The Analysis of Field Data Measured in Grassland for Biomass Monitoring Using Satellite Data

The Analysis of Field Data Measured in Grassland for Biomass Monitoring Using Satellite Data
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利用卫星数据进行生物量监测的草原实测数据分析

DOI:
10.4287/jsprs.36.4_38
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发表时间:
1997
期刊:
Journal of The Japan Society of Photogrammetry and Remote Sensing
影响因子:
--
通讯作者:
M. Matsuoka
M. Matsuoka
中科院分区:
--
文献类型:
--
作者:
Hirokazu Yamamoto;Y. Honda;K. Kajiwara;C. Okano;Shaobo Huang;M. Matsuoka

文献摘要

被引文献

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遥感数据是全球和时间观测植被最有用的工具。需要利用光谱信息和现场测量的生物量数据建立间接模型,根据卫星数据定量估算植被数量。需要发展满足卫星数据同时性和空间尺度条件的外业数据处理方法。本研究的目的是使用我们开发的移动观测获得的现场数据来开发和验证程序,以便使用卫星数据测量全球草地植被数量。进行的研究区域是蒙古草原,非常平坦且均质。通过使用移动观测系统,我们可以同时获得大量的视频图像和光谱反射率。我们通过应用我们提出的用于估计植被覆盖率和 4 个植被指数(NDVI、SAVI(0.5)、MSAVI、APVI)之间关系的 RGB 模式方法,分析了约 300 个光谱信息、约 300 个视频图像和约 10 个生物量数据。我们考虑 NOAA AVHRR 传感器 Ch. 来计算这些植被指数。 1 和 Ch. 2.最后,我们验证了植被覆盖率与植被指数之间的关系,这是通过线性回归分析估计的。结果摘要如下所示1。我们可以获得卫星尺度的大量现场数据。 2.我们开发了从许多视频图像中自动计算 VCR 的方法。
Remotely sensed data is the most useful tool for observing vegetation globally and temporally. It is needed to estimate vegetation amount quantitatively from satellite data by building the indirect model using spectral information and biomass data measured in the field. It is necessary to develop the method to process the field data which is satisfied with condition of the simultaneity and spatial scale for satellite data. The aim of this study is to develop and verify the procedure using field data obtained by moving observation we developed in order to measure the quantitative vegetation amount globally in grassland using satellite data. The conducted study area is Mongolian grassland which is very flat and homogeneous. By using moving observation system, we could obtain so many video images and spectral reflectance at the same time. We analyzed about 300 spectral information, about 300 video images and about 10 biomass data by applying RGB Pattern method we proposed for estimating relationship between vegetation coverage ratio and 4 vegetation indices (NDVI, SAVI (0.5), MSAVI, APVI) . We calculated these vegetation indices considering NOAA AVHRR sensor Ch. 1 and Ch. 2. Finally, we verified relationship between vegetation coverage ratio and vegetation indices, which is estimated by linear regression analysis. The summary of results is shown below1. we could obtain many field data at the satellite scale.2. we developed the method which calculate VCR automatically from many video images together.