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GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance

Date

Date

Date
2025
Journal Article
Published version

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Citation copied

Karaman, K., Jiang, Y., Robert, D., Sainte Fare Garnot, V., Santos, M. J., & Wegner, J. D. (2025). GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-G-2025, 487–494. https://doi.org/10.5194/isprs-annals-x-g-2025-487-2025

Abstract

Abstract

Abstract

Accurate Above-Ground Biomass (AGB) mapping at both large scale and high spatio-temporal resolution is essential for applications ranging from climate modeling to biodiversity assessment, and sustainable supply chain monitoring. At present, fine-grained AGB mapping relies on costly airborne laser scanning acquisition campaigns usually limited to regional scales. Initiatives such as the ESA CCI map attempt to generate global biomass products from diverse spaceborne sensors but at a coarser resolution. To enable global, high-resolution

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Creators (Authors)

  • Karaman, Kaan
  • Jiang, Yuchang
  • Robert, Damien
  • Sainte Fare Garnot, Vivien
  • Santos, Maria Joao
  • Wegner, Jan Dirk

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
X-G-2025

Page range/Item number

Page range/Item number

Page range/Item number
487

Page end

Page end

Page end
494

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2025-07-10

Date available

Date available

Date available
2026-01-23

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2196-6346

OA Status

OA Status

OA Status
Gold

Free Access at

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Free Access at
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Karaman, K., Jiang, Y., Robert, D., Sainte Fare Garnot, V., Santos, M. J., & Wegner, J. D. (2025). GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-G-2025, 487–494. https://doi.org/10.5194/isprs-annals-x-g-2025-487-2025

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