A Dataset on Spatial Distribution of Mangroves in Qi'ao Island, Zhuhai, Guangdong Province from 2000 to 2020

Expand
  • College of Science, Guangdong University of Petrochemical Technology (GDUPT), Maoming 525000, Guangdong, China

Received date: 2023-05-10

  Online published: 2023-08-15

Abstract

Mangroves are distributed in the tropical and subtropical coastal intertidal zones, playing a critical role in the global carbon cycle and providing service value for ecological and ecological economic development. But with the development of human activities and the deterioration of the natural environment, mangrove resources have sharply decreased. Using Landsat images of 2000, 2005, and 2010, and Sentinel-2 images of 2015 and 2020, through decision tree classification and object-oriented classification methods, combined with field surveys, the study extracts the spatial distribution and area of mangroves each year, and produces the spatial distribution dataset of mangroves in Qi'ao Island from 2000 to 2020. The article dataset can analyze the spatial dynamic evolution of mangroves, providing important references for scientific research such as the dynamic changes of mangroves on Qi'ao Island and the evaluation of ecological environment quality; providing decision-making support for the protection, restoration, and management of mangrove wetlands; and providing basic data support for environmental monitoring in Zhuhai and Guangdong Province.

Cite this article

CAI HuiNa, WANG Ruei-Yuan . A Dataset on Spatial Distribution of Mangroves in Qi'ao Island, Zhuhai, Guangdong Province from 2000 to 2020[J]. Journal of Agricultural Big Data, 2023 , 5(2) : 9 -15 . DOI: 10.19788/j.issn.2096-6369.230203

References

[1] 王文卿, 王瑁. 中国红树林[M]. 北京: 科学出版社, 2007: 5.
[1] Wang W Q, Wang M. Mangrove forests of China[M]. Beijing: Science Press, 2007: 5. (in Chinese)
[2] Glaser M. Interrelations between mangrove ecosystem, local economy and social sustainability in Caete Estuary, North Brazil[J]. Wetlands Ecology and Management, 2003, 11(4): 265-272.
[3] 丁冬静, 廖宝文, 管伟, 等. 东寨港红树林自然保护区滨海湿地生态系统服务价值评估[J]. 生态科学, 2016, 35(6): 182-190.
[3] Ding D J, Liao B W, Guan W, et al. Evaluation on service value of coastal wetland ecosystem in Dongzhai harbor mangrove nature reserve[J]. Ecological Science, 2016, 35(6): 182-190. (in Chinese)
[4] Song S S, Ding Y L, Li W, et al. Mangrove reforestation provides greater blue carbon benefit than afforestation for mitigating global climate change[J]. Nature Communications, 2023, 14(1):1-11.
[5] 但新球, 廖宝文, 吴照柏, 等. 中国红树林湿地资源、保护现状和主要威胁[J]. 生态环境学报, 2016, 25(7):1237-1243.
[5] Dan X Q, Liao B W, Wu Z B, et al. Resources, conservation status and main threats of mangrove wetlands in China[J]. Ecology and Environmental Sciences, 2016, 25(7): 1237-1243. (in Chinese)
[6] Pranchai A, Jenke M, Berger U. Well-intentioned, but poorly implemented: debris from coastal bamboo fences triggered mangrove decline in Thailand[J]. Marine Pollution Bulletin, 2019, 146:900-907.
[7] 唐焕丽, 刘凯, 朱远辉, 等. 基于WorldView-2数据和支持向量机的红树林群落分类研究[J]. 中山大学学报(自然科学版), 2015, 54(4): 102-111.
[7] Tang H L, Liu K, Zhu Y H, et al. Mangrove community classification based on World View-2 image and SVM method[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2015, 54(4):102-111. (in Chinese)
[8] 邱霓, 徐颂军, 邱彭华, 等. 珠海淇澳岛红树林群落分布与景观格局[J]. 林业科学, 2019, 55(1):1-10.
[8] Qiu N, Xu S J, Qiu P H, et al. Community distribution and landscape pattern of the mangrove on the Qi’ao Island,Zhuhai[J]. Scientia Silvae Sinicae, 2019, 55 (1) :1-10. (in Chinese)
[9] Giri C. Observation and monitoring of mangrove forests using remote sensing: opportunities and challenges[J]. Remote Sensing, 2016, 8(9): 783.
[10] Giri C, Ochieng E, Tieszen L L, et al. Status and distribution of mangrove forests of the world using earth observation satellite data[J]. Global Ecology Biogeography, 2011, (20): 154-159.
[11] Bunting P, Rosenqvist A, Lucas R, et al. The global mangrove watch—a new 2010 global baseline of mangrove extent[J]. Remote Sensing, 2018, 10(10): 1669.
[12] Chen B, Xiao X, Li X, et al. A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 131: 104-120.
[13] 孔令婷, 杨英宝, 章勇. 基于不同分辨率遥感影像的分类方法对比研究[J]. 测绘与空间地理信息, 2015, 38(3):40-43.
[13] Kong L T, Yang Y B, Zhang Y. Study on classification methods based on different resolution remote sensing image[J]. Geomatics & Spatial Information Technology, 2015, 38(3):40-43. (in Chinese)
[14] Lucas I F J, Frans J M, Wel V D. Accuracy assessment of satellite derived land-cover data: A review[J]. Photogrammetric Engineering and Remote Sensing, 1994, 60(4):410-432.
[15] Landis J R, Koch G G. The measurement of observer agreement for categorical data[J]. Biometrics, 1977, 33(1):159-174.
Outlines

/