22.1.5.12 Invasive Plants, Weeds, Exotic Plants

Chapter Contents (Back)
Weeds. Invasive Plants. Exotic Plants. Close Range Analysis for weeds: See also Weed Detection.

Pearlstine, L.[Leonard], Portier, K.M.[Kenneth M.], Smith, S.E.[Scot E.],
Textural Discrimination of an Invasive Plant, Schinus terebinthifolius, from Low Altitude Aerial Digital Imagery,
PhEngRS(71), No. 3, March 2005, pp. 289-298.
WWW Link. 0509
Texture features derived from first and second order statistics and edge components in high-resolution digital color infrared images were tested for their ability to discriminate Schinus terebinthifolius in multiple linear logistic regressions. BibRef

Olsson, A., van Leeuwen, W., Marsh, S.,
Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery,
RS(3), No. 10, October 2011, pp. 2283-2304.
DOI Link 1203
BibRef

Jones, D., Pike, S., Thomas, M., Murphy, D.,
Object-Based Image Analysis for Detection of Japanese Knotweed s.l. taxa (Polygonaceae) in Wales (UK),
RS(3), No. 2, February 2011, pp. 319-342.
DOI Link 1203
BibRef

Mirik, M., Ansley, R.,
Utility of Satellite and Aerial Images for Quantification of Canopy Cover and Infilling Rates of the Invasive Woody Species Honey Mesquite (Prosopis Glandulosa) on Rangeland,
RS(4), No. 7, July 2012, pp. 1947-1962.
DOI Link 1208
BibRef

Taylor, S.L.[Sarah L.], Hill, R.A.[Ross A.], Edwards, C.[Colin],
Characterising invasive non-native Rhododendron ponticum spectra signatures with spectroradiometry in the laboratory and field: Potential for remote mapping,
PandRS(81), No. 1, July 2013, pp. 70-81.
Elsevier DOI 1306
Hyperspectral remote sensing; Invasive species; Logistic regression; Species discrimination; Leaf plasticity BibRef

Mirik, M., Ansley, R., Steddom, K., Jones, D., Rush, C., Michels, G., Elliott, N.,
Remote Distinction of A Noxious Weed (Musk Thistle: CarduusNutans) Using Airborne Hyperspectral Imagery and the Support Vector Machine Classifier,
RS(5), No. 2, February 2013, pp. 612-630.
DOI Link 1303
BibRef

Hung, C.[Calvin], Xu, Z.[Zhe], Sukkarieh, S.[Salah],
Feature Learning Based Approach for Weed Classification Using High Resolution Aerial Images from a Digital Camera Mounted on a UAV,
RS(6), No. 12, 2014, pp. 12037-12054.
DOI Link 1412
BibRef

Levick, S.R.[Shaun R.], Setterfield, S.A.[Samantha A.], Rossiter-Rachor, N.A.[Natalie A.], Hutley, L.B.[Lindsay B.], MacMaster, D.[Damien], Hacker, J.M.[Jorg M.],
Monitoring the Distribution and Dynamics of an Invasive Grass in Tropical Savanna Using Airborne LiDAR,
RS(7), No. 5, 2015, pp. 5117-5132.
DOI Link 1506
BibRef

Lehmann, J.R.K.[Jan Rudolf Karl], Große-Stoltenberg, A.[André], Römer, M.[Meike], Oldeland, J.[Jens],
Field Spectroscopy in the VNIR-SWIR Region to Discriminate between Mediterranean Native Plants and Exotic-Invasive Shrubs Based on Leaf Tannin Content,
RS(7), No. 2, 2015, pp. 1225-1241.
DOI Link 1503
BibRef

Wallace, C.S.A.[Cynthia S. A.], Walker, J.J.[Jessica J.], Skirvin, S.M.[Susan M.], Patrick-Birdwell, C.[Caroline], Weltzin, J.F.[Jake F.], Raichle, H.[Helen],
Mapping Presence and Predicting Phenological Status of Invasive Buffelgrass in Southern Arizona Using MODIS, Climate and Citizen Science Observation Data,
RS(8), No. 7, 2016, pp. 524.
DOI Link 1608
BibRef

Große-Stoltenberg, A.[André], Hellmann, C.[Christine], Werner, C.[Christiane], Oldeland, J.[Jens], Thiele, J.[Jan],
Evaluation of Continuous VNIR-SWIR Spectra versus Narrowband Hyperspectral Indices to Discriminate the Invasive Acacia longifolia within a Mediterranean Dune Ecosystem,
RS(8), No. 4, 2016, pp. 334.
DOI Link 1604
BibRef

Peerbhay, K.[Kabir], Mutanga, O.[Onisimo], Lottering, R.[Romano], Bangamwabo, V.[Victor], Ismail, R.[Riyad],
Detecting bugweed (Solanum mauritianum) abundance in plantation forestry using multisource remote sensing,
PandRS(121), No. 1, 2016, pp. 167-176.
Elsevier DOI 1609
Remote sensing BibRef

Liu, X.[Xiang], Liu, H.Y.[Hui-Yu], Gong, H.B.[Hai-Bo], Lin, Z.S.[Zhen-Shan], Lv, S.C.[Shi-Cheng],
Appling the One-Class Classification Method of Maxent to Detect an Invasive Plant Spartina alterniflora with Time-Series Analysis,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Dutra Silva, L.[Lara], Brito de Azevedo, E.[Eduardo], Bento Elias, R.[Rui], Silva, L.[Luís],
Species Distribution Modeling: Comparison of Fixed and Mixed Effects Models Using INLA,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801
Invasive species. BibRef

Alvarez-Taboada, F.[Flor], Paredes, C.[Claudio], Julián-Pelaz, J.[Julia],
Mapping of the Invasive Species Hakea sericea Using Unmanned Aerial Vehicle (UAV) and WorldView-2 Imagery and an Object-Oriented Approach,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Martin, F.M.[François-Marie], Müllerová, J.[Jana], Borgniet, L.[Laurent], Dommanget, F.[Fanny], Breton, V.[Vincent], Evette, A.[André],
Using Single- and Multi-Date UAV and Satellite Imagery to Accurately Monitor Invasive Knotweed Species,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Louargant, M.[Marine], Jones, G.[Gawain], Faroux, R.[Romain], Paoli, J.N.[Jean-Noël], Maillot, T.[Thibault], Gée, C.[Christelle], Villette, S.[Sylvain],
Unsupervised Classification Algorithm for Early Weed Detection in Row-Crops by Combining Spatial and Spectral Information,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Pflanz, M.[Michael], Nordmeyer, H.[Henning], Schirrmann, M.[Michael],
Weed Mapping with UAS Imagery and a Bag of Visual Words Based Image Classifier,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Bah, M.D.[M Dian], Hafiane, A.[Adel], Canals, R.[Raphael],
Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Tarantino, C.[Cristina], Casella, F.[Francesca], Adamo, M.[Maria], Lucas, R.[Richard], Beierkuhnlein, C.[Carl], Blonda, P.[Palma],
Ailanthus altissima mapping from multi-temporal very high resolution satellite images,
PandRS(147), 2019, pp. 90-103.
Elsevier DOI 1901
Invasive species, Alien species, mapping, multi-temporal WorldView-2 data, Remote sensing, Novel ecosystems BibRef

Rasti, P.[Pejman], Ahmad, A.[Ali], Samiei, S.[Salma], Belin, E.[Etienne], Rousseau, D.[David],
Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Malavasi, M.[Marco], Barták, V.[Vojtech], Jucker, T.[Tommaso], Acosta, A.T.R.[Alicia Teresa Rosario], Carranza, M.L.[Maria Laura], Bazzichetto, M.[Manuele],
Strength in Numbers: Combining Multi-Source Remotely Sensed Data to Model Plant Invasions in Coastal Dune Ecosystems,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef


Förster, M., Schmidt, T., Wolf, R., Kleinschmit, B., Fassnacht, F.E., Cabezas, J., Kattenborn, T.,
Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series,
MultiTemp17(1-4)
IEEE DOI 1712
geophysical image processing, hyperspectral imaging, image segmentation, land cover, least squares approximations, time-series BibRef

Marshall, V., Lewis, M., Ostendorf, B.,
Do Additional Bands (coastal, Nir-2, Red-edge And Yellow) In Worldview-2 Multispectral Imagery Improve Discrimination Of An Invasive Tussock, Buffel Grass (cenchrus Ciliaris)?,
ISPRS12(XXXIX-B8:277-281).
DOI Link 1209
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Soybean Crop Analysis, Production, Detection, Health, Change .


Last update:May 18, 2019 at 16:15:50