6533b856fe1ef96bd12b293d
RESEARCH PRODUCT
Clasificación de usos del suelo a partir de imágenes Sentinel-2
G. MorassiJesús DelegidoG. Camps-vallsAlejandro PezzolaJ. BorràsM. Pereirasubject
Earth observation010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentDecision treeClasificación01 natural sciencesÍndice Kappa0504 sociologyEarth and Planetary Sciences (miscellaneous)TeledetecciónImage resolution0105 earth and related environmental sciencesRemote sensingUsos del sueloLandLand useKappa index05 social sciences050401 social sciences methodsRemote sensingClassificationLand use mapGeographyClassification methodsSentinel-2Relevant informationCartographyClassifier (UML)description
[EN] Sentinel-2 (S2), a new ESA satellite for Earth observation, accounts with 13 bands which provide high-quality radiometric images with an excellent spatial resolution (10 and 20 m) ideal for classification purposes. In this paper, two objectives have been addressed: to determine the best classification method for S2, and to quantify its improve-ment with respect to the SPOT operational mission. To do so, four classifiers (LDA, RF, Decision Trees, K-NN) have been selected and applied to two different agricultural areas located in Valencia (Spain) and Buenos Aires (Argentina). All classifiers were tested using, on the one hand, all the S2 bands and, on the other hand, only selecting those bands from S2 closer to the four bands from SPOT. In all the cases, between 10%-50% of samples were used to train the classifier while remaining the rest for validation. As a result, a land use map was generated from the best classifier, according to the Kappa index, providing scientifically relevant information such as the area of each land use class.
year | journal | country | edition | language |
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2017-06-20 |