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References
Ali S, Tong D, Xu Z, Henchiri M, Wilson K, Siqi S, Zhang J (2019). Characterization of drought monitoring events through MODIS- and TRMM-based DSI and TVDI over South Asia during 2001-2017. In: Environmental Science and Pollution Research International 26(32):33568-33581. |
|
Angearu CV, Ontel I, Boldeanu G, Mihailescu D, Nertan A, Craciunescu V, Catana S, Irimescu A (2020). Multi-temporal analysis and trends of the drought based on MODIS data in agricultural areas, Romania. In: Remote Sensing 12(23):3940. |
|
Anyamba A, Tucker CL (2012). Historical perspective of AVHRR NDVI and vegetation drought monitoring. In: Remotes sensing of drought: Innovative monitoring approaches 23. |
|
Buchhorn M, Smets B, Bertels L, Roo B, Lesiv M, Tsendbazar N (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe. |
|
Dalezios N, Gobin A, Tarquis A, Eslamian S (2017). Agricultural Drought Indices: Combining Crop, Climate, and Soil Factors. Handbook of Drought and Water Scarcity: Principles of Drought and Water Scarcity. |
|
Du T, Bui D, Nguyen M, Lee H (2018). Satellite-Based, Multi-Indices for Evaluation of Agricultural Droughts in a highly dynamic tropical catchment, Central Vietnam. Water 10(5):659. |
|
Engelhardt M (2021). Spatial Analysis of Precipitation Time Series over the Okavango-Omatako River Basin based on Reanalysis Data. Unpublished bachelor thesis Department of Cartography, GIS & Remote Sensing; Georg-August-Universität Göttingen (GAU), Germany. |
|
Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S, Husak G, Rowland J, Harrison L, Hoell, Michaelsen J (2015). The climate hazards infrared precipitation with stations - a new environmental record for monitoring extremes. Scientific Data, 2, 150066, 2015a. |
|
Gao F, Zhang Y, Ren X, Yao Y, Hao Z, Cai W (2018). Evaluation of CHIRPS and its application for drought monitoring over the Haihe River Basin, China. Natural Hazards pp. 1-18. |
|
Gidey E, Dikinya O, Sebego R, Segosebe E, Zenebe A (2018). Analysis of the long- term agricultural drought onset, cessation, duration, frequency, severity and spatial extent using Vegetation Health Index (VHI). Raya and its environs, Northern Ethiopia. Environmental Systems Research 7(1):1-18. |
|
Haroon MA, Zhang J, Yao F (2016). Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan. Natural Hazards 84(2):1349-1366. |
|
Huete A, Didan K, Leeuwen W, Miura T (2011). MODIS Vegetation Indices. In: Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS. |
|
Hulley G, Malakar N, Freepartner R (2016). Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity Product (MxD21). Algorithm Theoretical Basis Document Land Surface; JPL Publication. Available at: |
|
Karnagel A (2020). A comparative Analysis of Drought Indices for Namibia - A Multi-Scale Drought Monitoring Approach. Unpublished master's thesis Department of Cartography, GIS & Remote Sensing; Georg-August-Universität Göttingen (GAU), Germany. |
|
Karnieli A, Agam N, Pinker RT, Anderson M, Imhoff ML, Gutman GG, Goldberg A (2010). Use of NDVI and land surface temperature for drought assessment: Merits and limitations. Journal of Climate 23(3):618-633. |
|
Karnieli A, Bayasgalan M, Bayarjargal Y, Agam N, Khudulmur S, Tucker CJ (2006). Comments on the use of the vegetation health index over Mongolia. International Journal of Remote Sensing 27(10):2017-2024. |
|
Keyantash J, Dracup JA (2002). The quantification of drought: an evaluation of drought indices. Bulletin of the American Meteorological Society 83:1167-1180. |
|
Kim Y, Lee SB, Yun H, Kim J, Park Y (2017). A Drought analysis method based on MODIS satellite imagery and AWS Data. IEEE, pp. 4862-4865. |
|
Kogan FN (1995): Application of vegetation index and brightness temperature for drought detection. Advances in Space Research 15(11):91-100. |
|
Liu X, Zhou J (2021). Assessment of the Continuous Extreme Drought Events in Namibia during the last decade. Water 13(20):2942. |
|
Lu Y, Tao H, H Wu (2007). Dynamic Drought Monitoring in Guangxi Using Revised Temperature Vegetation Dryness Index. Wuhan University Journal of Natural Sciences 12(4):663-668. |
|
Luetkemeier R, Stein L, Drees L, Liehr S (2017). Blended Drought Index: Integrated Drought Hazard Assessment in the Cuvelai-Basin. Climate 5(51). |
|
McKee TB, Doesken NJ, Kleist J (1993). The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology 17(22):179-183. |
|
Mendelsohn J (2002). Atlas of Namibia. A portrait of the land and its people. New Africa Books Limited. |
|
Mendelsohn J (2009). Atlas of Namibia. A portrait of the land and its people. 3 edition. Cape Town: Sunbird Publication. |
|
Mishra AK, Singh VP (2010). A review of drought concepts. Journal of Hydrology 391(1-2):202-216. |
|
Mu Q, Zhao M, Kimball JS, Mcdowell N, Running S (2013). A Remotely Sensed Global Terrestrial Drought Severity Index. Bulletin of the American Meteorological Society 94(1):83-98. |
|
Mukherjee S, Mishra A, Trenberth KE (2018). Climate change and drought: A perspective on drought indices. Current Climate Change Reports 4(2):145-163. |
|
Naumann G, Dutra E, Barbosa P, Pappenberger F, Wetterhall F, Vogt JV (2014). Comparison of drought indicators derived from multiple data sets over Africa. Hydrology and Earth System Sciences 18. |
|
Persendt FC (2009). Drought risk analysis using remote sensing and GIS in the Oshikoto region of Namibia. Dissertation, University of KwaZulu-Natal. |
|
Polk MH, Mishra NB, Young KR, Mainali K (2020). Grening and Browning Trends across Peru's Diverse Environments. Remote Sensing 12(15):2418. |
|
Rensburg P, Tortajada C (2021). An Assessment of the 2015-2017 Drought in Windhoek. In: Frontiers in Climate 3:602962. |
|
Republic of Botswana (2012). Population of Towns, Villages and associated localities. Department of Government Printing and Publishing Services. Gabarone. |
|
Rivera JA, Hinrichs S, Marianetti G (2019). Using CHIRPS Dataset to assess wet and dry conditions along the semi-arid central-western Argentina. Advances in Meteorology pp. 1-18. |
|
Running SW, Mu Q, Zhao M, Moreno A (2019). MODIS Global Terrestrial Evapotranspiration (ET) Product (MOD16A2/A3 and Year-end Gap-filled MOD16A2GF/A3GF) NASA Earth Observing System MODIS Land algorithm (for collection 6). |
|
Sánchez N, González-Zamora Á, Piles M, Martínez-Fernández J (2016). A New Soil Moisture Agricultural Drought Index (SMADI) Integrating MODIS and SMOS Products. A Case Study over the Iberian Peninsula. Remote Sensing 8(4):287. |
|
Sandeep P, Reddy GP, Jegankumar R, Kumar KC (2020). Monitoring of agricultural drought in semi-arid ecosystems of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets. Ecological Indicators 121:107033. |
|
Sandholt I, Rasmussen K, Andersen J (2002). A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment 79(2-3):213-224. |
|
Sardooi ER, Azareh A, Dameneh HE (2021). Drought monitoring using MODIS Land Surface Products and Normalized Difference Vegetation Index in semi-arid areas of Iran. Journal of Rangeland Science 11(4). |
|
Scott RL, Huxman TE, Barron-Gafford GA, Jenerette GD, Young JM, Hamerlynck EP (2014). When Vegetation Change Alters Ecosystem Water Availability. Global Change Biology 20(7):2198-2210. |
|
Shikangalah RN (2020). The 2019 Drought in Namibia: An Overview. Journal of Namibian Studies 27:37-58. |
|
Solangi GS, Siyal AA, Siyal P (2019). Spatiotemporal dynamics of land surface temperature and its impact on the vegetation. Civil Engineering Journal 5(8):1753-1763. |
|
Souza AG, Neto AR, de Souza LL (2021): Soil moisture-based index for agricultural drought assessment: SMADI application in Pernambuco State-Brazil. In: Remote Sensing of Environment 252:112124. |
|
Tadesse T (2016). Strategic Framework for drought management and enhancing resilience in Africa; Available at: |
|
Tao L, Ryu D, Western A, Boyd D (2021). A new drought index for soil moisture monitoring based on MPDI-NDVI trapezoid space using MODIS data. Remote Sensing 13(1):122. |
|
Tesfaye A, Tsegaye T, Berhan G (2021). Spatial and temporal trends and variability of rainfall using long-term satellite products over the Upper Blue Nile Basin. Remote Sensing in Earth Systems Sciences 4(3):199-2015. |
|
Thenkabail P, Gamage M, Smakhtin V (2004). The Use of Remote Sensing Data for Drought Assessment and Monitoring in Southwest Asia. In: Research Report 85. International Water Management Institute. Colombo. |
|
Thompson S (2021). The effect of long-term climatic trends on vegetation phenology of Namibia's forests and woodlands. Unpublished master's thesis - Namibia University of Science and Technology (NUST). |
|
Tucker C (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8(2):127-150. |
|
Urban M, Berger C, Mudau TE, Heckel K, Truckenbrodt J, Onyango V, Smit I, Schmullius C (2018). Surface Moisture and Vegetation Cover Analysis for Drought Monitoring in the Southern Kruger National Park Using Sentinel-1, Sentinel-2, and Landsat-8. Remote Sensing 10(9):1482. |
|
Vallejo OM, Negussie KG (2019). Temporal statistical analysis and predictive modelling of drought and flood in Rundu-Namibia. Climate Dynamics 53(3):1248-1260. |
|
Varghese D, Radulovi'c M, Stojkovi'c S, Crnojevi' V (2021). Reviewing the Potential of Sentinel-2 in Assessing the Drought. Remote Sensing 13(17):3355. |
|
Vova O, Kappas M, Emam AR (2019). Comparison of satellite soil moisture products in Mongolia and their relation to grassland condition. Land 8(9):142. |
|
West H, Quinn N, Horswell M (2019]. Remote Sensing for drought monitoring and impact assessment: Progress, past challenges and future opportunities. Remote Sensing of the Environment 232:1-14. |
|
Winkler K, Gessner U, Hochschild V (2017). Identifying Droughts Affecting Agriculture in Africa Based on Remote Sensing Time Series between 2000-2016: Rainfall Anomalies and Vegetation Condition in the Context of ENSO. Remote Sensing 9(8):831. |
|
Zargar A, Sadiq R, Naser B, Khan FI (2011). A review of drought indices; In: Environmental Reviews 19(NA):333-349. |
|
Zhang X, Yamaguchi Y, Li F, He B, Chen Y (2017). Assessing the impacts of the 2009/2010 Drought on vegetation indices, normalized difference water index, and land surface temperature in southwestern China. Advances in Meteorology pp. 1-9. |
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