Semi-automatic classification method for mapping the rice-planted areas of Japan using multi-temporal Landsat images
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2018.02.001
Abstract: Abstract The rice-planted areas of Japan have decreased continually with reduced rice consumption in the country. Remote sensing techniques are indispensable for providing up-to-date, public data for surveying the locations of paddy fields that have… read more here.
Keywords: planted areas; rice; rice planted; landsat ... See more keywords
Thick Clouds Removing From Multitemporal Landsat Images Using Spatiotemporal Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3043980
Abstract: Landsat images have played an important role in the field of Earth observation and geoinformatics. However, optical Landsat images are frequently contaminated by cloud cover, especially in tropical and subtropical regions, which limits the utilization… read more here.
Keywords: thick clouds; module; landsat images; landsat ... See more keywords