Forestry volume estimation based on ZY-3 remote sensing image

doi:10.14088/j.cnki.issn0439-8114.2019.12.017

HUBEI AGRICULTURAL SCIENCES ›› 2019, Vol. 58 ›› Issue (12): 74-78.doi: 10.14088/j.cnki.issn0439-8114.2019.12.017

• Resource & Environment • Previous Articles Next Articles

Forestry volume estimation based on ZY-3 remote sensing image

ZHANG Xiang-yu, WANG Rui-rui

Beijing Key Laboratory of Precision Forestry,Beijing Forestry University,Beijing 100083,China

Received:2019-03-27 Online:2019-06-25 Published:2019-12-05

Abstract

Abstract: 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.

Key words: ZY-3 image, volume, estimation model, model accuracy

CLC Number:

ZHANG Xiang-yu, WANG Rui-rui. Forestry volume estimation based on ZY-3 remote sensing image[J]. HUBEI AGRICULTURAL SCIENCES, 2019, 58(12): 74-78.

References

[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] MÄKELÄ H,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.

Forestry volume estimation based on ZY-3 remote sensing image

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