Now showing items 1-4 of 4
Crowds for Clouds: Using an Internet Workforce to Interpret Satellite Images
A chronologically ordered sequence of satellite images can be used to learn how natural features of the landscape change over time. For example, we can learn how forests react to human interventions or climate change. ...
Producing a Canopy Height Map Over a Large Region Using Heterogeneous LIDAR Datasets
Accurate and unbiased wall-to-wall canopy height maps for large regions are useful to forest scientists and managers for several reasons such as carbon accounting and wildfire fuel-load monitoring. Airborne lidar is ...
On-the-Fly Massively Multitemporal Change Detection Using Statistical Quality Control Charts and Landsat Data
(Institute of Electrical and Electronics Engineers (IEEE), 2014-06)
One challenge to implementing spectral change detection algorithms using multitemporal Landsat data is that key dates and periods are often missing from the record due to weather disturbances and lapses in continuous ...