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This data is associated with the paper Remote sensing and map quantitative data in an armed conflict zone. Case study: Quantitative monitoring and mapping of the damage in Syria archeological site Afamia (Apamea). This data is arranged in CSV file. TheCSV file (Data-Afamia-Syria-MOBAIED 2023) contains 143,426 rows and 9 columns that represent the 143,426 entities (points) which can be projected under an adapted GIS. The ID for each entity is specified at the column (A), the spatial coordinates are determined under WGS 84 / UTM zone 37N at the columns (B, C, D, E). The category of each entity is described for each of the years of observation at the columns (F, G, H, I) using the following code: (0) Outside of the archeological site Apamea (1) inside of the archeological site Apamea (2) Fields (3) Other (4) Intact Site (5) Intact Fields (7) Previous Clandestine Excavations (8) Recent Clandestine Excavations (9) Traces of former excavations
{"references": ["Mobaied, Comment \u00e9valuer les effets d'un r\u00e9gime totalitaire. Proposition de m\u00e9thodes g\u00e9ographiques spatio-temporelles pour mesurer et anticiper les crises li\u00e9es \u00e0 la situation politique et aux conflits en Syrie, PHD Thesis, MNHN, 2022."]}
Remote sensing, Mapping data, conflict, Syria, Apamea, Afarmia
Remote sensing, Mapping data, conflict, Syria, Apamea, Afarmia
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