"Can Remote Sensing Technologies Capture the Extreme Precipitation Event ..."

Mengye Chen et al. (2020)

> Home

Details and statistics

DOI: 10.3390/RS12030445

access: open

type: Journal Article

metadata version: 2025-03-03

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/ChenNBGGHKH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/ChenNBGGHKH20
Mengye Chen, Soumaya Nabih, Noah S. Brauer, Shang Gao, Jonathan J. Gourley, Zhen Hong, Randall L. Kolar, Yang Hong:
Can Remote Sensing Technologies Capture the Extreme Precipitation Event and Its Cascading Hydrological Response? A Case Study of Hurricane Harvey Using EF5 Modeling Framework. Remote. Sens. 12(3): 445 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.