GAC NDVI interannual coefficient of variation (CoV) images: Ground truth sampling of the Sahel along north-south transects

Milich, Lenard; Weiss, Elliott J.

doi:10.1080/014311600210812

Cited by 89 publications

(53 citation statements)

References 11 publications

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“…Time series of medium and high resolution RS data have been widely used for such analyses because fine scale processes, including human influences on vegetation, can be observed (e.g., Kelder et al 2013;Rasmussen et al 2014;Ruelland et al 2008;2010;Tappan et al 2000;. Other researchers have explored hotspots of vegetation change identified by coarse resolution RS through field based surveys and interviews with local land users (e.g., Milich and Weiss 2000;Herrmann and Tappan 2013;.…”

Section: Vegetation and Environmental Factors And Vegetation Change)mentioning

confidence: 99%

Remote sensing of vegetation in the Sudano-Sahelian zone: A literature review from 1975 to 2014

Karlson

Ostwald

2016

Journal of Arid Environments

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Scarcity of in situ vegetation data inhibits research and natural resource management in the Sudano-Sahelian zone (SSZ). Satellite and aerial remote sensing (RS) constitute key technologies for improving the availability of vegetation data, and consequently the preconditions for scientific analysis and monitoring. The aim of this paper was to investigate how the hands-on application of RS for vegetation analysis has developed in the SSZ by reviewing the scientific literature published between 1975 and 2014. The paper assesses the usages and the users of RS by focusing on four aspects of the material (268 peer-reviewed articles), including publication details (time of publication, scientific discipline of journals and author nationality), geographic information (location of study areas and spatial scale of research), data usage (application of RS systems and procedures for accuracy assessments), and research topic (scientific objective of the research). Three key results were obtained: i) the application of RS to analyze vegetation in the SSZ has increased consistently since 1977 and it seems to become adopted by a growing number of scientific disciplines; ii) the contribution of African authors is low, potentially signaling a need for an increased transfer of knowledge and technology from developed countries; iii) RS has primarily been used to analyze changes in vegetation productivity and broad vegetation types, whereas its use for studying interactions between vegetation and environmental factors has been relatively low. This calls for stronger collaborative RS research that enables the mapping of additional vegetation variables of high relevance for the environmental problems facing the SSZ. Remotely sensed vegetation data are needed at spatial scales that suits the requirements of both research and natural resource management in order to further enhance the usefulness of this technology.

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Section: Vegetation and Environmental Factors And Vegetation Change)mentioning

confidence: 99%

Remote sensing of vegetation in the Sudano-Sahelian zone: A literature review from 1975 to 2014

Karlson

Ostwald

2016

Journal of Arid Environments

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“…In the Sahel, the dynamic of the vegetation is strongly linked to the rainfall evolution (Hess et al 1996, Milich and Weiss 2000a, 2000b, Foody 2003, Symeonakis and Drake 2004. In arid land regions with an annual rainfall of 200 mm to 1000 mm the iNDVI/RR ratio is regarded as a useful proxy for rain-use efficiency (Nicholson et al 1990, Davenport andNicholson 1993).…”

Section: The Ratio Of Integrated Ndvi To Rainfallmentioning

confidence: 99%

Analysis of the vegetation trends using low resolution remote sensing data in Burkina Faso (1982–1999) for the monitoring of desertification

Hountondji

Sokpon

Ozer

2006

International Journal of Remote Sensing

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After about two decades of dramatic rainfall deficits that started in the late 1960s, the Sahel of West Africa has experienced increasing precipitation since the early 1990s. The implementation of the United Nations Convention to Combat Desertification (UNCCD) needs the identification of areas that record declining vegetation productivity over long-time periods. In this scope, we analyse the state of the vegetation productivity using long-term time series of NOAA AVHRR NDVI data and compare it to rainfall data. For this, 128 rain gauge data (RR) were compared with the integrated NDVI during the growing period (iNDVI) values in Burkina Faso from 1982 to 1999. During the analysed period, most of the studied stations in the country were stable for the iNDVI/RR (57.8%). However, 39.8% showed a weak to strong negative trend in the iNDVI/RR while only 2.4% showed a weak positive trend. These negative trends may reflect ongoing desertification processes in Burkina Faso and could be a starting point for the identification of hot-spots areas to determine where to take action to combat desertification.

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“…In statistics, CoV is computed as the standard deviation (σ) divided by the mean (μ) of the time series data (Sun et al, 2010;Milich and Weiss, 2000;Vicente-Serrano et al, 2006) as follows: ,…”

Section: The Statistical Methodsmentioning

confidence: 99%

Analysis trends of ultraviolet B fluxes in the continental US with USDA and TOMS data

et al. 2013

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Many environmental factors, such as stratospheric ozone, aerosols, and clouds, may affect ultraviolet (UV) irradiance. The aim of this study was to investigate the possible association between ultraviolet B (UVB) radiation and total cloud amount, ozone, and aerosols simultaneously, leading to the assessment of possible impacts of climate change on UVB flux variations in the Continental United States (US). Findings indicate that in the past 22 years, while ozone decreased and aerosols increased across the US, the UVB decrease in the northern states was consistent with the increase in aerosols and total cloud amount. Climate change impact resulting in higher total cloud amount in the northern states might result in lower UVB in the future.

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GAC NDVI interannual coefficient of variation (CoV) images: Ground truth sampling of the Sahel along north-south transects

Cited by 89 publications

References 11 publications

Remote sensing of vegetation in the Sudano-Sahelian zone: A literature review from 1975 to 2014

Remote sensing of vegetation in the Sudano-Sahelian zone: A literature review from 1975 to 2014

Analysis of the vegetation trends using low resolution remote sensing data in Burkina Faso (1982–1999) for the monitoring of desertification

Analysis trends of ultraviolet B fluxes in the continental US with USDA and TOMS data

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