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Academic Journal

Assessment of the Usefulness of Spectral Bands for the Next Generation of Sentinel-2 Satellites by Reconstruction of Missing Bands

Subjects: spectral bands; Sentinel-2; regression

  • Source: ISSN: 2072-4292 ; Remote Sensing ; https://hal.science/hal-04186311 ; Remote Sensing, 2022, 14 (10), pp.2503. ⟨10.3390/rs14102503⟩.

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Conference

Getting NDVI spectral bands from a single standard RGB digital camera: a methodological approach

Subjects: ANALYSE SPECTRALE; VUE AERIENNE; INFRAROUGELa Laguna; Spain

  • Source: CAEPIA 2011, LNAI 7023 ; 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011 ; https://hal.science/hal-00648439 ; 14th Conference of the Spanish Association for

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Conference

Spectral band selection for urban material classification using hyperspectral libraries

Subjects: multispectral; classification; feature selectionPrague; Czech Republic

  • Source: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 23. ISPRS Congress ; https://hal.science/hal-01601083 ; 23. ISPRS Congress, International Society for

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Academic Journal

Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning

Subjects: cover crops biomass; remote sensing; time series

  • Source: ISSN: 2072-4292 ; Remote Sensing ; https://hal.science/hal-04774229 ; Remote Sensing, 2024, 16 (5), pp.834. ⟨10.3390/rs16050834⟩.

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Conference

CAMCATT: A multisensory experiment over Toulouse, France, to validate TRISHNA urban products

Subjects: THRISNA space program; Hyperspectral imagery; Multispectral thermal infrared imageryFrascati (Rome); Italy

  • Source: ESA THERMAL 2023 ; https://hal.science/hal-04829051 ; ESA THERMAL 2023, European Space Agency, May 2023, Frascati (Rome), Italy ; https://thermal2023.esa.int/agenda/

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Academic Journal

Sentinel-2 Poplar Index for Operational Mapping of Poplar Plantations over Large Areas

Subjects: forest; populus; spectral index

  • Source: ISSN: 2072-4292 ; Remote Sensing ; https://hal.inrae.fr/hal-03772357 ; Remote Sensing, 2022, 14 (16), ⟨10.3390/rs14163975⟩.

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