绘制印度尼西亚巴厘岛 Nusa Lembongan 的海草百分比覆盖率和生物量图

Q2 Agricultural and Biological Sciences Geography, Environment, Sustainability Pub Date : 2024-04-03 DOI:10.24057/2071-9388-2023-2886
Devica Natalia Br Ginting, P. Wicaksono, N. M. Farda
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引用次数: 0

摘要

与陆地生态系统相比,海草草甸能够更有效地吸收碳并将其储存在草体和沉积物中,是蓝碳生态系统之一。然而,由于数据收集和绘图方面的局限性和挑战,有关其碳储量的全国性数据仍然难以获得。海草的覆盖率和生物量与地面碳储量密切相关,可利用遥感技术对其进行有效测绘和监测。因此,本研究旨在比较 4 种方案的准确性,并评估随机森林和逐步回归方法在绘制印度尼西亚巴厘岛努沙兰邦安海草覆盖率和生物量地图方面的性能。实验中仅使用了大气校正图像、日辉光图像、水图像以及日辉光和水柱校正图像。此外,还使用了 WorldView-3 图像和现场海草数据,并通过应用情景对图像进行了校正。绘图和建模采用了随机森林法和逐步回归法。根据 R2、RMSE 和海草空间分布,选择了最佳绘图方案和方法。结果表明,大气校正图像生成的海草覆盖率和生物量图最佳。随机森林和逐步回归模型的 R2 范围分别为 0.49-0.64 和 0.50-0.58,RMSE 范围分别为 18.50%-21.41%和 19.36%-20.72%。根据 R2、RMSE 和海草的空间分布,得出的结论是随机森林模型能产生更好的绘图结果,特别是在海草覆盖率较高的区域。
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Mapping Seagrass Percent Cover And Biomass In Nusa Lembongan, Bali, Indonesia
Seagrass meadow is one of the blue-carbon ecosystems capable of absorbing and storing carbon more effectively in the bodies and sediments than terrestrial ecosystems. However, nationwide data on its carbon stock remains elusive due to limitations and challenges in data collection and mapping. Seagrass percent cover and biomass, which were closely related with above-ground carbon stock, can be effectively mapped and monitored using remote sensing techniques. Therefore, this study aimed to compare the accuracy of 4 scenarios as well as assess the performance of random forest and stepwise regression methods, for mapping seagrass percent cover and biomass in Nusa Lembongan, Bali, Indonesia. The scenarios were experimented using only atmospherically corrected images, sunglint, water, as well as sunglint and water column corrected images. Furthermore, WorldView-3 images and in-situ seagrass data were used, with the image corrected by applying the scenarios. Random forest and stepwise regression methods were adopted for mapping and modelling. The optimum mapping scenario and method were chosen based on R2, RMSE, and seagrass spatial distribution. The results show that the atmospherically corrected image produced the best seagrass percent cover and biomass map. Range of R2 using random forest and stepwise regression model was 0.49–0.64 and 0.50–0.58, with RMSE ranging from 18.50% to 21.41% and 19.36% to 20.72%, respectively. Based on R2, RMSE, and seagrass spatial distribution, it was concluded that the random forest model produced better mapping results, specifically for areas with high seagrass percent cover.
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来源期刊
Geography, Environment, Sustainability
Geography, Environment, Sustainability Social Sciences-Geography, Planning and Development
CiteScore
2.50
自引率
0.00%
发文量
37
审稿时长
12 weeks
期刊介绍: Journal “GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY” is founded by the Faculty of Geography of Lomonosov Moscow State University, The Russian Geographical Society and by the Institute of Geography of RAS. It is the official journal of Russian Geographical Society, and a fully open access journal. Journal “GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY” publishes original, innovative, interdisciplinary and timely research letter articles and concise reviews on studies of the Earth and its environment scientific field. This goal covers a broad spectrum of scientific research areas (physical-, social-, economic-, cultural geography, environmental sciences and sustainable development) and also considers contemporary and widely used research methods, such as geoinformatics, cartography, remote sensing (including from space), geophysics, geochemistry, etc. “GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY” is the only original English-language journal in the field of geography and environmental sciences published in Russia. It is supposed to be an outlet from the Russian-speaking countries to Europe and an inlet from Europe to the Russian-speaking countries regarding environmental and Earth sciences, geography and sustainability. The main sections of the journal are the theory of geography and ecology, the theory of sustainable development, use of natural resources, natural resources assessment, global and regional changes of environment and climate, social-economical geography, ecological regional planning, sustainable regional development, applied aspects of geography and ecology, geoinformatics and ecological cartography, ecological problems of oil and gas sector, nature conservations, health and environment, and education for sustainable development. Articles are freely available to both subscribers and the wider public with permitted reuse.
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