Remote sensing of stressed vegetation in the Carolina slate beltRemote sensing techniques have been used to detect stress in vegetation, but they have not been very successful for identifying which environmental factors cause the vegetation to appear stressed. Controlled comparisons of spectral characteristics of plant communities experiencing known combinations of stresses were designed to examine this problem. Landsat TM, NS-001 TMS, CIR, and AIS imagery was acquired for six stressed areas in the Carolina slate belt. Preliminary results indicated that the areas of stressed vegetation were identifiable, and that the stressed communities appeared to be undergoing early fall leaf senescence. The AIS data seemed to have the greatest potential for identifying differences among plant community spectra, but calibration will be necessary before these differences can be evaluated.
Document ID
19860029332
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Wickland, D. E. (California Institute of Technology Jet Propulsion Laboratory, Pasdena, United States)