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L. Monika Moskal - Publications

Affiliations: 
2006-2012 School of Environmental and Forest Sciences University of Washington, Seattle, Seattle, WA 
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38 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Barber N, Alvarado E, Kane VR, Mell WE, Moskal LM. Estimating Fuel Moisture in Grasslands Using UAV-Mounted Infrared and Visible Light Sensors. Sensors (Basel, Switzerland). 21. PMID 34640670 DOI: 10.3390/s21196350  0.338
2020 Barnhart B, Pettus P, Halama J, McKane R, Mayer P, Djang K, Brookes A, Moskal LM. Modeling the hydrologic effects of watershed-scale green roof implementation in the Pacific Northwest, United States. Journal of Environmental Management. 277: 111418. PMID 33080432 DOI: 10.1016/j.jenvman.2020.111418  0.321
2020 Xu Z, Zheng G, Moskal LM. Stratifying Forest Overstory for Improving Effective LAI Estimation Based on Aerial Imagery and Discrete Laser Scanning Data Remote Sensing. 12: 2126. DOI: 10.3390/Rs12132126  0.631
2020 Endo Y, Halabisky M, Moskal LM, Koshimura S. Wetland Surface Water Detection from Multipath SAR Images Using Gaussian Process-Based Temporal Interpolation Remote Sensing. 12: 1756. DOI: 10.3390/Rs12111756  0.396
2020 Wang X, Zheng G, Yun Z, Xu Z, Moskal LM, Tian Q. Characterizing the Spatial Variations of Forest Sunlit and Shaded Components Using Discrete Aerial Lidar Remote Sensing. 12: 1071. DOI: 10.3390/Rs12071071  0.699
2020 Wang X, Zheng G, Yun Z, Moskal LM. Characterizing Tree Spatial Distribution Patterns Using Discrete Aerial Lidar Data Remote Sensing. 12: 712. DOI: 10.3390/Rs12040712  0.649
2020 Kato A, Thau D, Hudak AT, Meigs GW, Moskal LM. Quantifying fire trends in boreal forests with Landsat time series and self-organized criticality Remote Sensing of Environment. 237: 111525. DOI: 10.1016/J.Rse.2019.111525  0.436
2019 Richardson JJ, Torgersen CE, Moskal LM. Lidar-based approaches for estimating solar insolation in heavily forested streams Hydrology and Earth System Sciences. 23: 2813-2822. DOI: 10.5194/Hess-23-2813-2019  0.666
2019 Kato A, Moskal LM, Batchelor JL, Thau D, Hudak AT. Relationships between Satellite-Based Spectral Burned Ratios and Terrestrial Laser Scanning Forests. 10: 444. DOI: 10.3390/F10050444  0.508
2019 Blomdahl EM, Thompson CM, Kane JR, Kane VR, Churchill D, Moskal LM, Lutz JA. Forest structure predictive of fisher (Pekania pennanti) dens exists in recently burned forest in Yosemite, California, USA Forest Ecology and Management. 444: 174-186. DOI: 10.1016/J.Foreco.2019.04.024  0.542
2018 Walker LE, Marzluff JM, Metz MC, Wirsing AJ, Moskal LM, Stahler DR, Smith DW. Population responses of common ravens to reintroduced gray wolves. Ecology and Evolution. 8: 11158-11168. PMID 30519433 DOI: 10.1002/Ece3.4583  0.382
2018 Vahidi H, Klinkenberg B, Johnson BA, Moskal LM, Yan W. Mapping the individual trees in urban orchards by incorporating Volunteered Geographic Information and very high resolution optical remotely sensed data: A template matching-based approach Remote Sensing. 10: 1134. DOI: 10.3390/Rs10071134  0.397
2017 Shryock B, Marzluff JM, Moskal LM. Urbanization Alters the Influence of Weather and an Index of Forest Productivity on Avian Community Richness and Guild Abundance in the Seattle Metropolitan Area Frontiers in Ecology and Evolution. 5. DOI: 10.3389/Fevo.2017.00040  0.501
2017 Ma L, Zheng G, Eitel JUH, Magney TS, Moskal LM. Retrieving forest canopy extinction coefficient from terrestrial and airborne lidar Agricultural and Forest Meteorology. 236: 1-21. DOI: 10.1016/J.Agrformet.2017.01.004  0.656
2016 Richardson JJ, Moskal LM. Urban food crop production capacity and competition with the urban forest Urban Forestry and Urban Greening. 15: 58-64. DOI: 10.1016/J.Ufug.2015.10.006  0.615
2016 Halabisky M, Moskal LM, Gillespie A, Hannam M. Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images (1984–2011) Remote Sensing of Environment. 177: 171-183. DOI: 10.1016/J.Rse.2016.02.040  0.721
2016 Ma L, Zheng G, Eitel JUH, Magney TS, Moskal LM. Determining woody-to-total area ratio using terrestrial laser scanning (TLS) Agricultural and Forest Meteorology. 228: 217-228. DOI: 10.1016/J.Agrformet.2016.06.021  0.689
2016 Johnston AN, Moskal LM. High-resolution habitat modeling with airborne LiDAR for red tree voles Journal of Wildlife Management. DOI: 10.1002/Jwmg.21173  0.539
2015 Zheng G, Ma L, He W, Eitel JUH, Moskal LM, Zhang Z. Assessing the Contribution of Woody Materials to Forest Angular Gap Fraction and Effective Leaf Area Index Using Terrestrial Laser Scanning Data Ieee Transactions On Geoscience and Remote Sensing. DOI: 10.1109/Tgrs.2015.2481492  0.696
2015 Ma L, Zheng G, Eitel JUH, Moskal LM, He W, Huang H. Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies Ieee Transactions On Geoscience and Remote Sensing. DOI: 10.1109/Tgrs.2015.2459716  0.705
2014 Richardson JJ, Moskal LM, Bakker JD. Terrestrial laser scanning for vegetation sampling. Sensors (Basel, Switzerland). 14: 20304-19. PMID 25353981 DOI: 10.3390/S141120304  0.683
2014 Styers DM, Moskal LM, Richardson JJ, Halabisky MA. Evaluation of the contribution of LiDAR data and postclassification procedures to object-based classification accuracy Journal of Applied Remote Sensing. 8: 83529-83529. DOI: 10.1117/1.Jrs.8.083529  0.653
2014 Kling CL, Panagopoulos Y, Rabotyagov SS, Valcu AM, Gassman PW, Campbell T, White MJ, Arnold JG, Srinivasan R, Jha MK, Richardson JJ, Moskal LM, Turner RE, Rabalais NN. LUMINATE: Linking agricultural land use, local water quality and Gulf of Mexico hypoxia European Review of Agricultural Economics. 41: 431-459. DOI: 10.1093/Erae/Jbu009  0.622
2014 Richardson JJ, Moskal LM. Assessing the utility of green LiDAR for characterizing bathymetry of heavily forested narrow streams Remote Sensing Letters. 5: 352-357. DOI: 10.1080/2150704X.2014.902545  0.728
2014 Hermosilla T, Ruiz LA, Kazakova AN, Coops NC, Moskal LM. Estimation of forest structure and canopy fuel parameters from small-footprint full-waveform LiDAR data International Journal of Wildland Fire. 23: 224-233. DOI: 10.1071/Wf13086  0.458
2014 Richardson JJ, Moskal LM. Uncertainty in urban forest canopy assessment: Lessons from Seattle, WA, USA Urban Forestry & Urban Greening. 13: 152-157. DOI: 10.1016/J.Ufug.2013.07.003  0.7
2013 Moskal LM, Jakubauskas ME. Monitoring Post Disturbance Forest Regeneration with Hierarchical Object-Based Image Analysis Forests. 4: 808-829. DOI: 10.3390/F4040808  0.456
2012 Vaughn NR, Moskal LM, Turnblom EC. Tree species detection accuracies using discrete point lidar and airborne waveform lidar Remote Sensing. 4: 377-403. DOI: 10.3390/Rs4020377  0.399
2012 Zheng G, Moskal LM. Spatial variability of terrestrial laser scanning based leaf area index International Journal of Applied Earth Observation and Geoinformation. 19: 226-237. DOI: 10.1016/J.Jag.2012.05.002  0.699
2011 Moskal LM, Zheng G. Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest Remote Sensing. 4: 1-20. DOI: 10.3390/Rs4010001  0.694
2011 Moskal LM, Styers DM, Halabisky M. Monitoring Urban Tree Cover Using Object-Based Image Analysis and Public Domain Remotely Sensed Data Remote Sensing. 3: 2243-2262. DOI: 10.3390/Rs3102243  0.515
2011 Vaughn NR, Moskal LM, Turnblom EC. Fourier transformation of waveform Lidar for species recognition Remote Sensing Letters. 2: 347-356. DOI: 10.1080/01431161.2010.523021  0.429
2011 Richardson JJ, Moskal LM. Strengths and limitations of assessing forest density and spatial configuration with aerial LiDAR Remote Sensing of Environment. 115: 2640-2651. DOI: 10.1016/J.Rse.2011.05.020  0.731
2010 Erdody TL, Moskal LM. Fusion of LiDAR and imagery for estimating forest canopy fuels Remote Sensing of Environment. 114: 725-737. DOI: 10.1016/J.Rse.2009.11.002  0.487
2009 Zheng G, Moskal LM. Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors. Sensors (Basel, Switzerland). 9: 2719-45. PMID 22574042 DOI: 10.3390/S90402719  0.625
2009 Kato A, Moskal LM, Schiess P, Swanson ME, Calhoun D, Stuetzle W. Capturing tree crown formation through implicit surface reconstruction using airborne lidar data Remote Sensing of Environment. 113: 1148-1162. DOI: 10.1016/J.Rse.2009.02.010  0.504
2009 Richardson JJ, Moskal LM, Kim S. Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR Agricultural and Forest Meteorology. 149: 1152-1160. DOI: 10.1016/J.Agrformet.2009.02.007  0.701
2004 Dunbar MD, Moskal LM, Jakubauskas ME. 3D Visualization for the Analysis of Forest Cover Change Geocarto International. 19: 103-112. DOI: 10.1080/10106040408542310  0.419
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