Stand age estimation of rubber plantations using satellite time series

Authors: Gang Chen*, University of North Carolina at Charlotte
Topics: Physical Geography
Keywords: blank
Session Type: Paper
Day: 4/4/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Buchanan, Marriott, Mezzanine Level
Presentation File: No File Uploaded

Rubber (Hevea brasiliensis) plantations are a rapidly increasing source of land cover change in mainland
Southeast Asia. Stand age of rubber plantations obtained at fine scales provides essential baseline data, informing
the pace of industrial and smallholder agricultural activities in response to the changing global rubber
markets, and local political and socioeconomic dynamics. Here, we present an integrated pixel- and
object-based tree growth model using satellite Landsat annual time series to estimate the age of rubber plantations in a
21,115 km2 tri-border region along the junction of China, Myanmar and Laos. We produced a rubber stand age
map at 30m resolution, with an accuracy of 87.00% for identifying rubber plantations and an average error of
1.53 years in age estimation. The integration of pixel- and object-based image analysis showed superior performance
in building NDVI yearly time series that reduced spectral noises from background soil and vegetation
in open-canopy, young rubber stands. The model parameters remained relatively stable during model sensitivity
analysis, resulting in accurate age estimation robust to outliers. Compared to the typically weak statistical relationship
between single-date spectral signatures and rubber tree age, Landsat image time series analysis
coupled with tree growth modeling presents a viable alternative for fine-scale age estimation of rubber plantations.

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