A PROTOTYPE ANN BASED ALGORITHM FOR THE SOIL MOISTURE RETRIEVAL FROM L-BAND IN VIEW OF THE INCOMING SMAP MISSION

被引：0

作者：

Santi, E. ^{[1
]}

Paloscia, S. ^{[1
]}

Pettinato, S. ^{[1
]}

Fontanelli, G. ^{[1
]}

机构：

[1] Natl Res Council IFAC CNR, Inst Appl Phys, Florence, Italy

来源：

2014 13TH SPECIALIST MEETING ON MICROWAVE RADIOMETRY AND REMOTE SENSING OF THE ENVIRONMENT (MICRORAD) | 2014年

关键词：

SMAP; soil moisture; microwave; brightness temperature; backscattering coefficient; electromagnetic models; MICROWAVE; RADIOMETERS; RESOLUTION;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

An algorithm for retrieving soil moisture (SMC) from SMAP acquisitions is presented in this paper. The algorithm is based on Artificial Neural Network (ANN) techniques and takes advantage of the synergy between active and passive SMAP acquisitions. The training was carried out by using both electromagnetic forward models based on the Radiative Transfer Theory (RTT) and experimental data from SMEX02 campaign.

引用

页码：5 / 9

页数：5

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