基于资源三号卫星遥感影像的森林蓄积量估测
|
摘要
以宁波市北仑区新路林场作为研究区域,选用主成分回归法、偏最小二乘法和逐步回归法3种不同方法,基于资源三号卫星影像建立蓄积量反演模型,并对比不同估测模型的精度得出逐步回归模型为最优模型,相对精度为95.2%,满足林业调查的需要。
Three different methods, principal component regression method, partial least squares method and stepwise regression method are used to establish the volume inversion model based on the satellite image of ZY-3. The stepwise regression model is the optimal model by comparing the accuracy of different estimation models, and the relative accuracy is 95.2%,which meets the needs of forestry investigation.
Three different methods, principal component regression method, partial least squares method and stepwise regression method are used to establish the volume inversion model based on the satellite image of ZY-3. The stepwise regression model is the optimal model by comparing the accuracy of different estimation models, and the relative accuracy is 95.2%,which meets the needs of forestry investigation.
引文
[1]亢新刚.森林资源经营管理[M].北京:中国林业出版社,2001.
[2]王雪,卫发兴,崔志新.3S技术在林业中的应用[J].世界林业研究,2005(2):45-47.
[3]李延峰.东北典型区芦苇分布提取与地上生物量遥感估算[D].北京:中国科学院大学,2014.
[4]陈尔学,李增元,武红敢,等.基于k-NN和Landsat数据的小面积统计单元森林蓄积估测方法[J].林业科学研究,2008,21(6):745-750.
[5]刘琼阁,彭道黎,涂云燕.基于偏最小二乘回归的森林蓄积量遥感估测[J].中南林业科技大学学报,2014,34(2):81-84,132.
[6]包盈智,袁凯先,赵宪文,等.森林资源二类调查中蓄积量遥感估测方法的应用实例[J].林业科学研究,1996,9(3):234-238.
[7]李崇贵,赵宪文.森林郁闭度定量估测遥感比值波段的选择[J].林业科学,2005,41(4):72-77.
[8]杨燕琼,吴奕敏,黄平,等.基于RS、GIS的林分蓄积量估测[J].华南农业大学学报(自然科学版),2003,24(3):73-77.
[9]马瑞兰,李卫忠.基于SPOT5遥感影像选择森林蓄积估测因子——以火地塘教学实验林场为例[J].东北林业大学学报,2011,39(7):111-112,137.
[10] FAZAKAS Z,NILSSON M,OLSSON H. Regional forest biomass and wood volume estimation using satellite data and ancillary data[J].Agricultural and forest meteorlogy,1999(98-99):417-425.
[11] GEMMELL F M. Effects of forest cover,terrain, and scale on timber volume estimation with Thematic Mapper data in a Rocky Mountain site[J].Remote sensing of environment,1995,51(2):291-305.
[12] MAKELAH,PEKKARINEN A. Estimation of forest stand volumes by Landsat TM imagery and stand-level field-inventory data[J].Forest ecology and management,2004,196(2-3):245-255.
[13] POPESCU S C,ZHAO K G. A voxel-based lidar method for estimating crown base height fordeciduous and pine trees[J].Remote sensing of environment,2008,112(3):767-781.
[2]王雪,卫发兴,崔志新.3S技术在林业中的应用[J].世界林业研究,2005(2):45-47.
[3]李延峰.东北典型区芦苇分布提取与地上生物量遥感估算[D].北京:中国科学院大学,2014.
[4]陈尔学,李增元,武红敢,等.基于k-NN和Landsat数据的小面积统计单元森林蓄积估测方法[J].林业科学研究,2008,21(6):745-750.
[5]刘琼阁,彭道黎,涂云燕.基于偏最小二乘回归的森林蓄积量遥感估测[J].中南林业科技大学学报,2014,34(2):81-84,132.
[6]包盈智,袁凯先,赵宪文,等.森林资源二类调查中蓄积量遥感估测方法的应用实例[J].林业科学研究,1996,9(3):234-238.
[7]李崇贵,赵宪文.森林郁闭度定量估测遥感比值波段的选择[J].林业科学,2005,41(4):72-77.
[8]杨燕琼,吴奕敏,黄平,等.基于RS、GIS的林分蓄积量估测[J].华南农业大学学报(自然科学版),2003,24(3):73-77.
[9]马瑞兰,李卫忠.基于SPOT5遥感影像选择森林蓄积估测因子——以火地塘教学实验林场为例[J].东北林业大学学报,2011,39(7):111-112,137.
[10] FAZAKAS Z,NILSSON M,OLSSON H. Regional forest biomass and wood volume estimation using satellite data and ancillary data[J].Agricultural and forest meteorlogy,1999(98-99):417-425.
[11] GEMMELL F M. Effects of forest cover,terrain, and scale on timber volume estimation with Thematic Mapper data in a Rocky Mountain site[J].Remote sensing of environment,1995,51(2):291-305.
[12] MAKELAH,PEKKARINEN A. Estimation of forest stand volumes by Landsat TM imagery and stand-level field-inventory data[J].Forest ecology and management,2004,196(2-3):245-255.
[13] POPESCU S C,ZHAO K G. A voxel-based lidar method for estimating crown base height fordeciduous and pine trees[J].Remote sensing of environment,2008,112(3):767-781.