资源简介

摘要： 森林地上生物量（AGB）是评价森林生态系统功能的重要参数，遥感是获取区域尺度AGB的有效手段。以内蒙古根河市为研究区，利用TM遥感影数据和33个森林样地调查数据，基于四尺度几何光学模型的森林AGB遥感估算方法，首先，基于样地观测数据建立树冠面积（SA）估算AGB的方程；再利用四尺度几何光学模型建立由冠层反射率反演SA的查找表，由TM影像反演SA，进而估算AGB。在全部33个样地，估算的AGB与观测数据的一致性（RMSE=20.8 t·hm-2，R2=0.45）明显优于基于差值植被指数（DVI）（RMSE=27.7 t·hm-2,R2=0.09）和混合像元分解（SMA）（RMSE=27.6t·hm-2  R2=0.02）方法建立的统计模型的估算结果。利用19个针叶林样地的观测数据验证表明，估算的AGB的RMSE和R2分别为20.8 t·hm-2和0.53，利用DVI估算的AGB的RMSE和R2分别为31.5 t·hm-2和0.18，利用SMA方法估算的AGB的RMSE和R2分别为31.8 t·hm-2和0.14；对于14个阔叶林样地，估算的AGB的RMSE和R2分别为20.9 t·hm-2和0.47，利用DVI估算的AGB的RMSE和R2分别为21.4 t·hm-2和0.01，利用SMA方法估算的AGB RMSE和R2分别为20.6 t·hm-2和0.11。结果表明：通过反演与AGB紧密联系的SA，进行AGB的遥感估算是一种有效可行的技术方法。 关键词： Forest Aboveground Biomass；4\;  scale geometrical optical model；Special mixture analysis；Remote sensing inversion     Abstract: Forest Aboveground Biomass (AGB) is an important parameter for assessing the function of forest ecosystems.Remote sensing is an effective technique for retrieving AGB.A method for retrieving AGB from TM remote sensing data and field measurements taken at 33 plots in Genhe city，Inn Mongolia，China was developed.First，The empirical equations estimating AGB from canopy Surface Area (SA) was fitted using field measured data.Then，a look up table for the inversion of SA from canopy reflectance was set up through forward simulations of the 4\|scale geometrical optical model.SA determined from TM remote sensing data and the constructed look up table was used to estimate AGB.At all 33 plots，AGB estimated using the newly developed method was in good agreement with measured data，with RMSE=20.8 t·hm-2and R2=0.45，much better than the estimation using Difference Vegetation Index (DVI) (RMSE=27.7 t·hm-2，R2=0.09) and special mixture analysis (SMA) (RMSE=27.6 t·hm-2，R2=0.02) method.Validation at 19 conifer plots indicated that the RMSE and R2 of AGB estimated using the method developed in this study were 20.8 t·hm-2 and 0.53，respectively.The corresponding values were 31.5 t·hm-2 and 0.18 for the DVI-based model and were 31.8 t·hm-2 and 0.14 for the SMA-based model.As to 14 broad-leaved plots，the RMSE and R2 of AGB estimated using the method developed here were 20.9 t·hm--2 and 0.47.The corresponding values were 21.4 t·hm-2 and 0.01for the DVI-based model and were 20.6 t·hm-2 and 0.11 for the SMA-based model.The method which estimates AGB on the basis of SA inverted from optical remote sensing data was applicable for the retrieval of AGB.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.