Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression DOI Creative Commons
Dávid Kovács, Pablo Reyes-Muñoz, Katja Berger

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102816 - 102816

Published: Sept. 1, 2024

Language: Английский

Progress and Limitations in Forest Carbon Stock Estimation Using Remote Sensing Technologies: A Comprehensive Review DOI Open Access
Weifeng Xu,

Yu-Hao Cheng,

Mengyuan Luo

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 449 - 449

Published: March 2, 2025

Forests play a key role in carbon sequestration and oxygen production. They significantly contribute to peaking neutrality goals. Accurate estimation of forest stocks is essential for precise understanding the capacity ecosystems. Remote sensing technology, with its wide observational coverage, strong timeliness, low cost, stock research. However, challenges data acquisition processing include variability, signal saturation dense forests, environmental limitations. These factors hinder accurate estimation. This review summarizes current state research on from two aspects, namely remote methods, highlighting both advantages limitations various sources models. It also explores technological innovations cutting-edge field, focusing deep learning techniques, optical vegetation thickness impact forest–climate interactions Finally, discusses including issues related quality, model adaptability, stand complexity, uncertainties process. Based these challenges, paper looks ahead future trends, proposing potential breakthroughs pathways. The aim this study provide theoretical support methodological guidance researchers fields.

Language: Английский

Citations

1
Modeling 3D radiative transfer for maize traits retrieval: A growth stage-dependent study on hyperspectral sensitivity to field geometry, soil moisture, and leaf biochemistry DOI Creative Commons

Romain Démoulin,

Jean‐Philippe Gastellu‐Etchegorry, Sidonie Lefèbvre

et al.

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 327, P. 114784 - 114784

Published: May 24, 2025

Language: Английский

Citations

0
Inversion of biophysical parameters of potato based on an active learning pool-based sampling strategy DOI
Yuanyuan Ma, Xiaoyu Song, Jie Zhang

et al.

International Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: Oct. 22, 2024

Language: Английский

Citations

2
Optimizing hybrid models for canopy nitrogen mapping from Sentinel-2 in Google Earth Engine DOI Creative Commons

Emma De Clerck,

Dávid Kovács, Katja Berger

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 218, P. 530 - 545

Published: Nov. 22, 2024

Language: Английский

Citations

2
Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression DOI Creative Commons
Dávid Kovács, Pablo Reyes-Muñoz, Katja Berger

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102816 - 102816

Published: Sept. 1, 2024

Language: Английский

Citations

1