High-resolution land cover classification: cost-effective approach for extraction of reliable training data from existing land cover datasets

Bratic, Gorica; Yordanov, Vasil; Brovelli, Maria Antonia

doi:10.1080/17538947.2023.2253784

International Journal of Digital Earth

2023

DOI: 10.1080/17538947.2023.2253784

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High-resolution land cover classification: cost-effective approach for extraction of reliable training data from existing land cover datasets

Gorica Bratic,

Vasil Yordanov,

Maria Antonia Brovelli

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2024

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Cited by 3 publications

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High-resolution land cover classification: cost-effective approach for extraction of reliable training data from existing land cover datasets

Cited by 3 publications

References 49 publications

Contextual based hybrid classification with FCM to handle mixed pixels and edge preservation

Contextual based hybrid classification with FCM to handle mixed pixels and edge preservation

Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar

Mapping the distribution and dynamics of coastal aquaculture ponds using Landsat time series data based on U ² -Net deep learning model

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High-resolution land cover classification: cost-effective approach for extraction of reliable training data from existing land cover datasets

Cited by 3 publications

References 49 publications

Contextual based hybrid classification with FCM to handle mixed pixels and edge preservation

Contextual based hybrid classification with FCM to handle mixed pixels and edge preservation

Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar

Mapping the distribution and dynamics of coastal aquaculture ponds using Landsat time series data based on U 2 -Net deep learning model

Contact Info

Product

Resources

About

Mapping the distribution and dynamics of coastal aquaculture ponds using Landsat time series data based on U ² -Net deep learning model