Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values

Detalhes bibliográficos
Autor(a) principal: Shuangao, Wang
Data de Publicação: 2021
Outros Autores: Padmanaban, Rajchandar, Mbanze, Aires A., Silva, João M.N., Shamsudeen, Mohamed, Cabral, Pedro, Campos, Felipe S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/114695
Resumo: Shuangao, W., Padmanaban, R., Mbanze, A. A., Silva, J. M. N., Shamsudeen, M., Cabral, P., & Campos, F. S. (2021). Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values. Remote Sensing, 13(5), 1-21. [851]. https://doi.org/10.3390/rs13050851
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spelling Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic valuesEnvironmental monitoringImage fusionLandscape patternsRemote sens-ingUrban ecosystem servicesEarth and Planetary Sciences(all)SDG 11 - Sustainable Cities and CommunitiesSDG 13 - Climate ActionSDG 15 - Life on LandShuangao, W., Padmanaban, R., Mbanze, A. A., Silva, J. M. N., Shamsudeen, M., Cabral, P., & Campos, F. S. (2021). Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values. Remote Sensing, 13(5), 1-21. [851]. https://doi.org/10.3390/rs13050851Accelerated land use change is a current challenge for environmental management world-wide. Given the urgent need to incorporate economic and ecological goals in landscape planning, cost-effective conservation strategies are required. In this study, we validated the benefit of fusing imagery from multiple sensors to assess the impact of landscape changes on ecosystem services (ES) and their economic values in the Long County, Shaanxi Province, China. We applied several landscape metrics to assess the local spatial configuration over 15 years (2004–2019) from fused image-ries. Using Landsat-7 Enhanced Thematic Mapper Plus (ETM+), Landsat-8 Operational Land Im-ager (OLI) and Indian Remote Sensing Satellite System Linear Imaging Self Scanning Sensor 3 (IRS LISS 3) imageries fused for 2004, 2009, 2014 and 2019, we reclassified land use/land cover (LULC) changes, through the rotation forest (RF) machine-learning algorithm. We proposed an equivalent monetary metric for estimating the ES values, which also could be used in the whole China. Results showed that agriculture farmland and unused land decreased their spatial distribution over time, with an observed increase on woodland, grassland, water bodies and built-up area. Our findings suggested that the patterns of landscape uniformity and connectivity improved, while the distribution of landscape types stabilized, while the landscape diversity had a slight improvement. The overall ES values increased (4.34%) under a benefit transfer approach, mainly concerning woodland and grassland. A sensitivity analysis showed the selected economic value (EV) was relevant and suitable for the study area associated with our ES for LULC changes. We suggested that changes in landscape patterns affected the ESV trends, while the increases on some LULC classes slightly improved the landscape diversity. Using an interdisciplinary approach, we recommend that local au-thorities and environmental practitioners should balance the economic benefits and ecological gains in different landscapes to achieve a sustainable development from local to regional scales.NOVA School of Business and Economics (NOVA SBE)Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNShuangao, WangPadmanaban, RajchandarMbanze, Aires A.Silva, João M.N.Shamsudeen, MohamedCabral, PedroCampos, Felipe S.2021-03-29T22:25:01Z2021-03-012021-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21application/pdfhttp://hdl.handle.net/10362/114695eng2072-4292PURE: 28922573https://doi.org/10.3390/rs13050851info: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:RCAAP2024-03-11T04:57:23Zoai:run.unl.pt:10362/114695Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:42:36.760323Repositório 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 Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values
title Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values
spellingShingle Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values
Shuangao, Wang
Environmental monitoring
Image fusion
Landscape patterns
Remote sens-ing
Urban ecosystem services
Earth and Planetary Sciences(all)
SDG 11 - Sustainable Cities and Communities
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values
title_full Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values
title_fullStr Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values
title_full_unstemmed Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values
title_sort Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values
author Shuangao, Wang
author_facet Shuangao, Wang
Padmanaban, Rajchandar
Mbanze, Aires A.
Silva, João M.N.
Shamsudeen, Mohamed
Cabral, Pedro
Campos, Felipe S.
author_role author
author2 Padmanaban, Rajchandar
Mbanze, Aires A.
Silva, João M.N.
Shamsudeen, Mohamed
Cabral, Pedro
Campos, Felipe S.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA School of Business and Economics (NOVA SBE)
Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Shuangao, Wang
Padmanaban, Rajchandar
Mbanze, Aires A.
Silva, João M.N.
Shamsudeen, Mohamed
Cabral, Pedro
Campos, Felipe S.
dc.subject.por.fl_str_mv Environmental monitoring
Image fusion
Landscape patterns
Remote sens-ing
Urban ecosystem services
Earth and Planetary Sciences(all)
SDG 11 - Sustainable Cities and Communities
SDG 13 - Climate Action
SDG 15 - Life on Land
topic Environmental monitoring
Image fusion
Landscape patterns
Remote sens-ing
Urban ecosystem services
Earth and Planetary Sciences(all)
SDG 11 - Sustainable Cities and Communities
SDG 13 - Climate Action
SDG 15 - Life on Land
description Shuangao, W., Padmanaban, R., Mbanze, A. A., Silva, J. M. N., Shamsudeen, M., Cabral, P., & Campos, F. S. (2021). Using satellite image fusion to evaluate the impact of land use changes on ecosystem services and their economic values. Remote Sensing, 13(5), 1-21. [851]. https://doi.org/10.3390/rs13050851
publishDate 2021
dc.date.none.fl_str_mv 2021-03-29T22:25:01Z
2021-03-01
2021-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/114695
url http://hdl.handle.net/10362/114695
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2072-4292
PURE: 28922573
https://doi.org/10.3390/rs13050851
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 21
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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