Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data
The study of climate change has become an important topic because of its negative impact on human life. The North-East African part lacks the studies for climate change detection, despite it being one of the most affected parts worldwide. The relationship between the emission of greenhouse gases (GH...
Saved in:
Main Authors: | Sara Ibrahim, Ibrahim Ziedan, Ayman Ahmed |
---|---|
Format: | article |
Language: | EN |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/321dd4f8adb74ec7ae69c48ecfbf3f93 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Simulation Experiment on In-Situ Observation of Short-Wavelength Scale Dynamic Processes and Potential Applications to Wide-Swath Interferometric Altimetry Validation
by: Chen Wang, et al.
Published: (2021) -
Soil Moisture Active/Passive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration Revisit: Approach and Performance
by: Jinzheng Peng, et al.
Published: (2021) -
Hyperspectral Unmixing Based on Spectral and Sparse Deep Convolutional Neural Networks
by: Lulu Wan, et al.
Published: (2021) -
Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery
by: Gillian Milani, et al.
Published: (2020) -
STransFuse: Fusing Swin Transformer and Convolutional Neural Network for Remote Sensing Image Semantic Segmentation
by: Liang Gao, et al.
Published: (2021)