Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products
MO Román, C Justice, I Paynter, PB Boucher… - Remote Sensing of …, 2024 - Elsevier
This paper provides a review and summary status of the research underway by the NASA
Terra Aqua Suomi-NPP Land Discipline Team to provide continuity of global land data …
Terra Aqua Suomi-NPP Land Discipline Team to provide continuity of global land data …
First estimation of high-resolution solar photovoltaic resource maps over China with Fengyun-4A satellite and machine learning
Abstract Fengyun-4A (FY-4A), which is the latest-generation Chinese geostationary
meteorological satellite, measures solar reflection and thermal emission with high temporal …
meteorological satellite, measures solar reflection and thermal emission with high temporal …
Surface Solar Radiation Compositions Observed from Himawari-8 / 9 and Fengyun-4 Series
H Letu, R Ma, TY Nakajima, C Shi… - Bulletin of the …, 2023 - journals.ametsoc.org
Surface downward solar radiation compositions (SSRC), including photosynthetically active
radiation (PAR), ultraviolet-A (UVA), ultraviolet-B (UVB), and shortwave radiation (SWR) …
radiation (PAR), ultraviolet-A (UVA), ultraviolet-B (UVB), and shortwave radiation (SWR) …
[HTML][HTML] Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data
Land surface temperature (LST) plays a dominant role in the surface energy budget (SEB)
and hydrological cycling. Thermal infrared (TIR) remote sensing is the primary method of …
and hydrological cycling. Thermal infrared (TIR) remote sensing is the primary method of …
[HTML][HTML] Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning
Solar forecasting from ground-based sky images has shown great promise in reducing the
uncertainty in solar power generation. With more and more sky image datasets available in …
uncertainty in solar power generation. With more and more sky image datasets available in …
Reconstructing 10-km-resolution direct normal irradiance dataset through a hybrid algorithm
Evaluating, mapping, and monitoring high-quality Direct Normal Irradiance (DNI) is crucial
for the design, financing, and operation of solar power plants, especially those utilizing …
for the design, financing, and operation of solar power plants, especially those utilizing …
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?
Solar forecasting from ground-based sky images has shown great promise in reducing the
uncertainty in solar power generation. With more and more sky image datasets open …
uncertainty in solar power generation. With more and more sky image datasets open …
A review and comparison of surface incident shortwave radiation from multiple data sources: satellite retrievals, reanalysis data and GCM simulations
S Yang, X Zhang, S Guan, W Zhao, Y Duan… - … Journal of Digital …, 2023 - Taylor & Francis
Surface incident shortwave radiation (Rs) can promote the circulation of substance and
energy, and the accuracy of its estimation is of great significance for climate studies. The Rs …
energy, and the accuracy of its estimation is of great significance for climate studies. The Rs …
[HTML][HTML] A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation
Surface downward shortwave radiation (DSR) and photosynthetically active radiation (PAR)
play critical roles in the Earth's surface processes. As the main inputs of various ecological …
play critical roles in the Earth's surface processes. As the main inputs of various ecological …
Estimating crop leaf area index and chlorophyll content using a deep learning-based hyperspectral analysis method
The crop leaf area index (LAI) and leaf chlorophyll content (LCC) are essential indicators
that reflect crop growth status, and their accurate estimation is helpful for agricultural …
that reflect crop growth status, and their accurate estimation is helpful for agricultural …