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Agricultural plastic waste spatial estimation by Landsat 8 satellite images

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Land use map; Pixel-based approach; Plastic covering detection; Support Vector Machines classification; Waste mapping
Elenco autori:
DE SANTIS, Fortunato; Lanorte, Antonio; Nole', Gabriele
Autori di Ateneo:
DE SANTIS FORTUNATO
LANORTE ANTONIO
NOLE' GABRIELE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/334033
Pubblicato in:
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Journal
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URL

http://www.sciencedirect.com/science/article/pii/S0168169917302259
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