Light detection and ranging (lidar) data acquired from airborne or spaceborne platforms
have revolutionized measurement and map** of forest attributes. Airborne data are often …

Green fractional vegetation cover (fc) is an important phenotypic factor in the fields of
agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation …

In recent years, a plethora of approaches have been proposed to deal with the increasingly
challenging task of multi‐output regression. This study provides a survey on state‐of‐the‐art …

Anthropogenic activities in coastal regions are endangering marine ecosystems. Coastal
waters classified as case-II waters are especially complex due to the presence of different …

Digital map** of soil organic carbon (SOC) is crucial to evaluate its spatial variability and
also to assess environmental factors controlling it at field scale. The current study was …

In this paper, we address the task of learning models for predicting structured outputs. We
consider both global and local predictions of structured outputs, the former based on a …

Forest ecosystem resilience is of considerable interest worldwide, particularly given the
climate crisis, biodiversity loss, and recent instances of zoonotic diseases linked to …

Forest height is an important forest biophysical parameter which is used to derive important
information about forest ecosystems, such as forest above ground biomass. In this paper, the …

Many forest management activities, including the development of forest inventories, require
spatially detailed forest canopy cover and height data. Among the various remote sensing …

Forests are increasingly subject to a number of disturbances that can adversely influence
their health. Remote sensing offers an efficient alternative for assessing and monitoring …