Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China
Flood is a kind of natural disaster that is extremely harmful and occurs frequently. To reduce losses caused by the hazards, it is urgent to monitor the disaster area timely and carry out rescue operations efficiently. However, conventional space observers cannot achieve sufficient spatiotemporal re...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-11-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/22/4561 |
| _version_ | 1797508599481630720 |
|---|---|
| author | Wentao Yang Fan Gao Tianhe Xu Nazi Wang Jinsheng Tu Lili Jing Yahui Kong |
| author_facet | Wentao Yang Fan Gao Tianhe Xu Nazi Wang Jinsheng Tu Lili Jing Yahui Kong |
| author_sort | Wentao Yang |
| collection | DOAJ |
| description | Flood is a kind of natural disaster that is extremely harmful and occurs frequently. To reduce losses caused by the hazards, it is urgent to monitor the disaster area timely and carry out rescue operations efficiently. However, conventional space observers cannot achieve sufficient spatiotemporal resolution. As spaceborne GNSS-R technique can observe the Earth’s surface with high temporal and spatial resolutions; and it is expected to provide a new solution to the problem of flood hazards. During 19–21 July 2021, Henan province, China, suffered a catastrophic flood and urban waterlogging. In order to test the feasibility of flood disaster monitoring on a daily basis by using GNSS-R observations, the CYGNSS (Cyclone Global Navigation Satellite System) Level 1 Science Data were processed for a few days before and after the flood to obtain surface reflectivity by correcting the analog power. Afterwards, the flood was monitored and mapped daily based on the analysis of changes in surface reflectivity from spaceborne GNSS-R mission. The results were evaluated based on the image from MODIS (Moderate Resolution Imaging Spectroradiometer) data, and compared with the observations of SMAP (Soil Moisture Active Passive) in the same period. The results show that the area with high CYGNSS reflectivity corresponds to the flooded area monitored by MODIS, and it is also in high agreement with SMAP. Moreover, CYGNSS can achieve more detailed mapping and quantification of the inundated area and the duration of the flood, respectively, in line with the specific situation of the flood. Thus, spaceborne GNSS-R technology can be used as a method to monitor floods with high temporal resolution. |
| first_indexed | 2024-03-10T05:06:14Z |
| format | Article |
| id | doaj.art-985942f9ba4145d7bda350a4d488f30c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T05:06:14Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-985942f9ba4145d7bda350a4d488f30c2023-11-23T01:19:24ZengMDPI AGRemote Sensing2072-42922021-11-011322456110.3390/rs13224561Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, ChinaWentao Yang0Fan Gao1Tianhe Xu2Nazi Wang3Jinsheng Tu4Lili Jing5Yahui Kong6Institute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaCollege of Geographic Information and Tourism, Chuzhou University, Chuzhou 239004, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaFlood is a kind of natural disaster that is extremely harmful and occurs frequently. To reduce losses caused by the hazards, it is urgent to monitor the disaster area timely and carry out rescue operations efficiently. However, conventional space observers cannot achieve sufficient spatiotemporal resolution. As spaceborne GNSS-R technique can observe the Earth’s surface with high temporal and spatial resolutions; and it is expected to provide a new solution to the problem of flood hazards. During 19–21 July 2021, Henan province, China, suffered a catastrophic flood and urban waterlogging. In order to test the feasibility of flood disaster monitoring on a daily basis by using GNSS-R observations, the CYGNSS (Cyclone Global Navigation Satellite System) Level 1 Science Data were processed for a few days before and after the flood to obtain surface reflectivity by correcting the analog power. Afterwards, the flood was monitored and mapped daily based on the analysis of changes in surface reflectivity from spaceborne GNSS-R mission. The results were evaluated based on the image from MODIS (Moderate Resolution Imaging Spectroradiometer) data, and compared with the observations of SMAP (Soil Moisture Active Passive) in the same period. The results show that the area with high CYGNSS reflectivity corresponds to the flooded area monitored by MODIS, and it is also in high agreement with SMAP. Moreover, CYGNSS can achieve more detailed mapping and quantification of the inundated area and the duration of the flood, respectively, in line with the specific situation of the flood. Thus, spaceborne GNSS-R technology can be used as a method to monitor floods with high temporal resolution.https://www.mdpi.com/2072-4292/13/22/4561CYGNSSflood monitoringGNSS-RSMAPflood mapping |
| spellingShingle | Wentao Yang Fan Gao Tianhe Xu Nazi Wang Jinsheng Tu Lili Jing Yahui Kong Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China Remote Sensing CYGNSS flood monitoring GNSS-R SMAP flood mapping |
| title | Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China |
| title_full | Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China |
| title_fullStr | Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China |
| title_full_unstemmed | Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China |
| title_short | Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China |
| title_sort | daily flood monitoring based on spaceborne gnss r data a case study on henan china |
| topic | CYGNSS flood monitoring GNSS-R SMAP flood mapping |
| url | https://www.mdpi.com/2072-4292/13/22/4561 |
| work_keys_str_mv | AT wentaoyang dailyfloodmonitoringbasedonspacebornegnssrdataacasestudyonhenanchina AT fangao dailyfloodmonitoringbasedonspacebornegnssrdataacasestudyonhenanchina AT tianhexu dailyfloodmonitoringbasedonspacebornegnssrdataacasestudyonhenanchina AT naziwang dailyfloodmonitoringbasedonspacebornegnssrdataacasestudyonhenanchina AT jinshengtu dailyfloodmonitoringbasedonspacebornegnssrdataacasestudyonhenanchina AT lilijing dailyfloodmonitoringbasedonspacebornegnssrdataacasestudyonhenanchina AT yahuikong dailyfloodmonitoringbasedonspacebornegnssrdataacasestudyonhenanchina |