Results 41 to 50 of about 512 (183)

A Simplified Coastline Inflection Method for Correcting Geolocation Errors in FengYun-3D Microwave Radiation Imager Images

open access: yesRemote Sensing, 2023
Passive microwave (PMW) sensors are popularly applied to Earth observations. However, the satellite PMW radiometer data sometimes have non-negligible errors in geolocation. Coastline inflection methods (CIMs) are widely used to improve geolocation errors
Zhuoqi Chen   +7 more
doaj   +1 more source

Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning

open access: yesRemote Sensing, 2021
Accurate high spatial resolution snow depth mapping in arid and semi-arid regions is of great importance for snow disaster assessment and hydrological modeling.
Linglong Zhu   +7 more
doaj   +1 more source

Low-cost natural wastewater treatment technologies in rural communities using Instream Wetland, Moringa Oleifera, and Aeration Weirs – A comparative study

open access: yesCogent Engineering, 2020
Low-cost natural wastewater treatment technologies are very useful in developing communities that lacks investment and technologies. Wetland technologies prove excellent results for wastewater treatment.
Rasha El Gohary
doaj   +1 more source

Effect of Region Subdividing on Water and Salt Balance Evaluation in Eastern Nile Delta [PDF]

open access: yesThe Egyptian International Journal of Engineering Sciences and Technology, 2015
The main objectives of the study aim at optimal exploitation of the water resourcesin Eastern Nile Delta region. Until now, the Ministry of Water Resources andIrrigation (MWRI) is managing water resources and the irrigation system by itselfwith high ...
A Khorshedb   +3 more
doaj   +1 more source

Stochastic assessment of generated energy under divergent GERD’s operation policies

open access: yesJournal of Engineering and Applied Science
As claimed by the Ethiopian, GERD main purpose is to generate electricity. Technically, hydropower plant operates to maximise the energy generated regardless of its reliability; or secure targeted amount of electricity that the plant can provide over a ...
Rameen Abdelhady   +3 more
doaj   +1 more source

Cross-calibration between MWRI and AMSR2 to improve consistency of snow depth products

open access: yesResearch in Cold and Arid Regions
The Microwave Radiation Imager (MWRI), boarded on the FY-3 series satellites: FY-3B, FY-3C, and FY-3D, is the first satellite-based microwave radiometer in China, commencing passive microwave brightness temperature data acquisition since 2010.
SiYu Wei, LiYun Dai, LiJuan Ma, Tao Che
doaj   +1 more source

Enhanced Retrieval of Spring Snow Depth Over Pan‐Arctic Sea Ice From AMSR2 Observations for 2013–2023 Using Multi‐Model Machine Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou   +6 more
wiley   +1 more source

Responsive High Aswan Dam operational model: Dynamic Reservoir System Configuration

open access: yesJournal of Engineering and Applied Science
Since the start of the Grand Ethiopian Renaissance Dam (GERD) filling, the operation of the High Aswan Dam (HAD) reservoir has been subject to substantial uncertainty, particularly with respect to forecasting inflows into Lake Nasser.
Rameen Abdelhady   +2 more
doaj   +1 more source

Greenland and Antarctic Ice Sheets Surface Melt Product derived from FY-3 MWRI (2011-2022)

open access: yes, 2023
Two ice sheets (Greenland Ice Sheet & Antarctic Ice Sheet) surface melt states derived from the Chinese FY-3 MWRI brightness temperature dataset from 2011 to 2022 (Geotiff).
Ziqian Zhang (13443495)
core   +1 more source

Precipitation Retrieval From Fengyun-3D MWHTS and MWRI Data Using Deep Learning

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
In this article, two multitask deep learning models, multilayer perceptron (MLP) and convolutional neural networks (CNNs) are constructed to detect precipitation flags and retrieve precipitation rates simultaneously over the Northwest Pacific area. The retrieval results are verified by integrated multisatellite retrievals for GPM. Compared with using a
Kangwen Liu   +2 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy