High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal

Detalhes bibliográficos
Autor(a) principal: Petersen, Syver Jahren
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/134627
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, PortugalDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesTimely, reliable, and cost-efficient information about soil moisture is important for supporting agricultural practitioners in monitoring the impact of alternative agricultural practices. Regenerative agriculture is increasingly gaining traction; however, farmers lack easy access to information on key agricultural parameters such as soil moisture. Therefore, this study seeks to explore the feasibility of soil moisture estimation at high-resolution (around 10 m) using Sentinel-1 remote sensing radar data. A machine learning model was developed using a random forest regression algorithm with a combination of SAR-based, topography and Seninel-2 optical-based data as inputs. Through a k-fold cross-validation of the model, an average r-squared (R²) of 0.17, a root mean squared error (RMSE) of 3.51 (% VMC), and an mean absolute percentage error (MAPE) of 83.34, was achieved.Torres-Sospedra, JoaquínKuntz, SteffenMeyer, HannaRUNPetersen, Syver Jahren2022-03-16T16:00:16Z2022-03-022022-03-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134627TID:202966194enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:13:04Zoai:run.unl.pt:10362/134627Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:10.964098Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal
title High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal
spellingShingle High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal
Petersen, Syver Jahren
title_short High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal
title_full High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal
title_fullStr High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal
title_full_unstemmed High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal
title_sort High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal
author Petersen, Syver Jahren
author_facet Petersen, Syver Jahren
author_role author
dc.contributor.none.fl_str_mv Torres-Sospedra, Joaquín
Kuntz, Steffen
Meyer, Hanna
RUN
dc.contributor.author.fl_str_mv Petersen, Syver Jahren
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2022
dc.date.none.fl_str_mv 2022-03-16T16:00:16Z
2022-03-02
2022-03-02T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/134627
TID:202966194
url http://hdl.handle.net/10362/134627
identifier_str_mv TID:202966194
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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