Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil

Surface soil moisture retrieval using microwave remote sensing, as the most promising method, has been highly valued due to its great accuracy and temporal resolution in broad scales. However, its coarse resolution limits regional scale applications. This study aims to apply the optional downscaling...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ayoob Karami, Hamid Reza Moradi, Ali Jafar Mousivand
Μορφή: Άρθρο
Γλώσσα:fas
Έκδοση: Fars Agricultural and Natural Resources Research and Education Center 2020-12-01
Σειρά:پژوهش‌های آبخیزداری
Θέματα:
Διαθέσιμο Online:https://wmrj.areeo.ac.ir/article_121797_ec0371b5c5aa15d04ae2d9fa2e1b1c2b.pdf
_version_ 1827189352796520448
author Ayoob Karami
Hamid Reza Moradi
Ali Jafar Mousivand
author_facet Ayoob Karami
Hamid Reza Moradi
Ali Jafar Mousivand
author_sort Ayoob Karami
collection DOAJ
description Surface soil moisture retrieval using microwave remote sensing, as the most promising method, has been highly valued due to its great accuracy and temporal resolution in broad scales. However, its coarse resolution limits regional scale applications. This study aims to apply the optional downscaling algorithm to generate high resolution soil moisture (θf) over Firoozabad Watershed, Ardabil, Iran. The algorithm integrates the advantage of Sentinel-1 (S-1) radar and the SMAP Radiometer soil moisture to make a linear correlation between the satellite soil moisture (θc) and the radar backscatter (σo) at each coarse pixel. The outputs were compared with the soil moisture measurements collected from individual points in the study area. The values of 0.043 cm3/cm3 and 0.039 cm3/cm3, respectively, were obtained for RMSE and UnbRMSE at 1 km resolution. This result are close to the SMAP’s downscaled target accuracy (RMSE = 0.05, cm3/cm3). Taken together, point measurement has limitations in terms of spatial representation and spatial extent, especially in a watershed scale data analysis; therefore, utilizing the freely available SMAP soil moisture data and its downscaled version with the S-1 SAR data could be considered as an efficient and low cost tool to be used in research and implementation for the local and regional applications.
first_indexed 2025-03-21T07:52:36Z
format Article
id doaj.art-26e22e36e66a433297785d0d1d84c20c
institution Directory Open Access Journal
issn 2981-2313
2981-2038
language fas
last_indexed 2025-03-21T07:52:36Z
publishDate 2020-12-01
publisher Fars Agricultural and Natural Resources Research and Education Center
record_format Article
series پژوهش‌های آبخیزداری
spelling doaj.art-26e22e36e66a433297785d0d1d84c20c2024-07-14T08:28:52ZfasFars Agricultural and Natural Resources Research and Education Centerپژوهش‌های آبخیزداری2981-23132981-20382020-12-01334172910.22092/wmej.2020.127911.1265121797Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, ArdabilAyoob Karami0Hamid Reza Moradi1Ali Jafar Mousivand2Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, IranAssociate Professor, Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, IranAssistant Professor, Department of Remote Sensing and GIS, Tarbiat Modares University, IranSurface soil moisture retrieval using microwave remote sensing, as the most promising method, has been highly valued due to its great accuracy and temporal resolution in broad scales. However, its coarse resolution limits regional scale applications. This study aims to apply the optional downscaling algorithm to generate high resolution soil moisture (θf) over Firoozabad Watershed, Ardabil, Iran. The algorithm integrates the advantage of Sentinel-1 (S-1) radar and the SMAP Radiometer soil moisture to make a linear correlation between the satellite soil moisture (θc) and the radar backscatter (σo) at each coarse pixel. The outputs were compared with the soil moisture measurements collected from individual points in the study area. The values of 0.043 cm3/cm3 and 0.039 cm3/cm3, respectively, were obtained for RMSE and UnbRMSE at 1 km resolution. This result are close to the SMAP’s downscaled target accuracy (RMSE = 0.05, cm3/cm3). Taken together, point measurement has limitations in terms of spatial representation and spatial extent, especially in a watershed scale data analysis; therefore, utilizing the freely available SMAP soil moisture data and its downscaled version with the S-1 SAR data could be considered as an efficient and low cost tool to be used in research and implementation for the local and regional applications.https://wmrj.areeo.ac.ir/article_121797_ec0371b5c5aa15d04ae2d9fa2e1b1c2b.pdffiroozabad watershedsoil moistureactive-passive downscalingsentinel-1smap
spellingShingle Ayoob Karami
Hamid Reza Moradi
Ali Jafar Mousivand
Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil
پژوهش‌های آبخیزداری
firoozabad watershed
soil moisture
active-passive downscaling
sentinel-1
smap
title Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil
title_full Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil
title_fullStr Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil
title_full_unstemmed Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil
title_short Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil
title_sort improving spatial resolution of smap surface soil moisture through the synergy of radar microwave observations at the firoozabad watershed ardabil
topic firoozabad watershed
soil moisture
active-passive downscaling
sentinel-1
smap
url https://wmrj.areeo.ac.ir/article_121797_ec0371b5c5aa15d04ae2d9fa2e1b1c2b.pdf
work_keys_str_mv AT ayoobkarami improvingspatialresolutionofsmapsurfacesoilmoisturethroughthesynergyofradarmicrowaveobservationsatthefiroozabadwatershedardabil
AT hamidrezamoradi improvingspatialresolutionofsmapsurfacesoilmoisturethroughthesynergyofradarmicrowaveobservationsatthefiroozabadwatershedardabil
AT alijafarmousivand improvingspatialresolutionofsmapsurfacesoilmoisturethroughthesynergyofradarmicrowaveobservationsatthefiroozabadwatershedardabil