- Datasets (source)

Sentinel-1 IW SAFE files: from ASF Vertex, https://search.asf.alaska.edu/

- Software

CSLC-S1 processing: COMPASS https://github.com/opera-adt/COMPASS

Offset-tracking: PyCuAmpcor https://github.com/lijun99/cuAmpcor

Deep learning: TensorFlow's Keras (version 2.13.1; recommended installation with 'pip install tensorflow[and-cuda]==2.13.1')

- Description of Contents (in CC-ResSiamNet_dataset.zip)

select_CSLC-S1_bursts.ipynb: processed OPERA burst IDs in Alaska and plotting

note_download.txt: downloading training/validation/test sets from Box cloud storage

utils.py: necessary python functions

read_dataset.ipynb: jupyter notebook to read datasets for deep learning

- Youtube clip

AI-generated conversations about the findings in the published article to help the public understand (created by NotebookLM).

https://youtu.be/sfOGJBBOrCU

This dataset provides seven Sentinel-1 Synthetic Aperture Radar (SAR) scenes covering a portion of the Madeira River in Brazil from Porto Velho to Abuna. Each scene has been pre-processed for the use of detecting artisanal and small-scale mining (ASM) riverine dredges. The scenes were collected from the ASF search vertex (https://search.asf.alaska.edu/#/) as L1 Detected High-Res Dual-Pol (GRD-HD) products. They were acquired using a C-band SAR with the Interferometric Wide Swath (IW) mode, VV and VH polarizations, and a temporal resolution of 6 days. Each SAR acquisition covers a 250 km swath; however, these have been clipped to the study area. They have a 20 m x 22 m (ground range x azimuth) resolution, a 10 m x 10 m pixel spacing, and an Equivalent Number of Looks (ENL) of 4.4. The data is collected in ascending and descending passes; although, only descending passes were available in the study area. Four of the dates (20190604, 20190616, 20190628, and 20190710) required two sce ...

This is a supporting dataset for Tang et al. (2023), "Oblique blind faulting underneath the Luzon volcanic arc during the 2022 Mw 7.0 Abra earthquake, the Philippines". The original and downsampled line-of-sight displacements for modeling are presented in this repository. The coseismic interferogram using the synthetic aperture radar images from Copernicus Sentinel-1A descending track 32 on 21 July and 2 August, 2022 (6 days before and after the mainshock). The flight direction is ~N190° with a westward look angle ranging from 36° to 45°. Details of processing and downsampling schemes can be found in the paper. The Sentinel-1 images were processed by European Space Agency (ESA) and downloaded from Alaska Satellite Facility (ASF) Data Search Vertex (https://search.asf.alaska.edu/).

Resumen EL SATÉLITE ALOS: Lanzado en enero del 2006 por la Agencia Japonesa de Exploración Aeroespacial en enero de 2006 y su nombre japonés es "DAICHI". El satélite ALOS durante su operación (mayo 16 de 2006 a abril 22 de 2011), colectó imágenes de Radar en escenas de 50 km x 70 km de todo el planeta cada 45 días aproximadamente a través de su sensor PALSAR (Phased Array Type L-band Synthetic Aperture Radar). DEM ALOS-PALSAR Uno de los productos ofrecidos por Alaska Satellite Facility en el contexto de las imágenes de ALOS Palsar, es el Modelo Digital de Elevación de 12.5 m por pixel. (Ver en https://vertex.daac.asf.alaska.edu/). Para Chile, la cobertura es total. Cada escena mide 85 x 85 km y es posible descargar orbitas ascendentes como descendentes. Se descargaron las escenas y se confeccionaron mosaicos regionales. Para cambiar la altura Geoidal a Nivel medio del mar, se utilizó un modelo Geoidal EGM2008 mundial, que registra las diferencias entre el geoide y en nivel medio del mar, con pixeles de 1 segundo de arco (30 mt). Las diferencias geoidales se le restaron a los valores de altitud del DEM. Por último se recortó el DEM con el límite Regional ODEPA y se exportaron los resultados (15 regiones) al formato JPG2000 en 16 bit y sin decimales. La escala aproximada, definida por el error vertical y por el tamaño del Pixel, es de 1:25.000 Tipo de archivo: Raster en formato GRID.Palabras claves: medio fisico, topografiaAño del archivo: 2016Coordenadas: - norte: 6.355.841,256000- sur: 6.205.191,256000- oeste: 255.600,000000- este: 428.450,000000Autor: Centro de Información de Recursos Naturales (CIREN)Fuente: IDE Chile https://www.ide.cl/descargas/capas/Imagenes/DEM/RM.rar https://www.ide.cl/descargas/capas/Imagenes/DEM/LGBO.rarhttps://www.ide.cl/descargas/capas/Imagenes/DEM/VALPO.rarRestricciones: Dato abierto

Population Density : This vector dataset provides the population density by commune in Cambodia, as provided by Cambodian Demographic Census 2008 (Ministry of Planning, National Institute of Statistics). Dataset were provided to Open Development Cambodia (ODC) in vector format by Save Cambodia's Wildlife's Atlas Working Group.Urban Density in Cambodia (2011) : This vector dataset provides the urban density in Cambodia, as given by the United Nations Population Fund (UNFPA). Dataset were provided to Open Development Cambodia (ODC) by Save Cambodia's Wildlife's Atlas Working Group.Population Projections for 2030 in Cambodia (2010) : This dataset provides projected population of 2030, projected annual growth rate in each province in Cambodia, given by National Institute of Statistics and the United Nations. Data were provided to Open Development Cambodia (ODC) in vector format by Save Cambodia's Wildlife's Atlas Working Group.River networks of Cambodia : Vector polyline data of river networks in Cambodia. Attributes include: name of river, name of basin, name of sub-basin, Strahler number.Canals in Cambodia (2008) : This dataset is included geographical locations of canals and types of canal such as earthen, levee and masonry. The data is released by Department of Geography of Ministry of Land Management, Urban Planning, and Construction of Cambodia, and then it is contributed by Office for the Coordination of Humanitarian Affairs (OCHA) and shared on Humanitarian Data Exchange (HDX). ODC's map and data team has collected the data from HDX website in Shapefile format and re-published it on ODC's website.Special economic zone in Cambodia (2006-2019) : This dataset describes the information of special economic zone (SEZ) in Cambodia from 2006 to 2019. The total number of 42 SEZ is recorded. The data was collected from many sources by ODC’s mappers such as the royal gazette of Cambodia's government, and reports of the governmental ministries in hard and soft copies of pdf format. Geographic data is encoded in the WGS 84, Zone 48 North coordinate reference system.Road and railway networks in Cambodia (2012- 2019) : Road networks are produced by Open Street Map. ODC's map and data team extracted the data in vector format. Moreover, the polyline data of railway​ given by Save Cambodia's Wildlife's Atlas Working Group in Cambodia for two statuses such as existing, proposed new lines in Cambodia.Forest cover in Cambodia (2015-2018) : This forest cover is extracted from the Forest Monitoring System (https://rlcms-servir.adpc.net/en/forest-monitor/) which is developed by SERVIR-Mekong and the Global Land Analysis and Discovery Lab (GLAD) from University of Maryland. The definition of forest for this dataset is the tree canopy greater than 10% with height more than 5 meters.Schools in flood-prone area 2013 (information 2012-2014) : This dataset is created by clipping between Cambodia flood-prone areas in 2013 dataset and Basic information of school dataset to identify schools are under the flood extend in 2013. The basic information of school contains the spatial location of school, the attribute information in 2014, and total enrollment in 2012.Basic map of Cambodia (2014) : These datasets contain three different types of administrative boundary levels: provincial, district and commune which were contributed by Office for the Coordination of Humanitarian Affairs (OCHA) to Humanitarian Data Exchange (HDX). The datasets were obtained from the Department of Geography of Ministry of Land Management, Urban Planning and Construction (MLMUPC) in 2008 and then unofficially updated in 2014 by referring to Sub-decrees on administrative modifications. Most Recent Changes: New province added (Tbong Khmum), with underlying districts and communes.Land cover in Cambodia (2012- 2016) : The land cover is extracted from the Regional Land Cover Monitoring System (https://rlcms-servir.adpc.net/en/landcover/) which is developed by SERVIR-Mekong. The primitives are calculated from remote sensing indices which were made from yearly Landsat surface reflectance composites. The training data were collected by combining field information with high-resolution satellite imagery.Cropland in Cambodia : This dataset contains information of cropland and location of croplands in Cambodia which was downloaded from World Food Programme GeoNode (WFPGeoNode) using data in 2013 from​ the Department of Land and Geography of the Ministry of Land Management, Urban Planning and Construction.Community Fisheries Map for Cambodia (2011) : This dataset provides 2011 geographic boundaries, size and the number of villages covered by each community fishery for which coordinates are available in Cambodia, as given by the Fisheries Administration. For those community fisheries sites without coordinates, locations are given as the center points of communes and metrics are taken from the Commune Database of 2011. Geographic data is encoded in the WGS 84 coordinate reference system. Data were provided to ODC in vector format by Save Cambodia's Wildlife's Atlas Working Group.Digital Elevation Model (DEM 12.5 m) in 2010 : This raster dataset provides the Digital Elevation Model in the world. Dataset were provided to ASF Data Search Vertex by EarthData. This dataset has high resolution terrain at 12.5 meter. Alaska Satellite Facility (ASF) : making remote-sensing data accessible. ASF operates the NASA archive of synthetic aperture radar (SAR) data from a variety of satellites and aircraft, providing these data and associated specialty support services to researchers in support of NASA’s Earth Science Data and Information System (ESDIS) project.Function Area : This dataset are produced by Open Street Map. The data extracted the data in vector format (point feature).Tourism area (Museum, Attraction) : This dataset are produced by Open Street Map. The data extracted the data in vector format (point feature).Entity : Royal Government of Cambodia, Ministry of Planning, National Institute of Statistics; Cambodian Demographic Census 2008. Phnom Penh, 2008; Save Cambodia's Wildlife; In Atlas of Cambodia: maps on socio-economic development and environment;Time period : 2006-2018Frequency of update : Always up-to-dateGeo-coverage() : NationalGeo-coverage: National() : Cambodia