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Big Remote Sensing Data Processing and Publishing

Big Remote Sensing Images Publishing Service
 
To rapidly share and publish geospatial data on websites, we developd Superoverlay and Super KML Regions (SKR) for processing big remote sensing data (high resolution satellite imagery, aerial photos and raster data) and vector layers (more than 1000 polygons and its attributes as .shp format). Big data can be divided to tiles and stored on the server. Users can download KMZ files through cloud service and receive images or vector layers with its original resolution and attributes.
 
Publishing Services 
Raw Big Data
Techniques
General Publishing
Cloud Publishing
Descriptions
1. Orthorectificated Aerial Photos
Superoverlay
P
P
applicable to aerial photos with coordinate information (including UAV photos)
2. Orthorectificated Satellite Imagery
Superoverlay
P*
P
applicable to orthorectificated satellite imagery, *:we provide Formosat-2 imagery by publishing it on cloud server only
3. Aerial Photos
Orthorectification + Superoverlay
P
P
applicable to UAV photos with no coordinate information (including fixed-wing aircrafts and rotary-wing aircrafts)
4. Grid Data (ASCII, GRID, Raster)
grid data to images + Superoverlay
P
P
applicable to fixed grid data with grid reference information
5. Vector Layers (ASCII, Shapefile)
Shp to Kml
P
P
applicable to general vector layers (less than 10000 points、1000 polylines or 100 polygons),different layers can be published together or alone with its attributes
6. Big Vector Layers (ASCII, Shapefile)
SKR
P
P
applicable to big vector layers,different layers can be published together or alone with its attributes
7. Panoramic Photos
Pano to Kml
P
P
applicable to panoramic photos with coordinate information, published on Google Earth's Image Viewer
 

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