The Harvard Geospatial Library is the University’s catalog and repository for geospatial data. It houses thousands of layers of digital geospatial data, in both vector and raster (scanned maps) forms. HGL uses traditional text searching combined with map/coordinate based searches. Data can be viewed on-line, or downloaded for use in a desktop GIS. See a powerpoint presentation explaining HGL and its capabilities.
The Harvard Map Collection
The Harvard Map Collection maintains a large collection of geospatial data sets for use in Geographic Information Systems (GIS), Cartography, and Remote Sensing. The Map Collection's geospatial holdings include U.S. Census Bureau, Boston metropolitan area, and many worldwide and foreign data sets. These data can also be found in HOLLIS.
Graduate School of Design LAN
The GSD Frances Loeb Library and the GIS Specialist have gathered together a large amount of GIS data stored on the GSD Local Area Network for student access.
Public GIS Data Resource Listing
CGA maintains a list of organizations that provide geographic data, including government, educational or non-profit organizations that provide free data.
Collect your own data with CGA's GPS loaner systems .
Remote Sensing.
LiDar.
Root Mean Square Error (RMSE) (also known as Root Mean Square Deviation) is one of the most widely used statistics in GIS. RMSE can be used for a variety of geostatistical applications.
RMSE measures how much error there is between two datasets. RMSE usually compares a predicted value and an observed value. For example, a LiDAR elevation point (predicted value) might be compared with a surveyed ground measurement (observed value).
Root mean square error takes the difference for each LiDAR value and surveyed value. You can swap the order of subtraction because the next step is to take the square of the difference. (The square of a negative or positive value will always be a positive value). Divide the sum of all values by the number of observations. This is how RMSE is calculated.
SPOT-6 was launched into orbit on September 9, 2012 by Astrium. It delivers multispectral (R, G, B and NIR) at 6 m resolution and panchromatic images at 1.5 resolution.
SPOT-6 was launched on September 9, 2012 to continue SPOT imagery services of high-resolution, wide-swath data. Astrium funded the satellites at the time of the launch.
SPOT-6 and SPOT-7 can provide a daily revisit everywhere on Earth with a 60 km 60 km. The service life for the constellation SPOT satellites is 10 years.
SPOT-6 delivers multispectral (R, G, B and NIR) images in 6 meter resolution. Panchromatic images has a spatial resolution of 1.5 meters.