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Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
Published on: August 29, 2019
[Analysis of vegetation dynamics over Liaoning province based on remote sensing data]
Li-wen Wang1, Ya-xing Wei, Zheng Niu
1The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China. wlw9585@163.com
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|March 3, 2009
Summary
Vegetation greenness in Liaoning province showed an upward trend from 1984-1990, then a downward trend until 1998. These changes in Normalized Difference Vegetation Index (NDVI) are linked to increased aridity.
Area of Science:
- Remote Sensing
- Ecology
- Environmental Science
Context:
- Liaoning province's vegetation dynamics over two decades (1982-2001).
- Utilized NOAA AVHRR sensor data for Normalized Difference Vegetation Index (NDVI) analysis.
Purpose:
- To analyze the spatial heterogeneity and temporal dynamics of vegetation in Liaoning province.
- Investigate deviations in monthly NDVI values and identify trends and oscillations.
Summary:
- Employed statistical analyses (CV, Z-scores, 36-month running mean) on 2,292 NDVI values.
- Observed strong seasonal vegetation oscillations peaking July-August (6-14% CV).
- Detected an upward NDVI trend (1984-1990), followed by a downward trend (1991-1998) with a 7-8 year interannual oscillation.
Impact:
- Vegetation variability patterns are attributed to enhanced aridity in the late 20th century.
- Found increased NDVI peak variation along latitude during dry seasons in the 1990s compared to the 1980s.