Landslide impact analysis in Majenang Sub-district, Cilacap District, Jawa Tengah Province, Indonesia as of 18 November 2025

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Imagery and land coverIndonesia
Indonesia

About this dataset

**UNOSAT code: LS20251118IDN** This map illustrates satellite-detected landslides in Majenang Sub-district, Cilacap District, Jawa Tengah Province, Indonesia as observed from a Sentinel-2 and Shengi-02 images acquired on 18 and 21 November 2025. Within the analysed area of 500 hectares, about 10 hectares, of landslide scars were observed. UNITAR-UNOSAT identified about 30 damaged buildings and 40 potentially affected buildings. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Documentation

UNOSAT datasets and maps are produced using a variety of methods. In general, analysts closely review satellite imagery, often comparing two or more images together, and determine notable changes between the images. For damage assessments, refugee or IDP assessments, and similar analyses, these changes are then manually documented in the vector data by the analyst. For flood extractions, landcover mapping and similar analyses, a variety of automated remote sensing techniques are used to extract the relevant information which is then reviewed and revised as necessary by the analyst. In all cases, resulting data is then loaded into a standardized UNOSAT geodatabase and exported asshapefiles for dissemination. This is a preliminary assessment and has not yet been validated in the field. It is important to consider the characteristics of the source imagery used in the analyses when interpreting results. For damage assessments it should be noted that only significant damage to the structural integrity of the buildings analyzed can be seen in imagery, while minor damage such as cracks or holes may not be visible at all. For flood extractions using radar data it is important to note that urban areas and highly vegetated areas may mask the flood signature and result in underestimation of flood waters. Users with specific questions or concerns should contact unosat@unitar.org to seek clarification.

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