90 citations as recorded by crossref.

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8. Are dissolved organic carbon concentrations in riparian groundwater linked to hydrological pathways in the boreal forest? S. Ploum et al. 10.5194/hess-24-1709-2020
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16. GIS-based MCDA for Gully Vulnerability Mapping Using AHP Techniques I. Bashir et al. 10.21523/gcj5.20040201
17. Relating Bryophyte Assemblages to a Remotely Sensed Depth-to-Water Index in Boreal Forests S. Bartels et al. 10.3389/fpls.2018.00858
18. Whether the Rock Fragment Content Should Be Considered When Investigating Nitrogen Cycle in Stony Soils? K. Liao et al. 10.1029/2018JG004780
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21. Trafficability Prediction Using Depth-to-Water Maps: the Status of Application in Northern and Central European Forestry S. Hoffmann et al. 10.1007/s40725-021-00153-8
22. Using Random Forest Classification and Nationally Available Geospatial Data to Screen for Wetlands over Large Geographic Regions B. Felton et al. 10.3390/w11061158
23. A Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the Rugged Terrain of Northern Pakistan N. Shahzad et al. 10.3390/app12052280
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26. A decision support model for individual tree stump harvesting options based on criteria for economic return and environmental protection B. Olsson et al. 10.1080/02827581.2016.1236983
27. Prediction of soil drainage classes in Denmark by means of decision tree classification A. Møller et al. 10.1016/j.geoderma.2017.10.015
28. Determining diagnostic indicators for fine-scale short vegetation aboveground biomass inversion using a HVRU-based analysis approach J. Wang et al. 10.1016/j.ecolind.2019.106033
29. Effects of LiDAR DEM Smoothing and Conditioning Techniques on a Topography‐Based Wetland Identification Model G. O'Neil et al. 10.1029/2019WR024784
30. Effects of stump harvest and site preparation on N2O and CH4 emissions from boreal forest soils after clear-cutting M. Strömgren et al. 10.1016/j.foreco.2016.03.019
31. GIS-fuzzy logic technique in modeling soil depth classes: Using parts of the Clay Belt and Hornepayne region in Ontario, Canada as a case study C. Akumu et al. 10.1016/j.geoderma.2016.07.028
32. Remote sensing proxies of productivity and moisture predict forest stand type and recovery rate following experimental harvest W. Nijland et al. 10.1016/j.foreco.2015.08.027
33. Wheel rut measurements by forest machine-mounted LiDAR sensors – accuracy and potential for operational applications? A. Salmivaara et al. 10.1080/14942119.2018.1419677
34. Scale‐dependent effects of environmental factors on soil organic carbon, soil nutrients and stoichiometry under two contrasting land‐use types Q. Zhu et al. 10.1111/sum.12695
35. Delineating wetland areas from the cut-and-fill method using a Digital Elevation Model (DEM) Z. Lidzhegu et al. 10.1080/03736245.2019.1638825
36. Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment E. Silveira et al. 10.1016/j.jag.2019.02.004
37. Depth‐to‐water mediates bryophyte response to harvesting in boreal forests S. Bartels et al. 10.1111/1365-2664.13359
38. Utilization of Image, LiDAR and Gamma-Ray Information to Improve Environmental Sustainability of Cut-to-Length Wood Harvesting Operations in Peatlands: A Management Systems Perspective T. Palander & K. Kärhä 10.3390/ijgi10050273
39. A Citizen-Contributed GIS Approach for Evaluating the Impacts of Land Use on Hurricane-Harvey-Induced Flooding in Houston Area D. Yang et al. 10.3390/land8020025
40. Growth and Yield Characterization of Soybean (Glycine max L.) and Adzuki Bean (Vigna angularis L.) Cultivated from Paddy Fields with Different Topographic Features H. Chun et al. 10.7745/KJSSF.2018.51.4.536
41. Landscape-scale factors driving plant species composition in mountain streamside and spring riparian forests R. Pielech et al. 10.1016/j.foreco.2015.03.038
42. Mapping Temporal Dynamics in a Forest Stream Network—Implications for Riparian Forest Management A. Ågren et al. 10.3390/f6092982
43. Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape A. Ågren et al. 10.1016/j.geoderma.2021.115280
44. Modelling aboveground biomass in forest remnants of the Brazilian Atlantic Forest using remote sensing, environmental and terrain-related data E. Silveira et al. 10.1080/10106049.2019.1594394
45. Evaluating the effect of DEM resolution on performance of cartographic depth-to-water maps, for planning logging operations S. Mohtashami et al. 10.1016/j.jag.2022.102728
46. Identifying and assessing the potential hydrological function of past artificial forest drainage E. Hasselquist et al. 10.1007/s13280-017-0984-9
47. Spatio-temporal prediction of soil moisture using soil maps, topographic indices and SMAP retrievals M. Schönauer et al. 10.1016/j.jag.2022.102730
48. Terrain wetness indices derived from LiDAR to inform soil moisture and corrosion potential for underground infrastructure D. Bretreger et al. 10.1016/j.scitotenv.2020.144138
49. The role of biogeochemical hotspots, landscape heterogeneity, and hydrological connectivity for minimizing forestry effects on water quality H. Laudon et al. 10.1007/s13280-015-0751-8
50. Evaluating the potential for site-specific modification of LiDAR DEM derivatives to improve environmental planning-scale wetland identification using Random Forest classification G. O'Neil et al. 10.1016/j.jhydrol.2018.02.009
51. Evaluating topography-based predictions of shallow lateral groundwater discharge zones for a boreal lake-stream system J. Leach et al. 10.1002/2016WR019804
52. Utilizing a topographic moisture index to characterize understory vegetation patterns in the boreal forest L. Echiverri & S. Macdonald 10.1016/j.foreco.2019.05.054
53. Application of the Conservation Planning Tool Zonation to Inform Retention Planning in the Boreal Forest of Western Canada F. Robinne et al. 10.3389/fevo.2020.584291
54. Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping J. Hird et al. 10.3390/rs9121315
55. Regional rainfall and local topography jointly drive tree community assembly in lowland tropical forests of New Caledonia G. Blanchard et al. 10.1111/jvs.12781
56. GIS-based multi criteria decision making method to identify potential runoff storage zones within watershed V. Rana & T. Suryanarayana 10.1080/19475683.2020.1733083
57. Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS) K. Weise et al. 10.1016/j.rse.2020.111892
58. Contrasting responses of above- and belowground diversity to multiple components of land-use intensity G. Le Provost et al. 10.1038/s41467-021-23931-1
59. Depth-to-water maps as predictors of rut severity in fully mechanized harvesting operations J. Heppelmann et al. 10.1080/14942119.2022.2044724
60. Groundwater-surface water interactions across scales in a boreal landscape investigated using a numerical modelling approach E. Jutebring Sterte et al. 10.1016/j.jhydrol.2018.03.011
61. Effect of bound water on the quality of dried Lentinus edodes during storage W. Yang et al. 10.1002/jsfa.10210
62. Landslides on dry badlands: UAV images to identify the drivers controlling their unexpected occurrence on vegetated hillslopes E. Rodriguez-Caballero et al. 10.1016/j.jaridenv.2020.104434
63. Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape W. Lidberg et al. 10.1007/s13280-019-01196-9
64. Moisture Stress Indicators in Giant Sequoia Groves in the Southern Sierra Nevada of California, USA R. Ray 10.2136/vzj2016.03.0018
65. Towards an Improved Conceptualization of Riparian Zones in Boreal Forest Headwaters J. Ledesma et al. 10.1007/s10021-017-0149-5
66. Multiple stressors in small streams in the forestry context of Fennoscandia: The effects in time and space L. Kuglerová et al. 10.1016/j.scitotenv.2020.143521
67. Age-independent site index mapping with repeated single-tree airborne laser scanning S. Solberg et al. 10.1080/02827581.2019.1616814
68. An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting B. Talbot et al. 10.1080/02827581.2017.1418421
69. Groundwater inflows control patterns and sources of greenhouse gas emissions from streams A. Lupon et al. 10.1002/lno.11134
70. Dwarf Shrubs Impact Tundra Soils: Drier, Colder, and Less Organic Carbon J. Kemppinen et al. 10.1007/s10021-020-00589-2
71. Spatially Explicit Model for Statistical Downscaling of Satellite Passive Microwave Soil Moisture Y. Xu et al. 10.1109/TGRS.2019.2944421
72. Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐ and three‐dimensional information from UAV ‐based aerial imagery I. Mienna et al. 10.1002/rse2.260
73. Management perspectives on Aqua incognita : Connectivity and cumulative effects of small natural and artificial streams in boreal forests L. Kuglerová et al. 10.1002/hyp.11281
74. Scale-dependent groundwater contributions influence patterns of winter baseflow stream chemistry in boreal catchments A. Peralta-Tapia et al. 10.1002/2014JG002878
75. Predicting forwarder rut formation on fine-grained mineral soils M. Sirén et al. 10.1080/02827581.2018.1562567
76. Spatial optimization of ground-based primary extraction routes using the BestWay decision support system P. Flisberg et al. 10.1139/cjfr-2020-0238
77. A Stepwise GIS Approach for the Delineation of River Valley Bottom within Drainage Basins Using a Cost Distance Accumulation Analysis G. Sechu et al. 10.3390/w13060827
78. Deep learning Using Physically-Informed Input Data for Wetland Identification G. O'Neil et al. 10.1016/j.envsoft.2020.104665
79. Groundwater, Soil, and Vegetation Interactions at Discrete Riparian Inflow Points (DRIPs) and Implications for Boreal Streams S. Ploum et al. 10.3389/frwa.2021.669007
80. Evaluating preprocessing methods of digital elevation models for hydrological modelling W. Lidberg et al. 10.1002/hyp.11385
81. Comparison of Selected Terramechanical Test Procedures and Cartographic Indices to Predict Rutting Caused by Machine Traffic during a Cut-to-Length Thinning Operation M. Schönauer et al. 10.3390/f12020113
82. Carbon isotope discrimination by Picea glauca and Populus tremuloides is related to the topographic depth to water index and rainfall G. Oltean et al. 10.1139/cjfr-2015-0491
83. Delineating northern peatlands using Sentinel-1 time series and terrain indices from local and regional digital elevation models M. Karlson et al. 10.1016/j.rse.2019.111252
84. Comparing buffer zone alternatives in forest planning using a decision support system J. Lundström et al. 10.1080/02827581.2018.1441900
85. Topography-based statistical modelling reveals high spatial variability and seasonal emission patches in forest floor methane flux E. Vainio et al. 10.5194/bg-18-2003-2021
86. Relationship between structural features and water chemistry in boreal headwater streams—evaluation based on results from two water management survey tools suggested for Swedish forestry R. Lestander et al. 10.1007/s10661-015-4385-x
87. High Resolution Site Index Prediction in Boreal Forests Using Topographic and Wet Areas Mapping Attributes I. Bjelanovic et al. 10.3390/f9030113
88. GIS-based prediction of stream chemistry using landscape composition, wet areas, and hydrological flow pathways T. Tiwari et al. 10.1002/2016JG003399
89. Hydrological and thermal controls of ice formation in 25 boreal stream reaches L. Lind et al. 10.1016/j.jhydrol.2016.06.053
90. Towards optimizing riparian buffer zones: Ecological and biogeochemical implications for forest management L. Kuglerová et al. 10.1016/j.foreco.2014.08.033