+ Site Statistics
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn

+ Translate
+ Recently Requested

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

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

Arabian Journal of Geosciences 7(4): 1287-1296

The objective of the current study is to use satellite data to assess the mutual influence between vegetation and climate. The Ismailia Governorate was selected as a case study to investigate the impact of vegetation cover expansion on both land surface and air temperature from 1983 to 2010 and vice versa. This observation site was carefully selected as a clear example of the high rate of the reclamation and vegetation expansion process in Egypt. Land surface temperature (LST) was estimated through the Advanced Very High Resolution Radiometer (a space-borne sensor embarked on the National Oceanic and Atmospheric Administration) data while air temperature (T (air)) was collected from ground meteorological stations in the study area. Irrigated agriculture is the largest consumer of freshwater resources. However, consistent information on irrigation water use is still lacking. Relative humidity, wind speed, solar radiation, and T (air) data were inserted in the Penman-Monteith equation to calculate potential evapotranspiration (ETo), while both LST and T (air) were used to observe the relative water status of the study area as a result of the water deficit index (WDI). Then, both WDI and ETo were used to calculate actual evepotranspiration (ETC.). The results showed that LST decreased by about 2.3 A degrees C while T (air) decreased by about 1.6 A degrees C during the study period. The results showed also that the vegetation cover expanded from 25,529.85 ha in 1985 to 63,140.49 ha in 2009 with about 147 % increase. This decrease in LST and air temperature was according to the expansion of the cultivated land that was proved through the processing of three Landsat TM and Landsat ETM+ imageries acquired in June 19, 1985, June 7, 1998, and June 29, 2009. The vegetation water consumption was affected by the decreasing surface and air temperature. The results showed that the water deficit index decreased by about 0.35, and actual evapotranspiration increased by about 2.5 mm during the study period.

(PDF emailed within 0-6 h: $19.90)

Accession: 066282963

Download citation: RISBibTeXText

DOI: 10.1007/s12517-012-0791-3

Related references

NOAA-AVHRR data processing for the mapping of vegetation cover. International Journal of Remote Sensing 18(3): 671-677, 1997

Obtaining spatial and temporal vegetation data from Landsat MSS and AVHRR/NOAA satellite images for a hydrologic model. PEandRS, Photogrammetric Engineering and Remote Sensing 63(1): 69-77, 1997

Monitoring vegetation in the Nile Delta with NOAA-6 and NOAA-7 AVHRR imagery Egypt. Proceedings of the International Symposium on Remote Sensing of Environment First Thematic Conference: "Remote sensing of arid and semi arid lands" 19-25 January 1982 Cairo Egypt: 987, 1982

Multi-satellite data merge to combine NOAA AVHRR efficiency with Landsat-6 MSS spatial resolution to study vegetation dynamics. Advances in Space Research 26(7): 1131-1133, 2000

The long-term monitoring of vegetation cover in the Amazonian region of northern Brazil using NOAA-AVHRR data. International Journal of Remote Sensing 18(15): 3195-3210, 1997

Detection and mapping vegetation cover based on the Spectral Angle Mapper algorithm using NOAA AVHRR data. Advances in Space Research 53(12): 1686-1693, 2014

Analysis of vegetation seasonal evolution and mapping of forest cover in West Africa with the use of NOAA AVHRR HRPT data. PEandRS, Photogrammetric Engineering and Remote Sensing 56(10): 1359-1365, 1990

Forest impact estimated with NOAA AVHRR and Landsat TM data related to an empirical hurricane wind-field distribution. Remote Sensing of Environment 77(3): 279-292, 2001

Resource management of forested wetlands: hurricane impact and recovery mapped by combining Landsat TM and NOAA AVHRR data. PEandRS, Photogrammetric Engineering and Remote Sensing 64(7): 733-738, 1998

Determination of spatio-temporal variations of vegetation cover, land surface temperature and rainfall and their relationships over Sri Lanka using NOAA AVHRR data. Tropical Agricultural Research 16: 282-291, 2004

Pasture land cover in Eastern Australia from NOAA-AVHRR NDVI and classified Landsat TM. Remote Sensing of Environment 67(1): 32-50, 1999

Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data. International Journal of Remote Sensing 21(5): 973-996, 2000

Vegetation cover mapping from NOAA/AVHRR. Advances in Space Research 5(6): 359-369, 1985

Differences in vegetation indices for simulated landsat 5 mss and tm noaa 9 avhrr and spot 1 sensor systems. Remote Sensing of Environment 23(3): 439-452, 1987

Vegetation cover mapping over france using noaa 11 avhrr. International Journal of Remote Sensing 13(9): 1787-1795, 1992