The influence of patch-delineation mismatches on multi-temporal landscape pattern analysis

Linke, J.; McDermid, Gregory J.; Pape, Alysha D.; McLane, Adam J.; Laskin, David; Hall-Beyer, Mryka; Franklin, Steven E.

doi:10.1007/s10980-008-9290-z

Cited by 47 publications

(32 citation statements)

References 47 publications

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“…Updating/backdating, an approach that has long been used in visual interpretation (Linke et al, 2009;McDermid et al, 2008;Zhou, Huang, & Cadenasso, 2011), has been increasingly applied in automatic change analysis and classifications (e.g., Xian & Homer, 2010, Jin et al, 2013). An updating/backdating approach can be considered as a synthesis of the post-classification comparison and pre-classification change detection (Xian & Homer, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Previous research has shown that an updating/backdating approach has several advantages in terms of both efficiency and accuracy (Linke et al, 2009;Xian, Homer, & Fry, 2009). For example, with this approach, classification is only conducted at locations with changes, which greatly reduce the time for classifications of the entire area of interest, compared with the post-classification comparison approach (Xian et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…An updating/backdating approach can be implemented on pixels, or image objects (Linke et al, 2009;Xian et al, 2009). Object-based image analysis is quickly gaining acceptance among remote sensors, and has demonstrated great potential for classification and change detection, compared to pixel-based approach (Blaschke, 2010;Myint, Gober, Brazel, Grossman-Clarke, & Weng, 2011;.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A new approach for land cover classification and change analysis: Integrating backdating and an object-based method

Zhou

Qian

et al. 2016

Remote Sensing of Environment

153

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A new approach for land cover classification and change analysis: Integrating backdating and an object-based method

Zhou

Qian

et al. 2016

Remote Sensing of Environment

153

View full text Add to dashboard Cite

“…Another recent study used classification techniques (Principal Components Analysis) on multiple dates of imagery to improve the classification of landscape change [76]. Future work needs to determine how applying post-classification rules of change may influence pattern measurements and introduce errors of a different type into classified maps [77,78].…”

Section: Limitations Of Approach and Future Directionsmentioning

confidence: 99%

Using Urban Landscape Trajectories to Develop a Multi-Temporal Land Cover Database to Support Ecological Modeling

2009

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Urbanization and the resulting changes in land cover have myriad impacts on ecological systems. Monitoring these changes across large spatial extents and long time spans requires synoptic remotely sensed data with an appropriate temporal sequence. We developed a multi-temporal land cover dataset for a six-county area surrounding the Seattle, Washington State, USA, metropolitan region. Land cover maps for 1986, 1991, 1995, 1999, and 2002 were developed from Landsat TM images through a combination of spectral unmixing, image segmentation, multi-season imagery, and supervised classification approaches to differentiate an initial nine land cover classes. We then used ancillary GIS layers and temporal information to define trajectories of land cover change through multiple updating and backdating rules and refined our land cover classification for each date into 14 classes. We compared the accuracy of the initial approach with the landscape trajectory modifications and determined that the use of landscape trajectory rules increased our ability to differentiate several classes including bare soil (separated into cleared for development, agriculture, and clearcut forest) and three intensities of urban. Using the temporal dataset, we found that between 1986 and 2002, urban land cover increased from 8 to 18% of our study area, while lowland deciduous and mixed forests decreased from 21 to 14%, and grass and agriculture decreased from 11 to 8%. systems that are present in this region were likely significantly altered by these changes in land cover. Our results suggest that multi-temporal (i.e., multiple years and multiple seasons within years) Landsat data are an economical means to quantify land cover and land cover change across large and highly heterogeneous urbanizing landscapes. Our data, and similar temporal land cover change products, have been used in ecological modeling of past, present, and likely future changes in ecological systems (e.g., avian biodiversity, water quality). Such data are important inputs for ecological modelers, policy makers, and urban planners to manage and plan for future landscape change.

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“…Numerous studies span the breadth of such inquiries, ranging from studies of land cover change (Linke et al 2009) to assessing habitat suitability (McAlpine and Eyre 2002). While computing a suite of metrics is facilitated by readily accessible software (Baker and Cai 1992;McGarigal and Marks 1995;Vogt et al 2007), many redundancies have been identified (Riitters et al 1995) and limitations explicitly characterized that limit the inference that can be drawn from such metrics (Remmel and Csillag 2003).…”

Section: Introductionmentioning

confidence: 99%

Shape and resolution: quantifying feature morphology change due to coarsening spatial resolution using UAV-based images from vertical transects

Mitchell¹,

Remmel²

2016

GIScience

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Aside from tone or colour, shape is one of the most readily utilized characteristics to interpret remotely sensed imagery. As spatial resolution is coarsened, the level of observable spatial detail diminishes, thus the shapes of features become less distinct. This study controlled the observation platform, a Tetracam ADC snap multispectral camera mounted on a Phantom 2 quad-copter, to collect images along vertical transects. This design simulates continuously coarsening spatial resolution as the aircraft ascends, while maintaining consistent imaging parameters. Vegetation visible on all scenes was analysed using common shape characterizations. Scaling relationships were assessed between original shape complexity and spatial resolution (a proxy for scale). Initial results show strong scaling relationships at ultrafine scales but an interesting area of stability which, if repeatable, could have important implications for the use of UAVs in environmental research.

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The influence of patch-delineation mismatches on multi-temporal landscape pattern analysis

Cited by 47 publications

References 47 publications

A new approach for land cover classification and change analysis: Integrating backdating and an object-based method

A new approach for land cover classification and change analysis: Integrating backdating and an object-based method

Using Urban Landscape Trajectories to Develop a Multi-Temporal Land Cover Database to Support Ecological Modeling

Shape and resolution: quantifying feature morphology change due to coarsening spatial resolution using UAV-based images from vertical transects

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