Study on the correction for long-term polar orbit satellites optical senor and improved vegetation product over globe

长期极轨卫星光学传感器校正及全球植被产品改良研究

• 批准号: 22510003
• 负责人: HIGUCHI Atsushi
• 金额: $ 2.5万
• 依托单位: Chiba University
• 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-22510003/
• 关键词: NOAA/AVHRR; データ補正; 長期データセット; 補正; 環境計測; リモートセンシング; 衛星データ補正

For the better understanding of vegetation responses on climate change, vegetation-related products derived from satellites observation have a curial role. Since 2000's, MODIS can cover to produce global products, however only NOAA/AVHRR could cover before 2000. It is well known that NOAA platform delay its orbit due to the priority for long-term operation. This study focused on the reproduce improved long-term vegetation product with isolated calibrations for orbit delay and sensor itself. To achieve them, we used daily-based product (Daily-PAL) and NOAA/AVHRR data around Japan, and L1B AVHRR data. From revisiting calibration for Daily-PAL, time series ofre-calibration NDVI is reasonable to compare other product. For the absolute calibration test for AVHRR around Japan, calibration targets of sea surface, water and ice clouds can get from time series, then also can get reasonable results. However, to expand globe, raw data has problems in accuracy of automatic geometric calibration based on header information, thus I still remain considerable issues in the point of view of quality control.

为了更好地了解植被对气候变化的响应，卫星观测所得的植被相关产品具有重要作用。从2000年开始，MODIS就可以覆盖生产全球产品，但2000年之前只有NOAA/AVHRR可以覆盖。众所周知，NOAA平台由于优先考虑长期运行而延迟了入轨。这项研究的重点是通过轨道延迟和传感器本身的独立校准来再现改进的长期植被产品。为了实现这些目标，我们使用了日本各地的每日产品 (Daily-PAL) 和 NOAA/AVHRR 数据以及 L1B AVHRR 数据。从Daily-PAL的重新标定来看，重新标定NDVI的时间序列与其他产品相比是合理的。对于日本各地AVHRR的绝对定标试验，可以从时间序列中得到海面、水和冰云的定标目标，从而得到合理的结果。然而，为了扩大全球范围，原始数据在基于头信息的自动几何校准的准确性方面存在问题，因此从质量控制的角度来看，我仍然存在相当大的问题。