Deteksi Banjir Area Perkotaan Berbasis Citra Digital Convolutional Neural Network (Vgg19)
Habibullah Akbar,
Diah Aryani,
Muhamad Bahrul Ulum
Abstract:Geographically and demographically, Indonesia has natural conditions that have the potential for floods disaster. There are at least 16,771 islands and 65,017 rivers that fill the archipelago. Unfortunately, the ever-increasing urban population accompanied by a lack of awareness and preparation for protecting the environment has resulted in a higher risk of flooding in urban areas. This study utilizes digital imagery to detect flood conditions in urban areas. In terms of access, digital images are available in… Show more
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