Arid
DOI10.2111/REM-D-11-00006.1
A Technique for Estimating Rangeland Canopy-Gap Size Distributions From High-Resolution Digital Imagery
Karl, Jason W.; Duniway, Michael C.; Schrader, T. Scott
通讯作者Karl, Jason W.
来源期刊RANGELAND ECOLOGY & MANAGEMENT
ISSN1550-7424
EISSN1551-5028
出版年2012
卷号65期号:2页码:196-207
英文摘要

The amount and distribution of gaps in vegetation canopy is a useful indicator of multiple ecosystem processes and functions. In this paper, we describe a semiautomated approach for estimating canopy-gap size distributions in rangelands from high-resolution (HR) digital images using image interpretation by observers and statistical image classification techniques. We considered two different classification methods (maximum-likelihood classification and logistic regression) and both pixel-based and object-based approaches to estimate canopy-gap size distributions from 2- to 3-cm resolution UltraCamX color infrared aerial photographs for arid and semiarid shrub sites in Idaho, Nevada, and New Mexico. We compare our image-based estimates to field-based measurements for the study sites. Generally, percent of input points correctly classified and kappa coefficients of agreement for plot image classifications was very high. Plots with low kappa values yielded canopy gap estimates that were very different from field-based estimates. We found a strong relationship (R-2 > 0.9 for all four methods evaluated) between image- and field-based estimates of the total percent of the plot in canopy gaps greater than 50 cm for plots with a classification kappa of greater than 0.5. Performance of the remote sensing techniques varied for small canopy gaps (25 to 50 cm) but were very similar for moderate (50 to 200 cm) and large (>200 cm) canopy gaps. Our results demonstrate that canopy-gap size distributions can be reliably estimated from HR imagery in a variety of plant community types. Additionally, we suggest that classification goodness-of-fit measures are a potentially useful tool for identifying and screening out plots where precision of estimates from imagery may be low. We conclude that classification of HR imagery based on observer-interpreted training points and image classification is a viable technique for estimating canopy gap size distributions. Our results are consistent with other research that has looked at the ability to derive monitoring indicators from HR imagery.


英文关键词digital aerial photography image classification photo interpretation remote sensing
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000304295100011
WOS关键词SCALE ; COVER ; LANDSCAPES ; ATTRIBUTES ; INVENTORY ; LEAKINESS ; AGREEMENT ; EROSION ; RUNOFF ; INDEX
WOS类目Ecology ; Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/174746
作者单位USDA ARS Jornada Expt Range, Las Cruces, NM 88003 USA
推荐引用方式
GB/T 7714
Karl, Jason W.,Duniway, Michael C.,Schrader, T. Scott. A Technique for Estimating Rangeland Canopy-Gap Size Distributions From High-Resolution Digital Imagery[J],2012,65(2):196-207.
APA Karl, Jason W.,Duniway, Michael C.,&Schrader, T. Scott.(2012).A Technique for Estimating Rangeland Canopy-Gap Size Distributions From High-Resolution Digital Imagery.RANGELAND ECOLOGY & MANAGEMENT,65(2),196-207.
MLA Karl, Jason W.,et al."A Technique for Estimating Rangeland Canopy-Gap Size Distributions From High-Resolution Digital Imagery".RANGELAND ECOLOGY & MANAGEMENT 65.2(2012):196-207.
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