Relationships of plant species richness with spectral indices derived from airborne hyperspectral image data were evaluated for several habitat-types on Horn Island, Mississippi, northern Gulf of Mexico. A 126-band hyperspectral data cube of Horn Island acquired by the HyMap imaging system covered the 450-2500 nm spectrum at a 3 m Ground Sample Distance (GSD). Reflectance spectra were extracted from 5-11 HyMap pixels representing each of 95,15-m vegetation line transects that were established randomly on the island. In simple regressions, no index related to richness when data from all habitat-types were combined. a number of reflectance and spectral derivative indices related significantly (p \u3c= 0.05) with richness However, when habitat...
Accurately classifying and mapping plant communities is essential for natural resource conservation ...
The availability of quality empirical data on vegetation species distribution is a major factor limi...
While remote sensing has increasingly been applied to estimate α biodiversity directly through optic...
Relationships of plant species richness with spectral indices derived from airborne hyperspectral im...
Barrier island vegetation is subjected to chronic abiotic stressors combined with periodic storm eve...
Semi-natural grasslands with grazing management are characterized by high fine-scale species richnes...
Numerous spectral indices have been developed to assess plant diversity. However, since they are dev...
Abandoned agricultural fields have recently become more abundant in the U.S. and remain susceptible ...
Most remote sensing studies of species diversity have been based on the use of passive imagery repre...
Aim We aim to report what hyperspectral remote sensing can offer for invasion ecologists and review ...
Hyperspectral analysis of vegetation involves obtaining spectral reflectance measurements in hundred...
Hyperspectral data, with their detailed spectral information at different wavelengths, offer multipl...
Hyperspectral imagery of the Konza Prairie Biological Station in northeastern Kansas was used to eva...
Mapping areas of seagrass is important, in part because the extent of seagrass habitat can serve as ...
Hyperspectral remotely sensed data are useful for studying ecosystem processes and patterns. However...
Accurately classifying and mapping plant communities is essential for natural resource conservation ...
The availability of quality empirical data on vegetation species distribution is a major factor limi...
While remote sensing has increasingly been applied to estimate α biodiversity directly through optic...
Relationships of plant species richness with spectral indices derived from airborne hyperspectral im...
Barrier island vegetation is subjected to chronic abiotic stressors combined with periodic storm eve...
Semi-natural grasslands with grazing management are characterized by high fine-scale species richnes...
Numerous spectral indices have been developed to assess plant diversity. However, since they are dev...
Abandoned agricultural fields have recently become more abundant in the U.S. and remain susceptible ...
Most remote sensing studies of species diversity have been based on the use of passive imagery repre...
Aim We aim to report what hyperspectral remote sensing can offer for invasion ecologists and review ...
Hyperspectral analysis of vegetation involves obtaining spectral reflectance measurements in hundred...
Hyperspectral data, with their detailed spectral information at different wavelengths, offer multipl...
Hyperspectral imagery of the Konza Prairie Biological Station in northeastern Kansas was used to eva...
Mapping areas of seagrass is important, in part because the extent of seagrass habitat can serve as ...
Hyperspectral remotely sensed data are useful for studying ecosystem processes and patterns. However...
Accurately classifying and mapping plant communities is essential for natural resource conservation ...
The availability of quality empirical data on vegetation species distribution is a major factor limi...
While remote sensing has increasingly been applied to estimate α biodiversity directly through optic...