Classification based on satellite images over the season, while important for cropland monitoring, remains challenging in subtropical agricultural areas due to ...
May 25, 2020 · This work presents supervised object-based classifications over the year at 2-month time-steps in a heterogeneous region of 12,000 km(2) in the ...
Classification based on satellite images over the season, while important for cropland monitoring, remains challenging in subtropical agricultural areas due to ...
It is shown in this study that the use of time series was useful in this context, mainly by including a small number of highly discriminant images, and the ...
Classification based on satellite images over the season, while important for cropland monitoring, remains challenging in subtropical agricultural areas due to ...
Classification based on satellite images over the season, while important for cropland monitoring, remains challenging in subtropical agricultural areas due to ...
Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region. Accueil ...
Protected: Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region.
The aim of this paper is to map agricultural crops by classifying satellite image time series. Domain experts in agriculture work with crop type labels that ...
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Oct 22, 2024 · This article investigates the potential of structural biophysical variables as common parameters to consistently combine multi-sensor time ...