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火星探査ローバーの着陸地予測の評価
M P Golombek1, R E Arvidson, J F Bell
1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA. mgolombek@jpl.nasa.gov
Nature
|July 8, 2005
まとめ
リモートセンシングデータは,火星探査ローバーの安全な火星着陸場所を正確に予測しました. しかし,軌道上の地表物質の地質学的解釈は,それほど確実ではありませんでした.
科学分野:
- 惑星科学は惑星科学である.
- リモートセンシング (リモートセンサー)
- 火星探査 火星探査
背景:
- 火星に安全な着陸場所を選択することは,ミッションの成功に不可欠です.
- 以前のミッションでは,場所の選択に限られたデータに頼っていた.
研究 の 目的:
- 火星着陸地の安全性と地表地質を予測する際のリモートセンシングデータの精度を評価する.
- 将来の火星着陸場所の選択のための遠隔感知の有効性を評価する.
主な方法:
- グセフクレーターとメリディアニ・プラヌムの遠隔感知データの分析.
- 予想された着陸場所の条件とローバーが遭遇した条件の比較.
主要な成果:
- リモートセンシングは,両方のローバーの着陸場所の大気密度,安全な表面,移動可能性を正確に予測しました.
- グセフクレーターは,低地形と塵に満ちていると正しく識別され,メリディアニ・プラヌムは,岩石が少ない暗い玄武岩平原であった.
- リモートセンシングによる地質学的地表材料の解釈は,重大な不確実性を示しました.
結論:
- リモートセンシングは,安全で交通可能な火星着陸地点を選択するのに非常に有効です.
- 軌道から地表の地質を理解することは依然として困難であり,固有の曖昧さを強調しています.
- 将来の火星着陸地選定の取り組みは,包括的な遠隔感知分析から恩恵を受けます.
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