A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning

2 April 2022

Papers citing "A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning"

7 / 7 papers shown

Title
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery Pratinav Seth Michelle Lin Brefo Dwamena Yaw Jade Boutot Mary Kang David Rolnick 33 0 0 11 Oct 2024
CaBuAr: California Burned Areas dataset for delineation Daniele Rege Cambrin Luca Colomba Paolo Garza 24 7 0 21 Jan 2024
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture Brandon Victor Zhen He Aiden Nibali 30 9 0 03 Oct 2022
Towards Space-to-Ground Data Availability for Agriculture Monitoring George Choumos Alkiviadis Koukos Vasileios Sitokonstantinou C. Kontoes 43 5 0 16 May 2022
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks Vivien Sainte Fare Garnot Loic Landrieu AI4TS 71 150 0 16 Jul 2021
Crop mapping from image time series: deep learning with multi-scale label hierarchies Mehmet Özgür Türkoglu Stefano Dáronco Gregor Perich F. Liebisch Constantin Streit Konrad Schindler Jan Dirk Wegner 87 129 0 17 Feb 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015