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Agricultural plastic waste spatial estimation by Landsat 8 satellite images

Authors :: Rosa Viviana Loisi
Fortunato De Santis
Gabriele Nolè
Giuliano Vox
Antonio Lanorte
Evelia Schettini
Ileana Blanco
Lanorte, A.
De Santis, F.
Nole, G.
Blanco, I.
Loisi, R. V.
Schettini, E.
Vox, G.
Source :: Computers and electronics in agriculture 141 (2017): 35–45. doi:10.1016/j.compag.2017.07.003, info:cnr-pdr/source/autori:Lanorte A.; De Santis F.; Nole G.; Blanco I.; Loisi R.V.; Schettini E.; Vox G./titolo:Agricultural plastic waste spatial estimation by Landsat 8 satellite images/doi:10.1016%2Fj.compag.2017.07.003/rivista:Computers and electronics in agriculture/anno:2017/pagina_da:35/pagina_a:45/intervallo_pagine:35–45/volume:141
Publication Year :: 2017
Publisher :: Elsevier BV, 2017.
Abstract: The use of plastic materials in agriculture involves several benefits but it results in huge quantities of agricultural plastic waste to be disposed of. Input and output data on the use of plastics in agriculture are often difficult to obtain and poor waste management schemes have been developed. The present research aims to estimate and map agricultural plastic waste by using satellite images. Waste was evaluated by means of the indexes relating waste production to crop type and plastic application as defined by the land use map realized by classifying the Landsat 8 image. The image classification was carried out using Support Vector Machines (SVMs), and the accuracy assessment showed that the overall accuracy was 94.54% and the kappa coefficient equal to 0.934. Data on the plastic waste obtained by the satellite land use map were compared with the data obtained by using the institutional land use map; a difference of 1.74% was identified on the overall quantity of waste.