Land use effects on climate: current state, recent progress, and emerging topics

J Pongratz, C Schwingshackl, S Bultan… - Current Climate Change …, 2021 - Springer
Abstract Purpose of Review As demand for food and fiber, but also for negative emissions,
brings most of the Earth's land surface under management, we aim to consolidate the …

Challenges and lessons learned for REDD+ finance and its governance

K Morita, K Matsumoto - Carbon Balance and Management, 2023 - Springer
Discussion on reducing emissions from deforestation in developing countries began at the
United Nations Framework Convention on Climate Change (UNFCCC) Conference of the …

Remote sensing-based biomass estimation of dry deciduous tropical forest using machine learning and ensemble analysis

C Singh, SK Karan, P Sardar, SR Samadder - Journal of Environmental …, 2022 - Elsevier
Forests play a vital role in maintaining the global carbon balance. However, globally, forest
ecosystems are increasingly threatened by climate change and deforestation in recent …

Uncertainties in deforestation emission baseline methodologies and implications for carbon markets

HC Teo, NHL Tan, Q Zheng, AJY Lim, R Sreekar… - Nature …, 2023 - nature.com
Carbon credits generated through jurisdictional-scale avoided deforestation projects require
accurate estimates of deforestation emission baselines, but there are serious challenges to …

Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting

A Araza, S De Bruin, L Hein, M Herold - Scientific Reports, 2023 - nature.com
Countries have pledged to different national and international environmental agreements,
most prominently the climate change mitigation targets of the Paris Agreement. Accounting …

[HTML][HTML] Quantifying negative radiative forcing of non-permanent and permanent soil carbon sinks

J Leifeld, SG Keel - Geoderma, 2022 - Elsevier
Reversibility of soil carbon sinks is a major obstacle in assigning soil carbon sequestration
as negative emission technology and it is still unclear how a non-permanent CO 2 removal …

Advancing forest carbon stocks' mapping using a hierarchical approach with machine learning and satellite imagery

S Illarionova, P Tregubova, I Shukhratov, D Shadrin… - Scientific Reports, 2024 - nature.com
Remote sensing of forests is a powerful tool for monitoring the biodiversity of ecosystems,
maintaining general planning, and accounting for resources. Various sensors bring together …

[HTML][HTML] Exploring characteristics of national forest inventories for integration with global space-based forest biomass data

K Nesha, M Herold, V De Sy, S De Bruin… - Science of the Total …, 2022 - Elsevier
National forest inventories (NFIs) are a reliable source for national forest measurements.
However, they are usually not developed for linking with remotely sensed (RS) biomass …

Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia

RN Masolele, V De Sy, D Marcos… - GIScience & Remote …, 2022 - Taylor & Francis
National-scale assessments of post-deforestation land-use are crucial for decreasing
deforestation and forest degradation-related emissions. In this research, we assess the …

[HTML][HTML] A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India

K Ayushi, KN Babu, N Ayyappan, JR Nair… - Ecological …, 2024 - Elsevier
Accurate assessment of aboveground biomass (AGB) in tropical forests, particularly within a
biodiversity hotspot, is vital for sustainable resource management and the preservation of …