Investigating operational country-level crop monitoring with Sentinel~1 and~2 imagery

Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine

(2021) Jarrett Adrian et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil

(2021) Luan Pierre Pott et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

Deeply synergistic optical and SAR time series for crop dynamic monitoring

(2020) Wenzhi Zhao et al.   REMOTE SENSING OF ENVIRONMENT

DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

(2020) Jinfan Xu et al.   REMOTE SENSING OF ENVIRONMENT

Mapping crops within the growing season across the United States

(2020) Venkata Shashank Konduri et al.   REMOTE SENSING OF ENVIRONMENT

Evaluation of different approaches to the fusion of Sentinel -1 SAR data and Resourcesat 2 LISS III optical data for use in crop classification

(2020) Neetu et al.   Remote Sensing Letters

Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure

(2019) Louis Baetens et al.   Remote Sensing

A Copernicus Sentinel-1 and Sentinel-2 Classification Framework for the 2020+ European Common Agricultural Policy: A Case Study in València (Spain)

(2019) Campos-Taberner et al.   Agronomy-Basel

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

Time-series classification of Sentinel-1 agricultural data over North Dakota

(2018) Tracy Whelen et al.   Remote Sensing Letters

Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy

(2018) Vasileios Sitokonstantinou et al.   Remote Sensing

3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images

(2018) Shunping Ji et al.   Remote Sensing

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

(2018) Marc Rußwurm et al.   ISPRS International Journal of Geo-Information

Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping

(2018) Patrick Griffiths 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

Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks

(2017) Dino Ienco et al.   IEEE Geoscience and Remote Sensing Letters

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

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

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

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

(2017) Jordi Inglada et al.   Remote Sensing