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首页> 外文期刊>International journal of sports medicine >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：利用新西兰奥克兰奥克兰的LIDAR和LANDSAT图像数据评估城市植被覆盖和地上碳储存的变化

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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。然而，城市植被封面容易受到城市化的影响。本研究试图检测植被覆盖的变化，并量化1989年至2014年间新西兰奥克兰地上碳（AGC）股的影响。用于计算植物中储存的碳量的植物参数情节级别。情节级AGC股票与植物谱/结构特征联系起来，来自Landsat图像和光检测和测距（LIDAR）数据。这些数据也用于映射植被覆盖并估计AGC库存。植被覆盖率从1989年的394.0 km（2）减少到2014年的379.4公里（2）。1989年AGC股票估计从Landsat 4数据估计为1,001,184 mg C. 2014年的总AGC估计从Landsat 8数据估计为1,459,530 mg C.因此，尽管植被覆盖率下降了3.7％（14.6公里（2）），但总AGC股票增加了458,346 mg C（45.8％）。 AGC股票的增加部分来自树生长和树种植。植被生长促使AGC股增加的增加而不是从非植被到植被变化的增加。储存在树木和灌木上的AGC估计在2014年Landsat数据的1,333,011 mg C中，从2013年LIDAR数据估计的1,414,607 mg C为5.7％，因为光学图像无法捕获森林的子冠层结构和森林饱和效果。因此，LIDAR数据提供了对AGC股票的更准确估计，特别是当股票密度高（例如> 97.9mg C ha（-1））时。

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