17 datasets found

Yield data from combine harvesters on a sub-field level is used as ground truth data. Yield data from Sentinel-2 satellite imagery is used as input data.

Yield data from combine harvesters on a sub-field level is used as ground truth data. Yield data from Sentinel-2 satellite imagery is used as input data.

Sentinel-2 data

Sentinel-2 imagery dataset for irrigation detection

The So2Sat LCZ42 dataset is a benchmark dataset for global local climate zones classification from Sentinel-2 images.

Change Detection (CD) is an important problem in remote sensing in which our goal is to identify relevant changes in bi-temporal remote sensing images that can help in various...

The Sentinel-2 Imagery dataset provides agriculture imagery for the contiguous U.S. continent from 2017 to 2022.

Sentinel-2 sea ice classification dataset for training a deep learning model to classify polar sea ice as thick/snow-covered, young/thin, or open water.

The CalCrop21 dataset is a georeferenced multi-spectral dataset of satellite imagery and crop labels.

SEN12MS: A curated dataset of georeferenced multi-spectral Sentinel-1/2 imagery for deep learning and data fusion.

BigEarthNet is a large-scale Sentinel-2 dataset collected from a total of 125 Sentinel-2 tiles covering areas of 10 countries in Europe. The dataset was prepared with data from...

The extended RSVQAxBEN dataset is an extension of the RSVQAxBEN dataset, including all the spectral bands of Sentinel-2 images with 10m and 20m spatial resolution.

The RSVQAxBEN dataset is a large-scale benchmark dataset for remote sensing visual question answering, based on the BigEarthNet (BEN) archive and containing 590,326 Sentinel-2...

The RSVQA-LR dataset is a large-scale benchmark dataset for remote sensing visual question answering, constructed using 7 Sentinel-2 tiles acquired over the Netherlands, from...

A dataset for landsurface forecasting task on the African continent, containing Sentinel-2 satellite imagery, weather variables, and topography.

Assessing the environmental impact of the mineral extraction industry plays a critical role in understanding and mitigating the ecological consequences of extractive activities....

The dataset used in this study is Sentinel-2 Level-2A product with atmospherically corrected and orthorectified images.