Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …

Abstract Integrated Hydrological Models (IHMs) dynamically couple surface and
groundwater processes across the unsaturated zone domain. IHMs are data intensive and …

Across watershed science, two key variables emerge–streamflow and solute concentration–
which serve as the basis for efforts ranging from basic watershed biogeochemistry research …

An integral part of population monitoring within fisheries is ground‐based surveys of fish
redds. Remotely piloted vehicles or drones (RPVs) could provide a complementary method …

Measuring the outcome of practical interventions and actions helps to inform conservation
management objectives and assess progress towards objectives and targets. Measuring …

Unraveling the intricate spatial and temporal complexities of vegetation represents a crucial
key to understanding ecosystem functioning. Drones, as cutting-edge technology, hold …

An important consideration for UAV-based (unmanned aerial vehicle) object detection in the
natural environment is vegetation height and foliar cover, which can visually obscure the …

Canopy gaps are pivotal for monitoring forest ecosystem dynamics. Conventional field
methods are time-consuming and labor intensive, making them impractical for regional …

Accurate and precise measures of channel morphology are important when monitoring a
stream post-restoration to determine changes in stability, water quality, and aquatic habitat …

Streams are often “restored” to reduce sediment loading using one or a combination of
practices such as livestock exclusion, riparian plantings, and/or bank reshaping and …