Numerical Simulation of Remote Sensing Scale Effect:A Case Study for Leaf Area Index

doi:10.13474/j.cnki.11-2246.2018.0255

Abstract

Abstract: The existence of scale effect has seriously limited the development of quantitative remote sensing applications,which restricts the improvement of quantitative remote sensing inversion and becomes one of the hot issues to be solved urgently.In general,there are many theories to analyze the scale effect of the Taylor series from mathematics,but less from the visual simulation of remote sensing data.In this paper,we use the airborne WIDAS data from the leaf area index (LAI),and introduce the Lorentz curve to express the heterogeneity of the surface variables (i.e.,Normalized Difference Vegetation Index (NDVI)).Based on the LAI inversion model with different nonlinear degree and the scaling up aggregation method,the cause of scale effect is analyzed.It is found that the scale effect is the comprehensive representation of spatial heterogeneity and inversion function nonlinearity,and the increase of spatial heterogeneity and the nonlinear degree of inversion function will lead to the increase of scale effect.

Key words: remote sensing, scale effects, leaf area index, up scaling, aggregation

CLC Number:

P237

OU Shenghua, SHAO Shanshan, YANG Tao, YI Chuanxiang. Numerical Simulation of Remote Sensing Scale Effect:A Case Study for Leaf Area Index[J]. 测绘通报, 2018, 0(8): 106-110.

References

[1] 李小军,辛晓洲,江涛,等.卫星遥感地表温度降尺度的光谱归一化指数法[J].测绘学报,2017,46(3):353-361.
[2] 郭云开,曹小燕,谢琼,等.一种基于NSCT和方向信息测度的GF1影像融合方法[J].测绘通报,2016(12):28-32.
[3] ALBERS B J,STRAHLER A H,LI X W,et al.Radiometric Measurements of Gap Probability in Conifer Tree Canopies[J].Remote Sensing of Environment,1990,34(3):179-192.
[4] LI X W,WAN Z M.Comments on Reciprocity in the BRDF Modeling[J].Progress in Natural Science,1999,8(3):354-358.
[5] 李小文,王锦地.非同温黑体表面上Planck定律的尺度效应[J].中国科学(技术科学),1999,29(5):422-426.
[6] ZHANG R H,LI Z L,TANG X Z,et al.Study of Emissivity Scaling and Relativity of Homogeneity of Surface Temperature[J].International Journal of Remote Sensing,2004,25(1):245-259.
[7] 李小文.地球表面时空多变要素的定量遥感项目综述[J].地球科学进展,2006,21(8):771-780.
[8] 徐冠华.论热红外遥感中的基础研究[J].中国科学(技术科学),2000,30(8):1-5.
[9] 柳钦火,曹彪,曾也鲁,等.植被遥感辐射传输建模中的异质性研究进展[J].遥感学报,2016,20(5):933-945.
[10] 刘强,肖青,刘志刚,等.黑河综合遥感联合试验中机载WiDAS数据的预处理方法[J].遥感技术与应用,2010,25(6):797-804.
[11] LI X J,XIN X Z,JIAO J J,et al.Estimating Subpixel Surface Heat Fluxes through Applying Temperature-sharpening Methods to MODIS Data[J].Remote Sensing,2017,9(8):836.
[12] 扈传荣,姜栋,唐旭,等.基于洛伦兹曲线的全国城市土地利用现状抽样分析[J].中国土地科学,2009,23(12):44-50.
[13] 周倜,彭志晴,辛晓洲,等.非均匀地表蒸散遥感研究综述[J].遥感学报,2016,20(2):257-277.
[14] 张仁华,孙晓敏,苏红波,等.遥感及其地球表面时空多变要素的区域尺度转换[J].国土资源遥感,1999,41(3):51-58.
[15] 陈健,倪绍祥,李静静,等.植被叶面积指数遥感反演的尺度效应及空间变异性[J].生态学报,2006,26(5):1502-1508.
[16] RAFFY M.Change of Scale in Models of Remote Sensing:A General Method for Spatialization of Models[J].Remote Sensing of Environment,1992,40(2):101-112.
[17] CHEN J M.Spatial Scaling of a Remotely Sensed Surface Parameter by Contexture[J].Remote Sensing of Environment,1999,69(1):30-42.