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

Bin Li; Yi Du; Liwei Lu; Wenlong Yu

doi:10.1117/12.2682606

1 June 2023 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, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023); 1271009 (2023) https://doi.org/10.1117/12.2682606
Event: International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), 2023, Changsha, China

Abstract

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.

Citation Download Citation

Bin Li, Yi Du, Liwei Lu, and Wenlong Yu "Study on vegetation dynamic changes monitoring by remote sensing based on the vegetation index", Proc. SPIE 12710, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), 1271009 (1 June 2023); https://doi.org/10.1117/12.2682606

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KEYWORDS

Vegetation

Remote sensing

Landsat

Earth observing sensors

Reflection

Satellites

Ecosystems

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