The uptake of machine learning (ML) algorithms in digital soil map** (DSM) is
transforming the way soil scientists produce their maps. Within the past two decades, soil …

What is benthic habitat map**, how is it accomplished, and how has that changed over
time? We query the published literature to answer these questions and synthesize the …

Flowing waters have a unique role in supporting global biodiversity, biogeochemical cycles
and human societies,,,–. Although the importance of permanent watercourses is well …

Floods are natural hazards that lead to devastating financial losses and large displacements
of people. Flood susceptibility maps can improve mitigation measures according to the …

Map** aboveground forest biomass is central for assessing the global carbon balance.
However, current large-scale maps show strong disparities, despite good validation statistics …

Abstract Machine learning algorithms have become very popular for spatial map** of the
environment due to their ability to fit nonlinear and complex relationships. However, this …

For decades scientists have produced maps of biological, ecological and environmental
variables. These studies commonly evaluate the map accuracy through cross-validation with …

During the last two decades, forest monitoring and inventory systems have moved from field
surveys to remote sensing-based methods. These methods tend to focus on economically …

Identification of flood-prone sites in urban environments is necessary, but there is insufficient
hydraulic information and time series data on surface runoff. To date, several attempts have …

Municipalities are increasingly acknowledging the importance of urban form interventions
that can reduce intra-city car travel in achieving more sustainable cities. Current academic …