23.2.8.2.1 Water Based Invasive Plants, Aquatic Weeds

Chapter Contents (Back)
Weeds. Invasive Plants. Exotic Plants. Water. Various water plante. 2507
BibRef

Fletcher, R.S., Everitt, J.H., Elder, H.,
Evaluating Airborne Multispectral Digital Video to Differentiate Giant Salvinia from Other Features in Northeast Texas,
RS(2), No. 10, October 2010, pp. 2413-2423.
DOI Link 1203
Water plant. BibRef

Chabot, D.[Dominique], Dillon, C.[Christopher], Shemrock, A.[Adam], Weissflog, N.[Nicholas], Sager, E.P.S.[Eric P. S.],
An Object-Based Image Analysis Workflow for Monitoring Shallow-Water Aquatic Vegetation in Multispectral Drone Imagery,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Rotta, L.H.S.[Luiz Henrique S.], Mishra, D.R.[Deepak R.], Watanabe, F.S.Y.[Fernanda S.Y.], Rodrigues, T.W.P.[Thanan W.P], Alcântara, E.H.[Enner H.], Imai, N.N.[Nilton N.],
Analyzing the feasibility of a space-borne sensor (SPOT-6) to estimate the height of submerged aquatic vegetation (SAV) in inland waters,
PandRS(144), 2018, pp. 341-356.
Elsevier DOI 1809
Radiative transfer models, Reflectance, Attenuation, Water column correction, Bottom albedo, Hydroacoustic data, Reservoir management BibRef

Siddiqui, M.D.[Muhammad Danish], Zaidi, A.Z.[Arjumand Z.], Abdullah, M.[Muhammad],
Performance Evaluation of Newly Proposed Seaweed Enhancing Index (SEI),
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
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Ghoussein, Y.[Youssra], Nicolas, H.[Hervé], Haury, J.[Jacques], Fadel, A.[Ali], Pichelin, P.[Pascal], Hamdan, H.A.[Hussein Abou], Faour, G.[Ghaleb],
Multitemporal Remote Sensing Based on an FVC Reference Period Using Sentinel-2 for Monitoring Eichhornia crassipes on a Mediterranean River,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
Water hyacinth. BibRef

Worqlul, A.W.[Abeyou W.], Ayana, E.K.[Essayas K.], Dile, Y.T.[Yihun T.], Moges, M.A.[Mamaru A.], Dersseh, M.G.[Minychl G.], Tegegne, G.[Getachew], Kibret, S.[Solomon],
Spatiotemporal Dynamics and Environmental Controlling Factors of the Lake Tana Water Hyacinth in Ethiopia,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Singh, G.[Geethen], Reynolds, C.[Chevonne], Byrne, M.[Marcus], Rosman, B.[Benjamin],
A Remote Sensing Method to Monitor Water, Aquatic Vegetation, and Invasive Water Hyacinth at National Extents,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Bolch, E.A.[Erik A.], Hestir, E.L.[Erin L.], Khanna, S.[Shruti],
Performance and Feasibility of Drone-Mounted Imaging Spectroscopy for Invasive Aquatic Vegetation Detection,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Rowan, G.S.L.[Gillian S. L.], Kalacska, M.[Margaret],
A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Liu, Z.Y.C.[Zac Yung-Chun], Chamberlin, A.J.[Andrew J.], Tallam, K.[Krti], Jones, I.J.[Isabel J.], Lamore, L.L.[Lance L.], Bauer, J.[John], Bresciani, M.[Mariano], Wolfe, C.M.[Caitlin M.], Casagrandi, R.[Renato], Mari, L.[Lorenzo], Gatto, M.[Marino], Diongue, A.K.[Abdou Ka], Toure, L.[Lamine], Rohr, J.R.[Jason R.], Riveau, G.[Gilles], Jouanard, N.[Nicolas], Wood, C.L.[Chelsea L.], Sokolow, S.H.[Susanne H.], Mandle, L.[Lisa], Daily, G.[Gretchen], Lambin, E.F.[Eric F.], Leo, G.A.D.[Giulio A. De],
Deep Learning Segmentation of Satellite Imagery Identifies Aquatic Vegetation Associated with Snail Intermediate Hosts of Schistosomiasis in Senegal, Africa,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
Bilharzia Or Snail Fever. Water-borne parasite. BibRef

Liang, S.[Shuang], Gong, Z.N.[Zhao-Ning], Wang, Y.C.[Ying-Cong], Zhao, J.[Jiafu], Zhao, W.J.[Wen-Ji],
Accurate Monitoring of Submerged Aquatic Vegetation in a Macrophytic Lake Using Time-Series Sentinel-2 Images,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Sheffield, K.J.[Kathryn J.], Clements, D.[Daniel], Clune, D.J.[Darryl J.], Constantine, A.[Angela], Dugdale, T.M.[Tony M.],
Detection of Aquatic Alligator Weed (Alternanthera philoxeroides) from Aerial Imagery Using Random Forest Classification,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Ade, C.[Christiana], Khanna, S.[Shruti], Lay, M.[Mui], Ustin, S.L.[Susan L.], Hestir, E.L.[Erin L.],
Genus-Level Mapping of Invasive Floating Aquatic Vegetation Using Sentinel-2 Satellite Remote Sensing,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Chen, J.[Jianqu], Li, X.[Xunmeng], Wang, K.[Kai], Zhang, S.[Shouyu], Li, J.[Jun],
Estimation of Seaweed Biomass Based on Multispectral UAV in the Intertidal Zone of Gouqi Island,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
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Simpson, M.D.[Morgan David], Akbari, V.[Vahid], Marino, A.[Armando], Prabhu, G.N.[G. Nagendra], Bhowmik, D.[Deepayan], Rupavatharam, S.[Srikanth], Datta, A.[Aviraj], Kleczkowski, A.[Adam], Sujeetha, J.A.R.P.[J. Alice R. P.], Anantrao, G.G.[Girish Gunjotikar], Poduvattil, V.K.[Vidhu Kampurath], Kumar, S.[Saurav], Maharaj, S.[Savitri], Hunter, P.D.[Peter D.],
Detecting Water Hyacinth Infestation in Kuttanad, India, Using Dual-Pol Sentinel-1 SAR Imagery,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Mucheye, T.[Tadesse], Haro, S.[Sara], Papaspyrou, S.[Sokratis], Caballero, I.[Isabel],
Water Quality and Water Hyacinth Monitoring with the Sentinel-2A/B Satellites in Lake Tana (Ethiopia),
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Alagialoglou, L.[Leonidas], Manakos, I.[Ioannis], Papadopoulou, S.[Sofia], Chadoulis, R.T.[Rizos-Theodoros], Kita, A.[Afroditi],
Mapping Underwater Aquatic Vegetation Using Foundation Models With Air- and Space-Borne Images: The Case of Polyphytos Lake,
RS(15), No. 16, 2023, pp. 4001.
DOI Link 2309
BibRef

Mouta, N.[Nuno], Silva, R.[Renato], Pinto, E.M.[Eva M.], Vaz, A.S.[Ana Sofia], Alonso, J.M.[Joaquim M.], Gonçalves, J.F.[João F.], Honrado, J.[João], Vicente, J.R.[Joana R.],
Sentinel-2 Time Series and Classifier Fusion to Map an Aquatic Invasive Plant Species along a River: The Case of Water-Hyacinth,
RS(15), No. 13, 2023, pp. 3248.
DOI Link 2307
BibRef

Chaudhuri, G.[Gargi], Mishra, N.B.[Niti B.],
Detection of Aquatic Invasive Plants in Wetlands of the Upper Mississippi River from UAV Imagery Using Transfer Learning,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Chen, M.N.[Meng-Na], Zhang, R.[Rong], Jia, M.M.[Ming-Ming], Cheng, L.[Lina], Zhao, C.P.[Chuan-Peng], Li, H.Y.[Hui-Ying], Wang, Z.M.[Zong-Ming],
Accurate and Rapid Extraction of Aquatic Vegetation in the China Side of the Amur River Basin Based on Landsat Imagery,
RS(16), No. 4, 2024, pp. 654.
DOI Link 2402
BibRef

Ollachica, D.A.H.[Diego Alberto Herrera], Asante, B.K.A.[Bismark Kweku Asiedu], Imamura, H.[Hiroki],
Advancing Water Hyacinth Recognition: Integration of Deep Learning and Multispectral Imaging for Precise Identification,
RS(17), No. 4, 2025, pp. 689.
DOI Link 2502
BibRef

M, A.M.[Ayesha Malligai], Abd-Elrahman, A.[Amr], Leary, J.K.[James K.],
A New Sentinel-2 Spectral Index for Mapping Hydrilla verticillata in Shallow Freshwater Lakes in Florida, USA,
RS(17), No. 11, 2025, pp. 1894.
DOI Link 2506
Invasive. BibRef


Chowdhury, S.[Shaif], Hamerly, G.[Greg], McGarrity, M.[Monica],
Active Learning Strategy Using Contrastive Learning and K-means for Aquatic Invasive Species Recognition,
Maritime24(848-858)
IEEE DOI 2404
Training, Deep learning, Invasive species, Costs, Plankton, Machine vision, Supervised learning BibRef

Nyawacha, S.O., Meta, V., Osio, A.,
Spatial Temporal Mapping of Spread of Water Hyacinth In Winum Gulf, Lake Victoria,
ISPRS21(B3-2021: 341-346).
DOI Link 2201
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Soybean Crop Analysis, Beans, Production, Detection, Health, Change .


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