130 citations as recorded by crossref.

1. Airborne LiDAR-derived elevation data in terrain trafficability mapping M. Niemi et al.
2. A topographic moisture index explains understory vegetation response to retention harvesting L. Echiverri & S. Ellen Macdonald
3. Spatio-temporal controls of dissolved organic carbon stream water concentrations A. Musolff et al.
4. A national-scale high-resolution runoff risk and channel network mapping workflow for diffuse pollution management T. Service et al.
5. Evaluation of different approaches for identifying optimal sites to predict mean hillslope soil moisture content K. Liao et al.
6. Groundwater flow paths drive longitudinal patterns of stream dissolved organic carbon (DOC) concentrations in boreal landscapes A. Lupon et al.
7. Mapping Earth Hummocks in Daisetsuzan National Park in Japan Using UAV-SfM Framework Y. Meng et al.
8. Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta A. Onojeghuo et al.
9. Whether the Rock Fragment Content Should Be Considered When Investigating Nitrogen Cycle in Stony Soils? K. Liao et al.
10. Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology A. Salmivaara et al.
11. An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions J. Zhou et al.
12. Upscaling of soil methane fluxes from topographic attributes derived from a digital elevation model in a cold temperate mountain forest S. Paul et al.
13. A Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the Rugged Terrain of Northern Pakistan N. Shahzad et al.
14. Spatio-temporal prediction of soil moisture and soil strength by depth-to-water maps M. Schönauer et al.
15. Prediction of soil drainage classes in Denmark by means of decision tree classification A. Møller et al.
16. Effects of LiDAR DEM Smoothing and Conditioning Techniques on a Topography‐Based Wetland Identification Model G. O'Neil et al.
17. Assessing Land Degradation Through Remote Sensing and Geospatial Techniques for Sustainable Development Under the Mediterranean Conditions E. Ali et al.
18. Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices J. Larson et al.
19. 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.
20. A Citizen-Contributed GIS Approach for Evaluating the Impacts of Land Use on Hurricane-Harvey-Induced Flooding in Houston Area D. Yang et al.
21. Soils of Cuttings and Secondary Forests A. Dymov
22. Digital mapping of peat thickness and extent in Finland using remote sensing and machine learning J. Pohjankukka et al.
23. Identifying and assessing the potential hydrological function of past artificial forest drainage E. Hasselquist et al.
24. Spatio-temporal prediction of soil moisture using soil maps, topographic indices and SMAP retrievals M. Schönauer et al.
25. The role of biogeochemical hotspots, landscape heterogeneity, and hydrological connectivity for minimizing forestry effects on water quality H. Laudon et al.
26. 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.
27. GIS-based multi criteria decision making method to identify potential runoff storage zones within watershed V. Rana & T. Suryanarayana
28. High-resolution harvester data for estimating rolling resistance and forest trafficability A. Salmivaara et al.
29. Predicting Habitat Properties Using Remote Sensing Data: Soil pH and Moisture, and Ground Vegetation Cover H. Haugen et al.
30. Effect of bound water on the quality of dried Lentinus edodes during storage W. Yang et al.
31. Landslides on dry badlands: UAV images to identify the drivers controlling their unexpected occurrence on vegetated hillslopes E. Rodriguez-Caballero et al.
32. Soil Moisture Variations From Boreal Forests to the Tundra J. Kemppinen et al.
33. Predicting bearing capacity and trafficability classes of forest roads using road properties and surrounding terrain information V. Karjalainen et al.
34. Groundwater inflows control patterns and sources of greenhouse gas emissions from streams A. Lupon et al.
35. Dwarf Shrubs Impact Tundra Soils: Drier, Colder, and Less Organic Carbon J. Kemppinen et al.
36. Topographic indices and ERA5-Land data to describe soil moisture variability in a Central European beech forest M. Schönauer et al.
37. Spatially Explicit Model for Statistical Downscaling of Satellite Passive Microwave Soil Moisture Y. Xu et al.
38. Spatial optimization of ground-based primary extraction routes using the BestWay decision support system P. Flisberg et al.
39. Unmanned Aircraft System (UAS) Structure-From-Motion (SfM) for Monitoring the Changed Flow Paths and Wetness in Minerotrophic Peatland Restoration L. Ikkala et al.
40. Large-scale mapping of existing and lost wetlands: Earth Observation data and tools to support restoration in the Sebou and Medjerda river basins A. Guelmami
41. Delineating northern peatlands using Sentinel-1 time series and terrain indices from local and regional digital elevation models M. Karlson et al.
42. Comparing buffer zone alternatives in forest planning using a decision support system J. Lundström et al.
43. Topography-based statistical modelling reveals high spatial variability and seasonal emission patches in forest floor methane flux E. Vainio et al.
44. Modelling soil moisture in a high‐latitude landscape using LiDAR and soil data J. Kemppinen et al.
45. A holistic optimization framework for forest machine trail network design accounting for multiple objectives and machines A. Hosseini et al.
46. An inverse shortest path approach to find forwarder productivity functions N. Søvde et al.
47. The effects of an auxiliary axle on forwarder rut development – a Norwegian field study D. Fjeld & Ø. Østby-Berntsen
48. A tree-based intelligence ensemble approach for spatial prediction of potential groundwater M. Avand et al.
49. Are dissolved organic carbon concentrations in riparian groundwater linked to hydrological pathways in the boreal forest? S. Ploum et al.
50. Divergent drivers of temporal stability for gravel and sandy desert ecosystems around mobile deserts: Implications for ecosystem conservation and desertification management L. Wei et al.
51. Digital mapping for soil texture class prediction in northwestern Türkiye by different machine learning algorithms F. Kaya et al.
52. A web application for hydrogeomorphic flood hazard mapping R. Tavares da Costa et al.
53. Forest harvest contribution to Boreal freshwater methyl mercury load R. Kronberg et al.
54. Évaluation du risque d’inondation par intégration du SAGA Wetness Index (SAGAWI) et de l’Analyse Hiérarchique des Procédés (AHP) : cas du District Autonome d’Abidjan K. Traoré
55. Delineating retention tree groups based on open spatial data and ecosystem service indicators M. Kesälä et al.
56. Terrain is a stronger predictor of peat depth than airborne radiometrics in Norwegian landscapes J. Vollering et al.
57. Using a digital elevation model to place overland flow fields and uncleaned ditch sections for water protection in peatland forest management M. Niemi et al.
58. Remote sensing and forest inventories in Nordic countries – roadmap for the future A. Kangas et al.
59. TWI computation: a comparison of different open source GISs P. Mattivi et al.
60. GIS-based MCDA for Gully Vulnerability Mapping Using AHP Techniques I. Bashir et al.
61. Relating Bryophyte Assemblages to a Remotely Sensed Depth-to-Water Index in Boreal Forests S. Bartels et al.
62. Topographic conditions of soil drainage of Vladimir Opolie P. Shilov
63. Trafficability Prediction Using Depth-to-Water Maps: the Status of Application in Northern and Central European Forestry S. Hoffmann et al.
64. Using Random Forest Classification and Nationally Available Geospatial Data to Screen for Wetlands over Large Geographic Regions B. Felton et al.
65. Soils of Post-Pyrogenic Forests A. Dymov
66. Cost of riparian buffer zones: A comparison of hydrologically adapted site‐specific riparian buffers with traditional fixed widths T. Tiwari et al.
67. A decision support model for individual tree stump harvesting options based on criteria for economic return and environmental protection B. Olsson et al.
68. Analyzing and Projecting Soil Moisture and Cone Penetrability Variations in Forest Soils M. Jones & P. Arp
69. Determining diagnostic indicators for fine-scale short vegetation aboveground biomass inversion using a HVRU-based analysis approach J. Wang et al.
70. Effects of stump harvest and site preparation on N2O and CH4 emissions from boreal forest soils after clear-cutting M. Strömgren et al.
71. 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.
72. Mapping of peatlands in the forested landscape of Sweden using lidar-based terrain indices L. Rimondini et al.
73. Remote sensing proxies of productivity and moisture predict forest stand type and recovery rate following experimental harvest W. Nijland et al.
74. GIS-based planning of buffer zones for protection of boreal streams and their riparian forests H. Mykrä et al.
75. Understanding the hydrological valley landscape: A multi-scenario adaptive framework for delineating valley floors W. Sun et al.
76. Wheel rut measurements by forest machine-mounted LiDAR sensors – accuracy and potential for operational applications? A. Salmivaara et al.
77. Scale‐dependent effects of environmental factors on soil organic carbon, soil nutrients and stoichiometry under two contrasting land‐use types Q. Zhu et al.
78. Delineating wetland areas from the cut-and-fill method using a Digital Elevation Model (DEM) Z. Lidzhegu et al.
79. Depth‐to‐water mediates bryophyte response to harvesting in boreal forests S. Bartels et al.
80. 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
81. Correlation between morfometry features and soil taxonomy indexes on the example of chernozems on the left bank of Don river (Voronegh region) L. Mirny et al.
82. Drone-borne ground-penetrating radar reveals spatiotemporal moisture dynamics in peatland root zones M. Henrion et al.
83. 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.
84. Modelling forest road trafficability with satellite-based soil moisture variables D. Fjeld et al.
85. Explorative analysis of depth-to-water index in identifying rewettable agricultural peat soils H. Kekkonen et al.
86. Landscape-scale factors driving plant species composition in mountain streamside and spring riparian forests R. Pielech et al.
87. A comprehensive strategy for modeling watershed restoration priority areas under epistemic uncertainty: A case study in the Atlantic Forest, Brazil I. Possantti et al.
88. 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.
89. Modelling aboveground biomass in forest remnants of the Brazilian Atlantic Forest using remote sensing, environmental and terrain-related data E. Silveira et al.
90. Evaluating the effect of DEM resolution on performance of cartographic depth-to-water maps, for planning logging operations S. Mohtashami et al.
91. Applying continuous-cover forestry on drained boreal peatlands; water regulation, biodiversity, climate benefits and remaining uncertainties H. Laudon & E. Maher Hasselquist
92. Terrain wetness indices derived from LiDAR to inform soil moisture and corrosion potential for underground infrastructure D. Bretreger et al.
93. The Use of Multiscale Topographic Position Index for the Identification of Upstream Depressional Wetlands A. Broeckx et al.
94. Forurenset grunn på avveier og nasjonalt datasett over dreneringslinjer J. Rød & T. Opach
95. Evaluating topography‐based predictions of shallow lateral groundwater discharge zones for a boreal lake‐stream system J. Leach et al.
96. Utilizing a topographic moisture index to characterize understory vegetation patterns in the boreal forest L. Echiverri & S. Macdonald
97. Application of the Conservation Planning Tool Zonation to Inform Retention Planning in the Boreal Forest of Western Canada F. Robinne et al.
98. Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping J. Hird et al.
99. Regional rainfall and local topography jointly drive tree community assembly in lowland tropical forests of New Caledonia G. Blanchard et al.
100. Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS) K. Weise et al.
101. Occupancy and habitat associations of European hares and rabbits in mesic forests of the Northern Tablelands, New South Wales, Australia R. Stone et al.
102. Contrasting responses of above- and belowground diversity to multiple components of land-use intensity G. Le Provost et al.
103. Depth-to-water maps as predictors of rut severity in fully mechanized harvesting operations J. Heppelmann et al.
104. Groundwater-surface water interactions across scales in a boreal landscape investigated using a numerical modelling approach E. Jutebring Sterte et al.
105. 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.
106. Moisture Stress Indicators in Giant Sequoia Groves in the Southern Sierra Nevada of California, USA R. Ray
107. Exploring the reliability of CAN-bus data in assessing forwarder rolling resistance under real working conditions F. Guerra et al.
108. Towards an Improved Conceptualization of Riparian Zones in Boreal Forest Headwaters J. Ledesma et al.
109. Multiple stressors in small streams in the forestry context of Fennoscandia: The effects in time and space L. Kuglerová et al.
110. Age-independent site index mapping with repeated single-tree airborne laser scanning S. Solberg et al.
111. An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting B. Talbot et al.
112. AI-Driven Integration of Sentinel-1 SAR for High-Resolution Soil Water Content Estimation to Enhance Precision Irrigation in Smallholder Maize Systems, Vhembe District G. Nxumalo et al.
113. 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.
114. Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping S. Razavi-Termeh et al.
115. Management perspectives onAqua incognita: Connectivity and cumulative effects of small natural and artificial streams in boreal forests L. Kuglerová et al.
116. Scale-dependent groundwater contributions influence patterns of winter baseflow stream chemistry in boreal catchments A. Peralta-Tapia et al.
117. Predicting forwarder rut formation on fine-grained mineral soils M. Sirén et al.
118. A Stepwise GIS Approach for the Delineation of River Valley Bottom within Drainage Basins Using a Cost Distance Accumulation Analysis G. Sechu et al.
119. Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts M. Schönauer et al.
120. Deep learning Using Physically-Informed Input Data for Wetland Identification G. O'Neil et al.
121. Groundwater, Soil, and Vegetation Interactions at Discrete Riparian Inflow Points (DRIPs) and Implications for Boreal Streams S. Ploum et al.
122. Evaluating preprocessing methods of digital elevation models for hydrological modelling W. Lidberg et al.
123. 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.
124. Tackling water table depth modeling via machine learning: From proxy observations to verifiability J. Janssen et al.
125. Carbon isotope discrimination by Picea glauca and Populus tremuloides is related to the topographic depth to water index and rainfall G. Oltean et al.
126. Depth-to-Water Maps to Identify Soil Areas That Are Potentially Sensitive to Logging Disturbance: Initial Evaluations in the Mediterranean Forest Context F. Latterini et al.
127. Controls on spatial and temporal variability of soil moisture across a heterogeneous boreal forest landscape F. Zignol et al.
128. High-Resolution GeoAI framework for automated rutting depth prediction on logging trails using TransRAUnet and LiDAR O. Abdi & J. Uusitalo
129. Multi‐Source Mapping of Peatland Types Using Sentinel‐1, Sentinel‐2, and Terrain Derivatives—A Comparison Between Five High‐Latitude Landscapes M. Karlson & D. Bastviken
130. Mapping Wet Areas and Drainage Networks of Data-Scarce Catchments Using Topographic Attributes H. Chaves et al.