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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (4) : 139-147     DOI: 10.6046/gtzyyg.2017373
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Remote sensing survey and proposal for protection of the natural resources in Guangdong-Hong Kong-Macao Greater Bay Area
Yuling ZHAO
China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
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Abstract  

Based on the large quantities of remote sensing data in 2015 and topographic data, the authors studied the interpretation keys and extraction technique of different types of natural resources. In general, the results show the current situation of the natural resources in Guangdong-Hong Kong-Macao Greater Bay Area, such as the shoreline, the mangrove wetlands, the wetlands, the arable land, the garden plot,the forest land, the grassland,the surface water and the desertified lands. The length of the artificial shoreline accounts for 60.34% of the total length of the mainland shoreline, The area of the arable land is 7 820.59 km 2, whereas the area of the desertified lands is 396.80 km 2. Statistics of ecological footprint and eco-capacity in 2015 of Guangdong-Hong Kong-Macao Greater Bay Area show Haizhu District, Tianhe District, Huangpu District, Panyu District and northwestern Baiyun District of Guangzhou, Nanhai District, Chancheng District and Shunde District of Foshan, northern Dongguan, Baoan District, Nanshan District, Luohu District, Futian District and northwestern Longgang District of Shenzhen, Huiyang District of Huizhou, west Huidong County, Zhongshan, Jianghai District of Jiangmen and Xiangzhou District of Zhuhai are inadequate in ecological footprint in terms of eco-capacity and are weak in eco-function.

Keywords Guangdong-Hong Kong-Macao Greater Bay Area      natural resources      remote sensing survey      ecological footprint     
:  TP79  
Issue Date: 07 December 2018
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Yuling ZHAO
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Yuling ZHAO. Remote sensing survey and proposal for protection of the natural resources in Guangdong-Hong Kong-Macao Greater Bay Area[J]. Remote Sensing for Land & Resources, 2018, 30(4): 139-147.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017373     OR     https://www.gtzyyg.com/EN/Y2018/V30/I4/139
Fig.1  Statistics of the forest in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
Fig.2  Statistics of the grassland in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
Fig.3  Statistics of the surface water in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
Fig.4  Statistics of the wetlands in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
地市 基岩海岸线/km 沙砾质海岸线/km 淤泥质海岸线/km 生物海岸线/km 人工海岸线/km 海岸线系数/km-1
珠海市 58.15 18.43 3.37 203.58 0.166 68
广州市 39.64 7.24 3.49 146.14 0.026 43
江门市 114.04 10.69 0.89 6.75 143.41 0.029 01
东莞市 7.41 16.88 94.26 0.047 19
深圳市 82.84 40.75 28.36 164.24 0.158 34
中山市 0.66 7.10 47.93 0.031 22
惠州市 71.63 78.88 2.56 112.86 0.022 93
Tab.1  Statistics of the length of mainland coastlines in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
Fig.5  Statistics of the farmland in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
Fig.6  Statistics of the garden plot in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
市域 区县 红树林面积
东莞市 东莞市 53.71
番禺区 72.88
广州市 南沙区 244.95
黄浦区 7.28
惠州市 惠东县 39.35
台山市 1 025.63
江门市 恩平市 148.57
新会区 143.15
电白县 301.91
深圳市 宝安区 102.66
龙岗区 27.78
阳东县 369.07
中山市 中山市 127.74
珠海市 斗门市 129.53
金湾区 250.37
香洲区 530.42
Tab.2  Statistics of the mangrove wetlands in Guangdong-Hong Kong-Macao Greater Bay Area in 2015 (hm2)
Fig.7  Statistics of the desertified land in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
Fig.8  PCI in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
Fig.9  Statistics of the ecological footprint in Guangdong-Hong Kong-Macao Greater Bay Area in 2015
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