Mapping sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine

Air pollution from burning sugarcane is an important environmental issue in Thailand. Knowing the location and extent of sugarcane plantations would help in formulating effective strategies to reduce burning. High resolution satellite imagery combined with deep-learning technologies can be effective...

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Автори:	Ate Poortinga, Nyein Soe Thwal, Nishanta Khanal, Timothy Mayer, Biplov Bhandari, Kel Markert, Andrea P. Nicolau, John Dilger, Karis Tenneson, Nicholas Clinton, David Saah
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2021-10-01
Серія:	ISPRS Open Journal of Photogrammetry and Remote Sensing
Предмети:	Mekong region High resolution satellite imagery MobileNetV2 U-net convolutional network Deep-learning Artificial intelligence
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S266739322100003X
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