Image texture as a remotely sensed measure of vegetation structure

Ecologists commonly collect data on vegetation structure, which is an important attribute for characterizing habitat. However, measuring vegetation structure across large areas is logistically difficult. Our goal was to evaluate the degree to which sample-point pixel values and image texture of remo...

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Bibliographic Details
Published in:	Remote sensing of environment Vol. 121; pp. 516 - 526
Main Authors:	Wood, Eric M., Pidgeon, Anna M., Radeloff, Volker C., Keuler, Nicholas S.
Format:	Journal Article
Language:	English
Published:	New York, NY Elsevier Inc 01.06.2012 Elsevier
Subjects:	Animal, plant and microbial ecology animals Applied geophysics Band 4 Biological and medical sciences Earth sciences Earth, ocean, space Exact sciences and technology Foliage-height diversity Fundamental and applied biological sciences. Psychology General aspects. Techniques grasslands Habitats Horizontal Horizontal vegetation structure Image texture Infrared air photo Internal geophysics Landsat military lands NDVI Pixels Remote sensing savannas summer Surface layer Teledetection and vegetation maps Texture variance Vegetation vegetation structure Wildlife habitat Wisconsin woodlands United States Wisconsin USA, Wisconsin Infrared air photo Image texture Wildlife habitat Band 4 Landsat Horizontal vegetation structure Foliage-height diversity NDVI Second order habitat data textures springs air Image North America 2009 2008 diversity ecology grasslands variations Foliage Height mosaics Vegetation structure Military installation Forest zone Space remote sensing Satellite observation samples Landsat satellite Pixel
ISSN:	0034-4257, 1879-0704
Online Access:	Get full text
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