294
Views
6
CrossRef citations to date
0
Altmetric
Articles

A New Index to Better Detect and Monitor Agricultural Drought in Niger Using Multisensor Remote Sensing Data

Pages 421-432 | Received 07 Sep 2019, Accepted 17 Dec 2019, Published online: 23 Mar 2020

Literature Cited

  • Abdoulkarim, I. S., A. J. M. Karimou, A. Abdou, A. Alkhalil, and K. Ibrahima. 2018. Variability and precipitation trend over the period 1981–2016 in the active basin of Niger. Centre Béninois de la Recherche Scientifique et Technique 11:37–56.
  • Allen, R. G., M. Tasumi, and R. Trezza. 2007. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Model. Journal of Irrigation and Drainage Engineering 133 (4):380–94. doi: 10.1061/(ASCE)0733-9437(2007)133:4(380).
  • Avena, G. C., C. Ricotta, and F. Volpe. 1999. The influence of principal component analysis on the spatial structure of a multispectral dataset. International Journal of Remote Sensing 20 (17):3367–76. doi: 10.1080/014311699211381.
  • Clara, J. 2011. Capitalization on the experience of the rural code in Niger Fiche No. 1: Presentation of Niger. Report, Republic of Niger (Niamey/Niger).
  • Dabrowska-Zielinska, K., F. Kogan, A. Ciolkosz, M. Gruszczynska, and W. Kowalik. 2002. Modelling of crop growth conditions and crop yield in Poland using AVHRR-based indices. International Journal of Remote Sensing 23 (6):1109–23. doi: 10.1080/01431160110070744.
  • Du, L., Q. Tian, T. Yu, Q. Meng, T. Jancso, P. Vardy, and Y. Huang. 2013. A comprehensive drought monitoring method integrating MODIS and TRMM data. International Journal of Applied Earth Observation and Geoinformation 23:245–53. doi: 10.1016/j.jag.2012.09.010.
  • Eastman, J. R., and M. Fulk. 1993. Long sequence time-series evaluation using standardized principal components. Photogrammetric Engineering and Remote Sensing 59 (6):991–96.
  • Farooq, M., A. Wahid, N. Kobayashi, D. Fujita, and S. M. A. Basra. 2009. Plant drought stress: Effects, mechanisms and management. Agronomy for Sustainable Development 29 (1):185–212. doi: 10.1051/agro:2008021.
  • Food and Agriculture Organization Subregional Office for West Africa. 2010. Review of Niger’s livestock sector. Food and Agriculture Organization of the United Nations (Niamey/Niger)..
  • Funk, C., P. Peterson, M. Landsfeld, D. Pedreros, J. Verdin, S. Shukla, G. Husak, et al. 2015. The climate hazards infrared precipitation with stations: A new environmental record for monitoring extremes. Scientific Data 2 (1):1–21. doi: 10.1038/sdata.2015.66.
  • Gago, J., C. Douthe, R. E. Coopman, P. P. Gallego, M. Ribas-Carbo, J. Flexas, J. Escalona, and H. Medrano. 2015. UAVs challenge to assess water stress for sustainable agriculture. Agricultural Water Management 153 (May):9–19. doi: 10.1016/j.agwat.2015.01.020.
  • Gebrehiwot, T., A. van der Veen, and B. Maathuis. 2011. Spatial and temporal assessment of drought in the Northern Highlands of Ethiopia. International Journal of Applied Earth Observation and Geoinformation 13 (3):309–21. doi: 10.1016/j.jag.2010.12.002.
  • Hielkema, J. U., S. D. Prince, and W. L. Astle. 1986. Rainfall and vegetation monitoring in the savanna zone of Democratic Republic of Sudan using NOAA advanced very high-resolution radiometer. International Journal of Remote Sensing 7 (11):1499–514. doi: 10.1080/01431168608948950.
  • Isabelle, B. 2006. Potential of remote sensing for the monitoring and characterization of drought conditions in the Mediterranean environment. Laval, QC, Canada: Université Laval.
  • Jang, J. D. 2004. Evaluation of thermal-water stress of forest in southern Québec from satellite images. Doctoral diss., Université Laval, Laval, QC, Canada.
  • Kogan, F. N. 1990. Remote sensing of weather impacts on vegetation in non-homogeneous areas. International Journal of Remote Sensing 11 (8):1405–19. doi: 10.1080/01431169008955102.
  • Kogan, F. N. 1995a. Application of vegetation index and brightness temperature for drought detection. Advances in Space Research 15 (11):91–100. doi: 10.1016/0273-1177(95)00079-T.
  • Kogan, F. N. 1995b. Droughts of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data. Bulletin of the American Meteorological Society 76 (5):655–68. doi: 10.1175/1520-0477(1995)076 < 0655:DOTLIT.
  • Kogan, F. N. 1997. Global drought watch from space. Bulletin of the American Meteorological Society 78 (4):621–36. doi: 10.1175/1520-0477(1997)078 < 0621:GDWFS.
  • Kogan, F. N. 2001. Operational space technology for global vegetation assessment. Bulletin of the American Meteorological Society 82 (9):1949–64. doi: 10.1175/1520-0477(2001)082 < 1949:OSTFGV.
  • Kogan, F. N. 2002. World droughts in the new millennium from AVHRR-based vegetation health indices. EOS: Transactions of the American Geophysical Union 8 (4):3–7.
  • Layelmam, M., ed. 2015. Calculation of drought indicators from NOAA/AVHRR images. Accessed March 5, 2020. https://hal.archives-ouvertes.fr/hal-00915461
  • McKee, T. B., N. J. Doesken, and J. Kleist. 1993. The relationship of drought frequency and duration to time scales. Paper presented at the Eighth Conference on Applied Climatology, American Meteorological Society, January 17-22, Anaheim, CA.
  • Merrey, D. J., and H. Sally. 2014. Improving access to water for agriculture and livestock in Niger: A preliminary analysis of investment options for the Millennium Challenge Corporation.
  • Michiels, D., J. Egg, and R. Blein. 2012. Repetition of food and nutrition crises in Niger: Urgent renovation of food security policies. Cahiers Agricultures 21:302–10. doi: 10.1684/agr.2012.0588.
  • Mishra, A. K., and V. P. Singh. 2010. A review of drought concepts. Journal of Hydrology 391 (1–2):202–16. doi: 10.1016/j.jhydrol.2010.07.012.
  • Padhee, S. K., B. R. Nikam, S. Dutta, and S. P. Aggarwal. 2017. Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India. GIScience & Remote Sensing 54 (2):144–66. doi: 10.1080/15481603.2017.1286725.
  • Park, S., J. J. Feddema, and S. L. Egbert. 2004. Impacts of hydrologic soil properties on drought detection with MODIS thermal data. Remote Sensing of Environment 88 (1):53–62. doi: 10.1016/j.rse.2003.10.003.
  • Pérez-Blanco, C. D., G. Standardi, J. Mysiak, R. Parrado, and C. Gutiérrez-Martín. 2016. Incremental water charging in agriculture: A case study of the Regione Emilia Romagna in Italy. Environmental Modelling & Software 78:202–15. envsoft.2015.12.016. doi: 10.1016/j.
  • Réseau National des Chambres d’Agriculture du Niger [National Network of Agriculture Chambers of Niger]. 2004. National network of chambers of agriculture: Agroecological zoning of NIGER. Niamey (Niger): Interdepartmental Committee for the Pilotage of the Rural Development Strategy.
  • Rhee, J., J. Im, and G. J. Carbone. 2010. Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data. Remote Sensing of Environment 114 (12):2875–87. doi: 10.1016/j.rse.2010.07.005.
  • Rockström, J., J. Barron, and P. Fox. 2002. Rainwater management for increased productivity among small-holder farmers in drought prone environments. Physics and Chemistry of the Earth, Parts A/B/C 27 (11–22):949–59. doi: 10.1016/S1474-7065(02)00098-0.
  • Senay, G. B., S. Bohms, and J. P. Verdin. 2012. Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance. In Remote sensing of drought: Innovative monitoring approaches, 123–44. U.S. Geological Survey.
  • Senay, G. B., M. E. Budde, and J. P. Verdin. 2011. Enhancing the simplified surface energy balance (SSEB) approach for estimating landscape ET: Validation with the METRIC model. Agricultural Water Management 98 (4):606–18. doi: 10.1016/j.agwat.2010.10.014.
  • Sepulcre-Canto, G., S. Horion, A. Singleton, H. Carrao, and J. Vogt. 2012. Development of a combined drought indicator to detect agricultural drought in Europe. Natural Hazards and Earth System Sciences 12 (11):3519–31. doi: 10.5194/nhess-12-3519-2012.
  • Sivakumar, M. V. K. 1992. Climate change and implications for agriculture in Niger. Climatic Change 20 (4):297–312. doi: 10.1007/BF00142424.
  • Terpend, N., and M. Saley. 2005. Study on the development of animal sector development programs. Niamey (Niger): Department of Agriculture, Fisheries and Livestock.
  • Unganai, L. S., and F. N. Kogan. 1998. Drought monitoring and corn yield estimation in Southern Africa from AVHRR data. Remote Sensing of Environment 63 (3):219–32. doi: 10.1016/S0034-4257(97)00132-6.
  • Wan, Z., S. Hook, and G. Hulley. 2015. MOD11A2 MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid V006. doi: 10.5067/MODIS/MOD11A2.006.
  • Wilhite, D. A. 2000. Droughts: A global assessment. London and New York: Routledge.
  • Wilhite, D. A., and M. H. Glantz. 1985. Understanding the drought phenomenon: The role of definitions. Water International 10 (3):111–20. doi: 10.1080/02508068508686328.
  • World Bank. 2011. Risk assessment of the agricultural sector in Niger: From crisis response to long-term risk management. Niamey (Niger): World Bank.
  • Zhang, A., and G. Jia. 2013. Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data. Remote Sensing of Environment 134 (July):12–23. doi: 10.1016/j.rse.2013.02.023.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.