[HTML][HTML] Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest …

AM Ågren, J Larson, SS Paul, H Laudon, W Lidberg - Geoderma, 2021 - Elsevier
Spatially extensive high-resolution soil moisture mapping is valuable in practical forestry
and land management, but challenging. Here we present a novel technique involving use of …

Landscape process domains drive patterns of CO2 evasion from river networks

G Rocher‐Ros, RA Sponseller… - Limnology and …, 2019 - Wiley Online Library
Streams are important emitters of CO2 but extreme spatial variability in their physical
properties can make upscaling very uncertain. Here, we determined critical drivers of stream …

[HTML][HTML] Groundwater discharge as a driver of methane emissions from Arctic lakes

C Olid, V Rodellas, G Rocher-Ros… - Nature …, 2022 - nature.com
Lateral CH4 inputs to Arctic lakes through groundwater discharge could be substantial and
constitute an important pathway that links CH4 production in thawing permafrost to …

[HTML][HTML] Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape

W Lidberg, M Nilsson, A Ågren - Ambio, 2020 - Springer
Comparisons between field data and available maps show that 64% of wet areas in the
boreal landscape are missing on current maps. Primarily forested wetlands and wet soils …

[HTML][HTML] Virtual landscape-scale restoration of altered channels helps us understand the extent of impacts to guide future ecosystem management

SS Paul, EM Hasselquist, A Jarefjäll, AM Ågren - Ambio, 2023 - Springer
Human modification of hydrological connectivity of landscapes has had significant
consequences on ecosystem functioning. Artificial drainage practices have fundamentally …

Topographic hydro-conditioning to resolve surface depression storage and ponding in a fully distributed hydrologic model

AL Jiang, K Hsu, BF Sanders, S Sorooshian - Advances in water resources, 2023 - Elsevier
Land surface depressions play a central role in the transformation of rainfall to ponding,
infiltration and runoff, yet digital elevation models (DEMs) used by spatially distributed …

[HTML][HTML] Effect of DEM-smoothing and-aggregation on topographically-based flow directions and catchment boundaries

J Erdbrügger, I van Meerveld, K Bishop, J Seibert - Journal of Hydrology, 2021 - Elsevier
It is generally assumed that, in humid climates, the groundwater table is a subdued copy of
the surface topography. However, the general groundwater table is unlikely to be affected by …

[HTML][HTML] Unmanned Aircraft System (UAS) Structure-From-Motion (SfM) for Monitoring the Changed Flow Paths and Wetness in Minerotrophic Peatland Restoration

L Ikkala, AK Ronkanen, J Ilmonen, M Similä, S Rehell… - Remote Sensing, 2022 - mdpi.com
Peatland restoration aims to achieve pristine water pathway conditions to recover dispersed
wetness, water quality, biodiversity and carbon sequestration. Restoration monitoring needs …

[HTML][HTML] A comparison of machine learning approaches to improve free topography data for flood modelling

M Meadows, M Wilson - Remote Sensing, 2021 - mdpi.com
Given the high financial and institutional cost of collecting and processing accurate
topography data, many large-scale flood hazard assessments continue to rely instead on …

[HTML][HTML] Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices

J Larson, W Lidberg, AM Ågren… - Hydrology and Earth …, 2022 - hess.copernicus.org
Soil moisture has important implications for drought and flooding forecasting, forest fire
prediction and water supply management. However, mapping soil moisture has remained a …