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Deep learning for satellite image time-series analysis: A review
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 …
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
Rapid population growth, climate change, limited natural resources, and the COVID-19
pandemic contribute to increased global hunger, necessitating intensive efforts to ensure …
pandemic contribute to increased global hunger, necessitating intensive efforts to ensure …
Smart agriculture–Urgent need of the day in develo** countries
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 …
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 …
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
The application of last-generation spatial data modelling, integrating Earth Observation,
population, economic and other spatially explicit data, enables insights into the sustainability …
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
Crop yield monitoring is an important component in agricultural assessment. Multi-spectral
remote sensing instruments onboard space-borne platforms such as Advanced Very High …
remote sensing instruments onboard space-borne platforms such as Advanced Very High …
Earth observation and artificial intelligence: Understanding emerging ethical issues and opportunities
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 …
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
Essential climate variables (ECVs) have been recognized as crucial information for
achieving Sustainable Development Goals (SDGs). There is an agreement on 54 ECVs to …
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
Abstract The Russian-Ukrainian War, ongoing since 2014, impacts an area containing
Emerald Network environmental-protection sites created through the implementation of the …
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
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 …
data. However, they face challenges due to imbalanced real-world data distributions of land …