[HTML][HTML] Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing
Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to
link between different aspects of biodiversity and spatial patterns of spectral data (eg …
link between different aspects of biodiversity and spatial patterns of spectral data (eg …
Map** tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data
Detailed information on spatial patterns of tree species diversity (TSD) is essential for
biodiversity assessment, forest disturbance monitoring, and the management and …
biodiversity assessment, forest disturbance monitoring, and the management and …
Plant beta-diversity across biomes captured by imaging spectroscopy
Monitoring the rapid and extensive changes in plant species distributions occurring
worldwide requires large-scale, continuous and repeated biodiversity assessments. Imaging …
worldwide requires large-scale, continuous and repeated biodiversity assessments. Imaging …
Prediction of grassland biodiversity using measures of spectral variance: a meta-analytical review
Over the last 20 years, there has been a surge of interest in the use of reflectance data
collected using satellites and aerial vehicles to monitor vegetation diversity. One …
collected using satellites and aerial vehicles to monitor vegetation diversity. One …
[HTML][HTML] Using ZY1-02D satellite hyperspectral remote sensing to monitor landscape diversity and its spatial scaling change in the Yellow River Estuary
Monitoring and assessing wetland diversity is crucial for its accurate preservation.
Hyperspectral satellites have been proven effective for detailed investigations of plant …
Hyperspectral satellites have been proven effective for detailed investigations of plant …
The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale
Biodiversity monitoring is crucial for ecosystem conservation, but ground data collection is
limited by cost, time, and scale. Remote sensing is a convenient approach providing …
limited by cost, time, and scale. Remote sensing is a convenient approach providing …
Is spectral pixel-to-pixel variation a reliable indicator of grassland biodiversity? A systematic assessment of the spectral variation hypothesis using spatial simulation …
A Ludwig, D Doktor, H Feilhauer - Remote Sensing of Environment, 2024 - Elsevier
Abstract Covering 30%–40% of the terrestrial surface, grasslands are important hosts of
biodiversity, crucial for nutrient cycles and carbon sequestration. However, these …
biodiversity, crucial for nutrient cycles and carbon sequestration. However, these …
[HTML][HTML] Uncovering the hidden: Leveraging sub-pixel spectral diversity to estimate plant diversity from space
Remotely sensed spectral diversity has emerged as a promising proxy for plant diversity.
However, spectral diversity approaches relate image spectra to plant community diversity by …
However, spectral diversity approaches relate image spectra to plant community diversity by …
Using airborne and DESIS imaging spectroscopy to map plant diversity across the largest contiguous tract of tallgrass prairie on earth
Grassland ecosystems are under threat globally, primarily due to land-use and land-cover
changes that have adversely affected their biodiversity. Given the negative ecological …
changes that have adversely affected their biodiversity. Given the negative ecological …
[HTML][HTML] Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems
Wet grasslands are crucial components of terrestrial ecosystems, known for their biodiversity
and provision of ecosystem services such as flood attenuation and carbon sequestration …
and provision of ecosystem services such as flood attenuation and carbon sequestration …