Remote sensing for precision agriculture: Sentinel-2 improved features and applications

J Segarra, ML Buchaillot, JL Araus, SC Kefauver - Agronomy, 2020 - mdpi.com
The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …

Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

H West, N Quinn, M Horswell - Remote Sensing of Environment, 2019 - Elsevier
Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …

Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based …

LA Brown, C Meier, H Morris, J Pastor-Guzman… - Remote Sensing of …, 2020 - Elsevier
With a growing number of Earth observation (EO) products available through operational
programmes such as the European Union's Copernicus, there is increasing emphasis on …

[HTML][HTML] Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data

J Estévez, M Salinero-Delgado, K Berger… - Remote sensing of …, 2022 - Elsevier
The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …

[HTML][HTML] Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States

LA Brown, R Fernandes, N Djamai, C Meier… - ISPRS Journal of …, 2021 - Elsevier
Abstract The Sentinel-2 Level 2 Prototype Processor (SL2P) is made available to users for
the retrieval of vegetation biophysical variables including leaf area index (LAI) from …

Multi-crop green LAI estimation with a new simple Sentinel-2 LAI Index (SeLI)

N Pasqualotto, J Delegido, S Van Wittenberghe… - Sensors, 2019 - mdpi.com
The spatial quantification of green leaf area index (LAIgreen), the total green
photosynthetically active leaf area per ground area, is a crucial biophysical variable for …

Exploitation of sentinel-2 time series to map burned areas at the national level: A case study on the 2017 italy wildfires

F Filipponi - Remote Sensing, 2019 - mdpi.com
Satellite data play a major role in supporting knowledge about fire severity by delivering
rapid information to map fire-damaged areas in a precise and prompt way. The high …

Crop type identification and map** using machine learning algorithms and sentinel-2 time series data

S Feng, J Zhao, T Liu, H Zhang… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
In this paper, the random forests method and the support vector machine in machine
learning are explored and compared to the traditional statistical-based maximum likelihood …

LCIS DSS—An irrigation supporting system for water use efficiency improvement in precision agriculture: A maize case study

A Bonfante, E Monaco, P Manna, R De Mascellis… - Agricultural …, 2019 - Elsevier
The efficient use of water in agriculture is one of the most significant agricultural challenges
that modern technologies are hel** to cope with through Irrigation Advisory Services (IAS) …

Water energy food nexus approach for sustainability assessment at farm level: An experience from an intensive agricultural area in central Italy

S Fabiani, S Vanino, R Napoli, P Nino - Environmental Science & Policy, 2020 - Elsevier
Sustainable management of natural resources under economic, environmental and social
perspective, needs to consider a fair balance between its uses and availability. Sustainable …