[HTML][HTML] Climate change: Strategies for mitigation and adaptation
The sustainability of life on Earth is under increasing threat due to human-induced climate
change. This perilous change in the Earth's climate is caused by increases in carbon dioxide …
change. This perilous change in the Earth's climate is caused by increases in carbon dioxide …
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
Soil organic carbon (SOC) is a key variable to determine soil functioning, ecosystem
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …
Remote Sensing for Subsurface and Deeper Oceans: An overview and a future outlook
The oceans are an important component of Earth's system and play a crucial role in climate
change through the coupled atmosphere–ocean process. Observations are fundamental for …
change through the coupled atmosphere–ocean process. Observations are fundamental for …
Super-resolution of subsurface temperature field from remote sensing observations based on machine learning
Subsurface ocean observations are sparse and insufficient, significantly constraining studies
of ocean processes. Retrieving high-resolution subsurface dynamic parameters from remote …
of ocean processes. Retrieving high-resolution subsurface dynamic parameters from remote …
Subsurface temperature reconstruction for the global ocean from 1993 to 2020 using satellite observations and deep learning
The reconstruction of the ocean's 3D thermal structure is essential to the study of ocean
interior processes and global climate change. Satellite remote sensing technology can …
interior processes and global climate change. Satellite remote sensing technology can …
[HTML][HTML] Intertidal seagrass extent from Sentinel-2 time-series show distinct trajectories in Western Europe
Intertidal areas, which emerge during low tide, form a vital link between terrestrial and
marine environments. Seagrasses, a well-studied intertidal habitat, provide a multitude of …
marine environments. Seagrasses, a well-studied intertidal habitat, provide a multitude of …
Robust remote sensing retrieval of key eutrophication indicators in coastal waters based on explainable machine learning
L Zhu, T Cui, A Runa, X Pan, W Zhao, J **ang… - ISPRS Journal of …, 2024 - Elsevier
Excessive discharges of nitrogen and phosphorus nutrients lead to eutrophication in coastal
waters. Optical remote sensing retrieval of the key eutrophication indicators, namely …
waters. Optical remote sensing retrieval of the key eutrophication indicators, namely …
Estimating global 0.1° scale gridded anthropogenic CO2 emissions using TROPOMI NO2 and a data-driven method
Satellite remote sensing is a promising approach for monitoring global CO 2 emissions.
However, existing satellite-based CO 2 observations are too coarse to meet the …
However, existing satellite-based CO 2 observations are too coarse to meet the …
[HTML][HTML] Analyzing large-scale Data Cubes with user-defined algorithms: A cloud-native approach
Recent advances in cloud-based remote sensing platforms have revoluted the routines for
remote sensing big data (RSBD) analysis. However, it is challenging to make user-defined …
remote sensing big data (RSBD) analysis. However, it is challenging to make user-defined …
Reconstructing high-resolution subsurface temperature of the global ocean using deep forest with combined remote sensing and in situ observations
Estimating high-resolution ocean subsurface temperature has great importance for the
refined study of ocean climate variability and change. However, the insufficient resolution …
refined study of ocean climate variability and change. However, the insufficient resolution …