複数の衛星データと地理情報の総合化による広域フラックス推定方法に関する研究

多卫星数据与地理信息融合的广域通量估算方法研究

• 批准号: 08241211
• 负责人: 近藤 昭彦
• 金额: $ 1.09万
• 依托单位: Chiba University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research on Priority Areas
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 无数据
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-08241211/
• 关键词: リモートセンシング; 地理情報システム; フラックス

衛星データを用いて広域のフラックスを求める方法としては以下の3つが考えられる。(1)熱収支式の各項に衛星計測を用いた短期の蒸発量推定法(2)地上観測値と衛星データの組合せによる経験的な蒸発量推定法(3)地上観測値と衛星データによる指標値との経験的な関係に基づく蒸発量推定法現在の衛星の運用状況では近日中に(1)の手法の制度を上げることは困難であるので、本研究では(2)および(3)の方法を重視する。今年度は可視・赤外のリモートセンシングを重視し、地表面の乾燥状況を把握する手法および植生指標と蒸発散量の関係の2点について検討を行った。得られた結果は下記の通りである。(1)輝度温度と植生指標の画像データを用いて地表面を乾湿を推定する手法を中国、淮河流域に適用し、良好な結果を得た。この手法の適用範囲、物理性を確認すると共にアジアの他の地域で試用することが次の課題である。グローバルデータセット(ここではGVI)による植生指標の年間積算値は水不足の生じていない場合、年蒸発散量の指標となることを示した。NOAA/AVHRRのGACやLACのア-カイブデータの利用により計算の精度を上げること、乾燥・半乾燥地域における蒸発抑制効果を手法に取り入れること、これらの情報から地点情報を広域情報に拡張する手法を発見することが次年度の課題である。(3)高分解能画像データの時系列データ(本研究ではTM)から牧草の成育期間における日蒸発散量を高精度で求めることができることを示した。次年度は他の植生の反射輝度の季節変化を求め、蒸発散量との整合性を確認する。また、配付が始まるADEOS/AVNIR(16m分解能)の利用を予定している。

The satellite data is used in the middle of the field and the method is used in the following three ways. (1)The short-term evapotranspiration estimation method for satellite measurement in various thermal support equations (2) The evapotranspiration estimation method for satellite measurement in combination with ground measurement (3) The relationship between ground measurement and satellite measurement (3) The evapotranspiration estimation method for satellite measurement in combination with ground measurement (3) The satellite measurement in combination with satellite measurement (3) The satellite measurement in combination with satellite measurement (3) The satellite measurement in combination with ground measurement (3) The satellite measurement in combination with satellite measurement (3) The satellite measurement in combination with satellite measurement (4) The satellite measurement in combination with ground measurement (3) The satellite measurement in combination with satellite measurement (3) The satellite measurement in combination with satellite measurement (4) The satellite measurement in combination with ground measurement (3) The satellite measurement in combination with satellite measurement (4) The satellite measurement in combination with satellite measurement (4) The satellite measurement in combination with ground measurement (4) The satellite measurement (5) The satellite measurement in combination with satellite measurement (4) The satellite measurement (5) The satellite measurement in combination with ground measurement (4) The satellite measurement with satellite measurement (5) The satellite measurement with satellite measurement (5) The This study focuses on (2) and (3) methods. This year, we pay attention to the relationship between visibility and soil moisture, and grasp the dry condition of the ground surface. We also discuss the relationship between vegetation index and evaporation. The result is that the next record is passed. (1)Luminance temperature and vegetation index are used to estimate the humidity of the earth surface. The method is suitable for China and Huaihe River Basin, and the results are good. The application scope and physical property of the method are confirmed. The annual cumulative value of the vegetation index is indicated in the case of insufficient water production and the annual evaporation index. NOAA/AVHRR's GAC and LAC's use of information to improve the accuracy of calculations, dry and semi-dry areas, evaporation suppression methods, access to information, location information, expansion methods, etc. (3)High resolution energy profile time series (in this study): growth period, daily evapotranspiration, high precision. The seasonal variation of reflection brightness of other vegetation and the conformity of evapotranspiration were determined in the next year. The utilization of ADEOS/AVNIR (16 m decomposition energy) was determined at the beginning of distribution.