Remote Sensing Lab
Landsat 8 Earth observation satellite launch, February 11, 2013 (here is a bigger rocket)
The Remote Sensing Laboratory is located in the Department of Earth and Environmental Studies (EAES). Research activities in the lab are sponsored by NASA. Current projects to use data from NASA's Earth Observing System satellite instruments to map forest and shrubs in desert grasslands in the southwestern US and in Arctic tundra.
A research focus is the use of data from the unique NASA/JPL Multiangle Imaging Spectro-Radiometer (MISR), including cutting-edge work on mapping canopy height as well as crown cover; and mapping woody plant cover and community type in desert grasslands and Arctic tundra.
The Lab's members have included faculty, post-doctoral research associates, and graduate and undergraduate students.
Relevant courses include
- EAES 311 Fundamentals of Remote Sensing of the Environment (undergraduate)
- EAES 511 Fundamentals of Remote Sensing of the Environment (graduate)
- EAES 611 Advanced Environmental Remote Sensing and Image Processing (graduate)
- EAES 210 Introduction to GIS and Remote Sensing (2 hours lecture, 2 hours lab )
- EAES 310 Geographic Information Systems (GIS) (3 hours lab)
- EAES 410 Advanced Topics in GIScience (3 hours lecture)
- EAES 610 Spatial Analysis
- EAES 710 Advanced Geographic Information Systems
- Graduate Certificate Program in Geographic Information Science
- Independent Study at various levels.
Equipment is comprised of PC and Unix workstations linked via high speed networking to CSAM servers, as well as PCs, plotters, and a high resolution drum scanner. Software includes ERDAS Imagine, Arc/INFO, IDL, ArcGIS, and proprietary codes.
Purple line: MISR/SGM forest canopy height (m)
Blue line: US Forest Service Canopy Height (m)
random samples, screened for topographic shading
Mouseover the graph to stop scrolling.
It's important to note that the Forest Service and MISR/GO maps were made using completely different methods and that the MISR/GO estimates of fractional woody plant cover and canopy height are not calibrated or scaled: they rely only on the geometric-optical model adjusted against MISR data.
- Mapping Carbon Pools in Desert Grasslands using EOS Multi-Angle Data
- Physical Structure of Desert Grasslands using Multiple View Angle Data from CHRIS
- Dramatic Changes in Urban Area in Inner Mongolia:
- Multi-angle remote sensing from the air and associated field data
- BRDF Applications in Semiarid Grassland Monitoring with the AVHRRs