The Sentinel-1 mission provides data from a dual-polarization C-band Synthetic Aperture Radar (SAR) instrument at 5.405GHz (C band). This collection includes the S1 Ground Range Detected (GRD) scenes, processed using the Sentinel-1 Toolbox to generate a calibrated, ortho-corrected product. The collection is updated daily. New assets are ingested within two days after they become available. This collection contains all of the GRD scenes. Each scene has one of 3 resolutions (10, 25 or 40 meters), 4 band combinations (corresponding to scene polarization) and 3 instrument modes. Use of the collection in a mosaic context will likely require filtering down to a homogeneous set of bands and parameters. See this article for details of collection use and preprocessing. Each scene contains either 1 or 2 out of 4 possible polarization bands, depending on the instrument's polarization settings. The possible combinations are single band VV, single band HH, dual band VV+VH, and dual band HH+HV: VV: single co-polarization, vertical transmit/vertical receive HH: single co-polarization, horizontal transmit/horizontal receive VV + VH: dual-band cross-polarization, vertical transmit/horizontal receive HH + HV: dual-band cross-polarization, horizontal transmit/vertical receive Each scene also includes an additional 'angle' band that contains the approximate incidence angle from ellipsoid in degrees at every point. This band is generated by interpolating the 'incidenceAngle' property of the 'geolocationGridPoint' gridded field provided with each asset. Each scene was pre-processed with Sentinel-1 Toolbox using the following steps: Thermal noise removal Radiometric calibration Terrain correction using SRTM 30 or ASTER DEM for areas greater than 60 degrees latitude, where SRTM is not available. The final terrain-corrected values are converted to decibels via log scaling (10*log10(x)). For more information about these pre-processing steps, please refer to the Sentinel-1 Pre-processing article. For further advice on working with Sentinel-1 imagery, see Guido Lemoine's tutorial on SAR basics and Mort Canty's tutorial on SAR change detection. This collection is computed on-the-fly. If you want to use the underlying collection with raw power values (which is updated faster), see COPERNICUS/S1_GRD_FLOAT.

The SEN12TP dataset (Sentinel-1 and -2 imagery, timely paired) contains 2319 scenes of Sentinel-1 radar and Sentinel-2 optical imagery together with elevation and land cover information of 1236 distinct ROIs taken between 28 March 2017 and 31 December 2020. Each scene has a size of 20km x 20km at 10m pixel spacing. The time difference between optical and radar images is at most 12h, but for almost all scenes it is around 6h since the orbits of Sentinel-1 and -2 are shifted like that. Next to the \(\sigma^\circ\) radar backscatter also the radiometric terrain corrected \(\gamma^\circ\) radar backscatter is calculated and included. \(\gamma^\circ\) values are calculated using the volumetric model presented by Vollrath et. al 2020.

The uncompressed dataset has a size of 222 GB and is split spatially into a train (~90%) and a test set (~10%). For easier download the train set is split into four separate zip archives.

Please cite the following paper when using the dataset, in which the design and creation is detailed:
T. Roßberg and M. Schmitt. A globally applicable method for NDVI estimation from Sentinel-1 SAR backscatter using a deep neural network and the SEN12TP dataset. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2023. https://doi.org/10.1007/s41064-023-00238-y.

The file sen12tp-metadata.json includes metadata of the selected scenes. It includes for each scene the geometry, an ID for the ROI and the scene, the climate and land cover information used when sampling the central point, the timestamps (in ms) when the Sentinel-1 and -2 image was taken, the month of the year, and the EPSG code of the local UTM Grid (e.g. EPSG:32643 - WGS 84 / UTM zone 43N).

Naming scheme: The images are contained in directories called {roi_id}_{scene_id}, as for some unique regions image pairs of multiple dates are included. In each directory are six files for the different modalities with the naming {scene_id}_{modality}.tif. Multiple modalities are included: radar backscatter and multispectral optical images, the elevation as DSM (digital surface model) and different land cover maps.

Data modalities

name	Modality	GEE collection
s1	Sentinel-1 radar backscatter	COPERNICUS/S1_GRD
s2	Sentinel-2 Level-2A (Bottom of atmosphere, BOA) multispectral optical data with added cloud probability band	COPERNICUS/S2_SR COPERNICUS/S2_CLOUD_PROBABILITY
dsm	30m digital surface model	JAXA/ALOS/AW3D30/V3_2
worldcover	land cover, 10m resolution	ESA/WorldCover/v100

The following bands are included in the tif files, for an further explanation see the documentation on GEE. All bands are resampled to 10m resolution and reprojected to the coordinate reference system of the Sentinel-2 image.

Modality Bands

Modality	Band count	Band names in tif file	Notes
s1	5	VV_sigma0, VH_sigma0, VV_gamma0flat, VH_gamma0flat, incAngle	VV/VH_sigma0 are the \(\sigma^\circ\) values, VV/VH_gamma0flat are the radiometric terrain corrected \(\gamma^\circ\) backscatter values incAngle is the incident angle
s2	13	B1, B2, B3, B4, B5, B7, B7, B8, B8A, B9, B11, B12, cloud_probability	multispectral optical bands and the probability that a pixel is cloudy, calculated with the sentinel2-cloud-detector library optical reflectances are bottom of atmosphere (BOA) reflectances calculated using sen2cor
dsm	1	DSM	Height above sea level. Signed 16 bits. Elevation (in meter) converted from the ellipsoidal height based on ITRF97 and GRS80, using EGM96†1 geoid model.
worldcover	1	Map	Landcover class

Checking the file integrity
After downloading and decompression the file integrity can be checked using the provided file of md5 checksum.
Under Linux: md5sum --check --quiet md5sums.txt

References:

Vollrath, Andreas, Adugna Mullissa, Johannes Reiche (2020). "Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine". In: Remote Sensing 12.1, Art no. 1867. https://doi.org/10.3390/rs12111867.

After 2022-01-25, Sentinel-2 scenes with PROCESSING_BASELINE '04.00' or above have their DN (value) range shifted by 1000. The HARMONIZED collection shifts data in newer scenes to be in the same range as in older scenes. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Sentinel-2 data contain 13 UINT16 spectral bands representing TOA reflectance scaled by 10000. See the Sentinel-2 User Handbook for details. QA60 is a bitmask band that contained rasterized cloud mask polygons until Feb 2022, when these polygons stopped being produced. Starting in February 2024, legacy-consistent QA60 bands are constructed from the MSK_CLASSI cloud classification bands. For more details, see the full explanation of how cloud masks are computed.. Each Sentinel-2 product (zip archive) may contain multiple granules. Each granule becomes a separate Earth Engine asset. EE asset ids for Sentinel-2 assets have the following format: COPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the first numeric part represents the sensing date and time, the second numeric part represents the product generation date and time, and the final 6-character string is a unique granule identifier indicating its UTM grid reference (see MGRS). The Level-2 data produced by ESA can be found in the collection COPERNICUS/S2_SR. For datasets to assist with cloud and/or cloud shadow detection, see COPERNICUS/S2_CLOUD_PROBABILITY and GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED. For more details on Sentinel-2 radiometric resolution, see this page.

La misión Sentinel-1 proporciona datos de un instrumento de radar de apertura sintética (SAR) de banda C con doble polarización a 5.405 GHz (banda C). Esta colección incluye las escenas S1 Ground Range Detected (GRD), que se procesaron con Sentinel-1 Toolbox para generar un producto calibrado y ortocorregido. La colección se actualiza todos los días. Los recursos nuevos se transfieren en un plazo de dos…

Sentinel-1 任务通过双极化C 频段合成孔径雷达(SAR) 仪器（频率为5.405GHz，即 C 频段）提供数据。此合集包含使用Sentinel-1 Toolbox 处理的S1 地面探测范围(GRD) 场景，可生成经过校准的正射校正产品。此合集每天更新一次。新媒体资源会在两…

This data release pertains to the February 2023 Kahramanmaraş, Türkiye earthquake sequence and complements the following publication: Goldberg, D.E. et al. (2023) Rapid Characterization of the February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence, The Seismic Record. (xx), 1, doi: 10.1785/0320230009. Child Items "2023-02-06 Mw7.8 Pazarcık Earthquake Finite Fault Data and Model" and "2023-02-06 Mw7.5 Elbistan Earthquake Finite Fault Data and Model" provide data in the input formats required for the Wavelet and simulated Annealing SliP (WASP) finite-fault inversion code (https://github.com/slipinversion/WASP). This includes broadband seismic data, local strong-motion accelerometer data, high-rate Global Navigation Satellite Systems (GNSS) data, GNSS static offsets, and SAR data used in the finite fault inversion. Figures describing the model output are also included. Child Item "SAR sub-pixel offsets of February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence" includes Synthetic Aperture Radar (SAR) sub-pixel offsets fields derived from Sentinel-1A image pairs. The broadband seismic data in this data release are from globally distributed seismometers from networks G (https://doi.org/10.18715/GEOSCOPE.G), GE (https://doi.org/10.14470/TR560404), GT (https://doi.org/10.7914/SN/GT), II (https://doi.org/10.7914/SN/II), IU (https://doi.org/10.7914/SN/IU), and US (https://doi.org/10.7914/SN/US). Strong-motion accelerometer data are from networks KO (https://doi.org/10.7914/SN/KO) and TK (https://doi.org/10.7914/SN/TK). Global Navigation Satellite System (GNSS) data are from the CORS-TR (TUSAGA-Aktif-Türkiye) GNSS network (https://www.tusaga-aktif.gov.tr). Sentinel-1 Synthetic Aperture Radar (SAR) observations are from the European Space Agency ( https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-1/data-products).

Misi Sentinel-1 menyediakan data dari instrumen Synthetic Aperture Radar (SAR) C-band polarisasi ganda pada 5,405 GHz (C-band). Koleksi ini mencakup scene S1 Ground Range Detected (GRD), yang diproses menggunakan Sentinel-1 Toolbox untuk menghasilkan produk yang yang telah menjalani kalibrasi dan koreksi orto. Koleksi ini diperbarui setiap hari. Aset baru akan diproses dalam dua …

This data set provides GIS shapefiles and Google Earth kmz files containing polygons delineating slow-moving (0.5-6 cm/year in the radar line-of-sight direction) landslides and subsiding fan deltas in the Glacier Bay region of Alaska and British Columbia. Landslides and fan deltas were identified from displacement signals captured by Interferometric Synthetic Aperture Radar (InSAR) interferograms of Sentinel-1 C-band Synthetic Aperture Radar images. The images were acquired at 12-day intervals from June to October from 2018 to 2020. We applied the persistent scatterer InSAR (PSInSAR) methods to images from both descending (scene P145) and ascending (scene P50) satellite tracks. We used PSInSAR results from the descending track as a primary means to identify ground movement and then used results from the ascending track to confirm the ground movement. The overlapping area covered by both images is 14,780 sq. km.
Each polygon in the shapefile and .kmz file outlines an area of movi ...

自 2022 年 1 月 25 日起，PROCESSING_BASELINE 为 '04.00' 或以上的Sentinel-2 场景的DN（值）范围将偏移1000。HARMONIZED 集合会将新场景中的数据移至与旧场景相同的范围内。 Sentinel-2 是一项宽幅、高分辨率、多光谱成像任务，可为哥白尼陆地监测研究提供支持，包括监测植被、土壤和水覆盖，以及观测内陆水道和沿海区域。 Sentinel-2 L2 数据是从CDSE 下载的。它们是通过运行sen2cor 计算出来的。警告：EE 集合中2017-2018 年的L2 覆盖范围尚未覆盖全球。 这些资源包含12 个 UINT16 光谱波段，表示按10000 缩放的SR（与 L1 数据不同，没有 B10）。还有几个L2 专属波段（详情请参阅波段列表）。如需了解详情，请参阅Sentinel-2 用户手册。 QA60 是一个位掩码波段，2022 年 1 月 25 日之前包含光栅化的云掩码多边形，此后即停止生成。自 2024 年 2 月 28 日起，旧版一致性QA60 波段由MSK_CLASSI 云分类波段构建而成。 如需了解详情，请参阅有关云掩码计算方式的完整说明。 Sentinel-2 L2 资产的EE 资产 ID 具有以下格式：COPERNICUS/S2_SR/20151128T002653_20151128T102149_T56MNN。其中，第一个数字部分表示感测日期和时间，第二个数字部分表示产品生成日期和时间，最后的包含6 个字符的字符串是唯一粒度标识符，用于指示其UTM 网格参考（请参阅MGRS）。 如需获取有助于进行云和/或云阴影检测的数据集，请参阅COPERNICUS/S2_CLOUD_PROBABILITY 和 GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED。 如需详细了解Sentinel-2 的辐射分辨率，请参阅此页面。