Journal of Hyperspectral Remote Sensing最新文献

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ÁREAS VULNERÁVEIS AO AUMENTO DO NÍVEL DO MAR EM CIDADES COSTEIRAS: UM ESTUDO NA CIDADE DO RECIFE, BRASIL 沿海城市易受海平面上升影响的地区:巴西累西腓市的一项研究
Journal of Hyperspectral Remote Sensing Pub Date : 2022-05-25 DOI: 10.29150/2237-2202.2022.252409
Gastão Cerquinha da Fonseca Neto, Marcos Antonio Barbosa da Silva Junior, J. Cabral, Alexson Caetano da Silva
{"title":"ÁREAS VULNERÁVEIS AO AUMENTO DO NÍVEL DO MAR EM CIDADES COSTEIRAS: UM ESTUDO NA CIDADE DO RECIFE, BRASIL","authors":"Gastão Cerquinha da Fonseca Neto, Marcos Antonio Barbosa da Silva Junior, J. Cabral, Alexson Caetano da Silva","doi":"10.29150/2237-2202.2022.252409","DOIUrl":"https://doi.org/10.29150/2237-2202.2022.252409","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126387495","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}
引用次数: 0
Prospection for economic mineralization using PRISMA satellite hyperspectral remote sensing imagery: an example from central East Greenland 利用PRISMA卫星高光谱遥感影像勘探经济矿化:以格陵兰东部中部为例
Journal of Hyperspectral Remote Sensing Pub Date : 2022-05-25 DOI: 10.29150/2237-2202.2022.253484
E. Bedini, Jiang Chen
{"title":"Prospection for economic mineralization using PRISMA satellite hyperspectral remote sensing imagery: an example from central East Greenland","authors":"E. Bedini, Jiang Chen","doi":"10.29150/2237-2202.2022.253484","DOIUrl":"https://doi.org/10.29150/2237-2202.2022.253484","url":null,"abstract":"The PRISMA hyperspectral imaging satellite of the Italian Space Agency records in the 0.4-2.5 μm wavelength region at a spatial resolution of 30 m. This study used the PRISMA hyperspectral imagery to characterize an extensive hydrothermal alteration system in the Kap Simpson igneous complex in central East Greenland. The prospection for economic mineralization in the study area has been in the focus of the activities of several mineral exploration companies. The PRISMA data were analyzed using the Adaptive Coherence Estimator. The hyperspectral imagery mapped the spatial distribution of several alteration minerals. The hyperspectral data identified widespread iron stained zones consisting of limonite and jarosite. All these zones constitute prospection targets for the localization of economic mineralization of molybdenum, rare earth elements, gold, silver, and base metals. The study indicates the applicability of PRISMA imagery for the prospection of economic mineralization. The results should also be useful for the evaluation of the PRISMA hyperspectral imagery in geoenvironmental applications.","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126320655","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}
引用次数: 3
CARACTERIZAÇÃO FÍSICA COM USO DE GEOTECNOLOGIA NA BACIA HIDROGRÁFICA DO GRUPO DE PEQUENOS RIOS LITORÂNEOS (GL2) 利用岩土技术对小沿海河流流域(GL2)进行物理表征
Journal of Hyperspectral Remote Sensing Pub Date : 2022-05-25 DOI: 10.29150/2237-2202.2022.252391
Fabio Erickson Da Costa, Rodrigo Zimmerle dos Santos Rodrigues
{"title":"CARACTERIZAÇÃO FÍSICA COM USO DE GEOTECNOLOGIA NA BACIA HIDROGRÁFICA DO GRUPO DE PEQUENOS RIOS LITORÂNEOS (GL2)","authors":"Fabio Erickson Da Costa, Rodrigo Zimmerle dos Santos Rodrigues","doi":"10.29150/2237-2202.2022.252391","DOIUrl":"https://doi.org/10.29150/2237-2202.2022.252391","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125562642","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}
引用次数: 0
O Monitor de Secas do Brasil e a declaração de escassez hídrica na Bacia do Paraná: anúncios de uma crise. 巴西干旱监测和parana盆地水资源短缺的声明:危机的公告。
Journal of Hyperspectral Remote Sensing Pub Date : 2022-02-01 DOI: 10.29150/2237-2202.2021.252355
E. Santos, R. Vilar, Priscila Monteiro Gonçalves, Z. Lopes, Hailton Dias da Silva Junior
{"title":"O Monitor de Secas do Brasil e a declaração de escassez hídrica na Bacia do Paraná: anúncios de uma crise.","authors":"E. Santos, R. Vilar, Priscila Monteiro Gonçalves, Z. Lopes, Hailton Dias da Silva Junior","doi":"10.29150/2237-2202.2021.252355","DOIUrl":"https://doi.org/10.29150/2237-2202.2021.252355","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130113196","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}
引用次数: 0
Estudo da viabilidade para instalação eletrogeradores termossolares no município de Garanhuns, Pernambuco 伯南布哥Garanhuns市安装太阳能热发电机的可行性研究
Journal of Hyperspectral Remote Sensing Pub Date : 2022-01-03 DOI: 10.29150/2237-2202.2021.252314
Luís Roberto Cavalcanti da Silva, R. Vigoderis
{"title":"Estudo da viabilidade para instalação eletrogeradores termossolares no município de Garanhuns, Pernambuco","authors":"Luís Roberto Cavalcanti da Silva, R. Vigoderis","doi":"10.29150/2237-2202.2021.252314","DOIUrl":"https://doi.org/10.29150/2237-2202.2021.252314","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134506356","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}
引用次数: 0
Reflexões acerca dos impactos naturais e sociais esperados em decorrência das mudanças climáticas no semiárido brasileiro. 对巴西半干旱地区气候变化预期的自然和社会影响的反思。
Journal of Hyperspectral Remote Sensing Pub Date : 2022-01-03 DOI: 10.29150/2237-2202.2021.252162
Flávia Ingrid Bezerra Paiva Gomes, Maria Elisa Zanella
{"title":"Reflexões acerca dos impactos naturais e sociais esperados em decorrência das mudanças climáticas no semiárido brasileiro.","authors":"Flávia Ingrid Bezerra Paiva Gomes, Maria Elisa Zanella","doi":"10.29150/2237-2202.2021.252162","DOIUrl":"https://doi.org/10.29150/2237-2202.2021.252162","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122384694","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}
引用次数: 0
Uso e ocupação do solo e sua associação com a temperatura da superfície no município de Pombal – PB 彭巴尔- PB市的土地利用和占用及其与地表温度的关系
Journal of Hyperspectral Remote Sensing Pub Date : 2022-01-03 DOI: 10.29150/2237-2202.2021.252246
Lucas Martins de Araújo, Diêgo Lima Crispim, Rosilene Agra da Silva
{"title":"Uso e ocupação do solo e sua associação com a temperatura da superfície no município de Pombal – PB","authors":"Lucas Martins de Araújo, Diêgo Lima Crispim, Rosilene Agra da Silva","doi":"10.29150/2237-2202.2021.252246","DOIUrl":"https://doi.org/10.29150/2237-2202.2021.252246","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124731883","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}
引用次数: 0
CLIMATE AND ANALYSIS OF THE EXTREME PRECIPITATION TRENDS IN RECIFE-PE 极端降水趋势的气候与分析
Journal of Hyperspectral Remote Sensing Pub Date : 2022-01-03 DOI: 10.29150/2237-2202.2021.252132
Eduardo Almeida Da Silva, Madson T. Silva, Maria Monalisa Mayara Silva Melo, Tiago Bentes Mandú, Ingrid Paloma Carneiro De Lima, Bárbara Silva Souza
{"title":"CLIMATE AND ANALYSIS OF THE EXTREME PRECIPITATION TRENDS IN RECIFE-PE","authors":"Eduardo Almeida Da Silva, Madson T. Silva, Maria Monalisa Mayara Silva Melo, Tiago Bentes Mandú, Ingrid Paloma Carneiro De Lima, Bárbara Silva Souza","doi":"10.29150/2237-2202.2021.252132","DOIUrl":"https://doi.org/10.29150/2237-2202.2021.252132","url":null,"abstract":"The city of Recife-PE, located in the Northeast Region of Brazil (NRB), is vulnerable to extreme rainfall events, such events cause flood and landslides, generating socioeconomic effects and loss of life. These consequences to these events, the objective of this study is analyze the variability of extreme precipitation events in Recife-PE, through monthly rainfall for the period from 1961 to 2019 (59 years of data), obtained from the Banco de Dados Meteorológicos para Ensino e Pesquisa do Instituto Nacional de Meteororologia (BDMEP-INMET), images from the GOES-12 satellite, from the Centro de Previsão de Tempo e Estudos Climáticos CPTEC / INPE database. The Mann-Kendall Test (MK) was used to verify the presence of trends in monthly precipitation. It was concluded that the possibility of an increasing trend or decreasing in the data series was denied, since a stationary series was observed, the rainfall in the month of March shows negative trend at the level of 5% (p <0.05), and therefore, the null hypothesis is rejected. Through GOES-12 satellite images, it can be seen that the Intertropical Convergence Zone (ITCZ) is the main meteorological system that contributed to the occurrence of precipitation events in the city, because was possible to observe ITCZ zonal displacement.","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124402607","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}
引用次数: 0
Evaluation of environmental degradation on Biomes in Brazilian Northeastern 巴西东北部生物群落环境退化评价
Journal of Hyperspectral Remote Sensing Pub Date : 2022-01-03 DOI: 10.29150/2237-2202.2021.251981
Bárbara Alves Batista, Washington Luiz Félix Correia Filho, Carla Taciane Brasil dos Santos, J. F. O. Oliveira Júnior, Dimas de Barros Santiago
{"title":"Evaluation of environmental degradation on Biomes in Brazilian Northeastern","authors":"Bárbara Alves Batista, Washington Luiz Félix Correia Filho, Carla Taciane Brasil dos Santos, J. F. O. Oliveira Júnior, Dimas de Barros Santiago","doi":"10.29150/2237-2202.2021.251981","DOIUrl":"https://doi.org/10.29150/2237-2202.2021.251981","url":null,"abstract":"In recent years, due to irregular rainfall, several regions across the globe suffer from some type of environmental degradation. Depending on the degree of intensity, they can lead to a series of socioeconomic problems, both regional and national. One of the most emblematic types of degradation today is the desertification development process, resulting in a combination of factors: anthropic, climatic, and/or environmental. In an attempt to understand the behavior of these impacts, this work evaluated the degradation process based on the Aridity Index (AI) on biomes located in the Brazilian Northeast (Caatinga, Atlantic Forest, Amazon, and Cerrado). The AI consists of the relationship between the use of evapotranspiration (in this case, the Thornthwaite estimation method) and precipitation. The data used correspond to the product Climatologies at high resolution for the earth's land surface areas (CHELSA), which have a spatial resolution of 1km x 1km and temporal resolution on a monthly scale, from 1979 to 2013. In addition, it was found that the AI behavior during years of the occurrence of the El Niño-Southern Oscillation (ENSO) warm phase, the El Niños. The identification of El Niño episodes was based on the Oceanic Niño Index (ONI) climate proxy, characterized by the Equatorial Pacific region known as the Niño 3.4 region, from which the years 1983, 1993, 1998, and 2012 were selected. AI results point out different behaviors between the biomes, mainly over the south of the northeastern Cerrado and the Caatinga, motivated by the strong variability of rainfall in the respective regions. The Caatinga stands out, which exhibited a large part of its area was classified as arid (AI between 0.05 – 0.20) and hyper-arid (AI < 0.05), mainly in 2012. The Amazon and biomes, on the other hand. Atlantic Forest has areas classified as semi-arid (AI < 0.5). El Niño had a reduction in the AI values, motivated by the long periods of drought and irregular rainfall that negatively impacted the semi-arid of the Northeast region.","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128714608","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}
引用次数: 0
Comparação de métodos de detecção de indivíduos vegetais da Caatinga a partir de dados LiDAR aerotransportado 利用机载激光雷达数据检测Caatinga植物个体的方法比较
Journal of Hyperspectral Remote Sensing Pub Date : 2021-12-31 DOI: 10.29150/2237-2202.2021.251968
Adriana Aparecida Megumi Nishiwaki, M. Moura, J. Galvíncio, C. Santos, H. Carvalho
{"title":"Comparação de métodos de detecção de indivíduos vegetais da Caatinga a partir de dados LiDAR aerotransportado","authors":"Adriana Aparecida Megumi Nishiwaki, M. Moura, J. Galvíncio, C. Santos, H. Carvalho","doi":"10.29150/2237-2202.2021.251968","DOIUrl":"https://doi.org/10.29150/2237-2202.2021.251968","url":null,"abstract":"","PeriodicalId":332244,"journal":{"name":"Journal of Hyperspectral Remote Sensing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131893458","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}
引用次数: 0
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