Deep learning in environmental remote sensing: Achievements and challenges
Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …
environmental remote sensing research. With an increasing amount of “big data” from earth …
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
River sedimentation is an important indicator for ecological and geomorphological
assessments of soil erosion within any watershed region. Sediment transport in a river basin …
assessments of soil erosion within any watershed region. Sediment transport in a river basin …
The effects of projected climate change and extreme climate on maize and rice in the Yangtze River Basin, China
Abstract crop yield is highly sensitive to climate change and extreme climate. Here, the
impact of climate change and extreme climate was assessed based on the climate variable …
impact of climate change and extreme climate was assessed based on the climate variable …
Climate change impact on photovoltaic power potential in China based on CMIP6 models
China has the largest worldwide cumulative installed photovoltaic (PV) capacity, which is
expected to be 1300 GW in 2050. Industrial production, population explosion and fossil fuel …
expected to be 1300 GW in 2050. Industrial production, population explosion and fossil fuel …
[HTML][HTML] Performance of MODIS Collection 6.1 Level 3 aerosol products in spatial-temporal variations over land
This study evaluates the long-term Terra and Aqua Moderate Resolution Imaging
Spectroradiometer (MODIS) Collection 6.1 (C6. 1) Level 3 atmospheric aerosol products …
Spectroradiometer (MODIS) Collection 6.1 (C6. 1) Level 3 atmospheric aerosol products …
Quantitative soil wind erosion potential map** for Central Asia using the Google Earth Engine platform
A lack of long-term soil wind erosion data impedes sustainable land management in
develo** regions, especially in Central Asia (CA). Compared with large-scale field …
develo** regions, especially in Central Asia (CA). Compared with large-scale field …
Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces
In this study, we evaluated the performance of the Moderate Resolution Imaging
Spectroradiometer (MODIS) Collection 6.1 (C6. 1) aerosol optical depth (AOD) products and …
Spectroradiometer (MODIS) Collection 6.1 (C6. 1) aerosol optical depth (AOD) products and …
Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks
The present work deals with the application of coevolutionary algorithms and artificial neural
networks to perform input selection and related parameter estimation for nonlinear black-box …
networks to perform input selection and related parameter estimation for nonlinear black-box …
Satellite-derived spatiotemporal PM2. 5 concentrations and variations from 2006 to 2017 in China
W Xue, J Zhang, C Zhong, D Ji, W Huang - Science of the Total …, 2020 - Elsevier
The PM 2.5 concentration is an important evaluation index for the global Sustainable
Development Goals (SDGs) for its negative impacts on human health. Last decade, several …
Development Goals (SDGs) for its negative impacts on human health. Last decade, several …
Accuracy, stability, and continuity of AVHRR, SeaWiFS, MODIS, and VIIRS deep blue long-term land aerosol retrieval in Asia
The deep blue (DB) aerosol algorithm applied to four satellite instruments, AVHRR,
SeaWiFS, MODIS, and VIIRS, produced a long-term aerosol data set since 1989. This study …
SeaWiFS, MODIS, and VIIRS, produced a long-term aerosol data set since 1989. This study …