[HTML][HTML] Remote sensing of peatland degradation in temperate and boreal climate zones–A review of the potentials, gaps, and challenges

F de Waard, J Connolly, A Barthelmes, H Joosten… - Ecological …, 2024 - Elsevier
Peatland degradation causes a number of environmental problems ranging from
greenhouse gas (GHG) emissions to subsidence and ecosystem loss. Degraded peatlands …

Enhancing peatland monitoring through multisource remote sensing: optical and radar data applications

G Ghazaryan, L Krupp, S Seyfried… - … Journal of Remote …, 2024 - Taylor & Francis
Peatlands play a pivotal role in global carbon cycling and the conservation of biodiversity
even though they cover a small fraction of the Earth's terrestrial surface. These ecosystems …

[HTML][HTML] Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns

Y Pang, A Räsänen, F Wolff, T Tahvanainen… - International Journal of …, 2024 - Elsevier
Northern peatland vegetation exhibits fine-scale spatial and spectral heterogeneity that can
potentially be captured with uncrewed aerial vehicle (UAV) data due to their ultra-high …

[HTML][HTML] Learning the variations in annual spectral-temporal metrics to enhance the transferability of regression models for land cover fraction monitoring

VD Pham, F Thiel, D Frantz, A Okujeni, F Schug… - Remote Sensing of …, 2024 - Elsevier
Monitoring the Earth by annually mapping land cover (LC) fractions helps to better
understand the ongoing processes and changes of land use and land management. At 10 to …

[HTML][HTML] Hyperspectral characterization of vegetation in hemiboreal, boreal and Arctic peatlands using a geographically extensive field dataset

SS Salko, A Hovi, I Burdun, J Juola, M Rautiainen - Ecological Informatics, 2024 - Elsevier
Northern peatlands store up to 25% of global soil organic carbon and function as important
hotspots for biodiversity. However, they are facing degradation from climate change driven …

Assessing carbon accumulation through peat vertical displacement: The influence of climate and land use across diverse peatland characteristics

P Ghezelayagh, MR Eini, M Grygoruk - Science of The Total Environment, 2025 - Elsevier
With their net carbon accumulation determined by the balance between gross ecosystem
productivity (GEP) and carbon losses (from processes such as oxidation and …

[HTML][HTML] Retrieval of moisture content of common Sphagnum peat moss species from hyperspectral and multispectral data

S Karlqvist, I Burdun, SS Salko, J Juola… - Remote Sensing of …, 2024 - Elsevier
Peatlands store enormous amounts of carbon in a peat layer, the formation and preservation
of which can only occur under waterlogged conditions. Monitoring peatland moisture …

Enhancing vegetation formation classification: Integrating coarse-scale traditional mapping knowledge and advanced machine learning

T Zhang, B Li, Y Yuan, X Gao, J Zhou, Y Jiang… - Science of The Total …, 2024 - Elsevier
Mapping vegetation formation types in large areas is crucial for ecological and
environmental studies. However, this is still challenging to distinguish similar vegetation …

Development of a spectral repository for the identification of western Himalayan medicinal plants using machine learning techniques

KC Kandpal, S Anchal, A Verma, A Kumar - Biosystems Engineering, 2025 - Elsevier
The identification of medicinal plant species is a crucial task for assessing the status of our
bioresources. Conventional methods primarily rely on taxonomy and laboratory-based …

[HTML][HTML] A multi-source approach to mapping habitat diversity: Combination of multi-date multispectral satellite imagery and comparison with single-date hyperspectral …

C Zabeo, GV Laurin, BG Tesfamariam, D Giuliarelli… - Ecological …, 2024 - Elsevier
The increasing availability of spaceborne hyperspectral satellite imagery opens new
opportunities for forest habitat mapping and monitoring, but the limitation of its generally low …