Dr. Wenlong Yu Profile

Dr. Wenlong Yu

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Proceedings Article | 1 June 2023 Paper

Study on vegetation dynamic changes monitoring by remote sensing based on the vegetation index

Bin Li, Yi Du, Liwei Lu, Wenlong Yu

Proceedings Volume 12710, 1271009 (2023) https://doi.org/10.1117/12.2682606

KEYWORDS: Vegetation, Remote sensing, Landsat, Earth observing sensors, Reflection, Satellites, Ecosystems, Data modeling, Environmental monitoring

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As an active member of the earth ecosystem, vegetation is the center of material circulation and energy flow in the ecosystem, and plays an indicator role in environmental changes. Any changes in the terrestrial ecosystem will inevitably lead to certain changes in its type, quantity or quality. Vegetation cover is the most direct indicator of vegetation changes, and studying its distribution can provide a reliable scientific basis for vegetation planting and protection. With the continuous development of technology, a relatively complete landsat monitoring system has been formed, and abundant landsat image database has been established. Based on Landsat 8 time series remote sensing data from 2016 to 2021, normalized difference vegetation index was used to study vegetation growth and monitor the dynamic changes of vegetation growth in Jining City in recent 6 years. The results showed that the vegetation coverage was good in Jining except Weishan County. The vegetation growth trend of Jining City was increasing in Liangshan County, Wenshang County, Jiaxiang County, Rencheng District, Yanzhou District and Qufu City. Sishui County, Zoucheng City, Weishan County and Yutai County showed a partial growth trend. The greenness of vegetation in Jinxiang County showed a decreasing trend. The growth trend of Wenshang County was the strongest, while the decline trend of Jinxiang County was the strongest. The results showed that remote sensing monitoring can greatly improve the efficiency of monitoring vegetation growth. The vegetation growth changes have a certain relationship with the urban construction level and the urban ecological construction policy.

Proceedings Article | 10 February 2023 Paper

Water pollution environment information extraction based on Landsat images

Wenlong Yu, Yingqi Wen, Rui Wang

Proceedings Volume 12552, 125520P (2023) https://doi.org/10.1117/12.2667284

KEYWORDS: Pollution, Water contamination, Remote sensing, Landsat, Water quality, Vegetation, Earth observing sensors, Nitrogen, Technology, Environmental sensing

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Taihu Lake, one of the five largest freshwater lakes in China, is located in the south of the Yangtze River Delta, with a water area of 2338.1km². In recent years, with the deterioration of water quality, the water pollution in Taihu Lake has become increasingly serious. In 2007, a large-scale outbreak of cyanobacteria caused a water crisis for nearly 2 million people in Wuxi. The main performance of water pollution is that the content of nitrogen and ammonia in water exceeds the standard, which leads to eutrophication of water and excessive proliferation of algae. Therefore, this paper uses Landsat-5 TM, Landsat-7 ETM and Landsat-8 OLI remote sensing data to study the information extraction methods of eutrophic polluted water bodies in Taihu region. By comparing with the health status report on Taihu Lake, it is found that the calculation results of remote sensing data can well reflect the distribution characteristics of ammonia nitrogen pollution in this area, and provide a basis for monitoring and controlling ammonia nitrogen pollution in this area by using remote sensing technology.

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