Developing a land-cover classification to select indicators of forest ecosystem health in a rapidly urbanizing landscape

Styers, Diane M.; Chappelka, Arthur H.; Marzen, Luke; Somers, Greg L.

doi:10.1016/j.landurbplan.2009.09.006

Cited by 119 publications

(44 citation statements)

References 25 publications

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“…The results show that the comprehensive control mechanisms implemented in HDA have been effective in improving ecosystem health. Similar conclusions about the effectiveness of human intervention in curbing KRD have also been made [51,52].…”

Section: Discussionsupporting

confidence: 77%

Quantitative Evaluation of Ecosystem Health in a Karst Area of South China

et al. 2016

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Abstract:The purpose of this study is to propose a GIS-based mechanism for diagnosing karst rocky desertification (KRD) ecosystem health. Using the Huajiang Demonstration Area in Guizhou Province as a case study, this research offers a multi-factor indicator system for diagnosing KRD ecosystem health. A set of geologic, environmental, and socio-economic health indicators were developed based on remote sensing images from field-investigation, hydrological, and meteorological monitoring data. With the use of grid GIS technology, this study gives an indicator for diagnosing the spatial expression of desertification at a 5 m × 5 m grid scale. Using spatial overlaying technology based on grid data, the temporal and spatial dynamics of ecosystem health in the Huajiang Demonstration Area were tracked over a 10 year time span. The results of the analysis indicate that ecosystem health in the Huajiang Demonstration Area varies regionally, and has overall improved over time. The proportion of healthy area increased from 3.7% in 2000 to 8.2% in 2010. However, unhealthy and middle-health areas still accounted for 78.7% of the total area by 2010. The most obvious improvement of ecosystem health was in an area where comprehensive control measures for curbing KRD were implemented. These results suggest that comprehensive control of KRD can effectively mitigate ecosystem deterioration and improve ecosystem health in karst regions of South China.

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Section: Discussionsupporting

confidence: 77%

Quantitative Evaluation of Ecosystem Health in a Karst Area of South China

et al. 2016

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“…Some examples of such services provided by land cover are biodiversity, water filtration, retention of soil, and air purification, just to name a few (Nasiri and Huang 2007). As such, there exists a close correlation between land uses and the state of ecological environment (Styers et al 2010). An inappropriate land allocation and use may lead to significant degradation of local and regional ecological services (Collin and Melloul 2001).…”

Section: Introductionmentioning

confidence: 99%

Variation in ecosystem service values in response to land use changes in Zhifanggou watershed of Loess plateau: a comparative study

Jin

Han

2014

Environ Syst Res

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Background: Anthropological activities could lead to various land use changes. This subsequently exerts impacts on the Ecological status as the land is the carrier of Ecosystems and their services. Ecosystem Services Values (ESVs) are monetary assessment of ecosystems services. The choice of ecosystem services valuation methods highly depends on the type and conditions of the ecological environment. Results: In this paper, Zhifangou watershed, a watershed with fragile environments in Loess Plateau, is analyzed in terms of the historical changes of land uses and their impact on Ecosystem Services Values (ESVs). The analysis presents that the watershed had seen a large cover of forest (689.8 hectare) and grassland (97.08 hectare) until 1938, which were substituted with a cropland of 663.56 hectare in the following years, and then a gradual recovery of natural land from 1978. During these years, the human activities have ranged from little disruption, to excessive cultivation, and finally to an integrated management of the watershed. The ESVs were highest at $121.77 × 10 4 in 1938, lowest at $43.75 × 10 4 in 1958, and then rebounded to $113.44 × 10 4 in 1999.

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“…Moreover, remote sensing canopy assessments are reasonably simple and can be conducted quickly, inexpensively, and without access or disturbance issues encountered in groundbased data collections [2,3]; thus, they can provide valuable supplemental information in areas that cannot be accessed on the ground. These spatially explicit assessments provide a means to measure and monitor over time complex urban environments, and their dynamic ecologies [4,5], for example, through the use of spatial metrics [6]. For instance, tree cover surveys and forest pattern metrics are useful to help a city quantify current tree cover status [7], determine the locations and drivers of cover loss or gain [8], and monitor these trends over time [9].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Urban Tree Cover Using Object-Based Image Analysis and Public Domain Remotely Sensed Data

2011

Self Cite

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Abstract:Urban forest ecosystems provide a range of social and ecological services, but due to the heterogeneity of these canopies their spatial extent is difficult to quantify and monitor. Traditional per-pixel classification methods have been used to map urban canopies, however, such techniques are not generally appropriate for assessing these highly variable landscapes. Landsat imagery has historically been used for per-pixel driven land use/land cover (LULC) classifications, but the spatial resolution limits our ability to map small urban features. In such cases, hyperspatial resolution imagery such as aerial or satellite imagery with a resolution of 1 meter or below is preferred. Object-based image analysis (OBIA) allows for use of additional variables such as texture, shape, context, and other cognitive information provided by the image analyst to segment and classify image features, and thus, improve classifications. As part of this research we created LULC classifications for a pilot study area in Seattle, WA, USA, using OBIA techniques and freely available public aerial photography. We analyzed the differences in accuracies which can be achieved with OBIA using multispectral and true-color imagery. We also compared our results to a satellite based OBIA LULC and discussed the implications of per-pixel driven vs. OBIA-driven field sampling campaigns. We demonstrated that the OBIA approach can generate good and repeatable LULC classifications suitable for tree cover assessment in urban areas. Another important finding is that spectral content appeared to be more important than spatial detail of hyperspatial data when it comes to an OBIA-driven LULC.

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Developing a land-cover classification to select indicators of forest ecosystem health in a rapidly urbanizing landscape

Cited by 119 publications

References 25 publications

Quantitative Evaluation of Ecosystem Health in a Karst Area of South China

Quantitative Evaluation of Ecosystem Health in a Karst Area of South China

Variation in ecosystem service values in response to land use changes in Zhifanggou watershed of Loess plateau: a comparative study

Monitoring Urban Tree Cover Using Object-Based Image Analysis and Public Domain Remotely Sensed Data

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