TY - JOUR
T1 - A web-based system for satellite-based high-resolution global soil moisture maps
AU - Khazaei, Morteza
AU - Hamzeh, Saeid
AU - Samani, Najmeh Neysani
AU - Muhuri, Arnab
AU - Goïta, Kalifa
AU - Weng, Qihao
N1 - Funding Information:
The authors thank anonymous reviewers for their constructive comments and suggestions which helped to improve the manuscript. Also, authors would also like to acknowledge the Iran National Science Foundation , for its support in conducting this research (with grant number: 95836169 ).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/1
Y1 - 2023/1
N2 - Nowadays, a wide range of applications require near-real-time Surface Soil Moisture (SSM) data at high spatial resolution. However, operational passive microwave systems like SMOS and SMAP can only acquire such information at a relatively coarser resolution. Therefore, several downscaling algorithms have been developed to address this issue and provide SSM maps at a finer spatial scale. Users may, however, find it difficult to implement the downscaling algorithm due to the complexity of integrating various data sources. Disaggregation based on Physical and Theoretical scale Change (DisPATCh) is one of the algorithms that is widely accepted to downscale passive microwave SSM observations. But the complexity of modeling, the variety of data sources and formats of input data make it very difficult for users to implement the algorithm. Thus, we developed a Satellite-based Hydrological Monitoring System (SHMS), which facilitates this gap through the implementation of the DisPATCh algorithm to generate large-scale SSM maps with high resolution, which is achieved by combining SMAP and MODIS products. The System Usability Scale (SUS) method was used to evaluate the system's strengths and weaknesses. The SUS evaluation results show that 74.75% of SHMS users are satisfied with the system's performance.
AB - Nowadays, a wide range of applications require near-real-time Surface Soil Moisture (SSM) data at high spatial resolution. However, operational passive microwave systems like SMOS and SMAP can only acquire such information at a relatively coarser resolution. Therefore, several downscaling algorithms have been developed to address this issue and provide SSM maps at a finer spatial scale. Users may, however, find it difficult to implement the downscaling algorithm due to the complexity of integrating various data sources. Disaggregation based on Physical and Theoretical scale Change (DisPATCh) is one of the algorithms that is widely accepted to downscale passive microwave SSM observations. But the complexity of modeling, the variety of data sources and formats of input data make it very difficult for users to implement the algorithm. Thus, we developed a Satellite-based Hydrological Monitoring System (SHMS), which facilitates this gap through the implementation of the DisPATCh algorithm to generate large-scale SSM maps with high resolution, which is achieved by combining SMAP and MODIS products. The System Usability Scale (SUS) method was used to evaluate the system's strengths and weaknesses. The SUS evaluation results show that 74.75% of SHMS users are satisfied with the system's performance.
KW - MODIS
KW - SMAP
KW - SMOS
KW - Soil moisture disaggregation
KW - Web-based system
UR - http://www.scopus.com/inward/record.url?scp=85140956596&partnerID=8YFLogxK
U2 - 10.1016/j.cageo.2022.105250
DO - 10.1016/j.cageo.2022.105250
M3 - Journal article
AN - SCOPUS:85140956596
SN - 0098-3004
VL - 170
JO - Computers and Geosciences
JF - Computers and Geosciences
M1 - 105250
ER -