24 citations · 28 across the 4 of their papers we have counts for
4 papers
VARENN: Graphical representation of spatiotemporal data and application to climate studies
Takeshi Ise, Yurika Oba
Analyzing and utilizing spatiotemporal big data are essential for studies concerning climate change. However, such data are not fully integrated into climate models owing to limita…
Estimating mesoscale linkage between land-surface conditions and marine productions in Japan: a study using a sparse high-dimensional model
Takeshi Ise, Yurika Oba
There have been several scientific studies concerning the interconnectedness between land-surface conditions (e.g., vegetation, land use, and socioeconomic activities) and marine e…
Automatic classification of trees using a UAV onboard camera and deep learning
Masanori Onishi, Takeshi Ise
Automatic classification of trees using remotely sensed data has been a dream of many scientists and land use managers. Recently, Unmanned aerial vehicles (UAV) has been expected t…
Identifying 3 moss species by deep learning, using the "chopped picture" method
Takeshi Ise, Mari Minagawa, Masanori Onishi
In general, object identification tends not to work well on ambiguous, amorphous objects such as vegetation. In this study, we developed a simple but effective approach to identify…