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Satellite Image Time Series Datasets

This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets. We focus mainly on annotated datasets.

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Table of Contents

Semantic and Instance Segmentation

Datasets are sorted by annotation granularity. We note that polygons annotations are reserved for crop-type identification tasks, while pixel annotations might be considered in more general tasks such as land cover mapping.

Pixel annotations for each image

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionNumber of classesAcquisition
MultiEarth 20232023Sentinel-1 + Sentinel-2 + Landsat-5 + Landsat-810m + 10m + 30m + 30mWeekly acquisitions depending on the source & Monthly annotation2Amazon (1984-2021)
MultiEarth 20222022Sentinel-1 + Sentinel-2 + Landsat-5 + Landsat-810m + 10m + 30m + 30mWeekly acquisitions depending on the source & Monthly annotation2Amazon (1984-2021)
Dynamic World2022Sentinel-210mWeekly acquisition and weekly automatic annotation without human verification9Global (2015-present)
DynamicEarthNet2021PlanetFusion3mDaily acquisition & Monthly annotation7Global (2018-2019)
SpaceNet 72020PlanetScope4mMonthly acquisition & annotation2Global (2017-2020)

Pixel annotations for each time series

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionNumber of classesAcquisition
BraDD-S1TS2023Sentinel-110mWeekly acquisition2Brazil (2020-2021)
FLAIR #22023Sentinel-210mWeekly acquisition13France (1-year aquisition)
MultiSenGE2022Sentinel-1 + Sentinel-25m + 10mDaily + weekly acquisition14Eastern France (2019-2020)
PASTIS2021Sentinel-210mWeekly acquisition18France (2018-2019)
PASTIS-R2021Sentinel-1 + Sentinel-25m + 10mDaily + weekly acquisition18France (2019)
AI4EO Enhanced Sentinel 2 Agriculture2021Sentinel-210mWeekly acquisition2Slovenia (2019)
UTRNet2021Landsat-830mIrregular acquisition2China (2013-2021)
MTLCC2018Sentinel-210mWeekly acquisition & Annual annotation for 2016 and 201717Munich, Germany (2016-2017)
TiSeLaC2017Landsat-830mBi-monthly acquisition9Reunion Island (2014)

Polygon annotations for each image

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionNumber of classesAcquisition
Sen4AgriNet2022Sentinel-210m to 60mWeekly acquisition & Annual annotation168Catalonia & France (2019-2020)
Deep Crop Rotation2021Sentinel-210mWeekly acquisition & Annual annotation10France (2018-2020)
Campo Verde2018Landsat-8 + Sentinel-130m + 10mBi-monthly acquisition & annotation14Brazil (2015-2016)
LEM2018Landsat-8 + Sentinel-1 + Sentinel-230m + 10m + 10mBi-monthly (L8+S1) + weekly (S2) acquisition & Monthly annotation14Brazil (2017-2018)

Polygon annotations for each time series

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionNumber of classesAcquisition
SICKLE2024Landsat-8 + Sentinel-1 + Sentinel-230m + 3m + 10mBi-monthly + 12d + weekly acquistion21India (2018-2021)
AgriSen-COG2023Sentinel-210mWeekly acquisition103Austria, Belgium, Spain, Denmark, Netherlands (2019-2020)
TimeMatch2022Sentinel-210mWeekly acquisition16Austria, Denmark, mid-west France, southern France (2017)
DENETHOR2021Cloud-free fusion of images from various satellites3mDaily acquisition10Germany (2018-2019)
EuroCrops2021Sentinel-2/Weekly acquisition43Europe (2015-2022)
TimeSen2Crop2021Sentinel-210mWeekly acquisition16Austria (2017-2018)
Canadian Cropland2021Sentinel-210mMonthly acquisition10Canada (2019)
ZueriCrop2021Sentinel-210mWeekly acquisition48Zurich, Switzerland (2019)
Crop type in Western Cap2021PlanetScope + Sentinel-1 + Sentinel-23m + 10m + 10mBi-monthly (Planet+S1) + weekly (S2) acquisition5South Africa (2017)
Spot the crop challenge2021Sentinel-1 + Sentinel-25m + 10mBi-monthly + weekly acquisition10South Africa (2016)
BreizhCrops2020Sentinel-260mWeekly acquisition9Brittany, France (2017)
Crop type in Ghana2020PlanetScope + Sentinel-1 + Sentinel-23m + 10m + 10mBi-monthly (Planet+S1) + weekly (S2) acquisition4Ghana (2017)
Crop type on South Soudan2020PlanetScope + Sentinel-1 + Sentinel-23m + 10m + 10mBi-monthly (Planet+S1) + weekly (S2) acquisition4South Soudan (2017)
CV4A Kenya2020Sentinel-210mBi-monthly acquisition7Kenya (2019)
Pixel-Set dataset2020Sentinel-210mWeekly acquisition20France (2017)

Image-level annotations

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionNumber of classesAcquisition
fMoW-Sentinel2022Sentinel-210mIrregular acquisition63Global (2015-2019)
SEN12-FLOOD2020Sentinel-1 + Sentinel-210m + 10mBi-monthly + weekly acquisition2African, Iranian and Australian cities (2018-2019)
fMoW-RGB2018DigitalGlobe constellationmultiple resolutions (0.3m to 3.7m)Irregular acquisition63Global (2002-2017)

Datacube-level annotations

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionNumber of classesAcquisition
Sen4Map2024Sentinel-210m + 20mWeekly acquisition119Europe (2018)
Planted2024Sentinel-1 + Sentinel-2 + Lansat-7 + ALOS-2 + MODIS10m (S1+S2) + 30m (L7+A2) + 250m (M)Seasonal (S1+S2+L7) yearly (A2) and monthly (M) acquisitions64Global (2013-2017)
TreeSatAI-Time-Series2024Sentinel-1 + Sentinel-210m + 10mWeekly acquisition20Germany (2017-2020)
RapidAI4EO Corpus2023PlanetFusion + Sentinel-23m + 10m5-days + monthly acquisition44 (multi-label)Europe (2018-2019)

Regression

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionAcquisition
Multi-Modal Satellite Imagery Dataset2024Sentinel-2 + Multilabel metadata10m + municipality-levelWeekly (S2) acquisitionColombia (S2: 2016-2018, metadata: 2007-2019)
CropNet2024Sentinel-2 + WRF-HRRR9km + 9km14d + 1d & Annual annotationUSA (2017-2022)
SICKLE2024Landsat-8 + Sentinel-1 + Sentinel-230m + 3m + 10mBi-monthly + 12d + weekly acquistionIndia (2018-2021)
BioMassters2023Sentinel-1 + Sentinel-220m + 10mMonthly acquisition & Annual annotationFinland (2016-2021)

Forecasting

[!NOTE]
Here we list a few forecasting datasets, particularly for weather forecasting, but this list is by no means exhaustive. More weather forecasting datasets are listed here.

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionNumber of classesAcquisition
GreenEarthNet2024Sentinel-2 + meteorological observations20mWeekly (S2) + daily/Europe (2017-2022)
SeasFire2023ERA5, MODIS, ...27km8d/Global (2001-2021)
Digital Typhoon2023Himawari5km60min/Western North Pacific basin (1978-2022)
SEN2DWATER2023Sentinel-210mEvery 2 months/Italy & Spain (2020-2022)
EarthNet20212021Sentinel-2 + mesodynamic models20m + 1,28kmWeekly (S2) + daily/Europe (2016-2020)
CloudCast2021Meteosat Second Generation3km15min11Europe (2017-2018)
MeteoNet2020Ground station observations, satellite images, rain radar observations, weather forecasting models and land-sea and relief masksVariableVariable/France (2016-2018)
SEVIR2020GOES-16 + NEXRAD2km + 1km5min/USA (2017-2019)

Object tracking

Dataset nameYearImage sourceSpatial resolutionTemporal resolutionNumber of classesAcquisition
TMS2024Jilin-1 + SkySat + Synthetic1m1 frame per second1Cities
AIR-MOT2022Jilin-11m5 to 10 frame per second2Cities
VISO2021Jilin-11m10 frame per second4Cities
SatSOT2021Jilin-1 + SkySat + Carbonite-21m10 to 25 frame per second4Cities

Other tasks

Dataset nameYearTaskImage sourceSpatial resolutionTemporal resolutionAcquisition
BreizhSR2024Super-resolutionSentinel-2 + SPOT-6/710m + 2.5mWeekly (S2) acquisitionBrittany France (2018)
SSL4EO-L2023Pre-training taskLandSat-4,5,7,8,930mSeasonally acquisitionGlobal
SSL4EO-S122023Pre-training taskSentinel-1 + Sentinel-25m + 10mSeasonally acquisitionGlobal
SAT-MTB2023Detection, segmentation and object trackingJilin-11m10 frame per secondCities
TimeMatch2022Domain adaptationSentinel-210mWeekly acquisitionAustria, Denmark, mid-west France, southern France (2017)
WorldStrat2022Super-resolutionSpot-6 + Spot-7 + Sentinel-21,5m + 1,5m + 10mWeekly (S2) acquisitionGlobal
Jilin-1892022Video super-resolutionJilin-11m25 frame per secondCities
SEN12MS-CR-TS2022Cloud removalSentinel-1 + Sentinel-210m + 10mBi-monthly (S1) + weekly (S2) acquisitionGlobal (2018)
NASA Harvest2022Field Boundary DetectionPlanetScope3.7mMonthly acquisition & Time-independant annotationRwanda (2021)
AI4Boundaries2022Field boundary detectionSentinel-2 + aerial ortho-photo10m + 1mMonthly acquisition & Yearly annotationEurope (2019)
Seasonal Contrast2021Pre-training taskSentinel-210mSeasonally acquisitionGlobal
PROBA-V Super-Resolution2019Super-resolutionPROBA-V300m + 100mDaily acquisitionGlobal

Citation

The authors thank the French spatial agency (CNES) and the Brittany region for their financial support.

<sup>1</sup>Université Bretagne Sud, IRISA, UMR CNRS 6074, Vannes, France
<sup>2</sup>Centre National d’Études Spatiales (CNES), Toulouse, France

If you use this work, consider citing it as below.

@misc{dufourg2023sitsdatasets,
 author = {Dufourg, Corentin and Pelletier, Charlotte and May, Stéphane and Lefèvre, Sébastien},
 title = {Satellite Image Time Series Datasets},
 howpublished = {\url{https://github.com/corentin-dfg/Satellite-Image-Time-Series-Datasets}} 
}