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About the link between biodiversity and spectral variation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/eap.1669openalex-snapshot

The spatial sensitivity of the spectral diversity–biodiversity relationship: an experimental test in a prairie grassland

inferredcites →https://doi.org/10.1002/env.516openalex-snapshot

Quantitative tools for perfecting species lists

inferredcites →https://doi.org/10.1002/rse2.188openalex-snapshot

Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation

inferredcites →https://doi.org/10.1002/rse2.86openalex-snapshot

Differentiating plant functional types using reflectance: which traits make the difference?

inferredcites →https://doi.org/10.1007/978-3-319-27288-7openalex-snapshot

The GEO Handbook on Biodiversity Observation Networks

inferredcites →https://doi.org/10.1007/s10661-016-5547-1openalex-snapshot

Estimating impacts of plantation forestry on plant biodiversity in southern Chile—a spatially explicit modelling approach

inferredcites →https://doi.org/10.1016/j.agrformet.2014.08.001openalex-snapshot

Impact of understorey on overstorey leaf area index estimation from optical remote sensing in five forest types in northeastern China

inferredcites →https://doi.org/10.1016/j.ecoinf.2010.06.001openalex-snapshot

Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges

inferredcites →https://doi.org/10.1016/j.ecoinf.2010.12.004openalex-snapshot

On variable relations between vegetation patterns and canopy reflectance

inferredcites →https://doi.org/10.1016/j.ecolind.2019.105882openalex-snapshot

Assessing the impact of an invasive bryophyte on plant species richness using high resolution imaging spectroscopy

inferredcites →https://doi.org/10.1016/j.ecolind.2020.107062openalex-snapshot

The retrieval of plant functional traits from canopy spectra through RTM-inversions and statistical models are both critically affected by plant phenology

inferredcites →https://doi.org/10.1016/j.isprsjprs.2020.12.010openalex-snapshot

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

inferredcites →https://doi.org/10.1016/j.rse.2004.05.004openalex-snapshot

Mapping of continuous floristic gradients in grasslands using hyperspectral imagery

inferredcites →https://doi.org/10.1016/j.rse.2006.03.002openalex-snapshot

Reflectance quantities in optical remote sensing—definitions and case studies

inferredcites →https://doi.org/10.1016/j.rse.2008.01.026openalex-snapshot

PROSPECT+SAIL models: A review of use for vegetation characterization

inferredcites →https://doi.org/10.1016/j.rse.2015.06.006openalex-snapshot

Application of hyperspectral remote sensing for flower mapping in African savannas

inferredcites →https://doi.org/10.1016/j.rse.2016.08.013openalex-snapshot

Review of studies on tree species classification from remotely sensed data

inferredcites →https://doi.org/10.1016/j.rse.2016.08.022openalex-snapshot

Landsat 5 Thematic Mapper reflectance and NDVI 27-year time series inconsistencies due to satellite orbit change

inferredcites →https://doi.org/10.1016/j.rse.2017.01.036openalex-snapshot

The spectral variability hypothesis does not hold across landscapes

inferredcites →https://doi.org/10.1016/j.rse.2019.111218openalex-snapshot

Remote sensing of terrestrial plant biodiversity

inferredcites →https://doi.org/10.1016/s0169-5347(01)02283-2openalex-snapshot

Vive la différence: plant functional diversity matters to ecosystem processes

inferredcites →https://doi.org/10.1038/523403aopenalex-snapshot

Environmental science: Agree on biodiversity metrics to track from space

inferredcites →https://doi.org/10.1038/s41559-018-0551-1openalex-snapshot

Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function

inferredcites →https://doi.org/10.1038/s41559-021-01451-xopenalex-snapshot

Priority list of biodiversity metrics to observe from space

inferredcites →https://doi.org/10.1038/s41598-019-55490-3openalex-snapshot

The pitfalls of biodiversity proxies: Differences in richness patterns of birds, trees and understudied diversity across Amazonia

inferredcites →https://doi.org/10.1080/01431169008955002openalex-snapshot

Remote sensing of temperate coniferous forest leaf area index The influence of canopy closure, understory vegetation and background reflectance

inferredcites →https://doi.org/10.1093/forestry/cpaa048openalex-snapshot

Multitemporal hyperspectral tree species classification in the Białowieża Forest World Heritage site

inferredcites →https://doi.org/10.1111/2041-210x.12941openalex-snapshot

Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring

inferredcites →https://doi.org/10.1111/geb.13270openalex-snapshot

From zero to infinity: Minimum to maximum diversity of the planet by spatio‐parametric Rao’s quadratic entropy

inferredcites →https://doi.org/10.1111/j.1469-8137.2010.03310.xopenalex-snapshot

Drought impacts on the Amazon forest: the remote sensing perspective

inferredcites →https://doi.org/10.1111/j.1469-8137.2010.03536.xopenalex-snapshot

Sources of variability in canopy reflectance and the convergent properties of plants

inferredcites →https://doi.org/10.1111/j.2006.0906-7590.04272.xopenalex-snapshot

Post‐fire recovery of ant communities in Submediterranean Pinus nigra forests

inferredcites →https://doi.org/10.1126/science.1162055openalex-snapshot

Toward a Global Biodiversity Observing System

inferredcites →https://doi.org/10.1126/science.1229931openalex-snapshot

Essential Biodiversity Variables

inferredcites →https://doi.org/10.1371/journal.pone.0106613openalex-snapshot

Detecting Leaf Pulvinar Movements on NDVI Time Series of Desert Trees: A New Approach for Water Stress Detection

inferredcites →https://doi.org/10.1890/13-1824.1openalex-snapshot

Mapping tropical forest canopy diversity using high‐fidelity imaging spectroscopy

inferredcites →https://doi.org/10.1890/es10-00206.1openalex-snapshot

Species diversity and functional diversity relationship varies with disturbance intensity

inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot

R: A Language and Environment for Statistical Computing

inferredcites →https://doi.org/10.3389/fpls.2017.00887openalex-snapshot

Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4848573openalex-extracted

Spectral Diversity as a Predictor of Tree Diversity: Exploring Challenges and Opportunities Across Various Forest Ecosystems

inferred← citeshttps://doi.org/10.1002/2688-8319.12365openalex-snapshot

High‐resolution spectral data predict taxonomic diversity in low diversity grasslands

inferred← citeshttps://doi.org/10.1002/ece3.71829openalex-snapshot

Remote Sensing of Grassland Plant Biodiversity and Functional Traits

inferred← citeshttps://doi.org/10.1002/ece3.9623openalex-snapshot

Short‐range multispectral imaging is an inexpensive, fast, and accurate approach to estimate biodiversity in a temperate calcareous grassland

inferred← citeshttps://doi.org/10.1002/ecm.1605openalex-snapshot

Linking aerial hyperspectral data to canopy tree biodiversity: An examination of the spectral variation hypothesis

inferred← citeshttps://doi.org/10.1002/ecs2.70569openalex-snapshot

Remote sensing and geospatial analysis for the study of plant community regeneration in human‐modified landscapes

inferred← citeshttps://doi.org/10.1002/rse2.306openalex-snapshot

Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection

inferred← citeshttps://doi.org/10.1002/rse2.370openalex-snapshot

Assessing plant trait diversity as an indicators of species α‐ and β‐diversity in a subalpine grassland of the Italian Alps

inferred← citeshttps://doi.org/10.1002/rse2.383openalex-snapshot

Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution

inferred← citeshttps://doi.org/10.1002/rse2.70013openalex-snapshot

Hyperspectral imaging has a limited ability to remotely sense the onset of beech bark disease

inferred← citeshttps://doi.org/10.1002/rse2.70034openalex-snapshot

Spectral characterization of plant diversity in a biodiversity‐enriched oil palm plantation

inferred← citeshttps://doi.org/10.1007/s10980-025-02186-xopenalex-snapshot

Land-use intensity effects on the biodiversity-ecosystem functioning relationship in semi-natural grasslands at management-relevant spatial scales

inferred← citeshttps://doi.org/10.1007/s10980-025-02240-8openalex-snapshot

Mapping plant diversity in a northern boreal landscape using remotely sensed spectral variation

inferred← citeshttps://doi.org/10.1007/s11252-025-01886-1openalex-snapshot

Assessing urban herbaceous plant biodiversity using drone remote sensing: the trade-offs of spatial resolution

inferred← citeshttps://doi.org/10.1007/s12080-024-00587-3openalex-snapshot

On the mathematical properties of spatial Rao’s Q to compute ecosystem heterogeneity

inferred← citeshttps://doi.org/10.1007/s41976-026-00299-8openalex-snapshot

Differences in Spectral Properties of Mediterranean Coastal Habitats and Their Relationships to Communities’ Functional Composition

inferred← citeshttps://doi.org/10.1007/s42974-022-00113-7openalex-snapshot

Double down on remote sensing for biodiversity estimation: a biological mindset

inferred← citeshttps://doi.org/10.1016/j.atech.2026.102313openalex-snapshot

Development of a predictive modeling framework using hyperspectral images to assess grape biochemical quality

inferred← citeshttps://doi.org/10.1016/j.earscirev.2024.104709openalex-snapshot

Interactions between vegetation and river morphodynamics. Part II: Why is a functional trait framework important?

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102589openalex-snapshot

“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102702openalex-snapshot

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

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.103253openalex-snapshot

How spatial resolution mediates canopy spectral diversity as a proxy for marsh plant diversity

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103636openalex-snapshot

Benchmarking remote sensing methods to capture plant functional diversity from space

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103931openalex-snapshot

Cross-scale species diversity estimation of tropical forest by integrating UAV and satellite data

inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.112367openalex-snapshot

Uncovering optimal vegetation indices for estimating wetland plant species diversity

inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.112823openalex-snapshot

Remotely sensed spectral variability predicts reef fish diversity

inferred← citeshttps://doi.org/10.1016/j.ecolind.2025.114046openalex-snapshot

Computing maps of forest structural diversity: Aggregate late

inferred← citeshttps://doi.org/10.1016/j.ecolind.2025.114348openalex-snapshot

Integrating multi-temporal information for monitoring plant spectral diversity with PlanetScope and Sentinel-2 satellite imagery

inferred← citeshttps://doi.org/10.1016/j.ecolind.2026.114732openalex-snapshot

Review of remote Sensing indices for monitoring environmental grassland indicators in Europe

inferred← citeshttps://doi.org/10.1016/j.foreco.2025.122987openalex-snapshot

A new lens on biodiversity assessment: The reliability of high-resolution remote sensing in investigating tree species diversity in old-growth forests

inferred← citeshttps://doi.org/10.1016/j.foreco.2025.123089openalex-snapshot

Mechanisms driving spectral properties and their associations with above-ground biomass dynamics in a temperate forest

inferred← citeshttps://doi.org/10.1016/j.indic.2023.100285openalex-snapshot

Remote sensing for monitoring rangeland condition: Current status and development of methods

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.12.028openalex-snapshot

Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.07.029openalex-snapshot

The importance of spatial scale and vegetation complexity in woody species diversity and its relationship with remotely sensed variables

inferred← citeshttps://doi.org/10.1016/j.jag.2024.103868openalex-snapshot

Satellite hyperspectral imagery reveals scale dependence of functional diversity patterns in a Qinghai-Tibetan alpine meadow

inferred← citeshttps://doi.org/10.1016/j.jag.2025.104902openalex-snapshot

Spectral heterogeneity from the spaceborne imaging spectrometer EnMAP reveals biodiversity patterns in forest ecosystems

inferred← citeshttps://doi.org/10.1016/j.jag.2026.105226openalex-snapshot

Mapping tree species diversity across the Amazon using remote sensing, diverse environmental data and machine learning

inferred← citeshttps://doi.org/10.1016/j.jaridenv.2026.105683openalex-snapshot

Applying the spectral variability hypothesis to arid shrublands using multispectral drone imagery

inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.123656openalex-snapshot

Understanding spatio-temporal complexity of vegetation using drones, what could we improve?

inferred← citeshttps://doi.org/10.1016/j.pld.2026.04.002openalex-snapshot

Assessing the performance of remotely sensed functional traits and spectral metrics for estimating multidimensional plant diversity in wetlands using UAV data

inferred← citeshttps://doi.org/10.1016/j.rsase.2024.101235openalex-snapshot

Farmland quality assessment using deep learning and UAVs

inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101676openalex-snapshot

Remotely sensed mapping of plant diversity in Earth's largest mangrove forests: Developing a spectral diversity metric with DESIS hyperspectral data and the ‘spectral species’ concept

inferred← citeshttps://doi.org/10.1016/j.rsase.2026.102103openalex-snapshot

Remote sensing-based assessment of alpha and beta diversity for mapping priority conservation areas in the Yucatán Peninsula

inferred← citeshttps://doi.org/10.1016/j.rse.2022.113170openalex-snapshot

Challenging the link between functional and spectral diversity with radiative transfer modeling and data

inferred← citeshttps://doi.org/10.1016/j.rse.2022.113254openalex-snapshot

Using airborne and DESIS imaging spectroscopy to map plant diversity across the largest contiguous tract of tallgrass prairie on earth

inferred← citeshttps://doi.org/10.1016/j.rse.2022.113262openalex-snapshot

Predicting plant biomass and species richness in temperate grasslands across regions, time, and land management with remote sensing and deep learning

inferred← citeshttps://doi.org/10.1016/j.rse.2022.113333openalex-snapshot

Remotely sensed carbon content: The role of tree composition and tree diversity

inferred← citeshttps://doi.org/10.1016/j.rse.2023.113576openalex-snapshot

Mapping tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data

inferred← citeshttps://doi.org/10.1016/j.rse.2023.113591openalex-snapshot

The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale

inferred← citeshttps://doi.org/10.1016/j.rse.2023.113661openalex-snapshot

Multi-grain habitat models that combine satellite sensors with different resolutions explain bird species richness patterns best

inferred← citeshttps://doi.org/10.1016/j.rse.2023.113958openalex-snapshot

Mapping functional diversity of canopy physiological traits using UAS imaging spectroscopy

inferred← citeshttps://doi.org/10.1016/j.rse.2023.113988openalex-snapshot

Is spectral pixel-to-pixel variation a reliable indicator of grassland biodiversity? A systematic assessment of the spectral variation hypothesis using spatial simulation experiments

inferred← citeshttps://doi.org/10.1016/j.rse.2024.114175openalex-snapshot

The value of hyperspectral UAV imagery in characterizing tundra vegetation

inferred← citeshttps://doi.org/10.1016/j.rse.2024.114582openalex-snapshot

Exploring spectral and phylogenetic diversity links with functional structure of aquatic plant communities

inferred← citeshttps://doi.org/10.1016/j.rse.2025.114907openalex-snapshot

Methodological considerations for studying spectral-plant diversity relationships

inferred← citeshttps://doi.org/10.1016/j.rse.2026.115501openalex-snapshot

Habitat-dependent and asymmetric drivers of spectral diversity–biodiversity relationships in temperate grasslands

inferred← citeshttps://doi.org/10.1016/j.srs.2023.100114openalex-snapshot

Estimation of fine-scale vegetation distribution information from RPAS-generated imagery and structure to aid restoration monitoring

inferred← citeshttps://doi.org/10.1029/2024ef004648openalex-snapshot

Remotely Sensed Variables Predict Grassland Diversity Better at Scales Below 1,000 km as Opposed to Abiotic Variables That Predict It Better at Larger Scales

inferred← citeshttps://doi.org/10.1038/s43247-023-01089-6openalex-snapshot

An intermediate level of disturbance with customary agricultural practices increases species diversity in Maya community forests in Belize

inferred← citeshttps://doi.org/10.1038/s43247-024-01712-0openalex-snapshot

Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations

inferred← citeshttps://doi.org/10.1080/01431161.2024.2334776openalex-snapshot

Mind the gaps: horizontal canopy structure affects the relationship between taxonomic and spectral diversity

inferred← citeshttps://doi.org/10.1080/01431161.2024.2410959openalex-snapshot

Estimating plant β-diversity using airborne and spaceborne imaging spectroscopy

inferred← citeshttps://doi.org/10.1080/07038992.2024.2403495openalex-snapshot

Spectral Diversity as a Predictor of Tree Diversity: Exploring Challenges and Opportunities Across Forest Ecosystems

inferred← citeshttps://doi.org/10.1080/10549811.2026.2668519openalex-snapshot

Integrating Textural Metrics and Spectral Indices to Upscale Ecological Indicators in Tailings-Impacted Atlantic Forest Landscapes: A Case Study in the Doce River Basin

inferred← citeshttps://doi.org/10.1080/14888386.2025.2460759openalex-snapshot

Assessing ecosystem services in protected areas: trade-offs and hotspots in Friuli Venezia Giulia region (northeastern Italy)

inferred← citeshttps://doi.org/10.1088/1748-9326/ad44b1openalex-snapshot

Exploring the spectral variation hypothesis for α- and β-diversity: a comparison of open vegetation and forests

inferred← citeshttps://doi.org/10.1088/1748-9326/ad545aopenalex-snapshot

Parcel level temporal variance of remotely sensed spectral reflectance predicts plant diversity

inferred← citeshttps://doi.org/10.1088/2515-7620/ad3c16openalex-snapshot

Patterns and trends in the spatial heterogeneity of land surface phenology of global forests

inferred← citeshttps://doi.org/10.1088/2752-664x/acf9a9openalex-snapshot

UAV-based height measurement and height–diameter model integrating taxonomic effects: exploring vertical structure of aboveground biomass and species diversity in a Malaysian tropical forest

inferred← citeshttps://doi.org/10.1088/2752-664x/ad87f9openalex-snapshot

Satellite remote sensing reveals the footprint of biodiversity on multiple ecosystem functions across the NEON eddy covariance network

inferred← citeshttps://doi.org/10.1093/forestry/cpad041openalex-snapshot

Integrating rapid assessment, variable probability sampling, and machine learning to improve accuracy and consistency in mapping local spatial distribution of plant species richness

inferred← citeshttps://doi.org/10.1093/jpe/rtaf026openalex-snapshot

Canopy properties predominately explain above-ground biomass stock in temperate forests

inferred← citeshttps://doi.org/10.1101/2022.09.05.506583openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/jstars.2024.3454271openalex-snapshot

ResNeTS: A ResNet for Time Series Analysis of Sentinel-2 Data Applied to Grassland Plant-Biodiversity Prediction

inferred← citeshttps://doi.org/10.1111/avsc.12677openalex-snapshot

Remote sensing for vegetation science: A virtual special issue on its power and challenges

inferred← citeshttps://doi.org/10.1111/avsc.12762openalex-snapshot

Using spectral diversity and heterogeneity measures to map habitat mosaics: An example from the Classical Karst

inferred← citeshttps://doi.org/10.1111/avsc.70030openalex-snapshot

Exploring Sentinel‐2‐Based Spectral Variability for Enhancing Grassland Diversity Assessments Across Germany

inferred← citeshttps://doi.org/10.1111/avsc.70050openalex-snapshot

Estimating Canopy Taxonomic Diversity Using Hyperspectral Data: Insights From Spectral Simulations in a Tropical Forest

inferred← citeshttps://doi.org/10.1111/ecog.07479openalex-snapshot

Coupling in situ and remote sensing data to assess α‐ and β‐diversity over biogeographic gradients

inferred← citeshttps://doi.org/10.1111/geb.13759openalex-snapshot

Making remote sense of biodiversity: What grassland characteristics make spectral diversity a good proxy for taxonomic diversity?

inferred← citeshttps://doi.org/10.1111/jbi.70239openalex-snapshot

Explaining Bird Richness With 30‐m Resolution Dynamic Habitat Indices Derived From Landsat Satellite Data Across the Conterminous US

inferred← citeshttps://doi.org/10.1111/jvs.13239openalex-snapshot

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

inferred← citeshttps://doi.org/10.1111/rec.70310openalex-snapshot

Assessing functional diversity and composition using multispectral images in Atlantic Forest restoration sites

inferred← citeshttps://doi.org/10.1134/s0010952523700703openalex-snapshot

Analysis of the Impact of Species Composition, Projective Cover, and Phytomass of Vegetation in Arid Pasture Landscapes on Their Spectral Reflectance Properties Based on Ground Measurements

inferred← citeshttps://doi.org/10.1186/s12862-026-02500-4openalex-snapshot

Predicting species diversity and community traits from remote sensing in species-rich grasslands

inferred← citeshttps://doi.org/10.21046/2070-7401-2023-20-3-176-192openalex-snapshot

Analysis of the influence of species composition, projective cover, and phytomass of arid landscape pasture vegetation on spectral reflectance properties based on ground measurements

inferred← citeshttps://doi.org/10.2139/ssrn.4892048openalex-snapshot

Remotely Sensed Mapping of Plant Diversity in Earth's Largest Mangrove Forests: Developing a Spectral Diversity Metric with Space-Based Hyperspectral Data and the 'Spectral Species' Concept

inferred← citeshttps://doi.org/10.32942/x24619openalex-snapshot

Satellite observations reveal positive relationship between trait-based diversity and drought response in temperate forests

inferred← citeshttps://doi.org/10.3389/fenvs.2025.1546771openalex-snapshot

Spectral diversity tracks initial restoration progress in the Eastern Amazon

inferred← citeshttps://doi.org/10.3389/fpls.2025.1582910openalex-snapshot

Species diversity estimation in a typical tropical forest: which phenological stage and spatial resolution are suitable?

inferred← citeshttps://doi.org/10.3390/d17080541openalex-snapshot

Geographically Weighted Regression Enhances Spectral Diversity–Biodiversity Relationships in Inner Mongolian Grasslands

inferred← citeshttps://doi.org/10.3390/environments13100536openalex-snapshot

A Trait-Based Framework for Monitoring Forest Land Use Intensity with Remote Sensing: A Conceptual Review

inferred← citeshttps://doi.org/10.3390/f15101683openalex-snapshot

Driving Factors of Forest Typological Diversity in the Moscow Region

inferred← citeshttps://doi.org/10.3390/f17010142openalex-snapshot

A Review of Remote Sensing Monitoring of Plant Diversity in Tropical Forests

inferred← citeshttps://doi.org/10.3390/land15101842openalex-snapshot

Spectral Scaling Effects of ZY1-02D Satellite Imagery on Landscape Diversity Assessment in the Yellow River Delta: Using Harmonic Analysis and Interpretable XGBoost

inferred← citeshttps://doi.org/10.3390/rs14153633openalex-snapshot

Mapping Plant Species in a Former Industrial Site Using Airborne Hyperspectral and Time Series of Sentinel-2 Data Sets

inferred← citeshttps://doi.org/10.3390/rs14215363openalex-snapshot

Forest Biodiversity Monitoring Based on Remotely Sensed Spectral Diversity—A Review

inferred← citeshttps://doi.org/10.3390/rs15030668openalex-snapshot

Prediction of Grassland Biodiversity Using Measures of Spectral Variance: A Meta-Analytical Review

inferred← citeshttps://doi.org/10.3390/rs16081451openalex-snapshot

Combining Multitemporal Optical and Radar Satellite Data for Mapping the Tatra Mountains Non-Forest Plant Communities

inferred← citeshttps://doi.org/10.3390/rs16234363openalex-snapshot

Biodiversity from the Sky: Testing the Spectral Variation Hypothesis in the Brazilian Atlantic Forest

inferred← citeshttps://doi.org/10.3390/rs17233873openalex-snapshot

Effects of Prescribed Fire on Spatial Patterns of Plant Functional Traits and Spectral Diversity Using Hyperspectral Imagery from Savannah Landscapes on the Edwards Plateau of Texas, USA

inferred← citeshttps://doi.org/10.5194/essd-18-2667-2026openalex-snapshot

A dataset on the structural diversity of European forests

inferred← citeshttps://doi.org/10.5194/gmd-18-8401-2025openalex-snapshot

BOSSE v1.0: the Biodiversity Observing System Simulation Experiment

inferred← citeshttps://doi.org/10.64898/2026.02.19.706857openalex-snapshot

Bridging the gaps between field-based ecology and remote sensing to estimate plant functional diversity: a systematic review

inferred← citeshttps://doi.org/10.70675/4f0971b9z238fz4907za95dz52263e5f84abopenalex-snapshot

Exploitation of multimodal optical data for mapping plant species according to their sensitivity to anthropogenic impacts

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