Remote sensing of diverse urban environments: From the single city to multiple cities

G Chen, Y Zhou, JA Voogt, EC Stokes - Remote Sensing of Environment, 2024 - Elsevier
Remote sensing of urban environments has unveiled a significant shift from single-city
investigations to the inclusion of multiple cities. Originated from the ideas of the Remote …

Deep learning for satellite image time-series analysis: A review

L Miller, C Pelletier, GI Webb - IEEE Geoscience and Remote …, 2024 - ieeexplore.ieee.org
Earth observation (EO) satellite missions have been providing detailed images about the
state of Earth and its land cover for over 50 years. Long-term missions, such as those of …

Change in observed long-term greening across Switzerland–evidence from a three decades NDVI time-series and its relationship with climate and land cover factors

C Obuchowicz, C Poussin, G Giuliani - Big Earth Data, 2024 - Taylor & Francis
Environmental changes are significantly modifying terrestrial vegetation dynamics, with
serious consequences on Earth system functioning and provision of ecosystem services …

The floodplain inundation history of the Murray-Darling Basin through two-monthly maximum water depth maps

DJ Penton, J Teng, C Ticehurst, S Marvanek… - Scientific Data, 2023 - nature.com
With growing concerns over water management in rivers worldwide, researchers are
seeking innovative solutions to monitor and understand changing flood patterns. In a …

Synergistic use of earth observation driven techniques to support the implementation of water framework directive in europe: a review

N Samarinas, M Spiliotopoulos, N Tziolas, A Loukas - Remote Sensing, 2023 - mdpi.com
The development of a sustainable water quality monitoring system at national scale remains
a big challenge until today, acting as a hindrance for the efficient implementation of the …

Time-first approach for land cover map** using big Earth observation data time-series in a data cube–a case study from the Lake Geneva region (Switzerland)

G Giuliani - Big Earth Data, 2024 - Taylor & Francis
Accurate, consistent, and high-resolution Land Use & Cover (LUC) information is
fundamental for effectively monitoring landscape dynamics and better apprehending drivers …

[HTML][HTML] Soil data cube and artificial intelligence techniques for generating national-scale topsoil thematic maps: a case study in lithuanian croplands

N Samarinas, NL Tsakiridis, S Kokkas, E Kalopesa… - Remote Sensing, 2023 - mdpi.com
There is a growing realization among policymakers that in order to pave the way for the
development of evidence-based conservation recommendations for policy, it is essential to …

GEOSatDB: global civil earth observation satellite semantic database

M Lin, M **, J Li, Y Bai - Big Earth Data, 2024 - Taylor & Francis
Satellite remote sensing, characterized by extensive coverage, frequent revisits, and
continuous monitoring, provides essential data support for addressing global challenges …

[HTML][HTML] Monitoring and Prediction of Land Surface Phenology Using Satellite Earth Observations—A Brief Review

M Gašparović, I Pilaš, D Radočaj, D Dobrinić - Applied Sciences, 2024 - mdpi.com
Monitoring and predicting land surface phenology (LSP) are essential for understanding
ecosystem dynamics, climate change impacts, and forest and agricultural productivity …

[HTML][HTML] NDVI or PPI: A (Quick) Comparison for Vegetation Dynamics Monitoring in Mountainous Area

D Charrière, L Francon, G Giuliani - Remote Sensing, 2024 - mdpi.com
Cold ecosystems are experiencing a warming rate that is twice as fast as the global average
and are particularly vulnerable to the consequences of climate change. In mountain …