PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (4): 703-712.doi: 10.18306/dlkxjz.2021.04.014

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Forest vegetation classification and its variation in Lushan Nature Reserve using Proba-V vegetation products

ZHANG Li1(), LI Bin1,2, YANG Wenjing1, LI Qiong3   

  1. 1. Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
    2. College of Oceanography and space informatics, China University of Petroleum (East China), Qingdao 266580, Shandong, China
    3. Wuhan Geomatics Institute, Wuhan 430022, China
  • Received:2020-03-04 Revised:2020-10-16 Online:2021-04-28 Published:2021-06-28
  • Supported by:
    National Natural Science Foundation of China(41701514);National Natural Science Foundation of China(41761076);Natural Science Foundation of Jiangxi Province(20161BAB213074);Open Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education (Jiangxi Normal University)(PK20170005)


Nature reserves are the areas with the most abundant biodiversity. Conducting a survey of current forest biodiversity in Lushan Nature Reserve and understanding the distribution and changes of vegetation in the protected area is of great significance for the protection of forest resources in Lushan. In this study, we used the Proba-V satellite 100-meter resolution 5-day vegetation index product from 2015 to 2018 using the maximum synthesis and Hants time series harmonic analysis methods to smooth the data and reduce noise, and used a random forest algorithm to classify the forest vegetation. The changes of Lushan vegetation communities were also analyzed. The research results show that: 1) The overall accuracies of the random forest classification of Lushan forestland from 2015 to 2018 were 85%, 84.25%, 84.75%, and 85.25% while Kappa coefficients were 0.80, 0.79, 0.81, and 0.80, respectively. Compared with the Cover-CCI-2010, Globcover-2009, Globeland30, and MODIS-2010 land cover products, the classification results by random forest classifier based on time series NDVI products have achieved good classification effect and high classification accuracy in spatial resolution and mapping accuracy. 2) In Lushan Nature Reserve, coniferous forest and broad-leaved forest are concentrated while mixed forest and bamboo forest are scattered among them. Coniferous forest has the largest distribution area, accounting for 39.36% of the total forest area, and the bamboo forest has the smallest distribution area, accounting for 14.63%. 3) From 2015 to 2018, the spatial distribution of forest vegetation communities in Lushan did not change much. The change rates of broad-leaved forest, coniferous forest, and mixed forest were all less than 10%. Bamboo forest fluctuated during 2015-2018 because of the interference of human activities while the change of broad-leaved forest was the smallest.

Key words: Proba-V, random forest, forest vegetation mapping and classification, spatial and temporal distribution, Lushan