CAJ | 학술논문

为了解决常规卫星遥感叶面积指数真实性检验方法存在的破坏样地植被、操作复杂、耗时费力，且难以用于对应大范围的植被采样等问题，该文以安徽省来安县为研究区，利用实测水稻冠层光谱结合 GF1-WFV 传感器进行光谱重采样并计算水稻 NDVI，基于此进行 LAI 反演建模，通过光谱计算的 LAI 反演结果对 GF-1星多光谱遥感水稻 LAI 的反演结果进行真实性检验，并结合野外 LAI 观测数据证明了该方法的有效性和可行性。研究表明，该方法操作简单，准确度高，大大减少了野外试验的工作量，为快速、准确获取大量真实性检验数据及定量化应用提供了有效的途径。
위료해결상규위성요감협면적지수진실성검험방법존재적파배양지식피、조작복잡、모시비력，차난이용우대응대범위적식피채양등문제，해문이안휘성래안현위연구구，이용실측수도관층광보결합 GF1-WFV 전감기진행광보중채양병계산수도 NDVI，기우차진행 LAI 반연건모，통과광보계산적 LAI 반연결과대 GF-1성다광보요감수도 LAI 적반연결과진행진실성검험，병결합야외 LAI 관측수거증명료해방법적유효성화가행성。연구표명，해방법조작간단，준학도고，대대감소료야외시험적공작량，위쾌속、준학획취대량진실성검험수거급정양화응용제공료유효적도경。
Validation of satellite remote sensing leaf area index (LAI)products is the important technical link of quantitative applications of vegetation LAI inversion on satellite remote sensing.Conventional validation methods are mostly based on vegetation leaf collection from field,or through direct measurement by instruments.It not only causes damage to vegetation samples,and operation is complex,time-consuming.It is also difficult to use for the sample corresponding to a wide range of vegetation.To solve the above problems,this paper takes Lai'an in Anhui Province as the research area.Combined GF1-WFV sensor to resample the mea measured spectra of rice canopy for NDVI computing,based on this to conduct LAI inversion model. Then using the results of LAI inversion from spectra computing to validate the results of rice LAI inversion on GF-1 satellite multispectral remote sensing,and combined with field LAI data to demonstrate the effectiveness and feasibility of this method. Study shows that this method is simple,accurate,and it can greatly reduce the workload of the field experiments.It also provides an effective way for quickly and accurately getting a lot of validation data and quantitative applications.