- Rhee, J.; Im, J. and Carbone, G.J. 2010, Monitoring Agricultural Drought for Arid and Humid Regions Using Multi-Sensor Remote Sensing Data. Remote Sens. Environ, 114, 2875-2887.
- Mohammed, F. O., Mohammad, A. O., Ibrahim, H. S., & Hasan, R. A. (2021). Future Scenario of Global Climate Map Change according to the Köppen-Geiger Climate Classification. Baghdad Science Journal, 18(2 (Suppl.)), 1030–1030.
- Hirche, A.; Salamani, M.; Abdellaoui, A.; Benhouhou, S. and Valderrama, J.M. 2011, Landscape Changes of Desertification in Arid Areas: The Case of South-West Algeria." Environ Monitoring Assess 179, 403-420.
- [Ali, D.A.; Abdulrahman, N.M. and Rahem, B.R. 2023, Some Heavy Metals Status and Water quality parameters of Darbandikhan Dam, Sirwan and Tanjaro rivers. Kirkuk University Journal for Agricultural Sciences, 14, 131-150.
- Jasim, A. I., & Awchi, T. A. (2020). Regional meteorological drought assessment in Iraq. Arabian Journal of Geosciences, 13(7), 284.
- Hedres, I.H.; Khalaf, A.A. and Shihab, M.R. 2022, Using of SEBAL model for estimating net solar radiation and land surface temperature in the Dyala River Basin. Kirkuk University Journal for Agricultural Sciences, 13,48-61.
- Amalo L.F.; Hidayat, R. and Sulma, S. 2018, Analysis of agricultural drought using vegetation health index. Journal of Agricultural Science, 40, 63-73.
- Hamed, M. M., Sammen, S. S., Nashwan, M. S., & Shahid, S. (2023). Spatiotemporal variation of drought in Iraq for shared socioeconomic pathways. Stochastic Environmental Research and Risk Assessment, 37(4), 1321–1331.
- Tucker, C.J. 1979, Red and Photographic Infrared Linear Combinations for Monitoring Vegetation. Remote Sens. Environ, 8, 127-150.
- Peters, A.J.; Elizabeth, A.; Walther-Shea, L.J.; Vina, A.; Hayes, M. and Svoboda, M.D. 2002, Drought Monitoring with NDVI-Based Standardized Vegetation Index. Photogrammetric Engineering & Remote Sensing, 68, 71-75.
- McFeeters, S.K. 1996, The use of the normalized Difference Water Index (NDWI) in the delineation of open water features. Int. J. Remote Sensing 17, 1425-1432.
- Gao, B.C. 1996, NDWI A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space. Remote Sens. Environ, 58, 257-266.
- Zhang, N.; Hong, Y.; Qin, Q. and Zhu, L. 2013, Evaluation of the visible and shortwave infrared drought index in China Int. J. Disaster Risk Sci. 4, 68-76.
- Ali, K.D. 2024, Geospatial Technique Applications in Groundwater Investigation. Kirkuk University Journal for Agricultural Sciences, 15, 91-97.
- Younis, M.S. and Moustafa, S.M. 2018, Biodiversity Mix Natural Forest Distribution in Qara Mountain Region. Kirkuk University Journal for Agricultural Sciences, 9, 107-116.
- Yang, Y.; Wu, T.; Wang, S.; Li, J. and Muhanmmad, F. 2019, The NDVI-CV Method for Mapping Evergreen Trees in Complex Urban Areas using Reconstructed LANDSAT 8 Time-Series Data. Forests, 10, 139-149.
- Mishra, A.K.; Ines, A.V.; Das, N.N.; Khedun, C.P.; Singh, V.P,.; Sivakumar, B. and Hansen, J.W. 2015, Anatomy of a local-scale drought: Application of assimilated remote sensing products, crop model, and statistical methods to an agricultural drought study. Journal of Hydrology. 526, 15-29.
- Najmaddin, P.M.; Whelan, M.J. and Balzter, H. 2017, Estimating daily reference evapotranspiration in a semi-arid region using remote sensing data, Remote Sensing, 779, 1-20.
- Al-Quraishi, A. M. F., Qader, S. H., & Wu, W. (2019). Drought monitoring using spectral and meteorological based indices combination: A case study in Sulaimaniyah, Kurdistan region of Iraq. In Environmental remote sensing and GIS in Iraq (pp. 377–393). Springer. https://link.springer.com/chapter/10.1007/978-3-030-21344-2_15
- Pirotti, F.; Parraga, M.A.; Stuaro, E.; Dubbini, M.; Masiero, A. and Ramanzin, M. 2014, NDVI from Landsat 8 Vegetation Indices to Study Movement Dynamics of Capra ibex in Mountain Areas. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 40, 147-153.
- Spadoni, G.L.; Cavalli, A.; Congedo, L. and Munafo, M. 2020, Analysis of Normalized Difference Vegetation Index (NDVI) Multi-Temporal Series for the Production of Forest Cartography. Remote Sens. Appl. Soc. Environ. 20, 20-33.
- Andana, E.K. 2015, Pengembangan Data CitraSatelit Landsat 8 Untuk Pemetaan Area Tanaman Hortikultura Dengan Berbagai Metode Algoritma Indeks Vegetasi (Studi Kasus: Kabupaten Malang Dan Sekitarnya). Nas. Manaj. Teknol, 9, 1-10.
- Zeng, L.; Wardlow, B.D.; Xiang, D.; Hu, S. and Li, D. 2020, A Review of Vegetation Phenological Metrics Extraction Using Time-Series, Multispectral Satellite Data. Remote Sens. Environ, 237, 1-47.
- Sánchez-Ruiz, S.; Piles, M.; Sánchez, N.; Martínez-Fernández, J.; Vall-llossera, M. and Camps, A. 2014, Combining SMOS with Visible and Near/Shortwave/Thermal Infrared Satellite Data for High Resolution Soil Moisture Estimates. J. Hydrol. 516, 273-283.
- Ceccato, P.; Flasse, S.; Tarantola, S.; Jacquemoud, S. and Grégoire, J.M. 2001, Detecting Vegetation Leaf Water Content Using Reflectance in the Optical Domain. Remote Sens. Environ,77, 22-
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