Corrigendum to "Discussion of "Comparison of bias-corrected multisatellite precipitation products by deep learning framework"" [Int. J. Appl. Earth Observ. Geoinf. 120 (2023) 103357]

IF 7.5 1区地球科学 Q1 Earth and Planetary Sciences

International Journal of Applied Earth Observation and Geoinformation Pub Date : 2023-07-01 DOI:10.1016/j.jag.2023.103413

B. Mohammadi

引用次数: 0

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“讨论“通过深度学习框架比较偏差校正的多卫星降水产品”的勘误表[Int.J.Appl.Earth Observ.Geoinf.120（2023）103357]

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来源期刊

International Journal of Applied Earth Observation and Geoinformation 地学-遥感

CiteScore

10.20

自引率

8.00%

发文量

审稿时长

7.2 months

期刊介绍： The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.