Journal of Hyperspectral Remote Sensing最新文献

{"title":"ANÁLISE DA COBERTURA VEGETAL DO MUNICIPIO DE MOCAMBIQUE, UTILIZANDO IMAGENS DE SATELITES","authors":"Sergio Elias Libombo, J. Galvíncio","doi":"10.29150/jhrs.v12.6.p410-417","DOIUrl":"https://doi.org/10.29150/jhrs.v12.6.p410-417","url":null,"abstract":"aquela área.  Em áreas onde o conhecimento científico é muito precário o uso do sensoriamento remoto sobre as condições da vegetação pode representar muito para o planejamento ambiental, social e conomico da área. Em Moçambique é possível perceber as barreiras encontradas pelos pesquisadores para o desenvolvimento científico, pois estes vivenciam a falta ou inadequação no uso de tecnologias. Na maioria das comunidades alvo desta pesquisa, não há a internet e, quando há, o pesquisador não possui os dispositivos eletrônicos, tais como: GPS, gravadores, drones, imagens satélites entre outros. Diante do exposto, o objetivo deste estudo foi avaliar as condições da cobertura vegetal de áreas em Moçambique., com sensoriamento remoto com intuito de averiguar as condições ambientais das áreas e possíveis degradação. Os resultados mostraram que a região sudeste de Moçambique possa estar passando por um processo de degradação ambiental com prováveis consequências sociais e econômicas.","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127393857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal Mapping and Modeling Hotspot of PM2.5 in the Central part of Bangladesh","authors":"Md. Shareful Hassan, M. Bhuiyan","doi":"10.29150/jhrs.v13.1.p13-23","DOIUrl":"https://doi.org/10.29150/jhrs.v13.1.p13-23","url":null,"abstract":"Particulate matter (PM2.5) is one of the critical sources of ambient air pollution and poses the most significant public health threat. In Bangladesh, particularly in the major urban cities, PM2.5 has been identified as an important public health hazard. This research aims to perform a spatiotemporal mapping of PM2.5 from 2002-2019 to determine the hotspots in central Bangladesh. A time series of remotely sensed PM2.5 is used in mapping spatiotemporal and hotspot analysis, applying Geographic Information Systems (GIS) and remote sensing. This research reveals that the annual concentration of PM2.5 increased by 47% during 2002-2019. On the other hand, the high hotspot zones are found in the middle of the study areas, the core urban areas of Dhaka, Narayanganj, and Gazipur Districts. Moreover, this research found that 16.5% (3,640,748 persons out of the total population) were in the age group 0-9, 0.95% (2,109,99 persons) were in the age group 60+, 5% (12,062,419 persons) were pregnant women, and 1% (24,621 persons) were pneumonia patients in very high- and high-hotspot zones. The relevant policymakers and departments may use these findings on the policy applications for health hazard risk reduction and local and regional air pollution mitigation.","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126667945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FRAGILIDADE EMERGENCIAL E VULNERABILIDADE NATURAL À PERDA DE SOLO NO LESTE DA AMAZÔNIA","authors":"Artur Sales de Abreu Vieira, D. Soares, Antonio Jorge Silva Araújo Junior, Carlos Eduardo Aguiar de Souza Costa","doi":"10.29150/jhrs.v13.1.p1-12","DOIUrl":"https://doi.org/10.29150/jhrs.v13.1.p1-12","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125874794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HYDROLOGICAL MODELING AND PAYMENT FOR ENVIRONMENTAL SERVICES IN THE DECISION-MAKING PROCESS FOR THE CONSERVATION OF RIVER BASINS.","authors":"Nadja Valeria Pinheiro, J. Galvíncio","doi":"10.29150/jhrs.v12.6.p391-409","DOIUrl":"https://doi.org/10.29150/jhrs.v12.6.p391-409","url":null,"abstract":"The natural and anthropic degradation of ecosystems and watercourses is a concern throughout the planet for the importance of water for human survival and nature, which makes the debate on ecosystem services constant with the application and development of instruments that can reduce and even remedy global or local water scarcity, as well as promote the conservation of river basins. The purpose of this study is to conceptually approach the hydrological modeling and payment for environmental services - PES in the decision-making process for the conservation of River Basins. The methodology used was bibliographical and documentary research. We trace through concepts the trajectory from ecosystem services that are the basis for hydrological modeling and PES which in turn are tools used in the decision-making process in water management, ending with the approach of water governance, where managers plan, make strategic decisions for action in policies on water resources management. Thus, the literature shows that the use of hydrological modeling with the use of SWAT and PSA are the instruments more focused on the recovery and conservation of watersheds in their","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127452319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dinâmica espaço-temporal da cobertura e uso das terras de assentamento agrário em região semiárida","authors":"Paulo Roberto Megna Francisco, Viviane Farias Silva, Igo Marinho Serafim Borges, Dihego de Souza Pessoa","doi":"10.29150/jhrs.v12.6.p359-369","DOIUrl":"https://doi.org/10.29150/jhrs.v12.6.p359-369","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132045499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative differences in detection of fire pixels using Aqua/MODIS and NPP-Suomi/VIIRS satellites","authors":"B. White","doi":"10.29150/jhrs.v12.6.p379-390","DOIUrl":"https://doi.org/10.29150/jhrs.v12.6.p379-390","url":null,"abstract":"Since 2002, the AQUA (MODIS) satellite has been used as a “reference” by the Brazilian National Institute of Space Research to analyze spatial and temporal trends over fire pixel detection in all South America. Since this satellite will stop providing data in the near future, in order to continue the trend analyzes it will be necessary an integration and adjustment between AQUA fire pixels data with the data from the next reference satellite: the Suomi NPP (VIIRS). Therefore, this study has as objective to analyze the differences in fire pixels detection from AQUA and S-NPP satellites at country, state and municipal level. During the 10 years period assessed, the S-NPP detected, on average, 5.13 times more fire pixels than the AQUA on the South America continent. Venezuela was the country with the highest S-NPP/AQUA ratio (6.81) and Chile the lowest (3.87). When analyzing the fire pixels only in the Brazilian states, Acre presented the lowest S-NPP/AQUA ratio (3,72), while in Sergipe the highest (10,07). In the Pará’s municipalities, the lowest S-NPP/AQUA ratio was in Quatipuru (2.84), while the highest in Ananindeua (11.25). Despite the differences in the ratio, the number of fire pixels detected by the AQUA and S-NPP presented, almost in all cases, a significant correlation. Only the smallest municipalities in Pará had no significant correlation, probably due to low data and/or detection location errors. The changes in the S-NPP/AQUA ratio occurred probably due to factors such as sampling characteristics (pixel enlargement away from nadir), geographic area analyzed, timing of satellite overpasses, predominant type of vegetation, and others. Therefore, there isn’t one unique formula to adjust AQUA data to S-NPP, variations will persist at different locations.","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123803767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extraction of Intraurban Targets in High Resolution Images Using Band Arithmetic","authors":"Maria Luciana Da Silva, A. Candeias","doi":"10.29150/jhrs.v12.6.p370-378","DOIUrl":"https://doi.org/10.29150/jhrs.v12.6.p370-378","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126901702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geoestatística aplicada na estimativa da erodibilidade dos solos da bacia hidrográfica de Vaca Brava, Areia-PB","authors":"Thiago Raoni Pereira Brito, D. Santos, Paulo Roberto Megna Francisco, Flávio Pereira de Oliveira, G. D. S. Silvino, Antônio Clementino dos Santos","doi":"10.29150/jhrs.v12.6.p349-358","DOIUrl":"https://doi.org/10.29150/jhrs.v12.6.p349-358","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"os-33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127775297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of quartz-alunite epithermal gold deposits using PRISMA satellite imagery: examples from Goldfield, Nevada, USA and Rodalquilar, Spain","authors":"E. Bedini","doi":"10.29150/jhrs.v12.5.p216-224","DOIUrl":"https://doi.org/10.29150/jhrs.v12.5.p216-224","url":null,"abstract":"The PRISMA (Hyperspectral Precursor of the Application Mission) satellite of the Italian Space Agency (ASI) is in orbit since March 2019. The PRISMA satellite hyperspectral data have found applications in many disciplines including environmental monitoring, agriculture, forest and grassland mapping, land use and land cover mapping, hydrology, geology, and glaciology. In this study the PRISMA satellite hyperspectral imagery are evaluated for the characterization of the surface outcrop of quartz-alunite epithermal gold deposits occurring at Goldfield in Nevada, USA and at Rodalquilar in southeastern Spain. The Goldfield in Nevada has an arid to semiarid climate, whereas the Rodalquilar occurs in a semiarid region in southeastern Spain. The quartz-alunite gold deposits are associated with extensive alteration zones. Several important alteration minerals display distinct spectral reflectance features in the 0.4-2.5 μm wavelength region where the PRISMA sensor records. The surface reflectance PRISMA satellite hyperspectral data were analyzed using the Spectral Mixture Analysis (SMA) technique. The PRISMA mapped several key alteration minerals useful to depict the epithermal alteration zones. The study shows the applicability of PRISMA satellite hyperspectral imagery for the detection and mapping of altered rocks associated with quartz-alunite epithermal gold deposits in arid and semiarid regions.Investigação de depósitos de ouro epitermais de quartzo-alunito usando imagens de satélite PRISMA: exemplos de Goldfield, Nevada, EUA e Rodalquilar, EspanhaO satélite PRISMA (Hyperspectral Precursor of the Application Mission) da Agência Espacial Italiana (ASI) está em órbita desde março de 2019. Os dados hiperespectrais do satélite PRISMA encontraram aplicações em muitas disciplinas, incluindo monitoramento ambiental, agricultura, mapeamento de florestas e pastagens, uso da terra e mapeamento da cobertura da terra, hidrologia, geologia e glaciologia. Neste estudo, as imagens hiperespectrais do satélite PRISMA são avaliadas para a caracterização do afloramento superficial de depósitos de ouro epitérmicos de quartzo-alunito ocorrendo em Goldfield em Nevada, EUA e em Rodalquilar no sudeste da Espanha. O Goldfield em Nevada tem um clima árido a semiárido, enquanto o Rodalquilar ocorre em uma região semiárida no sudeste da Espanha. Os depósitos de ouro de quartzo-alunito estão associados a extensas zonas de alteração. Vários minerais de alteração importantes exibem características distintas de refletância espectral na região de comprimento de onda de 0,4-2,5 μm onde o sensor PRISMA registra. Os dados hiperespectrais do satélite PRISMA de refletância de superfície foram analisados usando a técnica Spectral Mixture Analysis (SMA). O PRISMA mapeou vários minerais de alteração importantes, úteis para representar as zonas de alteração epitermais. O estudo mostra a aplicabilidade das imagens hiperespectrais do satélite PRISMA para a detecção e mapeamento de rochas alter","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126960956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pluviometric forecast in Campina Grande via modeling Box-Jenkins","authors":"Sílvio Fernando Alves Xavier Júnior, Leando Valter Gomes, Alisson de Lima Brito, Tiago Almeida de Oliveira, Nyedja Fialho Morais Barbosa, Érika Fialho Morais Xavier","doi":"10.29150/jhrs.v12.5.p204-215","DOIUrl":"https://doi.org/10.29150/jhrs.v12.5.p204-215","url":null,"abstract":"Precipitation is a variable that has been constantly studied over time to describe the characteristics of the rainfall regime in a given region. The precipitation values in northeastern Brazil have high variability presenting a high volatile behavior with long dry periods and short periods of high rainfall precipitation. For this reason, this hydrologic variable has been a crucial object of study in Climatology and Hydrology. Thus, rainfall studies in this region have been constantly developed to investigate its behavior over the years. The SARIMA model class has good behavior when used for modeling meteorological data. The present study aimed to analyze the behavior of a series of precipitation in the city of Campina Grande, Paraíba, using the class of models developed by Box and Jenkins to investigate the behavior of precipitation values in this locality and evaluate the predictions. The model that best described the behavior of the variable was SARIMA(3,0,1) x (2,1,1)12 modeling the precipitation data with high variability.Previsão pluviométrica em Campina Grande via modelagem Box-JenkinsA precipitação é uma variável que vem sendo constantemente estudada ao longo do tempo para descrever as características do regime pluviométrico de uma determinada região. Os valores de precipitação no nordeste do Brasil possuem alta variabilidade apresentando um comportamento altamente volátil com longos períodos de seca e curtos períodos de alta precipitação pluviométrica. Por esta razão, esta variável hidrológica tem sido um objeto de estudo crucial em Climatologia e Hidrologia. Assim, estudos de precipitação nessa região têm sido constantemente desenvolvidos para investigar seu comportamento ao longo dos anos. A classe de modelo SARIMA tem bom comportamento quando usada para modelar dados meteorológicos. O presente estudo teve como objetivo analisar o comportamento de uma série de precipitações na cidade de Campina Grande, Paraíba, utilizando a classe de modelos desenvolvida por Box e Jenkins para investigar o comportamento dos valores de precipitação nesta localidade e avaliar as previsões. O modelo que melhor descreveu o comportamento da variável foi 〖SARIMA(3,0,1)x(2,1,1)〗_12 modelando os dados de precipitação com alta variabilidade.Palavras-chave: Precipitação, Campina Grande, SARIMA","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115849035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}