Please use this identifier to cite or link to this item:
Title: Assessing and monitoring semi-arid shrublands using object-based image analysis and multiple endmember spectral mixture analysis
Authors: Hamada, Yuki
Stow, Douglas A.
Roberts, Dar A.
Franklin, Janet
Kyriakidis, Phaedon
Keywords: Remote sensing;Habitat monitoring;Shrublands;Mixture models;Object-based image analysis
Category: Environmental Engineering
Field: Engineering and Technology
Issue Date: Apr-2013
Publisher: Springer International Publishing
Source: Environmental Monitoring and Assessment, 2013, Volume 185, Issue 4, pages 3173–3190
Abstract: Arid and semi-arid shrublands have significant biological and economical values and have been experiencing dramatic changes due to human activities. In California, California sage scrub (CSS) is one of the most endangered plant communities in the US and requires close monitoring in order to conserve this important biological resource. We investigate the utility of remote-sensing approaches—object-based image analysis applied to pansharpened QuickBird imagery (QBPS/OBIA) and multiple endmember spectral mixture analysis (MESMA) applied to SPOT imagery (SPOT/MESMA)—for estimating fractional cover of true shrub, subshrub, herb, and bare ground within CSS communities of southern California. We also explore the effectiveness of life-form cover maps for assessing CSS conditions. Overall and combined shrub cover (i.e., true shrub and subshrub) were estimated more accurately using QBPS/OBIA (mean absolute error or MAE, 8.9 %) than SPOT/MESMA (MAE, 11.4 %). Life-form cover from QBPS/OBIA at a 25 × 25 m grid cell size seems most desirable for assessing CSS because of its higher accuracy and spatial detail in cover estimates and amenability to extracting other vegetation information (e.g., size, shape, and density of shrub patches). Maps derived from SPOT/MESMA at a 50 × 50 m scale are effective for retrospective analysis of life-form cover change because their comparable accuracies to QBPS/OBIA and availability of SPOT archives data dating back to the mid-1980s. The framework in this study can be applied to other physiognomically comparable shrubland communities.
ISSN: 0167-6369
1573-2959 (Online)
DOI: 10.1007/s10661-012-2781-z
Rights: © Springer International Publishing
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Citations 20

checked on May 28, 2019

Citations 10

checked on Jun 9, 2019

Page view(s) 10

Last Week
Last month
checked on Jun 11, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.