Americas geoscience data

# EOS-RS Damage Proxy Map: Ecuador, Earthquake, 19-26 Mar 2023, v0.8 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in southern Ecuador and northern Peru due to the M6.8 earthquake that occurred on 18 Mar 2023. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (7 Nov 2022 to 14 Mar 2023) and after (19-26 Mar 2023) the event. The image covers an area indicated by the large white polygon. Each pixel measures about 30 meters across. The colour variation from yellow to red indicates increasingly more significant surface change. Preliminary validation was done by comparing with media reports. This map could be used as a guidance to identify damaged areas, and may be less reliable over vegetated areas. Scattered pixels over vegetated areas may be false positives, and a lack of colored pixels over vegetated areas may not mean no damage. Some pixels may be due to changes in vegetation cover. The product contains modified Copernicus Sentinel data (2022-2023), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2022-2023).

The landslide susceptibility map for current climate conditions highlights regions vulnerable to landslides caused by earthquakes or precipitation. This map was derived by combining the two susceptibility layers described below: for each cell, the highest value between the two was selected. Classes 2 and 3 are categorized as "Moderate", and classes 4 and 5 as "High". Class 1 denotes no susceptibility and is not shown. 1) The earthquake-induced landslide susceptibility map indicates the areas of the world that are more prone to landslides triggered by earthquakes. The landslide susceptibility is based on the model developed by NGI (Nadim et al., 2006, 2013; Jaedicke et al., 2013) but with improvements and refinements. The earthquake-induced landslides susceptibility map classifies the terrain into five susceptibility classes by combining slope, vegetation, lithology, and soil moisture information from global datasets. The weights of different susceptibility factors were calibrated to the information available in landslide inventories and physical processes. 2) The precipitation-induced landslide susceptibility map for the existing climate indicates the areas of the world that are more prone to landslides in the current climate conditions. The landslide susceptibility is based on the model developed by NGI (Nadim et al., 2006, 2013; Jaedicke et al., 2013) but with improvements and refinements. The precipitation-induced landslides susceptibility map for the current climate classifies the terrain into five susceptibility classes by combining slope, vegetation, lithology, and antecedent rainfall information from global datasets. Antecedent rainfall information has been obtained from the W5E5 dataset for the period 1979-2016. The weights of different susceptibility factors were calibrated to the information available in landslide inventories and physical processes. Note: This layer represents landslide susceptibility and not landslide hazard. It does not incorporate triggering factors (e.g., earthquake ground motion or rainfall intensity/return periods). Hazard can only be derived by combining susceptibility with a defined trigger scenario. The map has a resolution of 3 arc-sec. (~93 meters at the equator; east–west distance decreases with latitude). Background paper: A new model for global landslide susceptibility assessment and scenario-based hazard assessment (2003) Rosa M. Palau, Farrokh Nadim, Eivind Paulsen, Erlend Storrøsten https://giri.unepgrid.ch/sites/default/files/2023-06/20230615-NGI_manuscript_GIRI_landlside_hazard_model.pdf Release date: Sun Apr 30 2023 The layer was clipped to the geographic boundaries of 1) IDB Borrowing Member Countries, 2) Caribbean Development Bank (CDB) Borrowing Countries, 3) Organization of Eastern Caribbean States (OECS) Member Countries. VECTORIZED VERSION AVAILABLE HERE: Landslide Susceptibility