2018年9月-11月新疆启鑫示范区1:5万航磁三分量△V 100米网格数据

该数据集为2018年9月-11月，中国自然资源航空物探遥感中心实测1:5万航磁三分量数据。利用中国飞龙通用航空公司运12飞机（编号B-3750），在新疆哈密机场，搭载AGS-863航空三分量磁力仪、AGS-863航磁三分量数据收录&补偿系统、IGI飞行姿态测量系统，HC-2000光泵磁力仪、CG-T3.0无线电测高仪、差分GPS卫星导航定位系统等设备。航磁三分量数据预处理主要操作包括数据正常场校正（采用2015年IGRF模型逐点计算正常场进行校正）、磁日变校正、滞后校正、航磁水平调整。数据集采用2000国家大地坐标系，1985国家高程，高斯-克吕格投影，中央经线93°。将处理后的航磁ΔV数据由GeoProbe Mager 4.0软件系统中的测线数据网格化模块计算获得网格数据，网格间距100m×100m。该数据集较为清晰的展现了启鑫示范区的磁场面貌，利用该数据集开展了岩性构造推断，并进行了定量解释，辅助进行三维地质建模。该数据集可协议共享。

This dataset comprises 1:50000 aeromagnetic three-component field data measured by the China Natural Resources Aerogeophysical and Remote Sensing Center from September to November 2018. The data was collected using a Y-12 aircraft (registration number B-3750) operated by China Flying Dragon General Aviation Co., Ltd., departing from Hami Airport in Xinjiang Uygur Autonomous Region. The aircraft was equipped with the AGS-863 airborne three-component magnetometer, AGS-863 aeromagnetic three-component data acquisition & compensation system, IGI flight attitude measurement system, HC-2000 optical pump magnetometer, CG-T3.0 radio altimeter, and differential GPS (DGPS) satellite navigation and positioning system, and other related equipment. The main preprocessing steps for the aeromagnetic three-component data include normal field correction (calculated point-by-point using the 2015 International Geomagnetic Reference Field (IGRF) model), magnetic diurnal variation correction, lag correction, and aeromagnetic horizontal adjustment. The dataset adopts the 2000 National Geodetic Coordinate System (CGCS2000), 1985 National Elevation Datum, Gauss-Krüger projection, with a central meridian of 93°. Gridded data with a spacing of 100 m × 100 m was generated from the processed aeromagnetic ΔV data using the flight line data gridding module in the GeoProbe Mager 4.0 software system. This dataset clearly depicts the magnetic field features of the Qixin Demonstration Area. It has been utilized to conduct lithologic and structural inference, perform quantitative interpretation, and assist in 3D geological modeling. This dataset is available for sharing under mutual agreement.