Assessment of the mutual impact between climate and vegetation cover using NOAA-AVHRR and Landsat data in Egypt

El-Shirbeny, Mohammed A.; Aboelghar, Mohamed; Arafat, S.M. Yasir; El-Gindy, A. M.

doi:10.1007/s12517-012-0791-3

Cited by 20 publications

(13 citation statements)

References 25 publications

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“…The fringes of the Nile Delta normally have less ET compared to the inland regions of the delta, as recently shown by Simonneaux et al [41], but show an upward trend. This finding is in agreement with other studies that indicated increasing ET and vegetation productivity in newly reclaimed desert lands in the fringes of the Nile Delta following the expansion of irrigation agriculture in the last few decades [9,39,40,76,77]. On the other hand, the trend analysis on rainfall data showed no significant upward trend, but parts of Uganda (Zone VIII), South Sudan (Zone VI), the western Ethiopian Highlands (Zone VII) and eastern parts of Sudan (Zone V) showed a statistically significant downward trend in rainfall.…”

Section: Trends In Et and Rainfallsupporting

confidence: 93%

“…Previous works on ET in the region include those conducted at field-scales [34,35] or high resolution imagery [16,36,37], or regional/basin-scale [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50], or the continental/global-scale [17,51,52]. Continental-and regional-scale trend analysis conducted at 0.5° to 1.0° resolution indicated a downward trend in ET over the past few decades in substantial parts of the Nile Basin region [17,51,52].…”

Section: Introductionmentioning

confidence: 99%

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Evapotranspiration Variability and Its Association with Vegetation Dynamics in the Nile Basin, 2002–2011

et al. 2014

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Evapotranspiration (ET) is a vital component in land-atmosphere interactions.In drylands, over 90% of annual rainfall evaporates. The Nile Basin in Africa is about 42% dryland in a region experiencing rapid population growth and development. The relationship of ET with climate, vegetation and land cover in the basin during 2002-2011 is analyzed using thermal-based Simplified Surface Energy Balance Operational (SSEBop) ET, Normalized Difference Vegetation Index (NDVI)-based MODIS Terrestrial (MOD16) ET, MODIS-derived NDVI as a proxy for vegetation productivity and rainfall from Tropical Rainfall Measuring Mission (TRMM). Interannual variability and trends are analyzed using established statistical methods. Analysis based on thermal-based ET revealed that >50% of the study area exhibited negative ET anomalies for 7 years (2009, driest), while >60% exhibited positive ET anomalies for 3 years (2007, wettest). NDVI-based monthly ET correlated strongly (r > 0.77) with vegetation than thermal-based ET (0.52 < r < 0.73) at p < 0.001. Climate-zone averaged thermal-based ET anomalies positively correlated (r = 0.6, p < 0.05) with rainfall in 4 of the 9 investigated climate zones. Thermal-based and NDVI-based ET estimates revealed minor discrepancies over rainfed croplands (60 mm/yr higher for thermal-based ET), but a significant divergence over wetlands (440 mm/yr higher for thermal-based ET). Only 5% of the study area exhibited statistically significant trends in ET.

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Section: Trends In Et and Rainfallsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Evapotranspiration Variability and Its Association with Vegetation Dynamics in the Nile Basin, 2002–2011

et al. 2014

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“…This finding in the peripheries of the delta is in agreement with other researchers who identified expansion of irrigation activity in newly reclaimed land in the fringes of the delta [48,49].…”

Section: Synthesis Of Individual Trendssupporting

confidence: 93%

“…Moreover, some portions of the delta also exhibited physical land degradation from urban land encroachment on agricultural areas [46,47]. However, the fringes of the Nile delta showed increases in ET, which were likely a consequence of expanding irrigation in newly reclaimed agricultural lands [48][49][50].…”

Section: Et Patternsmentioning

confidence: 99%

Evapotranspiration in the Nile Basin: Identifying Dynamics and Drivers, 2002–2011

Alemu

Kaptué

Senay

et al. 2015

Water

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Analysis of the relationship between evapotranspiration (ET) and its natural and anthropogenic drivers is critical in water-limited basins such as the Nile. The spatiotemporal relationships of ET with rainfall and vegetation dynamics in the Nile Basin during 2002-2011 were analyzed using satellite-derived data. Non-parametric statistics were used to quantify ET-rainfall interactions and trends across land cover types and subbasins. We found that 65% of the study area (2.5 million km 2 ) showed significant (p < 0.05) positive correlations between monthly ET and rainfall, whereas 7% showed significant negative correlations. As expected, positive ET-rainfall correlations were observed over natural vegetation, mixed croplands/natural vegetation, and croplands, with a few subbasin-specific exceptions. In particular, irrigated croplands, wetlands and some forests exhibited negative correlations. Trend tests revealed spatial clusters of statistically significant trends in ET (6% of study area was negative; 12% positive), vegetation greenness (24% negative; 12% positive) and rainfall (11% negative; 1% positive) during 2002-2011. The Nile Delta, Ethiopian highlands and central Uganda regions showed decline in ET while central parts of Sudan, South Sudan, southwestern Ethiopia and northeastern Uganda showed increases. Except for a decline in OPEN ACCESSWater 2015, 7 4915 ET in central Uganda, the detected changes in ET (both positive and negative) were not associated with corresponding changes in rainfall. Detected declines in ET in the Nile delta and Ethiopian highlands were found to be attributable to anthropogenic land degradation, while the ET decline in central Uganda is likely caused by rainfall reduction.

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“…58-65 Journal homepage: http://iieta.org/Journals/EESRJ (NDVI), Soil Adjusted Vegetation Index (SAVI) introduce by [26] and Crop coefficient (KC) which is a dimensionless number (usually between 0.1 and 1.2) which used to calculate actual evapotranspiration (ETc). Kc can be estimated using satellite data through the relation between Kc and Normalize Difference Vegetation Index NDVI which was used by [11] and evaluated by [10]. These indices have been used to monitor crop condition and forecast yield as well as production in many countries of the world [23].…”

Section: Environmental and Earth Sciences Research Journalmentioning

confidence: 99%

Regressive vegetation cover status in river Kaduna catchment area Kaduna, Nigeria

Zaharaddeen¹,

Danjuma²

2018

EESRJ

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It is very important to conserve the nature and composition of vegetation resources especially in an area were climate change and human activities are threatening their existence, especially Nigeria and in Particular River Kaduna Catchment Area might be one of those areas. Therefore this research aims to assess the vegetation cover status in river Kaduna catchment area. Remote sensing data and geographical information system were used to analyse the condition of vegetation in this region. Landsat imageries from 2000-2014 were used to extract NDVI, SAVI and KC was computed based on the relationship with the NDVI, to assess the vigour condition of vegetation. Linear regression analysis was computed for all the indices to determine their trend. The results of the result revealed that all the indices exhibited similar pattern of vegetation variation. It also indicate that the built up area have high NDVI and SAVI value more that the water body. The Afaka forest reserve have the highest NDVI, SAVI and KC value. Result indicated that the Afaka forest reserve had a healthy vegetation even though it is being threated by human explosion. The trend analysis shows a negative trend of NDVI, SAVI and KC in Catchment Area respectively. It can be conclude that NDVI, SAVI and Kc showed a spatial and temporal variability in Middle Kaduna River Catchment area. The vegetation condition varied from one region to another This result shows a depletion of the vegetation as a consequence of human activities particularly fuel wood, cultivation for agricultural purposes and deforestation. It also has implication for global carbon dioxide loading and temperature.

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Assessment of the mutual impact between climate and vegetation cover using NOAA-AVHRR and Landsat data in Egypt

Cited by 20 publications

References 25 publications

Evapotranspiration Variability and Its Association with Vegetation Dynamics in the Nile Basin, 2002–2011

Evapotranspiration Variability and Its Association with Vegetation Dynamics in the Nile Basin, 2002–2011

Evapotranspiration in the Nile Basin: Identifying Dynamics and Drivers, 2002–2011

Regressive vegetation cover status in river Kaduna catchment area Kaduna, Nigeria

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