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Multi-sensor satellite data for carbon storage mapping of green space in a fast growing development corridor in Malaysia

机译:多传感器卫星数据用于马来西亚快速发展的走廊中的绿色空间碳储量制图

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Disturbances such as deforestation and land use change on natural vegetation have caused carbon dioxide (CO_2) emission to the atmosphere which contributes to global warming and climate change. Malaysia has started to take necessary steps to mitigate the potential impact of increased CO_2 and integrating the green infrastructure into urban planning is a way to go. Green space in urban environment provides a variety of benefits to the community by sequestrating carbon, absorbing urban emissions and producing oxygen. In this study we quantified the carbon storage capacity of various green spaces, namely forests, mangroves and urban parks by biometric measurements and remote sensing techniques at a rapidly developing economy region in Iskandar Malaysia (IM) in the southern Peninsular Malaysia that covers an area of 2,217 km2. Satellite imageries such as RapidEye and Advanced Land Observing Satellite phased Array type L-band Synthetic Aperture Radar) were used for mapping the carbon content of different vegetation in IM. The spatial distribution of carbon storage shows that mangroves contribute the largest amount of carbon storage in IM with 0.437M t C and this is mainly due to their vast area (8382 ha). This is followed by tropical forest (0.185M t C). However, tropical forest has the highest carbon density with 161.7 tC ha~(-1) compared to mangroves (52.1 tC ha~(-1)). In general, trees in urban parks have lower carbon storage (ranging between 32.63 tC ha~(-1) to 48.81 tC ha~(-1)) compared to forests and mangrove. In total, these vegetation types in IM remove ~2.29 M tCO~2 eq. Green space in IM was found to remove about 3% of carbon emitted to the air in IM. These results suggest that the government must make firm policies to increase more green cover in the urban areas and to preserve the existing green space for improving environmental quality for people and supporting biodiversity conservation.
机译:诸如森林砍伐和自然植被的土地利用变化之类的干扰已导致向大气中排放二氧化碳(CO_2),从而导致全球变暖和气候变化。马来西亚已开始采取必要步骤来减轻CO_2增加的潜在影响,并且将绿色基础设施纳入城市规划是一种可行的方法。城市环境中的绿色空间通过隔离碳,吸收城市排放物和产生氧气,为社区带来了各种好处。在这项研究中,我们通过生物测量和遥感技术,在马来西亚半岛南部马来西亚依斯干达(IM)快速发展的经济区域,通过生物特征测量和遥感技术,对各种绿色空间(即森林,红树林和城市公园)的碳存储能力进行了量化。 2,217平方公里卫星图像(例如RapidEye和高级陆地观测卫星相控阵型L波段合成孔径雷达)用于绘制IM中不同植被的碳含量。碳储量的空间分布表明,红树林在IM中的碳储量最大,为0.437M t C,这主要是由于其广阔的面积(8382公顷)。其次是热带森林(0.185M t C)。然而,与红树林(52.1 tC ha〜(-1))相比,热带森林具有最高的碳密度,为161.7 tC ha〜(-1)。通常,与森林和红树林相比,城市公园中的树木碳储量较低(介于32.63 tC ha〜(-1)至48.81 tC ha〜(-1)之间)。总的来说,IM中的这些植被类型可去除〜2.29 M tCO〜2当量。发现IM中的绿色空间清除了IM中排放到空气中的约3%的碳。这些结果表明,政府必须制定坚定的政策,以增加城市地区的绿色覆盖率,并保留现有的绿色空间,以改善人们的环境质量并支持生物多样性保护。

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