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 …

Develo** an analytical framework for estimating food security indicators in the United Arab Emirates: A review

KA Ammar, AMS Kheir, BM Ali, B Sundarakani… - Environment …, 2024 - Springer
Rapid population growth, climate change, limited natural resources, and the COVID-19
pandemic contribute to increased global hunger, necessitating intensive efforts to ensure …

Smart agriculture–Urgent need of the day in develo** countries

RK Goel, CS Yadav, S Vishnoi, R Rastogi - … Computing: Informatics and …, 2021 - Elsevier
Smart agriculture is based primarily on three platforms, namely science, innovation and
space technologies. These are considered as the three pioneer pillars of nation building …

Smart farming becomes even smarter with deep learning—a bibliographical analysis

Z Ünal - IEEE access, 2020 - ieeexplore.ieee.org
Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …

[HTML][HTML] Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories

M Schiavina, M Melchiorri, S Freire, P Florio… - Habitat International, 2022 - Elsevier
The application of last-generation spatial data modelling, integrating Earth Observation,
population, economic and other spatially explicit data, enables insights into the sustainability …

Assessing within-field corn and soybean yield variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 satellite imagery

S Skakun, NI Kalecinski, MGL Brown, DM Johnson… - Remote Sensing, 2021 - mdpi.com
Crop yield monitoring is an important component in agricultural assessment. Multi-spectral
remote sensing instruments onboard space-borne platforms such as Advanced Very High …

Earth observation and artificial intelligence: Understanding emerging ethical issues and opportunities

M Kochupillai, M Kahl, M Schmitt… - … and Remote Sensing …, 2022 - ieeexplore.ieee.org
Ethics is a central and growing concern in all applications utilizing artificial intelligence (AI).
Earth observation (EO) and remote sensing (RS) research relies heavily on both big data …

Satellite Earth observation for essential climate variables supporting Sustainable Development Goals: A review on applications

D Ballari, LM Vilches-Blázquez… - Remote Sensing, 2023 - mdpi.com
Essential climate variables (ECVs) have been recognized as crucial information for
achieving Sustainable Development Goals (SDGs). There is an agreement on 54 ECVs to …

Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war

L Shumilo, S Skakun, ML Gore, A Shelestov… - … Earth & Environment, 2023 - nature.com
Abstract The Russian-Ukrainian War, ongoing since 2014, impacts an area containing
Emerald Network environmental-protection sites created through the implementation of the …

Generative adversarial network augmentation for solving the training data imbalance problem in crop classification

L Shumilo, A Okhrimenko, N Kussul, S Drozd… - Remote Sensing …, 2023 - Taylor & Francis
Deep learning models offer great potential for advancing land monitoring using satellite
data. However, they face challenges due to imbalanced real-world data distributions of land …