TreeView: A small satellite supporting precision forestry for nature-based solutions in a changing climate

The expansion of tree cover is a critical component of the path to net zero and the development of sustainable cities, but reaching this target will require extensive management of this resource. Through leveraging next-generation optical sensor technology and innovations across the payload and spacecraft development, TreeView will provide multispectral data at a ground sampling resolution on the scale of individual trees, providing measurement and monitoring capabilities from space at an unprecedented level. TreeView has been funded through to a Preliminary Design Review (PDR) by the UK Space Agency’s National Space Innovation Programme. This exciting mission aims to deliver a new perspective on urban green infrastructure in the UK and internationally, and assess the health of larger forest stands. The mission has a challenging target of an end-to-end budget of £15M and to achieve this, cost, size, weight and power limits are imposed on the payload and spacecraft. Meanwhile, signal to noise performance, spatial and spectral resolution have been set to provide new and unique data not available from Sentinel-2 or commercial providers

A Video Annotation and Indexing System (sequence unknown), IPRO 327 - Deliverables: IPRO 327 Poster F09

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverables for IPRO 327: A video annotation and indexing system for the fall 2009 semeste

A Video Annotation and Indexing System (Semester Unknown) IPRO 327: A Video Annotation and Indexing System IPRO327 Project Plan F09

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverable

A Video Annotation and Indexing System (sequence unknown), IPRO 327 - Deliverables: IPRO 327 Brochure F09

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverables for IPRO 327: A video annotation and indexing system for the fall 2009 semeste

A Video Annotation and Indexing System (Semester Unknown) IPRO 327

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverable

A Video Annotation and Indexing System (Semester Unknown) IPRO 327: A Video Annotation and Indexing System IPRO327 Brochure F09

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverable

A Video Annotation and Indexing System (Semester Unknown) IPRO 327: A Video Annotation and Indexing System IPRO327 Final Presentation F09

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverable

A Video Annotation and Indexing System (sequence unknown), IPRO 327 - Deliverables: IPRO 327 Midterm Presentation F09

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverables for IPRO 327: A video annotation and indexing system for the fall 2009 semeste

A Video Annotation and Indexing System (Semester Unknown) IPRO 327: A Video Annotation and Indexing System IPRO327 Final Report F09

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverable

A Video Annotation and Indexing System (Semester Unknown) IPRO 327: A Video Annotation and Indexing System IPRO327 MidTerm Presentation F09

Much information available on the Web is in video format. The problem with this medium is users cannot comment on particular scenes within the videos and there is no method of searching for specific content within the videos. The team proposes to develop a system that will allow users to make fine-grained comments on scenes within the video and then to use these comments to aid in search within videos.Deliverable