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首页> 外文期刊>International journal of remote sensing >Assessing changes of urban vegetation cover and aboveground carbon stocks using LiDAR and Landsat imagery data in Auckland, New Zealand
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Assessing changes of urban vegetation cover and aboveground carbon stocks using LiDAR and Landsat imagery data in Auckland, New Zealand

机译：使用LiDAR和Landsat影像数据评估新西兰奥克兰的城市植被覆盖和地上碳储量的变化

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摘要

Urban vegetation can help to offset carbon emissions. However, urban vegetation cover is vulnerable to urbanization. This study attempts to detect the change in vegetation cover and to quantify its impact on aboveground carbon (AGC) stocks in Auckland, New Zealand, between 1989 and 2014. Field-measured vegetation parameters were used to calculate the amount of carbon stored in plants at the plot-level. Plot-level AGC stocks were linked with vegetation spectral/structural features derived from Landsat images and Light Detection and Ranging (LiDAR) data. These data were also used to map vegetation cover and to estimate AGC stock. Vegetation cover decreased from 394.0 km(2) in 1989 to 379.4 km(2) in 2014. AGC stock in 1989 was estimated at 1,001,184 Mg C from Landsat 4 data. The total AGC in 2014 was estimated at 1,459,530 Mg C from Landsat 8 data. Thus, total AGC stock increased by 458,346 Mg C (45.8%) in spite of a 3.7% decrease in vegetation cover (14.6 km(2)) during the same period. The increase in AGC stock was derived partly from tree growth and tree plantings. Vegetation growth contributed more to the increase in AGC stock than its gain from non-vegetation to vegetation changes. The AGC stored in trees and shrubs estimated at 1,333,011 Mg C from the 2014 Landsat data is 5.7% lower than 1,414,607 Mg C estimated from the 2013 LiDAR data, due to the inability of optical imagery to capture the sub-canopy structure of forests and the saturation effect. Thus, LiDAR data provided a more accurate estimate of AGC stock, especially when the stock density is high (e.g. >97.9 Mg C ha(-1)).
机译：城市植被可以帮助抵消碳排放。但是，城市植被覆盖很容易受到城市化的影响。这项研究试图检测植被的变化，并量化其对1989年至2014年间在新西兰奥克兰的地上碳（AGC）储量的影响。实地测量的植被参数用于计算在地块级别。地块级AGC种群与从Landsat影像和光探测与测距（LiDAR）数据得出的植被光谱/结构特征相关联。这些数据还用于绘制植被覆盖图和估计AGC存量。植被覆盖范围从1989年的394.0 km（2）减少到2014年的379.4 km（2）。根据Landsat 4数据，1989年的AGC储量估计为1,001,184 MgC。根据Landsat 8的数据，2014年的总AGC估计为1,459,530 MgC。因此，尽管同期植被覆盖率（14.6 km（2））减少了3.7％，但AGC的总存量还是增加了458,346 Mg C（45.8％）。 AGC存量的增加部分来自树木生长和植树。植被的增长对AGC储量增加的贡献大于从非植被对植被变化的收益。根据2014年Landsat数据估计的树木和灌木中的AGC估计为1,333,011 Mg C，比2013年LiDAR数据估计的1,414,607 Mg C低5.7％，这是由于光学图像无法捕获森林的亚冠层结构和饱和效应。因此，LiDAR数据提供了对AGC存量的更准确的估计，尤其是在存量密度较高（例如> 97.9 Mg C ha（-1））时。

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  • 来源
    《International journal of remote sensing》 |2020年第6期|2140-2158|共19页
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    Univ Auckland Sch Environm Auckland New Zealand;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
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  • 正文语种 eng
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