hain, C.R., Poulsen, C.C., Yessef, M., Rochdi, A.: Developing a Remotely Sensed Drought Monitoring Indicator for Morocco. Geosciences. 8, 55 (2018). https://doi.org/10.3390/geosciences8020055 [Google Scholar]
- Huete, A., Didan, K., Miura, T., Rodriguez, E., Gao, X., Ferreira, L.G.: Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices. Remote Sensing of Environment. 83, 195–213 (2002). https://doi.org/10.1016/S0034-4257(02)00096-2 [Google Scholar]
- Tandel, H., Shinde, V., Sonwane, A., Dhakad, S.: Surface Soil Moisture Estimation Using Remote Sensing: Integration of Sentinel-1 and Landsat-8 Data. (2025) [Google Scholar]
- Maxwell, A.E., Warner, Timothy A., and Fang, F.: Implementation of machine-learning classification in remote sensing: an applied review. International Journal of Remote Sensing. 39, 2784–2817 (2018). https://doi.org/10.1080/01431161.2018.1433343 [Google Scholar]
- Adrah, E., Wong, J., Yin, H.: Integrating GEDI, Sentinel-2, and Sentinel-1 imagery for tree crops mapping. Remote Sensing of Environment. (2025). https://doi.org/10.1016/j.rse.2025.114644 [Google Scholar]
- Nassah, H., Zitouni, A., Tibssirte, O., Daghor, L., Chatoui, H., Midhat, L.: Irrigation water needs analysis and management strategies in the Tadla irrigation zone: A case study of sugar beet plots. Ecological Engineering & Environmental Technology. 26, 50–58 (2025). https://doi.org/10.12912/27197050/200563 [Google Scholar]
- Posa, S., Patil, S., Selvi, R., Sridarane, S., Murugananthi, D., Arunadevi, K.: Climate change impacts on agriculture and forests: Analytical methods review. Plant Science Today. (2025). https://doi.org/10.14719/pst.9497 [Google Scholar]
- Caballero, G.R., Platzeck, G., Pezzola, A., Casella, A., Winschel, C., Silva, S.S., Luduena, E., Pasqualotto, N., Delegido, J.: Assessment of Multi-Date Sentinel-1 Polarizations and GLCM Texture Features Capacity for Onion and Sunflower Classification in an Irrigated Valley: An Object Level Approach. Agronomy. 10, 845 (2020). https://doi.org/10.3390/agronomy10060845 [Google Scholar]
- Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W.: Monitoring vegetation systems in the Great Plains with ERTS. Third Earth Resources Technology Satellite-1 Symposium. NASA Sp-351 I, Greenbelt, Maryland. USA. 351, 09–317 (1973) [Google Scholar]
- Qi, J., Chehbouni, A., Huete, A.R., Kerr, Y.H., Sorooshian, S.: A modified soil adjusted vegetation index. Remote Sensing of Environment. 48, 119–126 (1994). https://doi.org/10.1016/0034-4257(94)90134-1 [Google Scholar]
- Wilson, E.H., Sader, S.A. : Detection of forest harvest type using multiple dates of Landsat TM imagery. Remote Sensing of Environment. 80, 385–396 (2002). https://doi.org/10.1016/S0034-4257(01)00318-2 [Google Scholar]
- Gao, B.: NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment. 58, 257–266 (1996). https://doi.org/10.1016/S0034-4257(96)00067-3 [Google Scholar]
- Mountrakis, G., Im, J., Ogole, C.: Support vector machines in remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing. 66, 247–259 (2011). https://doi.org/10.1016/j.isprsjprs.2010.11.001 [Google Scholar]
- Khatami, R., Mountrakis, G., Stehman, S.V.: A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research. Remote Sensing of Environment. 177, 89–100 (2016). https://doi.org/10.1016/j.rse.2016.02.028 [Google Scholar]
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