Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIR... more Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIRIS data for estimating green vegetation fractional cover in a test area of Southern France, using reference endmember spectra taken from a library of ground high spectral resolution measurements of vegetation elements and various soil and rock surfaces. Results are expressed as relative contributions of shade, green vegetation and background on a pixel by pixel basis. Results of SMA appear similar to the calculation of a simple spectral vegetation index (NDVI), but can give more interpretable results in terms of scaled fractions of green vegetation or soil and rock backgrounds.
The floodplain of the river Strymon at Kerkini (northern Greece) was transformed into an irrigati... more The floodplain of the river Strymon at Kerkini (northern Greece) was transformed into an irrigation reservoir by the construction of a dam in 1932 and subsequently enlarged in 1982. The aims of this study were to quantify the changes occurring in the various habitat types following raising of the waterlevel and to assess the stability of the plant communities present
Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIR... more Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIRIS data for estimating green vegetation fractional cover in a test area of Southern France, using reference endmember spectra taken from a library of ground high spectral resolution measurements of vegetation elements and various soil and rock surfaces. Results are expressed as relative contributions of shade, green vegetation and background on a pixel by pixel basis. Results of SMA appear similar to the calculation of a simple spectral vegetation index (NDVI), but can give more interpretable results in terms of scaled fractions of green vegetation or soil and rock backgrounds.
International Journal of Remote Sensing, Mar 1, 1993
The main objective of this study was to establish a method of estimating tree density in savanna-... more The main objective of this study was to establish a method of estimating tree density in savanna-like vegetation systems using the highest spatial resolution available from satellite data (SPOT-1 panchromatic = 10 m resolution) based on the assumption that for sparse trees on a contrasting herbaceous background, spatial filters may provide a direct mapping of tree cover. The study was performed in the ‘dehesas’ oak-woodland of southern Spain. This particular landscape is characterized by the presence of scattered evergreen oak trees (Quercus ilex and Q. suber) whose density ranges from 0 to 80 even-aged mature trees per hectare which gives the appearance of a savanna-like vegetation. Tree density can be accurately estimated by SPOT-1 panchromatic data after numerical filtering. This method allows the mapping of tree density of the dehesas, a key parameter reflecting the functional vegetation-soil-climate equilibrium which exists for both woody and herbaceous strata.
1 Centre d'aménagement et de gestion des ressources hydriques (Brace), Université McGill, 21... more 1 Centre d'aménagement et de gestion des ressources hydriques (Brace), Université McGill, 21111, chemin Lakeshore, Sainte-Anne-de-Bellevue, Québec, Canada H9X 3V9 Téléphone : 1 514 398 8756 ; courriel : mohamed.chikhaoui@mcgill.ca 2 CARTEL, Université de ...
Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIR... more Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIRIS data for estimating green vegetation fractional cover in a test area of Southern France, using reference endmember spectra taken from a library of ground high spectral resolution measurements of vegetation elements and various soil and rock surfaces. Results are expressed as relative contributions of shade, green vegetation and background on a pixel by pixel basis. Results of SMA appear similar to the calculation of a simple spectral vegetation index (NDVI), but can give more interpretable results in terms of scaled fractions of green vegetation or soil and rock backgrounds.
Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIR... more Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIRIS data for estimating green vegetation fractional cover in a test area of Southern France, using reference endmember spectra taken from a library of ground high spectral resolution measurements of vegetation elements and various soil and rock surfaces. Results are expressed as relative contributions of shade, green vegetation and background on a pixel by pixel basis. Results of SMA appear similar to the calculation of a simple spectral vegetation index (NDVI), but can give more interpretable results in terms of scaled fractions of green vegetation or soil and rock backgrounds.
The floodplain of the river Strymon at Kerkini (northern Greece) was transformed into an irrigati... more The floodplain of the river Strymon at Kerkini (northern Greece) was transformed into an irrigation reservoir by the construction of a dam in 1932 and subsequently enlarged in 1982. The aims of this study were to quantify the changes occurring in the various habitat types following raising of the waterlevel and to assess the stability of the plant communities present
Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIR... more Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIRIS data for estimating green vegetation fractional cover in a test area of Southern France, using reference endmember spectra taken from a library of ground high spectral resolution measurements of vegetation elements and various soil and rock surfaces. Results are expressed as relative contributions of shade, green vegetation and background on a pixel by pixel basis. Results of SMA appear similar to the calculation of a simple spectral vegetation index (NDVI), but can give more interpretable results in terms of scaled fractions of green vegetation or soil and rock backgrounds.
International Journal of Remote Sensing, Mar 1, 1993
The main objective of this study was to establish a method of estimating tree density in savanna-... more The main objective of this study was to establish a method of estimating tree density in savanna-like vegetation systems using the highest spatial resolution available from satellite data (SPOT-1 panchromatic = 10 m resolution) based on the assumption that for sparse trees on a contrasting herbaceous background, spatial filters may provide a direct mapping of tree cover. The study was performed in the ‘dehesas’ oak-woodland of southern Spain. This particular landscape is characterized by the presence of scattered evergreen oak trees (Quercus ilex and Q. suber) whose density ranges from 0 to 80 even-aged mature trees per hectare which gives the appearance of a savanna-like vegetation. Tree density can be accurately estimated by SPOT-1 panchromatic data after numerical filtering. This method allows the mapping of tree density of the dehesas, a key parameter reflecting the functional vegetation-soil-climate equilibrium which exists for both woody and herbaceous strata.
1 Centre d'aménagement et de gestion des ressources hydriques (Brace), Université McGill, 21... more 1 Centre d'aménagement et de gestion des ressources hydriques (Brace), Université McGill, 21111, chemin Lakeshore, Sainte-Anne-de-Bellevue, Québec, Canada H9X 3V9 Téléphone : 1 514 398 8756 ; courriel : mohamed.chikhaoui@mcgill.ca 2 CARTEL, Université de ...
Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIR... more Spectral mixture analysis (SMA) has been applied to radiometrically corrected Landsat-TM and AVIRIS data for estimating green vegetation fractional cover in a test area of Southern France, using reference endmember spectra taken from a library of ground high spectral resolution measurements of vegetation elements and various soil and rock surfaces. Results are expressed as relative contributions of shade, green vegetation and background on a pixel by pixel basis. Results of SMA appear similar to the calculation of a simple spectral vegetation index (NDVI), but can give more interpretable results in terms of scaled fractions of green vegetation or soil and rock backgrounds.
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