From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

Grassland Mowing Detection Using Sentinel-1 Time Series: Potential and Limitations

(2021) Mathilde De Vroey et al.   Remote Sensing

Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data

(2021) Amal Chakhar et al.   Remote Sensing

The 10-m crop type maps in Northeast China during 2017–2019

(2021) Nanshan You et al.   Scientific Data

The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities

(2021) Matthias Schramm et al.   Remote Sensing

Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe

(2021) Feng Tian et al.   REMOTE SENSING OF ENVIRONMENT

Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine

(2020) Nanshan You et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series

(2020) Raphaël d’Andrimont et al.   REMOTE SENSING OF ENVIRONMENT

Spatial and semantic effects of LUCAS samples on fully automated land use/land cover classification in high-resolution Sentinel-2 data

(2020) Matthias Weigand et al.   International Journal of Applied Earth Observation and Geoinformation

The scale dependency of spatial crop species diversity and its relation to temporal diversity

(2020) Fernando Aramburu Merlos et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Crop Type Classification Using Fusion of Sentinel-1 and Sentinel-2 Data: Assessing the Impact of Feature Selection, Optical Data Availability, and Parcel Sizes on the Accuracies

(2020) Aiym Orynbaikyzy et al.   Remote Sensing

Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union

(2020) Raphaël d’Andrimont et al.   Scientific Data

Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive

(2020) Sherrie Wang et al.   Scientific Data

Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2

(2020) Michele Meroni et al.   REMOTE SENSING OF ENVIRONMENT

Multi-Temporal SAR Data Large-Scale Crop Mapping Based on U-Net Model

(2019) Sisi Wei et al.   Remote Sensing

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

(2019) Sherrie Wang et al.   REMOTE SENSING OF ENVIRONMENT

Application of the Symbolic Machine Learning to Copernicus VHR Imagery: The European Settlement Map

(2019) C. Corbane et al.   IEEE Geoscience and Remote Sensing Letters

A versatile data-intensive computing platform for information retrieval from big geospatial data

(2018) P. Soille et al.   Future Generation Computer Systems-The International Journal of eScience

Crop-type mapping from a sequence of Sentinel 1 images

(2018) Benson Kipkemboi Kenduiywo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

(2018) Mariana Belgiu et al.   REMOTE SENSING OF ENVIRONMENT

Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery

(2018) Nataliia Kussul et al.   European Journal of Remote Sensing

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

(2018) Pardhasaradhi Teluguntla et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Crop Classification Method Integrating GF-3 PolSAR and Sentinel-2A Optical Data in the Dongting Lake Basin

(2018) Han Gao et al.   SENSORS

Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France

(2018) Emile Ndikumana et al.   Remote Sensing

Targeted Grassland Monitoring at Parcel Level Using Sentinels, Street-Level Images and Field Observations

(2018) Raphaël d’Andrimont et al.   Remote Sensing

The European crop monitoring and yield forecasting system: Celebrating 25 years of JRC MARS Bulletins

(2018) M. van der Velde et al.   AGRICULTURAL SYSTEMS

Integrating cloud-based workflows in continental-scale cropland extent classification

(2018) Richard Massey et al.   REMOTE SENSING OF ENVIRONMENT

Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium

(2018) Kristof Van Tricht et al.   Remote Sensing

Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey

(2018) Dirk Pflugmacher et al.   REMOTE SENSING OF ENVIRONMENT

Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

(2018) Pierre Defourny et al.   REMOTE SENSING OF ENVIRONMENT

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters

Mapping rice areas with Sentinel-1 time series and superpixel segmentation

(2017) K. Clauss et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications

(2017) Amanda Veloso et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series

(2017) Jordi Inglada et al.   Remote Sensing

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

High-resolution mapping of global surface water and its long-term changes

(2016) Jean-François Pekel et al.   NATURE

Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas

(2016) Charlotte Pelletier et al.   REMOTE SENSING OF ENVIRONMENT

A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data

(2016) Benjamin Mack et al.   Remote Sensing Letters

Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands

(2016) Tanel Tamm et al.   Remote Sensing

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

(2016) Markus Immitzer et al.   Remote Sensing

A look inside the Pl@ntNet experience

(2015) Alexis Joly et al.   MULTIMEDIA SYSTEMS

Estimating area and map accuracy for stratified random sampling when the strata are different from the map classes

(2014) Stephen V. Stehman   INTERNATIONAL JOURNAL OF REMOTE SENSING

Good practices for estimating area and assessing accuracy of land change

(2014) Pontus Olofsson et al.   REMOTE SENSING OF ENVIRONMENT

Flattening Gamma: Radiometric Terrain Correction for SAR Imagery

(2011) David Small   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Using CORINE land cover and the point survey LUCAS for area estimation

(2008) Javier Gallego et al.   International Journal of Applied Earth Observation and Geoinformation