MULTIFREQUENCY MICROWAVE VEGETATION INDEXES FOR ESTIMATING VEGETATION BIOMASS

被引：0
|
作者：
Santi, E. [1 ]
Paloscia, S. [1 ]
Pampaloni, P. [1 ]
机构：
[1] IFAC CNR, Florence, Italy
来源：
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年
关键词：
Microwave Polarization Indices; Vegetation biomass; Artificial Neural Networks; AMSR2; Cosmo-Skymed; SOIL-MOISTURE; ALGORITHM; GROWTH; IMAGES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The polarization capabilities in estimating vegetation biomass on both global and local scales by using passive and active microwave satellite data (AMSR-E/2, ENVISAT and COSMO-SkyMed) were investigated. Two algorithms that are based on Artificial Neural Networks (ANN) and are able to ingest data from different frequency channels have been implemented. The algorithm validation, carried out on the available experimental data, confirmed that the two polarizations and related indices can be legitimately used to produce vegetation maps on a global and local scale by separating at least 3-4 levels of biomass, without any need of further information from other sensors.
引用
收藏
页码：5186 / 5189
页数：4
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