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Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands

https://doi.org/10.1002/rse2.244
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Outgoing claims: the papers this work cites, builds on, or argues with.

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What points at this work

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

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Uncovering the hidden: Leveraging sub-pixel spectral diversity to estimate plant diversity from space
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.2024.114507openalex-snapshot
Evaluating the utility of hyperspectral data to monitor local-scale β-diversity across space and time
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.2024.114583openalex-snapshot
Mapping the spatial distribution of species using airborne and spaceborne imaging spectroscopy: A case study of invasive plants
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.rse.2026.115688openalex-snapshot
Uncertainties in optical remote sensing of plant diversity
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.175084openalex-snapshot
Long-term grassland diversity-productivity relationship regulated by management regimes in northern China
inferred← citeshttps://doi.org/10.1029/2022jg007350openalex-snapshot
Effects of Spatial Resolution, Mapping Window Size, and Spectral Species Clustering on Remote Sensing of Plant Beta Diversity Using biodivMapR and Hyperspectral Imagery
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/10.1029/2025jg009096openalex-snapshot
Advancing Mediterranean Biodiversity Monitoring in South Africa Through Machine Learning and Cost‐Effective UAS Imagery
inferred← citeshttps://doi.org/10.1038/s41467-022-30369-6openalex-snapshot
Plant beta-diversity across biomes captured by imaging spectroscopy
inferred← citeshttps://doi.org/10.1038/s41598-023-50308-9openalex-snapshot
Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach
inferred← citeshttps://doi.org/10.1080/01431161.2024.2410959openalex-snapshot
Estimating plant β-diversity using airborne and spaceborne imaging spectroscopy
inferred← citeshttps://doi.org/10.1080/01431161.2025.2464958openalex-snapshot
eDNA biodiversity from space: predicting soil bacteria and fungi alpha diversity in forests using DESIS satellite remote sensing
inferred← citeshttps://doi.org/10.1080/14498596.2023.2229274openalex-snapshot
Fusion of PlanetScope and Sentinel 2 in assessing foliar C:N ratio in a rangeland
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/10.1101/2022.09.05.506583openalex-snapshot
The relationship between spectral and plant diversity: disentangling the influence of metrics and habitat types
inferred← citeshttps://doi.org/10.1109/jstars.2023.3325926openalex-snapshot
Effects of Atmospheric, Topographic, and BRDF Correction on Imaging Spectroscopy-Derived Data Products
inferred← citeshttps://doi.org/10.1109/jstars.2025.3595365openalex-snapshot
BNResNet: Batch Normalization-Inspired Deep Bottleneck Residual Architecture for Aerial Scene Recognition in Low-Contrast Remote Sensing Images
inferred← citeshttps://doi.org/10.1111/2041-210x.14163openalex-snapshot
A generalizable normalization for assessing plant functional diversity metrics across scales from remote sensing
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/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/jvs.13239openalex-snapshot
Plant spectral diversity from high‐resolution multispectral imagery detects functional diversity patterns in coastal dune communities
inferred← citeshttps://doi.org/10.1126/sciadv.adr0278openalex-snapshot
Plant diversity across dimensions: Coupling biodiversity measures from the ground and the sky
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/10.1186/s40462-024-00521-6openalex-snapshot
Remote sensing reveals the role of forage quality and quantity for summer habitat use in red deer
inferred← citeshttps://doi.org/10.17520/biods.2022530openalex-snapshot
The outlook and system construction for monitoring Essential Biodiversity Variables based on remote sensing: The case of China
inferred← citeshttps://doi.org/10.20868/upm.thesis.74341openalex-snapshot
Remote sensing assessment of land use and crop parameters in irrigated systems
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/d14010008openalex-snapshot
Monitoring Plant Diversity to Support Agri-Environmental Schemes: Evaluating Statistical Models Informed by Satellite and Local Factors in Southern European Mountain Pastoral Systems
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/geographies2020021openalex-snapshot
Analysis of Unmanned Aerial System (UAS) Sensor Data for Natural Resource Applications: A Review
inferred← citeshttps://doi.org/10.3390/rs14030671openalex-snapshot
Assessing the Impact of Soil on Species Diversity Estimation Based on UAV Imaging Spectroscopy in a Natural Alpine Steppe
inferred← citeshttps://doi.org/10.3390/rs14143399openalex-snapshot
Estimating Community-Level Plant Functional Traits in a Species-Rich Alpine Meadow Using UAV Image Spectroscopy
inferred← citeshttps://doi.org/10.3390/rs14194933openalex-snapshot
Use of Remote Sensing Techniques to Estimate Plant Diversity within Ecological Networks: A Worked Example
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/rs16244726openalex-snapshot
An Evaluation of the Performance of Remote Sensing Indices as an Indication of Spatial Variability and Vegetation Diversity in Alpine Grassland
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/10.3390/rs18050709openalex-snapshot
High-Precision Crop Identification and Feature Contribution Mechanism in Plateau Mountainous Regions Based on Adaptive Geographic Partitioning and Local Modeling
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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