Spatial Downscaling of ESA CCI Soil Moisture Data Based on Deep Learning with an Attention Mechanism

Soil moisture (SM) is a critical variable affecting ecosystem carbon and water cycles and their feedback to climate change. In this study, we proposed a convolutional neural network (CNN) model embedded with a residual block and attention module, named SMNet, to spatially downscale the European Spac...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Danwen Zhang, Linjun Lu, Xuan Li, Jiahua Zhang, Sha Zhang, Shanshan Yang
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2024-04-01
Цуврал:	Remote Sensing
Нөхцлүүд:	deep learning convolutional neural network (CNN) convolutional block attention module (CBAM) attention mechanisms soil moisture ESA CCI SM
Онлайн хандалт:	https://www.mdpi.com/2072-4292/16/8/1394
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!