The PRISMA imaging spectroscopy mission: overview and first performance analysis

S Cogliati, F Sarti, L Chiarantini, M Cosi… - Remote sensing of …, 2021 - Elsevier
The PRISMA satellite mission launched on March 22 nd, 2019 is one of the latest
spaceborne imaging spectroscopy mission for Earth Observation. The PRISMA satellite …

Air temperature forecasting using machine learning techniques: a review

J Cifuentes, G Marulanda, A Bello, J Reneses - Energies, 2020 - mdpi.com
Efforts to understand the influence of historical climate change, at global and regional levels,
have been increasing over the past decade. In particular, the estimates of air temperatures …

Climate change reduces extent of temperate drylands and intensifies drought in deep soils

DR Schlaepfer, JB Bradford, WK Lauenroth… - Nature …, 2017 - nature.com
Drylands cover 40% of the global terrestrial surface and provide important ecosystem
services. While drylands as a whole are expected to increase in extent and aridity in coming …

Empirical estimate of forestation-induced precipitation changes in Europe

R Meier, J Schwaab, SI Seneviratne, M Sprenger… - Nature …, 2021 - nature.com
Land-cover changes can affect the climate by altering the water and energy balance of the
land surface. Numerous modelling studies have indicated that alterations at the land surface …

Estimation of terrestrial global gross primary production (GPP) with satellite data-driven models and eddy covariance flux data

J Joiner, Y Yoshida, Y Zhang, G Duveiller, M Jung… - Remote Sensing, 2018 - mdpi.com
We estimate global terrestrial gross primary production (GPP) based on models that use
satellite data within a simplified light-use efficiency framework that does not rely upon other …

[HTML][HTML] Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and-2 time series

R d'Andrimont, M Taymans, G Lemoine… - Remote sensing of …, 2020 - Elsevier
A novel methodology is proposed to robustly map oil seed rape (OSR) flowering phenology
from time series generated from the Copernicus Sentinel-1 (S1) and Sentinel-2 (S2) …

A global dataset of air temperature derived from satellite remote sensing and weather stations

J Hooker, G Duveiller, A Cescatti - Scientific data, 2018 - nature.com
Air temperature at 2 m above the land surface is a key variable used to assess climate
change. However, observations of air temperature are typically only available from a limited …

The integrated hydrologic model intercomparison project, IH‐MIP2: A second set of benchmark results to diagnose integrated hydrology and feedbacks

S Kollet, M Sulis, RM Maxwell… - Water Resources …, 2017 - Wiley Online Library
Emphasizing the physical intricacies of integrated hydrology and feedbacks in simulating
connected, variably saturated groundwater‐surface water systems, the Integrated …

A spatially downscaled sun-induced fluorescence global product for enhanced monitoring of vegetation productivity

G Duveiller, F Filipponi, S Walther… - Earth System …, 2020 - essd.copernicus.org
Sun-induced chlorophyll fluorescence (SIF) retrieved from satellite spectrometers can be a
highly valuable proxy for photosynthesis. The SIF signal is very small and notoriously difficult …

[HTML][HTML] Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering

L McMillan, J Fayaz, L Varga - Sustainable Cities and Society, 2023 - Elsevier
Reducing pipe leakage is one of the top priorities for water companies, with many investing
in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most …