ArticleScientific data2023
A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
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- SGM-DETR: Semantic-Guided and Feature-Refined Transformer for Pine Wilt Disease Detection in Satellite Imagery.Plants (Basel, Switzerland) · 2026Article
- Estimation of leaf nitrogen content in fruit trees within Arid Oasis Orchards using UAV-based spectral-texture fusion.BMC plant biology · 2026Article
- HU-EnviroGrids: A Gridded Environmental Dataset for Spatial Analysis and Modelling at country scale in Hungary.Scientific data · 2026Article
- Machine learning-based geospatial assessment of forest structure characteristics and sequestration potential for informed carbon stocks inventories.Scientific reports · 2026Article
- A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018-2022.Scientific data · 2026Article
- Macronutrient deficiency reduces growth and influences vegetation indices of greenhouse grown ornamental and vegetable plants as measured by the TraitFinder digital phenotyping system.Frontiers in plant science · 2026Article
- Decoding spatiotemporal dynamics of suspended sediment and vegetation in shallow reservoirs with Sentinel-2 and ANNs: A case study of Lake Tisza, Hungary.Environmental monitoring and assessment · 2025Article
- High-resolution maps of rice cropping intensity across Southeast Asia.Scientific data · 2025Article
- Remote Sensing and Landcover in Ring-Necked Pheasant Research: A Review of Data Sources and Scales.Ecology and evolution · 2025Review
- Detecting olive quick decline syndrome: A satellite-based dataset for a case study in Apulia Region.Data in brief · 2025Article
- Population Genetics Meets Ecology: A Guide to Individual-Based Simulations in Continuous Landscapes.Ecology and evolution · 2025Article
- Spatial patterns of water quality and remote sensing indices from UAV-based multispectral imagery across an irrigation pond.Heliyon · 2025Article
- Capacity and capability of remote sensing to inform invasive plant species management in the Pacific Islands region.Conservation biology : the journal of the Society for Conservation Biology · 2025Review
- DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts.Scientific data · 2025Article
- Potential of terrestrial laser scanning for characterizing forest regeneration: A review and an experimental case study.Open research Europe · 2025Article
- Article
- Spectral Reflectance Measurements.Methods in molecular biology (Clifton, N.J.) · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spectral Indices derived from multispectral remote sensing products are extensively used to monitor Earth system dynamics (e.g. vegetation dynamics, water bodies, fire regimes). The rapid increase of proposed spectral indices led to a high demand for catalogues of spectral indices and tools for their computation. However, most of these resources are either closed-source, outdated, unconnected to a catalogue or lacking a common Application Programming Interface (API). Here we present "Awesome Spectral Indices" (ASI), a standardized catalogue of spectral indices for Earth system research. ASI provides a comprehensive machine readable catalogue of spectral indices, which is linked to a Python library. ASI delivers a broad set of attributes for each spectral index, including names, formulas, and source references. The catalogue can be extended by the user community, ensuring that ASI remains current and enabling a wider range of scientific applications. Furthermore, the Python library enables the application of the catalogue to real-world data and thereby facilitates the efficient use of remote sensing resources in multiple Earth system domains.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.