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Montero D, Aybar C, Mahecha MD, Martinuzzi F, Söchting M, Wieneke S. A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research. Sci Data 2023; 10:197. [PMID: 37031236 PMCID: PMC10082855 DOI: 10.1038/s41597-023-02096-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/21/2023] [Indexed: 04/10/2023] Open
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 However, most of these resources are either closed-source, outdated, unconnected to a catalogue or lacking a common Application Programming Interface (API).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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Affiliation(s)
- David Montero
- Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Leipzig, 04103, Germany.
| | - César Aybar
- Image Processing Laboratory, University of Valencia, Valencia, 46980, Spain
- High Mountain Ecosystem Research Group, National University of San Marcos, 15081, Lima, Peru
| | - Miguel D Mahecha
- Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Leipzig, 04103, Germany
- Helmholtz Centre for Environmental Research, Leipzig, 04318, Germany
- Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, 04105, Germany
| | - Francesco Martinuzzi
- Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Leipzig, 04103, Germany
- Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, 04105, Germany
| | - Maximilian Söchting
- Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Leipzig, 04103, Germany
- Image and Signal Processing Group, Leipzig University, Leipzig, 04109, Germany
| | - Sebastian Wieneke
- Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Leipzig, 04103, Germany
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Abd Ellah RG, Sparavigna AC. Combining bathymetric measurements, RS, and GIS technologies for monitoring the inland water basins: A case study of Toshka Lakes, Egypt. THE EGYPTIAN JOURNAL OF AQUATIC RESEARCH 2023; 49:1-8. [DOI: 10.1016/j.ejar.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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