There is increasing interest in using machine learning to automatically analyse remote sensing data and increase our understanding of complex environmental systems. While there are benefits from this approach, there are also some barriers to its use. This POSTnote examines the value of these approaches, and the technical and ethical challenges for wider implementation.
On July 14 2020, GEO Analytics Canada was introduced at the 2020 Canadian Symposium on Remote Sensing. The video presentation that was given at the symposium is available here.
In collaboration with the Amazon Web Service (AWS) Public Dataset Program, NASA has made the following datasets available in Cloud Optimized GeoTIFF (COG) format for the COVID-19 Space Apps Challenge.
The Group on Earth Observations (GEO) Virtual Symposium 2020 will be held from June 15-19, 2020. The global GEO community will benefit from a series of interactive webinars that will provide in-depth discussions from experts on a range of relevant issues to the GEO Work Programme Flagships, Initiatives and Activities. Session topics will focus on the first year of 2020-2022 GEO Work Programme, focusing on strengthening the capability of GEO Work Programme activities to implement their plans effectively.
The Landsat series of Earth-observing satellites has been continuously acquiring land surface imagery since 1972. Over 8.5 million Landsat scenes are currently available for download. Soon it will all be accessible from a cloud environment, in a cloud optimized format that gives you more flexible, customized access. In the past, users could spend 80% of their time downloading and processing files. With Landsat in the cloud, you get direct access to big data without the big files and big headaches.
Audit finds error could mean less data flows to users unless agency pays up for downloads
A new Earth observation publication was released this month, developed for the Scientific Technical Advisory Panel (STAP) of the Global Environment Facility (GEF) by Hatfield’s Earth observation experts. Titled, “Earth Observation and the Global Environment Facility – Technical Guide”, this overview of Earth observation technology for the GEF, includes: Overview of optical, radar, lidar, and […]
The Open Geospatial Consortium (OGC) has published the outcomes of 2019’s biggest research and development initiative, Testbed-15. The key outcomes, including detailed Engineering Reports, overview presentations, and videos, are freely available on the Testbed-15 webpage. Testbed-15 advanced research across the following technologies:
– Earth Observation (EO) data models, applications, catalogues, and process discovery.
– Data Security in a geospatial environment using encrypted containers.
– Federated Cloud Environments incorporating OGC Open Web Services.
– Secure Delta Updates to geospatial data in Denied, Disrupted, Intermittent, and Limited (DDIL) situations.
– An Open Portrayal Framework and APIs for sharing portrayals of geospatial content.
– Machine Learning models and outputs integrating with OGC Open Web Services.
The current analysis was undertaken to develop an operational methodology to assess the locust impact using remote sensing data.
It is not conclusive. It is meant to open a dialogue on how to develop an operational multi-scale approach showing possible lines of research to be further explored for early warning and rapid damage assessment of future outbreaks.
One of our goals at GEO Analytics Canada is to develop an approach to utilize Kubernetes to process and store large amounts of data in S3-like buckets in a scalable manner. We are interested in using Filesystem in Userspace (FUSE) modules to mount S3 buckets as a folder on the compute file system. This greatly […]