Editorial for the Special Issue “Disaster Monitoring Using Remote Sensing”
Author:
Affiliation:
1. Department of Geography, Kyung Hee University, Seoul 02447, Republic of Korea
2. School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Republic of Korea
Abstract
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
https://www.mdpi.com/2072-4292/15/3/751/pdf
Reference7 articles.
1. Schwarz, I., and Kuleshov, Y. (2022). Flood Vulnerability Assessment and Mapping: A Case Study for Australia’s Hawkesbury-Nepean Catchment. Remote Sens., 14.
2. Han, Y., Wang, P., Zheng, Y., Yasir, M., Xu, C., Nazir, S., Hossain, M.S., Ullah, S., and Khan, S. (2022). Extraction of Landslide Information Based on Object-Oriented Approach and Cause Analysis in Shuicheng, China. Remote Sens., 14.
3. Ha, S., Son, M., and Seong, Y.B. (2022). Active Fault Trace Identification Using a LiDAR High-Resolution DEM: A Case Study of the Central Yangsan Fault, Korea. Remote Sens., 14.
4. Wang, Q., Zhao, L., Wang, M., Wu, J., Zhou, W., Zhang, Q., and Deng, M. (2022). A Random Forest Model for Drought: Monitoring and Validation for Grassland Drought Based on Multi-Source Remote Sensing Data. Remote Sens., 14.
5. Hwang, Y.-S., Schlüter, S., and Um, J.-S. (2022). Spatial Cross-Correlation of GOSAT CO2 Concentration with Repeated HeatWave-Induced Photosynthetic Inhibition in Europe from 2009 to 2017. Remote Sens., 14.
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