Development of forest information measurement algorithms toward CO2 reduction by high-resolution polarimetric and interferometric synthetic aperture radars

通过高分辨率偏振和干涉合成孔径雷达开发森林信息测量算法以减少二氧化碳排放

• 批准号: 22560436
• 负责人: OUCHI Kazuo
• 金额: $ 2.75万
• 依托单位: 防衛大学校
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2010
• 资助国家: 日本
• 起止时间: 2010 至 2012
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22560436/
• 关键词: 計測システム; 森林情報; 合成開口レーダ; 統計解析; 2酸化炭素削減; 二酸化炭素削減

Under the background that consistent and global information is required on the forests as being a source of CO2 absorption, algorithms were developed to extract areas of forest damage by fusing data acquired by airborne synthetic aperture radar (SAR) and spaceborne high-resolution optical sensor, and polarimetric and interferometric SAR over the test site of Tomakomai national forests in Hokkaido. Further, a new robust algorithm based on the second intensity moment of radar images was developed to measure forest biomass with accuracy higher than the conventional methods.

在需要关于森林作为CO2吸收源的一致和全球信息的背景下，开发了算法，通过融合机载合成孔径雷达（SAR）和星载高分辨率光学传感器获得的数据，以及极化和干涉SAR在北海道的Tomakomai国家森林试验场上获得的数据，提取森林损害面积。在此基础上，提出了一种基于雷达图像强度二阶矩的森林生物量测量新算法，该算法具有较高的测量精度。

项目成果

Classification of typhoon-destroyed forests based on tree height change detection using InSAR technology

• DOI: 10.1109/igarss.2011.6049425
• 发表时间: 2011-07
• 期刊: 2011 IEEE International Geoscience and Remote Sensing Symposium
• 作者: Haipeng Wang;K. Ouchi;Yaqiu Jin

Estimation of coniferous tree biomass from high-resolution airborne synthetic aperture radar based on the second moment of cross-polarization image intens

基于交叉偏振像强度二阶矩的高分辨率机载合成孔径雷达针叶树生物量估算

• 发表时间: 2010
• 期刊: IEICE Technical Report
• 作者: Haipeng Wang;Kazuo Ouchi
• 通讯作者: Kazuo Ouchi

A study on detection of forest damage by SAR and optical data

SAR和光学数据检测森林损害的研究

• 发表时间: 2012
• 期刊: 電子情報通信学会技報
• 作者: D. Nose;K. Ouchi
• 通讯作者: K. Ouchi

Assessment of typhoon-damaged forest by multi-temporal and multi-frequency PolSAR and InSAR datasets

多时相多频PolSAR和InSAR数据集对台风受损森林的评估

• 发表时间: 2011
• 作者: 金子 修;和田垣 祐介,山本 茂;能勢大輔;大内和夫;大内和夫
• 通讯作者: 大内和夫

Extraction of typhoon-damaged forests from multi-temporal high-resolution polarimetric SAR images

• DOI: 10.1109/igarss.2010.5653785
• 发表时间: 2010-07
• 期刊: 2010 IEEE International Geoscience and Remote Sensing Symposium
• 作者: Haipeng Wang;K. Ouchi;Yaqiu Jin