@inproceedings{oai:jaxa.repo.nii.ac.jp:00020686,
 author = {Ping, J. and 松本, 晃治 and 日置, 幸介 and Potts, L. and 菅野, 貴之 and Ping, J. and Matsumoto, Koji and Heki, Kosuke and Potts, L. and Sugano, Takayuki},
 book = {第36回月・惑星シンポジウム, Proceedings of the 36th ISAS Lunar and Planetary Symposium},
 month = {Nov},
 note = {It has been observed that a simple isostatic compensation model cannot give a perfect constraint on the internal properties of the lunar crust below the surface. A spectral correlation analysis was improved to estimate the lunar mare filling thickness and crustal features by means of global scale. In this article, assuming a terrain density of 2.9 g/cm(sup 3) a multi-layer surface-mass density approximation is introduced into the analysis of upward continuation to estimate the terrain potential from a lunar surface topography model with spherical harmonics of degrees and orders up to 110. Using this approach, the lunar free air gravity anomalies obtained by Lunar Prospector mission can be separated into terrain positive correlated and terrain negative correlated components. The mare basalt filling thickness can be obtained from the terrain negative correlated coefficients. Adopting Airy-Heiskanen isostasy model and a mantle density contrast of 0.5 g/cm(sup 3), the global thickness distribution and compensation status of lunar crust under the surface are estimated together with Moho relief from the data sets of free air gravity and surface topography. The suggested algorithm is effective on estimating the 3D distribution for both mare basalt filling and crustal thickness., 資料番号: AA0046650037},
 pages = {145--148},
 publisher = {宇宙航空研究開発機構宇宙科学研究本部, Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA/ISAS)},
 title = {Lunar global crustal analysis from topography and gravity anomalies based on upgraded correlation algorithm},
 year = {2003}
}