全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2016 

HJ-1B CCD2与SPOT4 HRVIR数据在森林地上生物量反演中的比较分析
Comparative Analysis of HJ-1B CCD2 and SPOT4 HRVIR Data for Aboveground Biomass Estimation in Forest Stands

DOI: 10.13203/j.whugis20140594

Keywords: HJ-1B CCD2,SPOT4 HRVIR,植被指数,地上生物量,遥感反演,
HJ-1B CCD2
,SPOT4-HRVIR,vegetation index,aboveground biomass,retrieval

Full-Text   Cite this paper   Add to My Lib

Abstract:

以贡嘎山地区为研究区,选取HJ-1B CCD2和SPOT4 HRVIR为数据源,结合地面同步实测数据,分别采用植被指数法和主成分分析法对森林地上生物量进行估算,并基于交叉验证的方法对比分析了两种传感器估算贡嘎山森林地上生物量的效果:针对单一植被指数,基于比值植被指数构建的生物量反演模型明显优于其他植被指数,且HJ-1B CCD2的表现好于SPOT4 HRVIR;在联合多种植被指数建立的生物量反演模型方面,两种数据源的估算能力基本相当,交叉验证的相关系数分别为0.545 8和0.563 4,均方根误差分别为27.811 4 t·ha和27.169 6 t·ha;主成分分析法则为HJ-1B CCD2传感器的表现优于SPOT4 HRVIR

References

[1]  Li Xianfeng, Ju Weimin, Chen Shu, et al. Influence ofLand Cover Data on Regional Forest Leaf Area Index Inversion[J]. Journal of Remote Sensing, 2010, 14(5):982-989(李显风, 居为民, 陈姝,等.地表覆盖分类数据对区域森林叶面积指数反演的影响[J]. 遥感学报, 2010, 14(5):982-989)
[2]  Yang Fei, Wang Juanle, Chen Pengfei, et al. Comparison of HJ-1A CCD and TM Data and for Estimating Grass LAI and Fresh Biomass[J]. Journal of Remote Sensing, 2012, 16(5):1012-1023(杨飞, 王卷乐, 陈鹏飞, 等. HJ-1A CCD与TM数据及其估算草地LAI和鲜生物量效果比较分析[J]. 遥感学报, 2012, 16(5):1012-1023)
[3]  Cheng Genwei, Wang Genxu. The Site-Specific Observation and Research Datasets of Chinese Ecosystem-Volume of Forest Ecosystem (Mt. Gongga Station in Sichuan Province)[M]. Beijing:China Agriculture Press, 2010(程根伟, 王根绪. 中国生态系统定位观测与研究数据集:森林生态系统卷(四川贡嘎山站)[M]. 北京:中国农业出版社, 2010)
[4]  Zhou Peng, Zhu Wanze, Luo Ji, et al. Aboveground Biomass and Carbon Storage of Typical Forest Types in Gongga Mountain[J]. Acta Botanica Boreali-Occidentalia Sinica, 2013, 33(1):162-168(周鹏, 朱万泽, 罗辑, 等. 贡嘎山典型植被地上生物量与碳储量研究[J]. 西北植物学报, 2013, 33(1):162-168)
[5]  Luo Tianxiang, Li Wenhua, Luo Ji, et al. A Comparative Study on Biological Production of Major Vegetation Types on the Tibetan Plateau[J]. Acta Ecologica Sinica, 1999, 19(6):823-831(罗天祥, 李文华, 罗辑, 等. 青藏高原主要植被类型生物生产量的比较研究[J]. 生态学报, 1999, 19(6):823-831)
[6]  Xu X J, Du H Q, Zhou G M, et al. Estimation of Aboveground Carbon Stock of Moso Bamboo (Phyllostachys Heterocycla var Pubescens) Forest with a Landsat Thematic Mapper Image[J]. International Journal of Remote Sensing, 2011, 32(5):1431-1448
[7]  Liu Rui, Sun Jiulin, Wang Juanle, et al. Data Quality Evaluation of Chinese HJ CCD Sensor[J]. Advances in Earth Science, 2011, 26(9):971-979(刘睿, 孙九林, 王卷乐, 等. 环境与灾害监测预报小卫星CCD数据质量评价[J]. 地球科学进展, 2011, 26(9):971-979)
[8]  Zheng Guang, Tian Qingjiu, Chen Jingming, et al. Combining Remote Sensing Imagery and Forest Age Inventory for Biomass Mapping[J]. Journal of Remote Sensing, 2006, 10(6):932-940(郑光, 田庆久, 陈镜明, 等. 结合树龄信息的遥感森林生态系统生物量制图[J]. 遥感学报, 2006, 10(6):932-940)
[9]  Li Mingze, Mao Xuegang, Fan Wenyi. Forest Biomass Estimation Using Remote Sensing Based on Canopy Density Simultaneous Equations Model[J]. Scientia Silvae Sinicae, 2014, 50(2):85-91(李明泽, 毛学刚, 范文义. 基于郁闭度联立方程组模型的森林生物量遥感估测[J]. 林业科学, 2014, 50(2):85-91)
[10]  Matsushita B, Yang W, Chen J,et al. Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects:A Case Study in High-Density Cypress Forest[J]. Sensors, 2007, 7(11):2636-2651
[11]  Li Deren, Wang Changwei, Hu Yueming, et al. General Review on Remote Sensing-based Biomass Estimation[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6):631-635(李德仁, 王长委, 胡月明, 等. 遥感技术估算森林生物量的研究进展[J]. 武汉大学学报·信息科学版, 2012, 37(6):631-635)
[12]  Song C. Optical Remote Sensing of Forest Leaf Area Index and Biomass[J]. Progress in Physical Geography, 2013, 37(1):98-113
[13]  Pu Ruiliang, Gong Peng. Hyperspectral Remote Senisng and Its Applications[M]. Beijing:Higher Education Press, 2000(浦瑞良, 宫鹏. 高光谱遥感及其应用[M]. 北京:高等教育出版社, 2000)
[14]  Yang Fei, Zhang Bai, Song Kaishan, et al. Comparison of Methods for Estimating Soybean Leaf Area Index[J]. Spectroscopy and Spectral Analysis, 2008, 28(12):2951-2955(杨飞, 张柏, 宋开山, 等. 大豆叶面积指数的高光谱估算方法比较[J]. 光谱学与光谱分析, 2008, 28(12):2951-2955)
[15]  Liu Xingliang, Liu Shirong, Su Yiming, et al. Aboveground Biomass of Quercus Aquifolioides Shrub Community and Its Responses to Altitudinal Gradients in Balangshan Mountain, Sichuan Province[J]. Scientia Silvae Sinicae, 2006, 42(2):1-7(刘兴良, 刘世荣, 宿以明, 等. 巴郎山川滇高山栎灌丛地上生物量及其对海拔梯度的响应[J]. 林业科学, 2006, 42(2):1-7)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133