Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation s
- PDF / 3,702,688 Bytes
- 16 Pages / 595.276 x 790.866 pts Page_size
- 96 Downloads / 163 Views
RESEARCH PAPER
Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation stand age in Southeast China Jiaojiao Diao 1 & Tuo Feng 1 & Mingshi Li 1,2 & Zhiliang Zhu 3 & Jinxun Liu 4 & Gregory Biging 5 & Guang Zheng 6 & Wenjuan Shen 1 & Heng Wang 1 & Jingrui Wang 1 & Biyong Ji 7 Received: 7 June 2019 / Accepted: 20 January 2020 # INRAE and Springer-Verlag France SAS, part of Springer Nature 2020
Abstract & Key message By integrating vegetation change tracker (VCT), spatial analysis (SA), and random forest regression (RF), the spectral-temporal patterns of forest stand age were mapped for three typical plantations in Southern China. The spectral-temporal distribution of age structure indicated that the plantation stands in the study area were increasingly aging. & Context Plantations play a major role in China for ecosystem restoration and carbon sequestration. Mapping plantation stand age distributions is essential for developing sustainable plantation forest management plans. & Aims The purpose of this study was to propose two new remote sensing based models for mapping plantation ages and to test the model feasibility and accuracy in determining the spectral-temporal patterns of forest ages. & Methods We first integrated vegetation change tracker (VCT) algorithm and spatial analysis (VCT-SA) for the pixels that were disturbed at least once from 1987 to 2017, and integrated VCT and random forest (VCT-RF) for the pixels were not disturbed during the study period. Then the forest age of these two parts were merged separately to generate annual forest age. & Results The spectral-temporal (30-m resolution, from 1987 to 2017) of forest age for the three typical plantations in Lishui were generated. The results indicated that the plantation stands in our large study area were increasingly aging. & Conclusion Our results revealed that it is reasonable to derive the distribution of plantation stand ages from combined remote sensing models. Besides, we confirmed that the stand ages of the plantations in our large study area of Lishui City are on the rise as the result of forest protection policies. Keywords Chinese fir . Landsat time series . Oak . Pine . Plantation disturbance . Plantation stand age
Handling Editor: John Lhotka Contributions of the co-authors J.D., M.L., and Z.Z. designed the conceptualization and method of this study; J.D., H.W., J.W., B.J., and W.S. collected the field data and images; J.D. and T.F. completed the calculation and analysis and wrote the original draft; Z.Z., J.L., G.Z., and G.B. provided supervision and revised the manuscript. * Mingshi Li [email protected]
4
U.S. Geological Survey, Menlo Park, CA, USA
5
Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA, USA
1
College of Forestry, Nanjing Forestry University, Nanjing, China
6
2
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
International Institute
Data Loading...
