Remote sensing is widely used to detect forest disturbances (eg, wildfires, harvest, or
outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture …

The Landsat multispectral time series is a valuable source of moderate spatial resolution
data to support forest mapping and monitoring tasks. Using United States Department of …

Anthropogenic activities, climate variability and environmental stresses have greatly affected
forest ecosystems globally. Thus, monitoring of forest health is essential for proper planning …

Peatlands throughout the boreal forest are expected to experience changes in precipitation,
evapotranspiration and temperature due to climate change. Correspondingly, changes in …

European coniferous forests are currently threatened by bark beetles (eg Ips typographus)
because of an increasing incidence of triggering factors, such as drought and windstorms …

We present a methodology based on the System of Environmental-Economic Accounting-
Ecosystems Accounting (SEEA-EA) framework to measure urban ecosystem condition …

In this study, remote sensing and geographic information systems were used to assess the
influence of land cover characteristics on the water quality of the El Guájaro reservoir, in …

Climate change is expected to affect forests' growth and functioning and to increase their
vulnerability to stressors such as prolonged drought and pest outbreaks. Identifying …

Spatial epidemiology tools play a critical role in effectively allocating resources to curb the
spread of animal diseases. This study focuses on classical scrapie (CS), an animal prion …

National forest inventories (NFIs) were initiated to collect information that could be used to
ensure sustainable use of wood resources. As the forest functions of interest broadened, a …