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mesuga-reymond / 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.

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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.

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 name Year Image source Spatial resolution Temporal resolution Number of classes Acquisition
MultiEarth 2023 2023 Sentinel-1 + Sentinel-2 + Landsat-5 + Landsat-8 10m + 10m + 30m + 30m Weekly acquisitions depending on the source & Monthly annotation 2 Amazon (1984-2021)
MultiEarth 2022 2022 Sentinel-1 + Sentinel-2 + Landsat-5 + Landsat-8 10m + 10m + 30m + 30m Weekly acquisitions depending on the source & Monthly annotation 2 Amazon (1984-2021)
Dynamic World 2022 Sentinel-2 10m Weekly acquisition and weekly automatic annotation without human verification 9 Global (2015-present)
DynamicEarthNet 2021 PlanetFusion 3m Daily acquisition & Monthly annotation 7 Global (2018-2019)
SpaceNet 7 2020 PlanetScope 4m Monthly acquisition & annotation 2 Global (2017-2020)

Pixel annotations for each time series

Dataset name Year Image source Spatial resolution Temporal resolution Number of classes Acquisition
BraDD-S1TS 2023 Sentinel-1 10m Weekly acquisition 2 Brazil (2020-2021)
FLAIR #2 2023 Sentinel-2 10m Weekly acquisition 13 France (1-year aquisition)
MultiSenGE 2022 Sentinel-1 + Sentinel-2 5m + 10m Daily + weekly acquisition 14 Eastern France (2019-2020)
PASTIS 2021 Sentinel-2 10m Weekly acquisition 18 France (2018-2019)
PASTIS-R 2021 Sentinel-1 + Sentinel-2 5m + 10m Daily + weekly acquisition 18 France (2019)
AI4EO Enhanced Sentinel 2 Agriculture 2021 Sentinel-2 10m Weekly acquisition 2 Slovenia (2019)
UTRNet 2021 Landsat-8 30m Irregular acquisition 2 China (2013-2021)
MTLCC 2018 Sentinel-2 10m Weekly acquisition & Annual annotation for 2016 and 2017 17 Munich, Germany (2016-2017)
TiSeLaC 2017 Landsat-8 30m Bi-monthly acquisition 9 Reunion Island (2014)

Polygon annotations for each image

Dataset name Year Image source Spatial resolution Temporal resolution Number of classes Acquisition
Sen4AgriNet 2022 Sentinel-2 10m to 60m Weekly acquisition & Annual annotation 168 Catalonia & France (2019-2020)
Deep Crop Rotation 2021 Sentinel-2 10m Weekly acquisition & Annual annotation 10 France (2018-2020)
Campo Verde 2018 Landsat-8 + Sentinel-1 30m + 10m Bi-monthly acquisition & annotation 14 Brazil (2015-2016)
LEM 2018 Landsat-8 + Sentinel-1 + Sentinel-2 30m + 10m + 10m Bi-monthly (L8+S1) + weekly (S2) acquisition & Monthly annotation 14 Brazil (2017-2018)

Polygon annotations for each time series

Dataset name Year Image source Spatial resolution Temporal resolution Number of classes Acquisition
SICKLE 2024 Landsat-8 + Sentinel-1 + Sentinel-2 30m + 3m + 10m Bi-monthly + 12d + weekly acquistion 21 India (2018-2021)
AgriSen-COG 2023 Sentinel-2 10m Weekly acquisition 103 Austria, Belgium, Spain, Denmark, Netherlands (2019-2020)
TimeMatch 2022 Sentinel-2 10m Weekly acquisition 16 Austria, Denmark, mid-west France, southern France (2017)
DENETHOR 2021 Cloud-free fusion of images from various satellites 3m Daily acquisition 10 Germany (2018-2019)
EuroCrops 2021 Sentinel-2 / Weekly acquisition 43 Europe (2015-2022)
TimeSen2Crop 2021 Sentinel-2 10m Weekly acquisition 16 Austria (2017-2018)
Canadian Cropland 2021 Sentinel-2 10m Monthly acquisition 10 Canada (2019)
ZueriCrop 2021 Sentinel-2 10m Weekly acquisition 48 Zurich, Switzerland (2019)
Crop type in Western Cap 2021 PlanetScope + Sentinel-1 + Sentinel-2 3m + 10m + 10m Bi-monthly (Planet+S1) + weekly (S2) acquisition 5 South Africa (2017)
Spot the crop challenge 2021 Sentinel-1 + Sentinel-2 5m + 10m Bi-monthly + weekly acquisition 10 South Africa (2016)
BreizhCrops 2020 Sentinel-2 60m Weekly acquisition 9 Brittany, France (2017)
Crop type in Ghana 2020 PlanetScope + Sentinel-1 + Sentinel-2 3m + 10m + 10m Bi-monthly (Planet+S1) + weekly (S2) acquisition 4 Ghana (2017)
Crop type on South Soudan 2020 PlanetScope + Sentinel-1 + Sentinel-2 3m + 10m + 10m Bi-monthly (Planet+S1) + weekly (S2) acquisition 4 South Soudan (2017)
CV4A Kenya 2020 Sentinel-2 10m Bi-monthly acquisition 7 Kenya (2019)
Pixel-Set dataset 2020 Sentinel-2 10m Weekly acquisition 20 France (2017)

Image annotations

Dataset name Year Image source Spatial resolution Temporal resolution Number of classes Acquisition
TreeSatAI-Time-Series 2024 Sentinel-1 + Sentinel-2 10m + 10m Weekly acquisition 20 Germany (2017-2020)
RapidAI4EO Corpus 2023 PlanetFusion + Sentinel-2 3m + 10m 5-days + monthly acquisition 44 (multi-label) Europe (2018-2019)
fMoW-Sentinel 2022 Sentinel-2 10m Irregular acquisition 63 Global (2015-2019)
SEN12-FLOOD 2020 Sentinel-1 + Sentinel-2 10m + 10m Bi-monthly + weekly acquisition 2 African, Iranian and Australian cities (2018-2019)
fMoW-RGB 2018 DigitalGlobe constellation multiple resolutions (0.3m to 3.7m) Irregular acquisition 63 Global (2002-2017)

Regression

Dataset name Year Image source Spatial resolution Temporal resolution Acquisition
CropNet 2024 Sentinel-2 + WRF-HRRR 9km + 9km 14d + 1d & Annual annotation USA (2017-2022)
SICKLE 2024 Landsat-8 + Sentinel-1 + Sentinel-2 30m + 3m + 10m Bi-monthly + 12d + weekly acquistion India (2018-2021)
BioMassters 2023 Sentinel-1 + Sentinel-2 20m + 10m Monthly acquisition & Annual annotation Finland (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 name Year Image source Spatial resolution Temporal resolution Number of classes Acquisition
SeasFire 2023 ERA5, MODIS, ... 27km 8d / Global (2001-2021)
Digital Typhoon 2023 Himawari 5km 60min / Western North Pacific basin (1978-2022)
SEN2DWATER 2023 Sentinel-2 10m Every 2 months / Italy & Spain (2020-2022)
EarthNet2021 2021 Sentinel-2 + mesodynamic models 20m + 1,28km Weekly (S2) + daily / Europe (2016-2020)
CloudCast 2021 Meteosat Second Generation 3km 15min 11 Europe (2017-2018)
MeteoNet 2020 Ground station observations, satellite images, rain radar observations, weather forecasting models and land-sea and relief masks Variable Variable / France (2016-2018)
SEVIR 2020 GOES-16 + NEXRAD 2km + 1km 5min / USA (2017-2019)

Object tracking

Dataset name Year Image source Spatial resolution Temporal resolution Number of classes Acquisition
TMS 2024 Jilin-1 + SkySat + Synthetic 1m 1 frame per second 1 Cities
AIR-MOT 2022 Jilin-1 1m 5 to 10 frame per second 2 Cities
VISO 2021 Jilin-1 1m 10 frame per second 4 Cities
SatSOT 2021 Jilin-1 + SkySat + Carbonite-2 1m 10 to 25 frame per second 4 Cities

Other tasks

Dataset name Year Task Image source Spatial resolution Temporal resolution Acquisition
SSL4EO-L 2023 Pre-training task LandSat-4,5,7,8,9 30m Seasonally acquisition Global
SSL4EO-S12 2023 Pre-training task Sentinel-1 + Sentinel-2 5m + 10m Seasonally acquisition Global
SAT-MTB 2023 Detection, segmentation and object tracking Jilin-1 1m 10 frame per second Cities
TimeMatch 2022 Domain adaptation Sentinel-2 10m Weekly acquisition Austria, Denmark, mid-west France, southern France (2017)
WorldStrat 2022 Super-resolution Spot-6 + Spot-7 + Sentinel-2 1,5m + 1,5m + 10m Weekly (S2) acquisition Global
Jilin-189 2022 Video super-resolution Jilin-1 1m 25 frame per second Cities
SEN12MS-CR-TS 2022 Cloud removal Sentinel-1 + Sentinel-2 10m + 10m Bi-monthly (S1) + weekly (S2) acquisition Global (2018)
NASA Harvest 2022 Field Boundary Detection PlanetScope 3.7m Monthly acquisition & Time-independant annotation Rwanda (2021)
AI4Boundaries 2022 Field boundary detection Sentinel-2 + aerial ortho-photo 10m + 1m Monthly acquisition & Yearly annotation Europe (2019)
Seasonal Contrast 2021 Pre-training task Sentinel-2 10m Seasonally acquisition Global
PROBA-V Super-Resolution 2019 Super-resolution PROBA-V 300m + 100m Daily acquisition Global

Citation

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

1Université Bretagne Sud, IRISA, UMR CNRS 6074, Vannes, France
2Centre 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}} 
}

About

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.