The essence of acquisition time of airborne hyperspectral and on-ground reference data for classification of highly invasive annual vine Echinocystis lobata (Michx.) Torr. & A. Gray

References

• Aldakheel, Y. Y., and F. M. Danson. 1997. “Spectral Reflectance of Dehydrating Leaves: Measurements and Modelling.” International Journal of Remote Sensing 18: 3683–23. doi:10.1080/014311697216883.
   Web of Science ®Google Scholar
• Andrew, M. E., and S. L. Ustin. 2008. “The Role of Environmental Context in Mapping Invasive Plants with Hyperspectral Image Data.” Remote Sensing of Environment 112 (12): 4301–4317. doi:10.1016/j.rse.2008.07.016.
   Web of Science ®Google Scholar
• Botta-Dukát, Z., and L. Balogh. 2008. The Most Important Invasive Plants in Hungary. Vácrátót: Institute of Ecology and Botany of the Hungarian Academy of Sciences.
   Google Scholar
• Bradley, B. A. 2014. “Remote Detection of Invasive Plants: A Review of Spectral, Textural and Phenological Approaches.” Biological Invasions 16 (7): 1411–1425. doi:10.1007/s10530-013-0578-9.
   Web of Science ®Google Scholar
• Breiman, L. 2001. “Random Forests.” Machine Learning 45 (1): 5–32. doi:10.1023/A:1010933404324.
   Web of Science ®Google Scholar
• Chance, C. M., N. C. Coops, A. A. Plowright, T. R. Tooke, A. Christen, and N. Aven. 2016. “Invasive Shrub Mapping in an Urban Environment from Hyperspectral and LiDar-Derived Attributes.” Frontiers in Plant Science 7: 1528. doi:10.3389/fpls.2016.01528.
   PubMed Web of Science ®Google Scholar
• Cheng, Y. B., E. Tom, and S. L. Ustin. 2007. “Mapping an Invasive Species, Kudzu (Pueraria Montana), Using Hyperspectral Imagery in Western Georgia.” Journal of Applied Remote Sensing 1 (1): 013514. doi:10.1117/1.2749266.
   Google Scholar
• Chen, L., H. Lin, and H. Sun. 2014. “Remote Sensing of a Mikania Micrantha Invasion in Alien Species with WordView-2 Images.” Journal of Zhejiang A&F University 31 (2): 185–189.
   Google Scholar
• Cooksey, D., and R. L. Sheley. 1997. “Noxious Weed Survey and Mapping System.” Rangelands 19: 20–23.
   Google Scholar
• Dai, J., D. A. Roberts, D. A. Stow, L. An, S. J. Hall, S. T. Yabiku, and P. C. Kyriakidis. 2020. “Mapping Understory Invasive Plant Species with Field and Remotely Sensed Data in Chitwan, Nepal.” Remote Sensing of Environment 250: 112037. doi:10.1016/j.rse.2020.112037.
   Web of Science ®Google Scholar
• Datt, B. 1999. “A New Reflectance Index for Remote Sensing of Chlorophyll Content in Higher Plants: Tests Using Eucalyptus Leaves.” Journal of Plant Physiology 154: 30–36. doi:10.1016/S0176-1617(99)80314-9.
   Web of Science ®Google Scholar
• de Castro, A. I., M. Jurado-Expósito, J. M. Peña-Barragán, and F. López-Granados. 2012. “Airborne Multi-Spectral Imagery for Mapping Cruciferous Weeds in Cereal and Legume Crops.” Precision Agriculture 13 (3): 302–321. doi:10.1007/s11119-011-9247-0.
   Web of Science ®Google Scholar
• Dudley, K. L., P. E. Dennison, K. L. Roth, D. A. Roberts, and A. R. Coates. 2015. “A Multi-Temporal Spectral Library Approach for Mapping Vegetation Species Across Spatial and Temporal Phenological Gradients.” Remote Sensing of Environment 167: 121–134. doi:10.1016/j.rse.2015.05.004.
   Web of Science ®Google Scholar
• European Commission. 2013. “Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions: Green Infrastructure (GI) – Enhancing Europe’s Natural Capital.” In COM (2013) 249 Final, 11. Brussels: European Commission.
   Google Scholar
• European Commission. 2014. Regulation (EU) No 1143/2014 of the European Parliament and of the Council of 22 October 2014 on the Prevention and Management of the Introduction and Spread of Invasive Alien Species. Brussles: European Commission.
   Google Scholar
• Evangelista, P. H., T. J. Stohlgren, J. T. Morisette, and S. Kumar. 2009. “Mapping Invasive Tamarisk (Tamarix): A Comparison of Single-Scene and Time-Series Analyses of Remotely Sensed Data.” Remote Sensing 1 (3): 519–533. doi:10.3390/rs1030519.
   Web of Science ®Google Scholar
• Forysiak, J. 2012. “Record of Changes in the Natural Environment of the Late Weichselian and Holocene Preserved in the Sediments of Peatlands of the Łódź Region.” Acta Geographica Lodziensia 99: 1–164.
   Google Scholar
• Gholizadeh, H., M. S. Friedman, N. A. McMillan, W. M. Hammond, K. Hassani, A. V. Sams, M. D. Charles, et al. 2022. “Mapping Invasive Alien Species in Grassland Ecosystems Using Airborne Imaging Spectroscopy and Remotely Observable Vegetation Functional Traits.” Remote Sensing of Environment 271: 112887. doi:10.1016/j.rse.2022.112887.
   Web of Science ®Google Scholar
• Gibson, K. D., R. Dirks, C. R. Medlin, and L. Johnston. 2004. “Detection of Weed Species in Soybean Using Multispectral Digital Images.” Weed Technology 18 (3): 742–749. doi:10.1614/WT-03-170R1.
   Web of Science ®Google Scholar
• Gitelson, A. A., and M. N. Merzylak. 1997. “Remote Estimation of Chlorophyll Content in Higher Plant Leaves.” International Journal of Remote Sensing 18: 2691–2697. doi:10.1080/014311697217558.
   Web of Science ®Google Scholar
• Grašič, M., M. Piberčnik, I. Zelnik, D. Abram, and A. Gaberščik. 2019. “Invasive Alien Vines Affect Leaf Traits of Riparian Woody Vegetation.” Water 11 (11): 2395. doi:10.3390/w11112395.
   Web of Science ®Google Scholar
• Gray, C. J., D. R. Shaw, P. D. Gerard, and L. M. Bruce. 2008. “Utility of Multispectral Imagery for Soybean and Weed Species Differentiation.” Weed Technology 22 (4): 713–718. doi:10.1614/WT-07-116.1.
   Web of Science ®Google Scholar
• Green, A. A., M. Berman, P. Switzer, and M. D. Craig. 1988. “A Transformation for Ordering Multispectral Data in Terms of Image Quality with Implications for Noise Removal.” IEEE Transactions on Geoscience and Remote Sensing 26 (1): 65–74. doi:10.1109/36.3001.
   Web of Science ®Google Scholar
• Grundy, A. 2004. “Invasive Plant Species of the World: A Reference Guide to Environmental Weeds. In Ewald Weber.” The Quarterly Review of Biology 79: 314. doi:10.1086/425794.
   Google Scholar
• Guanter, L., H. Kaufmann, K. Segl, S. Foerster, C. Rogass, S. Chabrillat, T. Kuester, et al. 2015. “The EnMap Spaceborne Imaging Spectroscopy Mission for Earth Observation.” Remote Sensing 7 (7): 8830–8857. doi:10.3390/rs70708830.
   Web of Science ®Google Scholar
• Hamouz, P., K. Novakova, J. Soukup, and J. Holec. 2008. “Detection of Cirsium Arvense L. in Winter Wheat Using a Multispectral Imaging System.” Journal of Plant Diseases and Protection 21: 167–170.
   Google Scholar
• Hesketh, M., and G. A. Sánchez-Azofeifa. 2012. “The Effect of Seasonal Spectral Variation on Species Classification in the Panamanian Tropical Forest.” Remote Sensing of Environment 118: 73–82. doi:10.1016/j.rse.2011.11.005.
   Web of Science ®Google Scholar
• Hestir, E. L., S. Khanna, M. E. Andrew, M. J. Santos, J. H. Viers, J. A. Greenberg, S. L. Rajapakse & Ustin, and S. L. Ustin. 2008. “Identification of Invasive Vegetation Using Hyperspectral Remote Sensing in the California Delta Ecosystem.” Remote Sensing of Environment 112 (11): 4034–4047. doi:10.1016/j.rse.2008.01.022.
   Web of Science ®Google Scholar
• Huang, C. Y., and G. P. Asner. 2009. “Applications of Remote Sensing to Alien Invasive Plant Studies.” Sensors 9 (6): 4869–4889. doi:10.3390/s90604869.
   PubMed Web of Science ®Google Scholar
• Hulme, P. E., P. Pyšek, W. Nentwig, and M. Vilà. 2009. “Will Threat of Biological Invasions Unite the European Union?” Science 324 (5923): 40–41. doi:10.1126/science.1171111.
   PubMed Web of Science ®Google Scholar
• Hulme, P. E., D. B. Roy, T. Cunha, and T. B. Larsson. 2009. Handbook of Alien Species in Europe. Dordrecht: Springer Netherlands. doi:10.1007/978-1-4020-8280-1.
   Google Scholar
• Hunt, E. R., Jr, C. S. Daughtry, M. S. Kim, and A. E. P. Williams. 2007. “Using Canopy Reflectance Models and Spectral Angles to Assess Potential of Remote Sensing to Detect Invasive Weeds.” Journal of Applied Remote Sensing 1 (1): 013506. doi:10.1117/1.2536275.
   Web of Science ®Google Scholar
• Hunt, E. R., J. E. McMurtrey, A. E. Parker Williams, and L. A. Corp. 2004. “Spectral Characteristics of Leafy Spurge (Euphorbia esula) Leaves and Flower Bracts.” Weed Science 52: 492–497. doi:10.1614/WS-03-132R.
   Web of Science ®Google Scholar
• Joshi, C., J. De Leeuw, and I. C. van Duren. 2004. “Remote Sensing and GIS Applications for Mapping and Spatial Modelling of Invasive Species.” XXth Congress of the International Society of Photogrammetry and Remote Sensing: Geo-Imagery Bridging Continents. Vol. 35, 669–677. Istanbul, Turkey: 20th ISPRS Congress on Technical Commission VII.
   Google Scholar
• Khare, S., H. Latifi, and S. K. Ghosh. 2018. “Multi-Scale Assessment of Invasive Plant Species Diversity Using Pléiades 1A, RapidEye and Landsat-8 Data.” Geocarto International 33 (7): 681–698. doi:10.1080/10106049.2017.1289562.
   Web of Science ®Google Scholar
• Khare, S., H. Latifi, and S. Rossi. 2019. “Forest Beta-Diversity Analysis by Remote Sensing: How Scale and Sensors Affect the Rao’s Q Index.” Ecological Indicators 106: 105520. doi:10.1016/j.ecolind.2019.105520.
   Web of Science ®Google Scholar
• Kołaczkowska, E. 2016. “Wild Cucumber Echinocystis Lobata (Michx.) Torr. & A. Gray.” In Methods of Control of Alien Plant Species Occuring in Kampinos Forest - Central Poland, edited by A. Otręba, D. Michalska-Hejduk, 37–40. Izabelin: Kampinoski Park Narodowy.
   Google Scholar
• Kopeć, D., N. Ratajczyk, A. Wolańska-Kamińska, M. Walisch, and A. Kruk. 2014. “Floodplain Forest Vegetation Response to Hydroengineering and Climatic Pressure–A Five Decade Comparative Analysis in the Bzura River Valley (Central Poland).” Forest Ecology and Management 314: 120–130. doi:10.1016/j.foreco.2013.11.033.
   Web of Science ®Google Scholar
• Kopeć, D., A. Zakrzewska, A. Halladin-Dąbrowska, J. Wylazłowska, A. Kania, and J. Niedzielko. 2019. “Using Airborne Hyperspectral Imaging Spectroscopy to Accurately Monitor Invasive and Expansive Herb Plants: Limitations and Requirements of the Method.” Sensors 19 (13): 2871. doi:10.3390/s19132871.
   PubMed Web of Science ®Google Scholar
• Kostrakiewicz-Gierałt, K., A. Pliszko, B. Barabasz-Krasny, A. Bomanowska, Z. Dajdok, Z. Gudžinskas, M. Kucharczyk, et al. 2022. “The Relationships of Habitat Conditions, Height Level, and Geographical Position with Fruit and Seed Traits in Populations of Invasive Vine Echinocystis Lobata (Cucurbitaceae) in Central and Eastern Europe.” Forests 13 (2): 256. doi:10.3390/f13020256.
   Web of Science ®Google Scholar
• Labonté, J., G. Drolet, J. D. Sylvain, N. Thiffault, F. Hébert, and F. Girard. 2020. “Phenology-Based Mapping of an Alien Invasive Species Using Time Series of Multispectral Satellite Data: A Case-Study with Glossy Buckthorn in Québec, Canada.” Remote Sensing 12 (6): 922. doi:10.3390/rs12060922.
   Web of Science ®Google Scholar
• Liang, W., M. Abidi, L. Carrasco, J. McNelis, L. Tran, Y. Li, and J. Grant. 2020. “Mapping Vegetation at Species Level with High-Resolution Multispectral and Lidar Data Over a Large Spatial Area: A Case Study with Kudzu.” Remote Sensing 12 (4): 609. doi:10.3390/rs12040609.
   Web of Science ®Google Scholar
• López-Granados, F., M. Jurado-Expósito, J. M. Peña-Barragán, and L. García-Torres. 2006. “Using Remote Sensing for Identification of Late-Season Grass Weed Patches in Wheat.” Weed Science 54 (2): 346–353. doi:10.1614/WS-05-54.2.346.
   Web of Science ®Google Scholar
• Marcinkowska-Ochtyra, A., K. Gryguc, A. Ochtyra, D. Kopeć, A. Jarocińska, and Ł. Sławik. 2019. “Multitemporal Hyperspectral Data Fusion with Topographic Indices—Improving Classification of Natura 2000 Grassland Habitats.” Remote Sensing 11 (19): 2264. doi:10.3390/rs11192264.
   Web of Science ®Google Scholar
• Marshall, T. R., and P. F. Lee. 1994. “Mapping Aquatic Macrophytes Through Digital Image Analysis of Aerial Photographs: An Assessment.” Journal of Aquatic Plant Management 32 (1): 61–66.
   Google Scholar
• Maxwell, A. E., T. A. Warner, and F. Fang. 2018. “Implementation of Machine-Learning Classification in Remote Sensing: An Applied Review.” International Journal of Remote Sensing 39 (9): 2784–2817. doi:10.1080/01431161.2018.1433343.
   Web of Science ®Google Scholar
• McCracken, D. I., L. J. Cole, W. Harrison, and D. Robertson. 2012. “Improving the Farmland Biodiversity Value of Riparian Buffer Strips: Conflicts and Compromises.” Journal of Environmental Quality 41 (2): 355–363. doi:10.2134/jeq2010.0532.
   PubMed Web of Science ®Google Scholar
• Meerdink, S. K., D. A. Roberts, K. L. Roth, J. Y. King, P. D. Gader, and A. Koltunov. 2019. “Classifying California Plant Species Temporally Using Airborne Hyperspectral Imagery.” Remote Sensing of Environment 232: 111308. doi:10.1016/j.rse.2019.111308.
   Web of Science ®Google Scholar
• Michez, A., H. Piégay, L. Jonathan, H. Claessens, and P. Lejeune. 2016. “Mapping of Riparian Invasive Species with Supervised Classification of Unmanned Aerial System (UAS) Imagery.” International Journal of Applied Earth Observation and Geoinformation 44: 88–94. doi:10.1016/j.jag.2015.06.014.
   Web of Science ®Google Scholar
• Müllerová, J., J. Brůna, T. Bartaloš, P. Dvořák, M. Vítková, and P. Pyšek. 2017. “Timing is Important: Unmanned Aircraft Vs. Satellite Imagery in Plant Invasion Monitoring.” Frontiers in Plant Science 8: 887. doi:10.3389/fpls.2017.00887.
   PubMed Web of Science ®Google Scholar
• Müllerová, J., J. Brůna, P. Dvořák, T. Bartalo, and M. Vítková. 2016. “Does the Data Resolution/Origin Matter? Satellite, Airborne and UAV Imagery to Tackle Plant Invasions.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 41: 903–908. doi:10.5194/isprs-archives-XLI-B7-903-2016.
   Google Scholar
• Niphadkar, M., and H. Nagendra. 2016. “Remote Sensing of Invasive Plants: Incorporating Functional Traits into the Picture.” International Journal of Remote Sensing 37 (13): 3074–3085. doi:10.1080/01431161.2016.1193795.
   Web of Science ®Google Scholar
• Noujdina, N. V., and S. L. Ustin. 2008. “Mapping Downy Brome (Bromus tectorum) Using Multidate AVIRIS Data.” Weed Science 56 (1): 173–179. doi:10.1614/WS-07-009.1.
   Web of Science ®Google Scholar
• Pejchar, L., and H. A. Mooney. 2009. “Invasive Species, Ecosystem Services and Human Well-Being.” Trends in Ecology & Evolution 24 (9, Trends Ecol. Evol. 24(9), 497-504): 497–504. doi:10.1016/j.tree.2009.03.016.
   PubMed Web of Science ®Google Scholar
• Peña-Barragán, J. M., F. López-Granados, M. Jurado-Expósito, and L. García-Torres. 2007. “Mapping Ridolfia Segetum Patches in Sunflower Crop Using Remote Sensing.” Weed Research 47 (2): 164–172. doi:10.1111/j.1365-3180.2007.00553.x.
   Web of Science ®Google Scholar
• Peters, F. 2016. “Analyzing the Phenologic Dynamics of Kudzu (Pueraria Montana) Infestations Using Remote Sensing and the Normalized Difference Vegetation Index.” doi:10.18297/etd/2437.
   Google Scholar
• Protopopova, V. V., and M. V. Shevera. 2014. “Ergasiophytes of the Ukrainian Flora.” Biodiversity Research and Conservation 35 (1): 31. doi:10.2478/biorc-2014-0018.
   Google Scholar
• Protopopova, V. V., M. V. Shevera, O. O. Orlov, and S. M. Panchenko. 2015. “The Transformer Species of the Ukrainian Polissya.” Biodiversity Research and Conservation 39 (1): 7. doi:10.1515/biorc-2015-0020.
   Google Scholar
• Pyšek, P., and D. M. Richardson. 2010. “Invasive Species, Environmental Change and Management, and Health.” Annual Review of Environment and Resources 35: 25–55. doi:10.1146/annurevenviron-033009-095548.
   Web of Science ®Google Scholar
• Rai, P. K., and J. S. Singh. 2020. “Invasive Alien Plant Species: Their Impact on Environment, Ecosystem Services and Human Health.” Ecological Indicators 111: 106020. doi:10.1016/j.ecolind.2019.106020.
   PubMed Web of Science ®Google Scholar
• Richardson, D. M., and P. Pyšek. 2012. “Naturalization of Introduced Plants: Ecological Drivers of Biogeographical Patterns.” The New Phytologist 196: 383–396. doi:10.1111/j.1469-8137.2012.04292.x.
   PubMed Web of Science ®Google Scholar
• Richter, R., and D. Schläpfer. 2016. ATCOR-4 User Guide. Cologne, Germany: German Aerospace Center.
   Google Scholar
• Rocchini, D., V. Andreo, M. Förster, C. X. Garzon-Lopez, A. P. Gutierrez, T. W. Gillespie, H. C. Hauffe, et al. 2015. “Potential of Remote Sensing to Predict Species Invasions: A Modelling Perspective.” Progress in Physical Geography 39 (3): 283–309. doi:10.1177/0309133315574659.
   Web of Science ®Google Scholar
• Roelfsema, C. M., M. Lyons, E. M. Kovacs, P. Maxwell, M. I. Saunders, J. Samper-Villarreal, and S. R. Phinn. 2014. “Multi-Temporal Mapping of Seagrass Cover, Species and Biomass: A Semi-Automated Object Based Image Analysis Approach.” Remote Sensing of Environment 150: 172–187. doi:10.1016/j.rse.2014.05.001.
   Web of Science ®Google Scholar
• Rudnicki, W. R., M. Kierczak, J. Koronacki, and J. Komorowski. 2006, November. “A Statistical Method for Determining Importance of Variables in an Information System.” In International Conference on Rough Sets and Current Trends in Computing (pp. 557–566). Springer, Berlin, Heidelberg. 10.1007/11908029_58
   Google Scholar
• Sabat-Tomala, A., E. Raczko, and B. Zagajewski. 2022. “Mapping Invasive Plant Species with Hyperspectral Data Based on Iterative Accuracy Assessment Techniques.” Remote Sensing 14 (1): 64. doi:10.3390/rs14010064.
   Web of Science ®Google Scholar
• Schläpfer, D., and R. Richter. 2002. “Geo-Atmospheric Processing of Airborne Imaging Spectrometry Data. Part 1: Parametric Orthorectification.” International Journal of Remote Sensing 23 (13): 2609–2630. doi:10.1080/01431160110115825.
   Web of Science ®Google Scholar
• Silvertown, J. 1985. “Survival, Fecundity and Growth of Wild Cucumber, Echinocystis Lobata.” The Journal of Ecology 73: 841–849. doi:10.2307/2260151.
   Web of Science ®Google Scholar
• Singh, K. K., Y. H. Chen, L. Smart, J. Gray, and R. K. Meentemeyer. 2018. “Intra-Annual Phenology for Detecting Understory Plant Invasion in Urban Forests.” ISPRS Journal of Photogrammetry and Remote Sensing 142: 151–161. doi:10.1016/j.isprsjprs.2018.05.023.
   Web of Science ®Google Scholar
• Singh, N., and N. F. Glenn. 2009. “Multitemporal Spectral Analysis for Cheatgrass (Bromus tectorum) Classification.” International Journal of Remote Sensing 30 (13): 3441–3462. doi:10.1080/01431160802562222.
   Web of Science ®Google Scholar
• Sławik, Ł., J. Niedzielko, A. Kania, H. Piórkowski, and D. Kopeć. 2019. “Multiple Flights or Single Flight Instrument Fusion of Hyperspectral and ALS Data? A Comparison of Their Performance for Vegetation Mapping.” Remote Sensing 11 (8): 970. doi:10.3390/rs11080970.
   Web of Science ®Google Scholar
• Somers, B., and G. P. Asner. 2012. “Hyperspectral Time Series Analysis of Native and Invasive Species in Hawaiian Rainforests.” Remote Sensing 4 (9): 2510–2529. doi:10.3390/rs4092510.
   Web of Science ®Google Scholar
• Somers, B., and G. P. Asner. 2013. “Multi-Temporal Hyperspectral Mixture Analysis and Feature Selection for Invasive Species Mapping in Rainforests.” Remote Sensing of Environment 136: 14–27. doi:10.1016/j.rse.2013.04.006.
   Web of Science ®Google Scholar
• Somodi, I., A. Čarni, D. Ribeiro, and T. Podobnikar. 2012. “Recognition of the Invasive Species Robinia Pseudacacia from Combined Remote Sensing and GIS Sources.” Biological Conservation 150 (1): 59–67. doi:10.1016/j.biocon.2012.02.014.
   Web of Science ®Google Scholar
• Stanković, V., N. Kuzmanović, E. Kabaš, S. Vukojičić, D. Lakušić, and S. Jovanović. 2022. “Established Stands of the Highly Invasive Echinocystis Lobata on the Ramsar Sites of the Southern Part of the Pannonian Plain.” Botanica Serbica 46 (2): 197–207. http://institutecsr.iksi.ac.rs/id/eprint/622
   Web of Science ®Google Scholar
• Stehman, S. V., and R. L. Czaplewski. 1998. “Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles.” Remote Sensing of Environment 64 (3): 331–344. doi:10.1016/S0034-4257(98)00010-8.
   Web of Science ®Google Scholar
• Stehman, S. V., and R. L. Czaplewski. 2003. “Introduction to Special Issue on Map Accuracy.” Environmental and Ecological Statistics 10: 301–308.
   Web of Science ®Google Scholar
• Stutter, M. I., W. J. Chardon, and B. Kronvang. 2012. “Riparian Buffer Strips as a Multifunctional Management Tool in Agricultural Landscapes: Introduction.” Journal of Environmental Quality 41 (2): 297–303. doi:10.2134/jeq2011.0439.
   PubMed Web of Science ®Google Scholar
• Tesfamichael, S. G., S. W. Newete, E. Adam, and B. Dubula. 2018. “Field Spectroradiometer and Simulated Multispectral Bands for Discriminating Invasive Species from Morphologically Similar Cohabitant Plants.” GIScience & Remote Sensing 55 (3): 417–436. doi:10.1080/15481603.2017.1396658.
   Web of Science ®Google Scholar
• Tokarska-Guzik, B. 2022. “Echinocystis Lobata (Wild Cucumber).” CABI Compendium CABI International. doi:10.1079/cabicompendium.113998.
   Google Scholar
• Underwood, E., S. Ustin, and D. DiPietro. 2003. “Mapping Nonnative Plants Using Hyperspectral Imagery.” Remote Sensing of Environment 86 (2): 150–161. doi:10.1016/S0034-4257(03)00096-8.
   Web of Science ®Google Scholar
• Ustrnul, Z., A. Wypych, M. Marosz, D. Biernacik, D. Czekierda, A. Chodubska, K. Wasilewska, K. Kusek, and D. Kopaczka. 2021. Climate of Poland 2021. Warsaw: IMGW-PIB.
   Google Scholar
• Vilà, M., C. Basnou, S. Gollasch, M. Josefsson, J. Pergl, and R. Scalera. 2009. “One Hundred of the Most Invasive Alien Species in Europe.” In Handbook of Alien Species in Europe, 265–268. Dordrecht: Springer. doi:10.1007/978-1-4020-8280-1_12.
   Google Scholar
• Vuolo, F., M. Neuwirth, M. Immitzer, C. Atzberger, and W. T. Ng. 2018. “How Much Does Multi-Temporal Sentinel-2 Data Improve Crop Type Classification?” International Journal of Applied Earth Observation and Geoinformation 72: 122–130. doi:10.1016/j.jag.2018.06.007.
   Web of Science ®Google Scholar
• Walsh, S. J. 2018. “Multi-Scale Remote Sensing of Introduced and Invasive Species: An Overview of Approaches and Perspectives.” Understanding Invasive Species in the Galapagos Islands 143–154. doi:10.1007/978-3-319-67177-2_8.
   Google Scholar
• Weber, E. 2017. Invasive Plant Species of the World: A Reference Guide to Environmental Weeds. 3rd ed. Wallingford and Boston: CABI Publishing.
   Google Scholar
• Weisberg, P. J., T. E. Dilts, J. A. Greenberg, K. N. Johnson, H. Pai, C. Sladek, C. S. W. Kratt, and A. Ready. 2021. “Phenology-Based Classification of Invasive Annual Grasses to the Species Level.” Remote Sensing of Environment 263: 112568. doi:10.1016/j.rse.2021.112568.
   Web of Science ®Google Scholar
• Wulder, M. A., S. E. Franklin, J. C. White, J. Linke, and S. Magnussen. 2006. “An Accuracy Assessment Framework for Large‐area Land Cover Classification Products Derived from Medium‐resolution Satellite Data.” International Journal of Remote Sensing 27 (4): 663–683. doi:10.1080/01431160500185284.
   Web of Science ®Google Scholar
• Wu, Y., K. Rutchey, N. Wang, and J. Godin. 2006. “The Spatial Pattern and Dispersion of Lygodium Microphyllum in the Everglades Wetland Ecosystem.” Biological Invasions 8 (7): 1483–1493. doi:10.1007/s10530-005-5840-3.
   Web of Science ®Google Scholar
• Zając, A., B. Tokarska-Guzik, and M. Zając. 2011. “The Role of Rivers and Streams in the Migration of Alien Plants into the Polish Carpathians.” Biodiversity and Conservation 23: 43–56. doi:10.2478/v10119-011.
   Google Scholar
• Zhou, R., C. Yang, E. Li, X. Cai, J. Yang, and Y. Xia. 2021. “Object-Based Wetland Vegetation Classification Using Multi-Feature Selection of Unoccupied Aerial Vehicle RGB Imagery.” Remote Sensing 13 (23): 4910. doi:10.3390/rs13234910.
   Web of Science ®Google Scholar