Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

An accurate and spatially explicit estimation of biomass is required for sustainable forest
management, prevention of biodiversity loss, and carbon accounting for climate change …

The worldwide variation in vegetation height is fundamental to the global carbon cycle and
central to the functioning of ecosystems and their biodiversity. Geospatially explicit and …

The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest
inventory capacity. By combining multiple satellite observations of synthetic aperture radar …

Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …

Aim Global‐scale maps of the environment are an important source of information for
researchers and decision makers. Often, these maps are created by training machine …

Continuous large-scale mapping of forest canopy height is crucial for estimating and
reporting forest carbon content, analyzing forest degradation and restoration, or to model …

Abstract Nature‐based Climate Solutions (NbCS) are managed alterations to ecosystems
designed to increase carbon sequestration or reduce greenhouse gas emissions. While they …

Terrestrial ecosystems of Canada store a large amount of organic carbon (C) in soils, peats
and plant materials, yet little is known about the C stock size and distributions, both spatially …

National Aeronautics and Space Administration's (NASA's) Ice, Cloud, and land Elevation
Satellite-2 (ICESat-2) provides rich insights over the Earth's surface through elevation data …