Spatial and temporal characteristics of vegetation information in Zhejiang Province using the Google Earth Engine

Haozhe Sun; Haonan Wang; Chao Chen; Ao Kong

doi:10.1117/12.2667435

10 February 2023 Spatial and temporal characteristics of vegetation information in Zhejiang Province using the Google Earth Engine

Haozhe Sun, Haonan Wang, Chao Chen, Ao Kong

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Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520G (2023) https://doi.org/10.1117/12.2667435
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

In this study, based on the Landsat satellite images of Google Earth Engine (GEE), the temporal and spatial characteristics of NDVI, FVC and LAI in Zhejiang Province from 1985 to 2021 were studied. The results showed that: (1) The vegetation condition in Zhejiang Province has been significantly improved. The vegetation coverage increased significantly, the growth status continued to rise, and the growth density continued to expand. (2) The overall vegetation status of Zhejiang Province in the past three decades showed a downward trend first and then an upward trend. (3) There are obvious regional differences in vegetation distribution, that high levels in western and southern mountains, low levels in northern plains and eastern coastal areas. (4) Vegetation in mountainous areas has increased significantly and expansion of low vegetation index areas around cities has slowed.

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Haozhe Sun, Haonan Wang, Chao Chen, and Ao Kong "Spatial and temporal characteristics of vegetation information in Zhejiang Province using the Google Earth Engine", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520G (10 February 2023); https://doi.org/10.1117/12.2667435

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KEYWORDS

Vegetation

Landsat

Reflectivity

Earth observing sensors

Near infrared

Remote sensing

Satellites

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