Sensing vegetation growth with reflected GPS signals

Details Sensing vegetation growth with reflected GPS signals Sensing vegetation growth with reflected GPS signals

Jun 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010georl..3712401s&link_type=abstract

Geophysical Research Letters, Volume 37, Issue 12, CiteID L12401

Mathematics

Logic

1

Biogeosciences: Remote Sensing, Biogeosciences: Instruments And Techniques, Geodesy And Gravity: Instruments And Techniques, Geodesy And Gravity: Satellite Geodesy: Results (6929, 7215, 7230, 7240), Biogeosciences: Data Sets

Scientific paper

Estimates of vegetation state are required for hydrometeorological modeling and validation of satellite estimates of land surface conditions. A linkage is described between vegetation growth and ground reflected multipath at GPS stations. Reflections are sensitive to conditions over a ˜1000m2 area, larger than typical in situ observations but smaller than space-based products. At two agricultural test sites, vegetation height and water content are inversely correlated with the magnitude of ground reflected multipath measured by geodetic-quality GPS stations. This relationship was tested further at Plate Boundary Observatory (PBO) network GPS sites, using Normalized Difference Vegetative Index (NDVI) to gauge vegetation status. NDVI is inversely correlated with the magnitude of multipath at nine sites located in grassland, shrubland and cropland. Multipath variations lag NDVI by approximately three weeks. Multipath statistics from existing sites are calculated daily and could be used to estimate biophysical properties in non-forested regions, which represent ˜80% of land area.

Affiliated with

Also associated with

No associations

Rating

Sensing vegetation growth with reflected GPS signals does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Sensing vegetation growth with reflected GPS signals, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sensing vegetation growth with reflected GPS signals will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1830426