Crop Type Mapping from Optical and Radar Time Series Using Attention-Based Deep Learning

Improving Urban Land Cover Classification with Combined Use of Sentinel-2 and Sentinel-1 Imagery

(2021) Bin Hu et al.   ISPRS International Journal of Geo-Information

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

(2021) Raphaël d’Andrimont et al.   REMOTE SENSING OF ENVIRONMENT

Integration of Time Series Sentinel-1 and Sentinel-2 Imagery for Crop Type Mapping over Oasis Agricultural Areas

(2020) Luyi Sun et al.   Remote Sensing

Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa

(2020) Mihai A. Tanase et al.   Remote Sensing

Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network

(2020) Chunhua Liao et al.   Remote Sensing

A CNN-RNN Framework for Crop Yield Prediction

(2020) Saeed Khaki et al.   Frontiers in Plant Science

Integration of Sentinel-1 and Sentinel-2 Data for Land Cover Mapping Using W-Net

(2020) Massimiliano Gargiulo et al.   SENSORS

Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images

(2020) Jie Wang et al.   REMOTE SENSING OF ENVIRONMENT

Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences

(2020) Jorge Andres Chamorro Martinez et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

(2019) Charlotte Pelletier et al.   Remote Sensing

Exploiting Time Series of Sentinel-1 and Sentinel-2 Imagery to Detect Meadow Phenology in Mountain Regions

(2019) Laura Stendardi et al.   Remote Sensing

Integration of Sentinel-1 and Sentinel-2 for Classification and LULC Mapping in the Urban Area of Belém, Eastern Brazilian Amazon

(2019) Paulo Tavares et al.   SENSORS

DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn

(2019) Roberto Interdonato et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass

(2019) Martin Sudmanns et al.   International Journal of Digital Earth

Ratio-Based Multitemporal SAR Images Denoising: RABASAR

(2019) Weiying Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Soil Texture Estimation Using Radar and Optical Data from Sentinel-1 and Sentinel-2

(2019) Safa Bousbih 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

High resolution wheat yield mapping using Sentinel-2

(2019) Merryn L. Hunt et al.   REMOTE SENSING OF ENVIRONMENT

Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture

(2019) Dino Ienco et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Land-cover classification with high-resolution remote sensing images using transferable deep models

(2019) Xin-Yi Tong et al.   REMOTE SENSING OF ENVIRONMENT

Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1

(2018) Dinh Ho Tong Minh et al.   IEEE Geoscience and Remote Sensing Letters

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

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

How much does multi-temporal Sentinel-2 data improve crop type classification?

(2018) Francesco Vuolo et al.   International Journal of Applied Earth Observation and Geoinformation

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

(2018) Emile Ndikumana et al.   Remote Sensing

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

Evaluation of Using Sentinel-1 and -2 Time-Series to Identify Winter Land Use in Agricultural Landscapes

(2018) Julien Denize et al.   Remote Sensing

Deep learning based multi-temporal crop classification

(2018) Liheng Zhong 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

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

Responses of crop yield growth to global temperature and socioeconomic changes

(2017) Toshichika Iizumi et al.   Scientific Reports

Assessment of Sentinel-1A data for rice crop classification using random forests and support vector machines

(2017) Nguyen-Thanh Son et al.   Geocarto International

Detection of Irrigated Crops from Sentinel-1 and Sentinel-2 Data to Estimate Seasonal Groundwater Use in South India

(2017) Sylvain Ferrant et al.   Remote Sensing

Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas

(2017) Mohammad El Hajj 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

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

Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series

(2016) Jordi Inglada et al.   Remote Sensing

Multimodal Classification of Remote Sensing Images: A Review and Future Directions

(2015) Luis Gomez-Chova et al.   PROCEEDINGS OF THE IEEE

Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing

(2015) M. Dalla Mura et al.   PROCEEDINGS OF THE IEEE

Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery

(2015) Jordi Inglada et al.   Remote Sensing

Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa

(2014) Gerald Forkuor et al.   Remote Sensing

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING