Urban Sprawl and COVID-19 Impact Analysis by Integrating Deep Learning with Google Earth Engine
Timely information on land use, vegetation coverage, and air and water quality, are crucial for monitoring and managing territories, especially for areas in which there is dynamic urban expansion. However, getting accessible, accurate, and reliable information is not an easy task, since the signific...
Main Authors: | Chiara Zarro, Daniele Cerra, Stefan Auer, Silvia Liberata Ullo, Peter Reinartz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/9/2038 |
Similar Items
-
Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers
by: Alexander W. Jacob, et al.
Published: (2020-01-01) -
Quantifying the Impacts of the 2020 Flood on Crop Production and Food Security in the Middle Reaches of the Yangtze River, China
by: Liang-Chen Wang, et al.
Published: (2022-06-01) -
A Near Real-Time Mapping of Tropical Forest Disturbance Using SAR and Semantic Segmentation in Google Earth Engine
by: John Burns Kilbride, et al.
Published: (2023-11-01) -
Monitoring of displacements and deformations of the earth’s surface near the Stebnyk city using radar images of Sentinel-1
by: Ihor Trevoho, et al.
Published: (2020-06-01) -
Observation of Maritime Traffic Interruption in Patagonia during the COVID-19 Lockdown Using Copernicus Sentinel-1 Data and Google Earth Engine
by: Cristina Rodríguez-Benito, et al.
Published: (2021-03-01)