Sentinel-2 data for land cover/use map**: A review

D Phiri, M Simwanda, S Salekin, VR Nyirenda… - Remote Sensing, 2020 - mdpi.com
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …

A systematic review of local to regional yield forecasting approaches and frequently used data resources

B Schauberger, J Jägermeyr, C Gornott - European Journal of Agronomy, 2020 - Elsevier
Forecasting crop yields, or providing an expectation of ex-ante harvest amounts, is highly
relevant to the whole agricultural production chain. Farmers can adapt their management …

Temporal convolutional neural network for the classification of satellite image time series

C Pelletier, GI Webb, F Petitjean - Remote Sensing, 2019 - mdpi.com
Latest remote sensing sensors are capable of acquiring high spatial and spectral Satellite
Image Time Series (SITS) of the world. These image series are a key component of …

[HTML][HTML] Sentinel-2 cropland map** using pixel-based and object-based time-weighted dynamic time war** analysis

M Belgiu, O Csillik - Remote sensing of environment, 2018 - Elsevier
Efficient methodologies for map** croplands are an essential condition for the
implementation of sustainable agricultural practices and for monitoring crops periodically …

[HTML][HTML] Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various crop** …

P Defourny, S Bontemps, N Bellemans, C Cara… - Remote sensing of …, 2019 - Elsevier
The convergence of new EO data flows, new methodological developments and cloud
computing infrastructure calls for a paradigm shift in operational agriculture monitoring. The …

Self-attention for raw optical satellite time series classification

M Rußwurm, M Körner - ISPRS journal of photogrammetry and remote …, 2020 - Elsevier
The amount of available Earth observation data has increased dramatically in recent years.
Efficiently making use of the entire body of information is a current challenge in remote …

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

F Vuolo, M Neuwirth, M Immitzer, C Atzberger… - International journal of …, 2018 - Elsevier
The Sentinel-2 mission of the ESA's Copernicus programme is generating unprecedented
volumes of data at high spatial, spectral and temporal resolutions. The objective of this short …

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

C Pelletier, S Valero, J Inglada, N Champion… - Remote Sensing of …, 2016 - Elsevier
New remote sensing sensors will acquire High spectral, spatial and temporal Resolution
Satellite Image Time Series (HR-SITS). These new data are of great interest to map land …

[HTML][HTML] A comparison of global agricultural monitoring systems and current gaps

S Fritz, L See, JCL Bayas, F Waldner, D Jacques… - Agricultural systems, 2019 - Elsevier
Global and regional scale agricultural monitoring systems aim to provide up-to-date
information regarding food production to different actors and decision makers in support of …

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

N You, J Dong - ISPRS Journal of Photogrammetry and Remote …, 2020 - Elsevier
Timely and accurate information on crop planting areas is critical for estimating crop
production, and earlier crop map** can benefit decision-making related to crop insurance …