Synergism between NOAA-AVHRR and Meteosat data for studying vegetation development in semi-arid West Africa

Justice, Chris; Dugdale, G.; Townshend, J. R. G.; Narracott, A. S.; Kumar, M. Sandeep

doi:10.1080/01431169108929730

Cited by 67 publications

(43 citation statements)

References 16 publications

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“…En effet, la valeur maximale de l'indice de végétation est généralement observée entre la troisième décade d'août et la deuxième décade de septembre (Hess et al, 1996). Etant donné que le temps de réponse du développement de la végétation est approximativement de 10 à 20 jours (Justice et al, 1991 ;Davenport et Nicholson, 1993), la décision de bloquer le total pluviométrique et l'indice de végétation intégré, respectivement de mai à octobre puis de juin à octobre, nous semble cohérente. L'évolution du iNDVI se fait au niveau de chaque pixel incluant les stations pluviométriques qui serviront à l'analyse de tendance.…”

Section: Données De Ndviunclassified

Evidence of Sahelian vegetation resilience in Niger after drought periods by using low resolution satellite data

Hountondji¹,

Nicolas²,

Sokpon³

et al. 2005

belgeo

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Section: Données De Ndviunclassified

Evidence of Sahelian vegetation resilience in Niger after drought periods by using low resolution satellite data

Hountondji¹,

Nicolas²,

Sokpon³

et al. 2005

belgeo

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“…Originally, RUE was treated as a steady value throughout the various arid and semi-arid zones of the world, so the spatio-temporal changes in RUE have been suggested for evaluating land degradation and improvement [28,34,62,63]. Since a near-linear relation may be assumed to exist between annual NDVI and primary productivity, NDVI was generally used as a proxy of primary productivity to calculate RUE [64][65][66][67].…”

Section: Identification Of the Increase In Planted Vegetationmentioning

confidence: 99%

Water Loss Due to Increasing Planted Vegetation over the Badain Jaran Desert, China

et al. 2018

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Abstract:Water resources play a vital role in ecosystem stability, human survival, and social development in drylands. Human activities, such as afforestation and irrigation, have had a large impact on the water cycle and vegetation in drylands over recent years. The Badain Jaran Desert (BJD) is one of the driest regions in China with increasing human activities, yet the connection between human management and the ecohydrology of this area remains largely unclear. In this study, we firstly investigated the ecohydrological dynamics and their relationship across different spatial scales over the BJD, using multi-source observational data from 2001 to 2014, including: total water storage anomaly (TWSA) from Gravity Recovery and Climate Experiment (GRACE), normalized difference vegetation index (NDVI) from Moderate Resolution Imaging Spectroradiometer (MODIS), lake extent from Landsat, and precipitation from in situ meteorological stations. We further studied the response of the local hydrological conditions to large scale vegetation and climatic dynamics, also conducting a change analysis of water levels over four selected lakes within the BJD region from 2011. To normalize the effect of inter-annual variations of precipitation on vegetation, we also employed a relationship between annual average NDVI and annual precipitation, or modified rain-use efficiency, termed the RUE mo . A focus of this study is to understand the impact of the increasing planted vegetation on local ecohydrological systems over the BJD region. Results showed that vegetation increases were largely found to be confined to the areas intensely influenced by human activities, such as croplands and urban areas. With precipitation patterns remaining stable during the study period, there was a significant increasing trend in vegetation greenness per unit of rainfall, or RUE mo over the BJD, while at the same time, total water storage as measured by satellites has been continually decreasing since 2003. This suggested that the increased trend in vegetation and apparent increase in RUE mo can be attributed to the extraction of ground water for human-planted irrigated vegetation. In the hinterland of the BJD, we identified human-planted vegetation around the lakes using MODIS observations and field investigations. Four lake basins were chosen to validate the relationship between lake levels and planted vegetation. Our results indicated that increasing human-planted vegetation significantly increased the water loss over the BJD region. This study highlights the value of combining observational data from space-borne sensors and ground instruments to monitor the ecohydrological dynamics and the impact of human activities on water resources and ecosystems over the drylands.

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“…Significant correlations have been found between NDVI and Green Cover, Leaf Area Index (LAI) and Yield (Nidumolu et al, 2008). NDVI responds to precipitation with different time lags (Justice et al, 1991) depending on environmental factors such as the soil type (Richard and Poccard, 1998).…”

Section: Satellite-based Drought Indicatorsmentioning

confidence: 99%

Mapping return levels of absolute NDVI variations for the assessment of drought risk in Ethiopia

Tonini

Lasinio

Hochmair

2012

International Journal of Applied Earth Observation and Geoinfor

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The analysis and forecasting of extreme climatic events has become increasingly relevant to planning effective financial and food-related interventions in third-world countries. Natural disasters and climate change, both large and small scale, have a great impact on non-industrialized populations who rely exclusively on activities such as crop production, fishing, and similar livelihood activities. It is important to identify the extent of the areas prone to severe drought conditions in order to study the possible consequences of the drought on annual crop production. In this paper, we aim to identify such areas within the South Tigray zone, Ethiopia, using a transformation of the Normalized Difference Vegetation Index (NDVI) called Absolute Difference NDVI (ADVI). Negative NDVI shifts from the historical average can generally be linked to a reduction in the vigor of local vegetation. Drought is more likely to increase in areas where negative shifts occur more frequently and with high magnitude, making it possible to spot critical situations. We propose a new methodology for the assessment of drought risk in areas where crop production represents a primary source of livelihood for its inhabitants. We estimate ADVI return levels pixel per pixel by fitting extreme value models to independent monthly minima. The study is conducted using SPOTVegetation (VGT) ten-day composite (S10) images from April 1998 to March 2009. In all short-term and 2 long-term predictions, we found that central and southern areas of the South Tigray zone are prone to a higher drought risk compared to other areas.

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Synergism between NOAA-AVHRR and Meteosat data for studying vegetation development in semi-arid West Africa

Cited by 67 publications

References 16 publications

Evidence of Sahelian vegetation resilience in Niger after drought periods by using low resolution satellite data

Evidence of Sahelian vegetation resilience in Niger after drought periods by using low resolution satellite data

Water Loss Due to Increasing Planted Vegetation over the Badain Jaran Desert, China

Mapping return levels of absolute NDVI variations for the assessment of drought risk in Ethiopia

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