D. Rocchini

The rasterdiv package for measuring diversityfrom space

The rasterdiv package calculates diversity indices from numerical matrices, including remote sensing data, to analyze spatial heterogeneity and ecosystem complexity.

"Flower power": how flowering affects spectral diversity metrics and their relationship with plant diversity

This study evaluates how flowering affects spectral diversity metrics and their relationship with plant diversity in grasslands, finding significant but low-explained variance in the link when using categorical metrics.

Plant spectral diversity from high-resolution multispectral imagery detects functional diversity patterns in coastal dune communities.

The paper uses high-resolution multispectral imagery to show that spectral diversity can approximate functional diversity patterns in coastal dune plant communities across different spatial scales.

The relationship between spectral and plant diversity: disentangling the influence of metrics and habitat types

This study evaluates the relationship between spectral diversity metrics and plant biodiversity across different habitats in the Czech Republic, finding context-dependent results.

rasterdiv - an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back

The paper introduces an R package called rasterdiv for measuring ecosystem heterogeneity using remotely sensed data and demonstrates its application in revealing hidden heterogeneity patterns.

From zero to infinity: minimum to maximum diversity of the planet by spatio-parametric Rao's quadratic entropy

This paper generalizes Rao's quadratic entropy to create a parametric measure for satellite-based ecosystem diversity, integrating abundance and spectral distance.

Measuring diversity from space: a global view of the free and open source rasterdiv R package under a coding perspective

The paper introduces the rasterdiv R package for calculating diversity indices from remotely sensed data, emphasizing its role as a complementary tool to in-situ biodiversity measurements.

From local spectral species to global spectral communities: a benchmark for ecosystem diversity estimate by remote sensing

The paper benchmarks a method to estimate ecosystem diversity using remote sensing data by analyzing spectral species and their spatial distribution across Europe.