This research was funded by UK Science and Technology Facilities Council (STFC) under Newton fund with Grant ST/V00137X/1.Peer reviewedPublisher PD
Classification of multispectral optical satellite data using machine learning techniques to derive l...
Classification of multispectral optical satellite data using machine learning techniques to derive l...
Snow is important for local to global climate and surface hydrology, but spatial and temporal hetero...
Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in...
Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in...
Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in...
Snow coverage is often predicted through analysis of satellite images. Two of the most common satell...
In recent years, the data science and remote sensing communities have started to align due to user-f...
International audienceThe snow cover area, defined as the spatial extent of the snow cover on the la...
Snow preserves fresh water and impacts regional climate and the environment. Enabled by modern satel...
International audienceThe VENµS mission launched in 2017 provides multispectral optical images of th...
Motivated by the increasing availability of open and free Earth observation data through the Coperni...
Under a warming climate, an improved understanding of the water stored in snowpacks is becoming incr...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
As global temperatures continue to rise, snowfall patterns are expected to respond in a complex, non...
Classification of multispectral optical satellite data using machine learning techniques to derive l...
Classification of multispectral optical satellite data using machine learning techniques to derive l...
Snow is important for local to global climate and surface hydrology, but spatial and temporal hetero...
Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in...
Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in...
Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in...
Snow coverage is often predicted through analysis of satellite images. Two of the most common satell...
In recent years, the data science and remote sensing communities have started to align due to user-f...
International audienceThe snow cover area, defined as the spatial extent of the snow cover on the la...
Snow preserves fresh water and impacts regional climate and the environment. Enabled by modern satel...
International audienceThe VENµS mission launched in 2017 provides multispectral optical images of th...
Motivated by the increasing availability of open and free Earth observation data through the Coperni...
Under a warming climate, an improved understanding of the water stored in snowpacks is becoming incr...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
As global temperatures continue to rise, snowfall patterns are expected to respond in a complex, non...
Classification of multispectral optical satellite data using machine learning techniques to derive l...
Classification of multispectral optical satellite data using machine learning techniques to derive l...
Snow is important for local to global climate and surface hydrology, but spatial and temporal hetero...
DOI
Add to ORKG