{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:26:29Z","timestamp":1760235989426,"version":"build-2065373602"},"reference-count":56,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42,074,147"],"award-info":[{"award-number":["42,074,147"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Airborne (or satellite) gravity measurement is a commonly used remote sensing method to obtain the underground density distribution. Airborne gravity gradiometry data have a higher horizontal resolution to shallower causative sources than airborne gravity anomaly, so joint exploration of airborne gravity and its gradient data can simultaneously obtain the anomaly feature of sources with different depths. The most commonly used joint inversion method of gravity and its gradient data is the data combined method, which is to combine all the components into a data matrix as mutual constraints to reduce ambiguity and non-uniqueness. In order to obtain higher resolution results, we proposed a cooperate density-integrated inversion method of airborne gravity and its gradient data, which firstly carried out the joint inversion using cross-gradient constraints to obtain two density structures, and then fused two recovered models into a result through Fourier transform; finally, data combined joint inversion of airborne gravity, and gradient data were reperformed to achieve high-resolution density result using fused density results as a reference model. Compared to the data combined joint inversion method, the proposed cooperate density-integrated inversion method can obtain higher resolution and more accurate density distribution of shallow and deep bodies meanwhile. We also applied it to real data in the mining area of western Liaoning Province, China. The results showed that the depth of the skarn-type iron mine in the region is about 900\u20131300 m and gives a more specific distribution compared to the geological results, which provided reliable data for the next exploration plan.<\/jats:p>","DOI":"10.3390\/rs13204157","type":"journal-article","created":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T23:25:15Z","timestamp":1634513115000},"page":"4157","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["High-Resolution Cooperate Density-Integrated Inversion Method of Airborne Gravity and Its Gradient Data"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5621-9296","authenticated-orcid":false,"given":"Guoqing","family":"Ma","sequence":"first","affiliation":[{"name":"College of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, China"},{"name":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education of China, Jilin University, Changchun 130026, China"},{"name":"Institute of National Development and Security Studies, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, China"},{"name":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education of China, Jilin University, Changchun 130026, China"},{"name":"Institute of National Development and Security Studies, Jilin University, Changchun 130026, China"},{"name":"Polar Research Institute of China, Shanghai 200129, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lili","family":"Li","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, China"},{"name":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education of China, Jilin University, Changchun 130026, China"},{"name":"Institute of National Development and Security Studies, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taihan","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, China"},{"name":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education of China, Jilin University, Changchun 130026, China"},{"name":"Institute of National Development and Security Studies, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Runxin","family":"Niu","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, China"},{"name":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education of China, Jilin University, Changchun 130026, China"},{"name":"Institute of National Development and Security Studies, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinwei","family":"Li","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, China"},{"name":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education of China, Jilin University, Changchun 130026, China"},{"name":"Institute of National Development and Security Studies, Jilin University, Changchun 130026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1190\/1.1444302","article-title":"3-D inversion of gravity data","volume":"2","author":"Li","year":"1998","journal-title":"Geophysics"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1190\/1.1444596","article-title":"Focusing geophysical inversion images","volume":"6","author":"Portniaguine","year":"1999","journal-title":"Geophysics"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1190\/1.1444705","article-title":"Incorporating geological dip information into geophysical inversions","volume":"2","author":"Li","year":"2000","journal-title":"Geophysics"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/S0926-9851(02)00240-9","article-title":"3D gravity inversion using a model of parameter covariance","volume":"6","author":"Chasseriau","year":"2003","journal-title":"J. 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