[HTML][HTML] Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing

M Torresani, C Rossi, M Perrone, LT Hauser… - Ecological …, 2024 - Elsevier
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 …

[HTML][HTML] LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems

M Torresani, D Rocchini, A Alberti, V Moudrý… - Ecological …, 2023 - Elsevier
Abstract The “Height Variation Hypothesis” is an indirect approach used to estimate forest
biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) …

Height variation hypothesis: A new approach for estimating forest species diversity with CHM LiDAR data

M Torresani, D Rocchini, R Sonnenschein… - Ecological …, 2020 - Elsevier
An indirect method for estimating biodiversity from Earth observations is the Spectral
Variation Hypothesis (SVH). SVH states that the higher the spatial variability of the spectral …

[HTML][HTML] A novel approach for surveying flowers as a proxy for bee pollinators using drone images

M Torresani, D Kleijn, JPR de Vries, H Bartholomeus… - Ecological …, 2023 - Elsevier
The abundance and diversity of plants and insects are important indicators of biodiversity,
overall ecosystem health and agricultural production. Bees in particular are interesting …

Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach

M Torresani, D Rocchini, G Ceola, JPR de Vries… - Scientific Reports, 2024 - nature.com
The ecosystem services offered by pollinators are vital for supporting agriculture and
ecosystem functioning, with bees standing out as especially valuable contributors among …

[HTML][HTML] High-precision estimation of plant alpha diversity in different ecosystems based on Sentinel-2 data

J **n, J Li, Q Zeng, Y Peng, Y Wang, X Teng, Q Bao… - Ecological …, 2024 - Elsevier
At present, the accuracy of remote sensing estimation models of plant alpha diversity is
generally low, and high-precision estimation models in deciduous broadleaved forest (DBF) …

[HTML][HTML] Predicting species and structural diversity of temperate forests with satellite remote sensing and deep learning

J Hoffmann, J Muro, O Dubovyk - Remote Sensing, 2022 - mdpi.com
Anthropogenically-driven climate change, land-use changes, and related biodiversity losses
are threatening the capability of forests to provide a variety of valuable ecosystem services …

Which optical traits enable an estimation of tree species diversity based on the Spectral Variation Hypothesis?

M Torresani, H Feilhauer, D Rocchini… - Applied Vegetation …, 2021 - Wiley Online Library
Question Which optical traits, retrieved from biophysical models applied to Sentinel‐2
images, enable an estimation of tree species diversity based on the Spectral Variation …

A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island …

R Tiengo, S Merino-De-Miguel, J Uchôa, A Gil - Land, 2024 - mdpi.com
Small oceanic islands, such as São Miguel Island in the Azores (Portugal), face heightened
susceptibility to the adverse impacts of climate change, biological invasions, and land cover …

RETRACTED: Biodiversity assessment based on artificial intelligence and neural network algorithms

C Li - 2020 - Elsevier
The influence of such technology on human life has increased due to the improved
connectivity, data storage and processor speed. AI is frequently used in many sectors such …