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Change detection using vegetation indices and multiplatform satellite imagery at multiple temporal and spatial scales

By:
, ,
Edited by:
Qihao Weng
DOI: 10.1002/9781118801628.ch05

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Abstract

This chapter describes emerging methods for using satellite imagery across temporal and spatial scales using a case study approach to illustrate some of the opportunities now available for combining observations across scales. It explores the use of multiplatform sensor systems to characterize ecological change, as exemplified by efforts to scale the effects of a biocontrol insect (the leaf beetle Diorhabda carinulata) on the phenology and water use of Tamarix shrubs (Tamarix ramosissima and related species and hybrids) targeted for removal on western U.S. rivers, from the level of individual leaves to the regional level of measurement. Finally, the chapter summarizes the lessons learned and emphasize the need for ground data to calibrate and validate remote sensing data and the types of errors inherent in scaling point data over wide areas, illustrated with research on evapotranspiration (ET) of Tamarix using a wide range of ground measurement and remote sensing methods.

Additional Publication Details

Publication type:
Book chapter
Publication Subtype:
Book Chapter
Title:
Change detection using vegetation indices and multiplatform satellite imagery at multiple temporal and spatial scales
DOI:
10.1002/9781118801628.ch05
Year Published:
2014
Language:
English
Publisher:
Wiley and Sons
Publisher location:
Hoboken, NJ
Contributing office(s):
Southwest Biological Science Center
Larger Work Type:
Book
Larger Work Subtype:
Other Government Series