Abstract—We suggest an empirical method to correct topo-graphic effects on vegetation classification of panchromatic aerial photographs. The method is based on the use of spatial interpo-lation technique that constructs a luminance surface from targets of high brightness values. The luminance surface is then used to correct the topographic effects differentially, by increasing bright-ness values in shaded areas and decreasing brightness values of lightened areas. For this purpose, the use of a trapezoidal function was found successful in the reduction of standard deviation of brightness values of trees, shrubs, and herbaceous plants after empirical correction. This method outperformed a frequently used digital elevation model-based topograp...
Plant classification is quite complex and multilevel. All living organisms are divided into domains,...
The ability to acquire and use remotely sensed data has revolutionized large-scale ecological studie...
Satellite images in mountainous areas are strongly affected by topography. Different studies demonst...
Mapping of vegetation in mountain areas based on remote sensing is obstructed by atmospheric and top...
Mapping of vegetation in mountain areas based on remote sensing is obstructed by atmospheric and top...
Differential illumination effects complicate the interpretation and classification of satellite imag...
Several preprocessing steps have to be performed to reliably study mountainous terrains with satelli...
Mapping of vegetation using remote sensing in mountainous areas is considerably hampered by topograp...
Quantitative retrieval of land surface biological parameters (e.g. foliage projective cover [FPC] an...
The aim of the topographic normalization of remotely sensed imagery is to reduce reflectance variabi...
The radiometry of satellite imagery is influenced by ground cover, local topography, and atmosphere....
This investigation constituted an attempt to forge a methodological link between ground and aerial s...
Ad hoc decisions during fieldwork reduce the accuracy and reliability of vegetation maps. A method i...
One of the main factors contributing to radiometric distortion on remote sensing data is topographic...
Four radiometric correction methods for the reduction of slope-aspect effects in a Landsat TM data s...
Plant classification is quite complex and multilevel. All living organisms are divided into domains,...
The ability to acquire and use remotely sensed data has revolutionized large-scale ecological studie...
Satellite images in mountainous areas are strongly affected by topography. Different studies demonst...
Mapping of vegetation in mountain areas based on remote sensing is obstructed by atmospheric and top...
Mapping of vegetation in mountain areas based on remote sensing is obstructed by atmospheric and top...
Differential illumination effects complicate the interpretation and classification of satellite imag...
Several preprocessing steps have to be performed to reliably study mountainous terrains with satelli...
Mapping of vegetation using remote sensing in mountainous areas is considerably hampered by topograp...
Quantitative retrieval of land surface biological parameters (e.g. foliage projective cover [FPC] an...
The aim of the topographic normalization of remotely sensed imagery is to reduce reflectance variabi...
The radiometry of satellite imagery is influenced by ground cover, local topography, and atmosphere....
This investigation constituted an attempt to forge a methodological link between ground and aerial s...
Ad hoc decisions during fieldwork reduce the accuracy and reliability of vegetation maps. A method i...
One of the main factors contributing to radiometric distortion on remote sensing data is topographic...
Four radiometric correction methods for the reduction of slope-aspect effects in a Landsat TM data s...
Plant classification is quite complex and multilevel. All living organisms are divided into domains,...
The ability to acquire and use remotely sensed data has revolutionized large-scale ecological studie...
Satellite images in mountainous areas are strongly affected by topography. Different studies demonst...