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Original Articles

Environmental monitoring and crop forecasting in the Sahel through the use of NOAA NDVI data. A case study: Niger 1986–89

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Pages 3471-3487 | Received 18 Jan 1993, Published online: 24 Apr 2007

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Clement Atzberger. (2013) Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. Remote Sensing 5:2, pages 949-981.
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Zhong-Ze Zhan, Hong-Bin Liu, Hui-Ming Li, Wei Wu & Bin Zhong. (2012) The Relationship between NDVI and Terrain Factors --A Case Study of Chongqing. Procedia Environmental Sciences 12, pages 765-771.
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Glenn J. Newnham, Jan Verbesselt, Ian F. Grant & Stuart A.J. Anderson. (2011) Relative Greenness Index for assessing curing of grassland fuel. Remote Sensing of Environment 115:6, pages 1456-1463.
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N. Philippon, N. Martiny & P. Camberlin. (2009) Forecasting the vegetation photosynthetic activity over the Sahel: a Model Output Statistics approach. International Journal of Climatology 29:10, pages 1463-1477.
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Molly E. Brown, Jorge E. Pinzon & Stephen D. Prince. (2006) The Effect of Vegetation Productivity on Millet Prices in the Informal Markets of Mali, Burkina Faso and Niger. Climatic Change 78:1, pages 181-202.
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N.P. Nezlin, A.G. Kostianoy & Bai-Lian Li. (2005) Inter-annual variability and interaction of remote-sensed vegetation index and atmospheric precipitation in the Aral Sea region. Journal of Arid Environments 62:4, pages 677-700.
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Ferdando Belda & Joaguin Meliá. (2000) Relationships between climatic parameters and forest vegetation: application to burned area in Alicante (Spain). Forest Ecology and Management 135:1-3, pages 195-204.
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Heike Schmidt & Arnon Karnieli. (2000) Remote sensing of the seasonal variability of vegetation in a semi-arid environment. Journal of Arid Environments 45:1, pages 43-59.
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R.A. Seiler, F. Kogan & Guo Wei. (2000) Monitoring weather impact and crop yield from NOAA AVHRR data in Argentina. Advances in Space Research 26:7, pages 1177-1185.
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R.A Seiler, F Kogan & J Sullivan. (1998) AVHRR-based vegetation and temperature condition indices for drought detection in Argentina. Advances in Space Research 21:3, pages 481-484.
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