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 …
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 …
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
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 …
ecosystems are increasingly threatened by climate change and deforestation in recent …
Uncertainties in deforestation emission baseline methodologies and implications for carbon markets
Carbon credits generated through jurisdictional-scale avoided deforestation projects require
accurate estimates of deforestation emission baselines, but there are serious challenges to …
accurate estimates of deforestation emission baselines, but there are serious challenges to …
Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting
Countries have pledged to different national and international environmental agreements,
most prominently the climate change mitigation targets of the Paris Agreement. Accounting …
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
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 …
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
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 …
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
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 …
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
National-scale assessments of post-deforestation land-use are crucial for decreasing
deforestation and forest degradation-related emissions. In this research, we assess the …
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 …
biodiversity hotspot, is vital for sustainable resource management and the preservation of …