Using Archival Repeat-Pass L-band InSAR data for Region-wide Mapping of Forest Stand Height

Yang Lei, University of Massachusetts, ylei@umass.edu
Paul Robert Siqueira, University of Massachusetts, siqueira@ecs.umass.edu (Presenter)

One of the advantages for using satellites to collect remote sensing data is the dependable coverage that is obtained by making observations over a repeated orbit. In anticipation of NASA's NISAR mission, and making use of the Japanese Aerospace Exploration Agency's ALOS-1 and ALOS-2 data, the University of Massachusetts has developed an algorithm for using repeat-pass L-band InSAR data for making estimates of Forest Stand Height over scales much larger than a single-scene of remote sensing data. The algorithm makes use of the interferometric signature of temporal decorrelation and the expected relationship that taller trees will exhibit more decorrelation, a map was created for using this interferometric measurable based on archival ALOS-1 L-band data (with a 46-day repeat pass). This algorithm, which has been demonstrated over the state of Maine and in Central Colombia, makes use of ground validation data (such as LVIS or GEDI), and has been developed to the point where it can be automated to work over large regions.

Presentation Type:  Poster

Session:  Theme 3: Future research direction and priorities: perspectives relevant to the next decadal survey   (Mon 4:30 PM)

Associated Project(s): 

• Siqueira, Paul: A Segmentation Approach for Combining RaDAR Backscater, InSAR and LiDAR Measurements to Determine Vegetation 3D Structure and Biomass from Space ...details

Poster Location ID: 224