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Open AccessArticle

The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation

1
Sustainable Forest Management Research Institute, Universidad de Valladolid & INIA, 42004 Soria, Spain
2
Computer School, Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Spain
3
Water Research Center for Agriculture and Mining, (CRHIAM), University of Concepción, 4070386 Concepción, Chile
4
Faculty of Agricultural Engineering, University of Concepción, Campus Chillán, 3812120 Chillán, Chile
5
Instituto de Oceanografía y Cambio Global, IOCAG, Universidad de las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(12), 1991; https://doi.org/10.3390/rs10121991
Received: 17 October 2018 / Revised: 27 November 2018 / Accepted: 6 December 2018 / Published: 8 December 2018
The outlining of agricultural land is an important task for obtaining primary information used to create agricultural policies, estimate subsidies and agricultural insurance, and update agricultural geographical databases, among others. Most of the automatic and semi-automatic methods used for outlining agricultural plots using remotely sensed imagery are based on image segmentation. However, these approaches are usually sensitive to intra-plot variability and depend on the selection of the correct parameters, resulting in a poor performance due to the variability in the shape, size, and texture of the agricultural landscapes. In this work, a new methodology based on consensus image segmentation for outlining agricultural plots is presented. The proposed methodology combines segmentation at different scales—carried out using a superpixel (SP) method—and different dates from the same growing season to obtain a single segmentation of the agricultural plots. A visual and numerical comparison of the results provided by the proposed methodology with field-based data (ground truth) shows that the use of segmentation consensus is promising for outlining agricultural plots in a semi-supervised manner. View Full-Text
Keywords: agriculture parcel segmentation; superpixels; consensus agriculture parcel segmentation; superpixels; consensus
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MDPI and ACS Style

Garcia-Pedrero, A.; Gonzalo-Martín, C.; Lillo-Saavedra, M.; Rodríguez-Esparragón, D. The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation. Remote Sens. 2018, 10, 1991. https://doi.org/10.3390/rs10121991

AMA Style

Garcia-Pedrero A, Gonzalo-Martín C, Lillo-Saavedra M, Rodríguez-Esparragón D. The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation. Remote Sensing. 2018; 10(12):1991. https://doi.org/10.3390/rs10121991

Chicago/Turabian Style

Garcia-Pedrero, Angel; Gonzalo-Martín, Consuelo; Lillo-Saavedra, Mario; Rodríguez-Esparragón, Dionisio. 2018. "The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation" Remote Sens. 10, no. 12: 1991. https://doi.org/10.3390/rs10121991

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