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[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 …
[HTML][HTML] LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems
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) …
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
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 …
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
The abundance and diversity of plants and insects are important indicators of biodiversity,
overall ecosystem health and agricultural production. Bees in particular are interesting …
overall ecosystem health and agricultural production. Bees in particular are interesting …
Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach
The ecosystem services offered by pollinators are vital for supporting agriculture and
ecosystem functioning, with bees standing out as especially valuable contributors among …
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) …
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 …
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?
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 …
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 …
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 …
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 …
connectivity, data storage and processor speed. AI is frequently used in many sectors such …