In order to improve the temporal and spatial resolution of soil moisture in the monitoring area, the comprehensive use of tropical cyclone global navigation satellite system (CYGNSS) and soil moisture active-passive detection (SMAP) satellite data was analyzed and researched. The results show that: Compared with interpreting soil moisture using only SMAP satellite data, the method used in this paper improves the time resolution of soil moisture interpretation while ensuring the same spatial resolution, and can obtain more complete soil moisture information in the study area. Compared with the measured data from the ground stations in the International Soil Moisture Database (ISMN), the root mean square error of the interpretation results in this paper varies from 0.0258 to 0.042, and the correlation coefficient varies from 0.5502 to 0.5886. It validates the validity and reliability of the proposed interpretation method comprehensive utilization of CYGNSS and SMAP satellite data for soil moisture.
Interpretation of Soil Moisture Using CYGNSS and SMAP Satellite Data in Henan Province
Lect. Notes Electrical Eng.
China Satellite Navigation Conference ; 2022 ; Beijing, China May 22, 2022 - May 25, 2022
07.05.2022
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Middle route of south-to-north water diversion , Soil moisture , Cyclone Global Navigation Satellite System (CYGNSS) , Soil Moisture Active Passive (SMAP) Engineering , Communications Engineering, Networks , Signal, Image and Speech Processing , Aerospace Technology and Astronautics , Control, Robotics, Mechatronics , Computer Applications , Geography, general
Interpretation of Soil Moisture Using CYGNSS and SMAP Satellite Data in Henan Province
British Library Conference Proceedings | 2022
|SMAP Radar Soil Moisture Algorithms
NTRS | 2012
|Soil Moisture Observations from the SMAP Mission
NTRS | 2016
|