A temporal analysis of urban forest carbon storage using remote sensing

Myeong, Soojeong; Nowak, David J.; Duggin, Michael J.

doi:10.1016/j.rse.2005.12.001

Cited by 217 publications

(127 citation statements)

References 16 publications

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“…However, a systematic evaluation of the spatiotemporal trends of vegetation activities across multiple cities over large areas is still lacking [12]. The Normalized Difference Vegetation Index (NDVI) has been adopted as an effective index for describing the dynamics of urban vegetation [18,19]. As a remote sensing index, NDVI can indirectly estimate gross and net primary productivity, biomass, and green leaf area in a variety of grassland and forest ecosystems [20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Correlations between Urbanization and Vegetation Degradation across the World’s Metropolises Using DMSP/OLS Nighttime Light Data

et al. 2015

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Changes in biodiversity owing to vegetation degradation resulting from widespread urbanization demands serious attention. However, the connection between vegetation degradation and urbanization appears to be complex and nonlinear, and deserves a series of long-term observations. On the basis of the Normalized Difference Vegetation Index (NDVI) and the image's digital number (DN) in nighttime stable light data (NTL), we delineated the spatiotemporal relations between urbanization and vegetation degradation of different metropolises by using a simplified NTL calibration method and Theil-Sen regression. The results showed clear and noticeable spatiotemporal differences. On spatial relations, rapidly urbanized cities were found to have a high probability of vegetation degradation, but in reality, not all of them experience sharp vegetation degradation. On temporal characteristics, the degradation degree was found to vary during different periods, which may depend on different stages of urbanization and climate history. These results verify that under the scenario of a OPEN ACCESSRemote Sens. 2015, 7 2068 vegetation restoration effort combined with increasing demand for a high-quality urban environment, the urbanization process will not necessarily result in vegetation degradation on a large scale. The positive effects of urban vegetation restoration should be emphasized since there has been an increase in demand for improved urban environmental quality. However, slight vegetation degradation is still observed when NDVI in an urbanized area is compared with NDVI in the outside buffer. It is worthwhile to pay attention to landscape sustainability and reduce the negative urbanization effects by urban landscape planning.

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Section: Introductionmentioning

confidence: 99%

Correlations between Urbanization and Vegetation Degradation across the World’s Metropolises Using DMSP/OLS Nighttime Light Data

et al. 2015

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“…Studies on C storage and sequestration by urban forests have been mostly conducted in the United States (Rowntree and Nowak, 1991;Nowak, 1993Nowak, , 1994Jo and McPherson, 1995;McPherson et al, 1997McPherson et al, , 1999McPherson, 1998;Myeong et al, 2006;McHale et al, 2007McHale et al, , 2009Escobedo et al, 2010). However, there has been an increasing interest in quantification of C storage and sequestration by urban forests in both developing and developed countries (e.g., Brack, 2002;Jo, 2002;Yang et al, 2005;Gratani and Varone, 2006;Myeong et al, 2006;Stoffberg et al, 2010;Zhao et al, 2010). These studies greatly expand our understanding on the role of urban forests in C storage and sequestration.…”

Section: Introductionmentioning

confidence: 99%

Carbon storage and sequestration by urban forests in Shenyang, China

Liu

2012

Urban Forestry & Urban Greening

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“…The temporal differences in sensor calibration and in environmental factors between the images acquired were also corrected. The digital numbers (DNs) were converted at satellite reflectance values for targeted bands (Huang et al, 2001;Myeong et al, 2006). Radiance was calculated from DN as follow in the Equation (1).…”

Section: Data Processingmentioning

confidence: 99%

Evaluating the Conservation Efforts of Multi-Projects Using Remote Sensing and Light Use Efficiency Model: A Case of Nyungwe Forest National Park, Rwanda

Rutebuka¹,

Zhang²,

Asamoah³

et al. 2018

OJF

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This paper investigates the effectiveness of conservation efforts in the Nyungwe Forest National Park (Nyungwe). The forest is one of the six key landscapes identified for conservation in the Albertine Rift because it hosts many threatened species. As such, a number of different stakeholders have been involved in its conservation since 1987; yet, studies that emphasize and evaluate the success of these conservation efforts are limited. We combined a rapid and relatively low cost remotely-sensed data and the Light Use Efficiency model to generate forest conservation indicators such as NDVI, forest canopy Net Primary Productivity and carbon sequestered from 1986 to 2010. The influence of topographic and climatic factors on these indicators was examined. The supervised classifier was used to catalogue the area into Forest, Wetland, and Bareland. The forest was the major category (above 90%) of Nyungwe relative to wetland and bareland. Based on degradation intensity, two distinctive periods were realised; the first period spans 8 years (1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994) whereas the second spans 16 years (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010). The former degradation intensity period is 10 times higher than the latter period. Although the size of forest recovered up to 90%, the daily NPP and carbon sequestration capacity decreased by 37.1% (i.e. NPP 6. (high altitude) had a higher degradation. Guided by our indicators, there is an overall success in conservation efforts, but efforts were mostly concentrated in accessible areas. Therefore, conservation efforts that aim to respond to degradation of the inaccessible areas of the forest should be stressed in the management plan of the park.

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A temporal analysis of urban forest carbon storage using remote sensing

Cited by 217 publications

References 16 publications

Correlations between Urbanization and Vegetation Degradation across the World’s Metropolises Using DMSP/OLS Nighttime Light Data

Correlations between Urbanization and Vegetation Degradation across the World’s Metropolises Using DMSP/OLS Nighttime Light Data

Carbon storage and sequestration by urban forests in Shenyang, China

Evaluating the Conservation Efforts of Multi-Projects Using Remote Sensing and Light Use Efficiency Model: A Case of Nyungwe Forest National Park, Rwanda

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