2021
DOI: 10.1016/j.ecolind.2020.107204
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Geostatistical models with the use of hyperspectral data and seasonal variation – A new approach for evaluating the risk posed by invasive plants

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Cited by 12 publications
(6 citation statements)
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“…With a dramatic decline in agriculture, hogweeds stopped being mowed [9]. The Sosnowsky's hogweed invasion became problematic, especially in countries near the Baltic Sea: Latvia, Lithuania [10,11], Poland [12][13][14][15], the European part of Russia [16][17][18][19][20][21][22][23][24][25], as well as in Ukraine [26][27][28] and other parts of Eastern Europe, such as Turkey [29] and Bulgaria [30]. In central and Eastern Europe, two Caucasian hogweeds species, H. mantegazzianum and H. sosnowskyi, became problematic, e.g., in Poland [14], Ukraine [26,27], Russia [22].…”
Section: Dispersal Of the Caucasian Hogweedsmentioning
confidence: 99%
“…With a dramatic decline in agriculture, hogweeds stopped being mowed [9]. The Sosnowsky's hogweed invasion became problematic, especially in countries near the Baltic Sea: Latvia, Lithuania [10,11], Poland [12][13][14][15], the European part of Russia [16][17][18][19][20][21][22][23][24][25], as well as in Ukraine [26][27][28] and other parts of Eastern Europe, such as Turkey [29] and Bulgaria [30]. In central and Eastern Europe, two Caucasian hogweeds species, H. mantegazzianum and H. sosnowskyi, became problematic, e.g., in Poland [14], Ukraine [26,27], Russia [22].…”
Section: Dispersal Of the Caucasian Hogweedsmentioning
confidence: 99%
“…Jowisz-Dąbrówka Wielka [46] and Grodziec [47], published in 1929. Reconstruction of the relief was carried out using a geostatistical interpolatorordinary kriging [19,48,49]. However, because of a lack of information concerning the depth of the channel of the Brynica, the Wielonka and the Jaworznik, these water courses were omitted.…”
Section: Relief and Land Use Studiesmentioning
confidence: 99%
“…In the presented case studies, authors used remote sensing data and tools (such as imaging spectrometer data, and/or hyperspectral imagery combined with in situ data) to improve map accuracy of environmental pollutants affected by mining activities and their abandoned residue. In many applications, to improve map accuracy and to validate results, geostatistical approaches were used with integration of remote sensing [14][15][16]. The base of the geostatistical theory is the spatial correlation among georeferenced data, correlations exploitable for a correct and optimal numerical modeling of the regionalized variable (RV).…”
Section: Exploitation Of Remote Sensing Informationmentioning
confidence: 99%