The potential of spaceborne GNSS reflectometry for soil moisture, biomass, and freeze–thaw monitoring: Summary of a European Space Agency-funded study

التفاصيل البيبلوغرافية
العنوان: The potential of spaceborne GNSS reflectometry for soil moisture, biomass, and freeze–thaw monitoring: Summary of a European Space Agency-funded study
المؤلفون: Mehrez Zribi, Luca Cenci, Nicolas Floury, Maria Paola Clarizia, Hugo Carreno-Luengo, Adriano Camps, Emanuele Santi, Laura Dente, Leila Guerriero, Fabiano Costantini, Simonetta Paloscia, Antonio Mmollfulleda, Hyuk Park, Davide Comite, Nazzareno Pierdicca
المساهمون: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
المصدر: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2022.
سنة النشر: 2022
مصطلحات موضوعية: Hydrology, Settore ING-INF/02, Vegetation mapping, General Computer Science, Forest biomass, Monitoring, Biomass, Global navigation satellite system, Spaceborne radar, GNSS reflectometry, Biomassa forestal, Sistema de posicionament global, Sensitivity, Global Positioning System, Agency (sociology), Satellite broadcasting, Cartografia de la vegetació, General Earth and Planetary Sciences, Environmental science, Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços [Àrees temàtiques de la UPC], Electrical and Electronic Engineering, Instrumentation, Water content
الوصف: This work presents an overview of the activity developed in the frame of a project funded by the European Space Agency (ESA). The research was focused on the study of the potential applications of GNSS Reflectometry (GNSS- R) over land, with an emphasis on soil moisture (SM) and biomass. A study about the sensitivity with respect to the freeze–thaw dynamics was considered as well. The work started with an analysis of the sensitivity of GNSS-R reflec- tivity collected by the TechDemoSat-1 (TDS-1) experimental satellite, although, to a limited extent, the Cyclone GNSS (CyGNSS) constellation was considered as well. The en - couraging sensitivity outcomes led to the development of retrieval algorithms: three different approaches for SM and one for biomass based on neural networks. A more theoretical investigation was carried out to better understand and predict the signal from a satellite platform which required the updating of two different models. To - pography effects and sensitivity to moisture and roughness of a rough soil were included as well as the effect of vegeta- tion cover. The project was carried out by a large team involving different research groups in Europe. It has led to main con- clusions and recommendations derived from a beneficial collaboration and fertilization of ideas. The primary ap - proaches and outcomes are summarized here, including comparisons to the recent literature. This study has been conducted in the framework of the ESA contract 4000120299/17/NL/AF/hh, “Potential of Spaceborne GNSS-R for Land Applications.” The TDS-1 data have been freely collected from the MERRBYS portal at merrbys.co.uk. The CyGNSS and SMAP data were downloaded from the NASA Earthdata portal at podaac.jpl.nasa.gov and nsidc.org/data/smap, respectively. The SMOS data are made available from the ESA through the smos-diss.eo.esa.int website. This work has also been partially supported by the project of the Ministerio de Ciencia, Innovación y Universidades and EU ERDF ref. RTI2018-099008-B-C21/AEI/10.13089/E01100011083, “Sensing with Pioneering Opportunistic Techniques,” and grant MDM-2016-0600 to the CommSensLab-UPC “María de Maeztu” Excellent Research Unit. We thank the ISMN for the availability of soil moisture data.
وصف الملف: application/pdf
اللغة: English
تدمد: 4000-1202
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1f7b9e71141d5e5c2ab2b8cbc958e1f
https://hdl.handle.net/2117/359690
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....a1f7b9e71141d5e5c2ab2b8cbc958e1f
قاعدة البيانات: OpenAIRE