دورية أكاديمية

Spatially granular poverty index (SGPI) for urban poverty mapping in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data approach

التفاصيل البيبلوغرافية
العنوان: Spatially granular poverty index (SGPI) for urban poverty mapping in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data approach
المؤلفون: Utami, Nasiya AlifahAff1, Aff2, Wijayanto, Arie WahyuAff1, Aff2, IDs12145023010847_cor2, Pramana, SetiaAff1, Aff2, Astuti, Erni TriAff2, Aff3
المصدر: Earth Science Informatics. 16(4):3531-3544
قاعدة البيانات: Springer Nature Journals