Authors: Daniel C. Heinz, Thomas Bahr and Greg Terrie (Harris Geospatial Solutions) Many methods... more »
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Presented at Wind Europe Summit 2018
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Remote sensing is an effective tool for monitoring crop health and development when extensive field studies are not feasible. Using remote sensing to monitor development stages throughout the growing season (also called phenology) can help provide better estimates of productivity, yield forecasts, and biomass.
Image registration is the process of aligning two or more images, by locating and matching feature points in the images. Those points are typically called tie points. The corresponding tie points are then used to compute the parameters of a geometric transformation between the two images. This white paper provides an introduction to the ENVI... Image registration is the process of aligning two or more images, by locating and matching feature points in the images. Those points are typically called tie points. The corresponding tie points are then used to compute the parameters of a geometric transformation between the two images. This white paper provides an introduction to the ENVI... Read More >
Although relatively new, Satellite Automatic Identification System (S-AIS) technology has fundamentally changed the landscape for monitoring the maritime domain. Improving upon existing AIS technology already deployed aboard all large vessels and many smaller vessels around the globe, S-AIS is truly revolutionary in providing a complete and... Read More >
Passive point clouds have become a pervasive data modality for remote sensing analyses. A passive point cloud is a three-dimensional dataset representing the horizontal and vertical position of everything on the surface of an area. These points are generated using photogrammetric algorithms that take advantage of the parallax between the images... Background Passive point clouds have become a pervasive data modality for remote sensing analyses. A passive point cloud is a three-dimensional dataset representing the horizontal and vertical position of everything on the surface of an area. These points are generated using photogrammetric algorithms that take advantage of the parallax... Read More >
Geospatial analytics allow people to ask questions of data that exist within a spatial context. Usually this means extracting information from remotely sensed data such as multispectral imagery or LiDAR that is focused on observing the Earth and the things happening on it, both in a static sense or over a period of time. Familiar examples of... What are Geospatial Analytics? Geospatial analytics allow people to ask questions of data that exist within a spatial context. Usually this means extracting information from remotely sensed data such as multispectral imagery or LiDAR that is focused on observing the Earth and the things happening on it, both in a static sense or over a period... Read More >