African Journal of
Environmental Science and Technology

  • Abbreviation: Afr. J. Environ. Sci. Technol.
  • Language: English
  • ISSN: 1996-0786
  • DOI: 10.5897/AJEST
  • Start Year: 2007
  • Published Articles: 1126

Full Length Research Paper

A comparative analysis of MODIS-derived drought indices for Northern and Central Namibia

Wyss Daniel
  • Wyss Daniel
  • Department of Cartography, Faculty of Geoscience and Geography, GIS and Remote Sensing, Georg-August-Universitat Gottingen (GAU), Germany.
  • Google Scholar
Negussie Kaleb
  • Negussie Kaleb
  • Department of Geo-Spatial Sciences and Technology, Faculty of Natural Resources and Spatial Sciences, Namibia University of Science and Technology (NUST), Namibia.
  • Google Scholar
Staacke Antonia
  • Staacke Antonia
  • Department of Cartography, Faculty of Geoscience and Geography, GIS and Remote Sensing, Georg-August-Universitat Gottingen (GAU), Germany.
  • Google Scholar
Karnagel Amadé
  • Karnagel Amadé
  • Department of Cartography, Faculty of Geoscience and Geography, GIS and Remote Sensing, Georg-August-Universitat Gottingen (GAU), Germany.
  • Google Scholar
Engelhardt Malin
  • Engelhardt Malin
  • Department of Cartography, Faculty of Geoscience and Geography, GIS and Remote Sensing, Georg-August-Universitat Gottingen (GAU), Germany.
  • Google Scholar
Kappas Martin
  • Kappas Martin
  • Department of Cartography, Faculty of Geoscience and Geography, GIS and Remote Sensing, Georg-August-Universitat Gottingen (GAU), Germany.
  • Google Scholar


  •  Received: 01 February 2022
  •  Accepted: 04 May 2022
  •  Published: 31 May 2022

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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:

View

 

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.
Crossref

 

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.
Crossref

 

Keyantash J, Dracup JA (2002). The quantification of drought: an evaluation of drought indices. Bulletin of the American Meteorological Society 83:1167-1180.
Crossref

 

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.
Crossref

 

Kogan FN (1995): Application of vegetation index and brightness temperature for drought detection. Advances in Space Research 15(11):91-100.
Crossref

 

Liu X, Zhou J (2021). Assessment of the Continuous Extreme Drought Events in Namibia during the last decade. Water 13(20):2942.
Crossref

 

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.
Crossref

 

Luetkemeier R, Stein L, Drees L, Liehr S (2017). Blended Drought Index: Integrated Drought Hazard Assessment in the Cuvelai-Basin. Climate 5(51).
Crossref

 

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.
Crossref

 

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.
Crossref

 

Mukherjee S, Mishra A, Trenberth KE (2018). Climate change and drought: A perspective on drought indices. Current Climate Change Reports 4(2):145-163.
Crossref

 

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.
Crossref

 

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.
Crossref

 

Rensburg P, Tortajada C (2021). An Assessment of the 2015-2017 Drought in Windhoek. In: Frontiers in Climate 3:602962.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

Tadesse T (2016). Strategic Framework for drought management and enhancing resilience in Africa; Available at:

View

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

Vallejo OM, Negussie KG (2019). Temporal statistical analysis and predictive modelling of drought and flood in Rundu-Namibia. Climate Dynamics 53(3):1248-1260.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

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.
Crossref

 

Zargar A, Sadiq R, Naser B, Khan FI (2011). A review of drought indices; In: Environmental Reviews 19(NA):333-349.
Crossref

 

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.
Crossref