An overview of the applications of earth observation satellite data: impacts and future trends
As satellite observation technology develops and the number of Earth observation (EO)
satellites increases, satellite observations have become essential to developments in the …
satellites increases, satellite observations have become essential to developments in the …
Detecting, extracting, and monitoring surface water from space using optical sensors: A review
Observation of surface water is a functional requirement for studying ecological and
hydrological processes. Recent advances in satellite‐based optical remote sensors have …
hydrological processes. Recent advances in satellite‐based optical remote sensors have …
Global prevalence of non-perennial rivers and streams
Flowing waters have a unique role in supporting global biodiversity, biogeochemical cycles
and human societies,,,–. Although the importance of permanent watercourses is well …
and human societies,,,–. Although the importance of permanent watercourses is well …
Convolutional neural networks for multimodal remote sensing data classification
In recent years, enormous research has been made to improve the classification
performance of single-modal remote sensing (RS) data. However, with the ever-growing …
performance of single-modal remote sensing (RS) data. However, with the ever-growing …
Multimodal fusion transformer for remote sensing image classification
Vision transformers (ViTs) have been trending in image classification tasks due to their
promising performance when compared with convolutional neural networks (CNNs). As a …
promising performance when compared with convolutional neural networks (CNNs). As a …
China's future food demand and its implications for trade and environment
Satisfying China's food demand without harming the environment is one of the greatest
sustainability challenges for the coming decades. Here we provide a comprehensive …
sustainability challenges for the coming decades. Here we provide a comprehensive …
Spectral–spatial morphological attention transformer for hyperspectral image classification
In recent years, convolutional neural networks (CNNs) have drawn significant attention for
the classification of hyperspectral images (HSIs). Due to their self-attention mechanism, the …
the classification of hyperspectral images (HSIs). Due to their self-attention mechanism, the …
[HTML][HTML] The Canadian earth system model version 5 (CanESM5. 0.3)
Abstract The Canadian Earth System Model version 5 (CanESM5) is a global model
developed to simulate historical climate change and variability, to make centennial-scale …
developed to simulate historical climate change and variability, to make centennial-scale …
More than 1000 rivers account for 80% of global riverine plastic emissions into the ocean
LJJ Meijer, T Van Emmerik, R Van Der Ent… - Science …, 2021 - science.org
Plastic waste increasingly accumulates in the marine environment, but data on the
distribution and quantification of riverine sources required for development of effective …
distribution and quantification of riverine sources required for development of effective …
Global land change from 1982 to 2016
Land change is a cause and consequence of global environmental change,. Changes in
land use and land cover considerably alter the Earth's energy balance and biogeochemical …
land use and land cover considerably alter the Earth's energy balance and biogeochemical …