林业科学2017，Vol.53Issue(3)：94-104,11.DOI:10.11707/j.1001-7488.20170311
机载高分辨率遥感影像的傅氏纹理因子估测温带森林地上生物量
Temperate Forest Aboveground Biomass Estimation Using Fourier-Based Textural Ordination (FOTO) Indices from High Resolution Aerial Optical Image
摘要
Abstract
[Objective] The periodical information of forest areas in the high spatial resolution remote sensing image contains the structural and spatial distribution of forest canopy grains.We used the Fourier-based textural ordination (FOTO) indices for estimating forest aboveground biomass (AGB).This research explored FOTO textural indices as a potential technique to estimate forest AGB of temperate forest.[Method] The study area is located in the Liangshui Natural Reserve (47°11'N,128°53'E),northeast of China.Based on the high spatial resolution airborne CCD data (0.5 m spatial resolution) acquired in September 2009,we derived the FOTO indices from CCD data and established the AGB regression model with multiple stepwise regression.The airborne LiDAR-derived AGB map was used as reference value.We compared the model performances of FOTO indices derived from three spectral reflection bands of CCD data with those from the average spectral reflection band of the CCD data.The window sizes for FOTO method were set as 60 m × 60 m,80 m ×80 m,100 m × 100 m,120 m × 120 m and 150 m × 150 m.Then the FOTO indices derived from different size windows were used as independent variables to build regression model with LiDAR-derived biomass.Ten-fold validation was performed to verify the generalization capability of the estimation model.[Result] The results showed that texture indices derived from FOTO method had a high correlation with forest AGB.The determination coefficient R2 between the FOTO indices (9 FOTO indices from three spectral reflection bands) and LiDAR derived AGB were all above 0.67 for five windows sizes.The estimation accuracies were 67.3％,73.4％,74.4％,78.3％ and 80.9％ for window size 60 m ×60 m,80 m ×80 m,l00 m × 100 m,120 m × 120 m and 150 m × 150 m,respectively.The determination coefficient R2 between the FOTO indices (3 FOTO indices from the average band) and LiDAR derived AGB were all above 0.57 for five windows sizes.The estimation accuracies were 58.2％,62.1％,64.3％,67.4％ and 70.9％ for five windows sizes,respectively.We produced a wall-to-wall forest AGB map with the accuracy of 74.41％ and the RMSE of 50.55 t·hm-2 [Conclusion] This study results indicated that texture indices derived from FOTO method have great potential in estimating forest AGB without significant saturation phenomenon in temperate forests.FOTO indices have great potential for estimating AGB of temperate forests.The forest biomass derived from FOTO indices with the multiple stepwise regression showed a good relationship with the LiDAR-derived AGB,with R2 =0.81,RMSE =46.78 t·hm-2.关键词
温带森林/高分辨率遥感影像/森林地上生物量/FOTO算法/纹理因子Key words
temperate forest/high spatial resolution data/forest AGB/FOTO/texture indices分类
农业科技引用本文复制引用
庞勇,蒙诗栎,李增元..机载高分辨率遥感影像的傅氏纹理因子估测温带森林地上生物量[J].林业科学,2017,53(3):94-104,11.基金项目
中国林业科学研究院中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2016ZD004) （CAFYBB2016ZD004）
国家高技术研究发展计划(863计划)(2012AA12A306). （863计划）
