PMID- 30039679 OWN - NLM STAT- MEDLINE DCOM- 20181015 LR - 20191210 IS - 1001-9332 (Print) IS - 1001-9332 (Linking) VI - 29 IP - 7 DP - 2018 Jul TI - [Retrieval of leaf area index of Phyllostachys praecox forest based on MODIS reflectance time series data.]. PG - 2391-2400 LID - 10.13287/j.1001-9332.201807.011 [doi] AB - Based on the MODIS surface reflectance data, five vegetation indices, including norma-lized difference vegetation index (NDVI), simple ratio index (SR), Gitelson green index (GI), enhanced vegetation index (EVI) and soil adjusted vegetation index (SAVI) were constructed as remote sensing variables, coupled with the seven original spectral reflectance bands of MODIS. Stepwise regression and correlation analysis were used to select the variables, and the stepwise regression and Back Propagation (BP) neural network models were constructed based on the measured LAI to retrieve the LAI time series data of Phyllostachys praecox (Lei bamboo) forest during the period from January 2014 to March 2017. The retrieval results were compared with MOD15A2 LAI products during the same period. The results showed that SR was the single variable selected for the stepwise regression model. The correlations of LAI with bands b(1), b(2), b(3), b(7) and five vegetation indices were significant, which could be used as input variables of BP neural network model. There was a significant correlation between the LAI estimated from BP neural network and measured LAI, with the R(2) of 0.71, RMSE of 0.34, and RMSE(r) of 13.6%. R(2) was increased by 10.9%, RMSE decreased by 5.6%, and RMSE(r) decreased by 12.3% compared with LAI estimated from stepwise regression method. R(2) was increased by 54.5%, RMSE decreased by 79.3%, and RMSE(r) decreased by 79.1% compared with MODIS LAI. The LAI of Lei bamboo forest could be accurately retrieved using BP neural network method based on MODIS reflectance time series data, which would be a feasible method for rapid monitoring of LAI in Lei bamboo forest. FAU - Zhu, Di En AU - Zhu DE AD - State Key Laboratory of Subtropical Silviculture/Zhejiang Province Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration/School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China. FAU - Xu, Xiao Jun AU - Xu XJ AD - State Key Laboratory of Subtropical Silviculture/Zhejiang Province Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration/School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China. FAU - DU, Hua Qiang AU - DU HQ AD - State Key Laboratory of Subtropical Silviculture/Zhejiang Province Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration/School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China. FAU - Zhou, Guo Mo AU - Zhou GM AD - State Key Laboratory of Subtropical Silviculture/Zhejiang Province Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration/School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China. FAU - Mao, Fang Jie AU - Mao FJ AD - State Key Laboratory of Subtropical Silviculture/Zhejiang Province Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration/School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China. FAU - Li, Xue Jian AU - Li XJ AD - State Key Laboratory of Subtropical Silviculture/Zhejiang Province Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration/School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China. FAU - Li, Yang Guang AU - Li YG AD - State Key Laboratory of Subtropical Silviculture/Zhejiang Province Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration/School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China. LA - chi PT - Journal Article TT - 基于MODIS时间序列反射率数据的雷竹林LAI反演. PL - China TA - Ying Yong Sheng Tai Xue Bao JT - Ying yong sheng tai xue bao = The journal of applied ecology JID - 9425159 SB - IM MH - Forests MH - Neural Networks, Computer MH - *Plant Leaves MH - Poaceae/*physiology MH - Remote Sensing Technology OTO - NOTNLM OT - Back Propagation neural network OT - MODIS reflectance OT - bamboo forest OT - leaf area index OT - vegetation index EDAT- 2018/07/25 06:00 MHDA- 2018/10/16 06:00 CRDT- 2018/07/25 06:00 PHST- 2018/07/25 06:00 [entrez] PHST- 2018/07/25 06:00 [pubmed] PHST- 2018/10/16 06:00 [medline] AID - 10.13287/j.1001-9332.201807.011 [doi] PST - ppublish SO - Ying Yong Sheng Tai Xue Bao. 2018 Jul;29(7):2391-2400. doi: 10.13287/j.1001-9332.201807.011.