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[PMID]:29185667
[Au] Autor:Bastin JF; Barbier N; Couteron P; Adams B; Shapiro A; Bogaert J; De Cannière C
[Ti] Título:Aboveground biomass mapping of African forest mosaics using canopy texture analysis: toward a regional approach.
[So] Source:Ecol Appl;24(8):1984-2001, 2014.
[Is] ISSN:1051-0761
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:In the context of the reduction of greenhouse gas emissions caused by deforestation and forest degradation (the REDD+ program), optical very high resolution (VHR) satellite images provide an opportunity to characterize forest canopy structure and to quantify aboveground biomass (AGB) at less expense than methods based on airborne remote sensing data. Among the methods for processing these VHR images, Fourier textural ordination (FOTO) presents a good method to detect forest canopy structural heterogeneity and therefore to predict AGB variations. Notably, the method does not saturate at intermediate AGB values as do pixelwise processing of available space borne optical and radar signals. However, a regional-scale application requires overcoming two difficulties: (1) instrumental effects due to variations in sun­scene­sensor geometry or sensor-specific responses that preclude the use of wide arrays of images acquired under heterogeneous conditions and (2) forest structural diversity including monodominant or open canopy forests, which are of particular importance in Central Africa. In this study, we demonstrate the feasibility of a rigorous regional study of canopy texture by harmonizing FOTO indices of images acquired from two different sensors (Geoeye-1 and QuickBird-2) and different sun­scene­sensor geometries and by calibrating a piecewise biomass inversion model using 26 inventory plots (1 ha) sampled across very heterogeneous forest types. A good agreement was found between observed and predicted AGB (residual standard error [RSE] = 15%; R2 = 0.85; P < 0.001) across a wide range of AGB levels from 26 Mg/ha to 460 Mg/ha, and was confirmed by cross validation. A high-resolution biomass map (100-m pixels) was produced for a 400-km2 area, and predictions obtained from both imagery sources were consistent with each other (r = 0.86; slope = 1.03; intercept = 12.01 Mg/ha). These results highlight the horizontal structure of forest canopy as a powerful descriptor of the entire forest stand structure and heterogeneity. In particular, we show that quantitative metrics resulting from such textural analysis offer new opportunities to characterize the spatial and temporal variation of the structure of dense forests and may complement the toolbox used by tropical forest ecologists, managers or REDD+ national monitoring, reporting and verification bodies.
[Mh] Termos MeSH primário: Biomassa
Monitoramento Ambiental/métodos
Florestas
[Mh] Termos MeSH secundário: África Central
Conservação dos Recursos Naturais
Análise de Fourier
Mapeamento Geográfico
Tecnologia de Sensoriamento Remoto
Astronave
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1712
[Cu] Atualização por classe:171221
[Lr] Data última revisão:
171221
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171201
[St] Status:MEDLINE


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[PMID]:28953943
[Au] Autor:Midekisa A; Holl F; Savory DJ; Andrade-Pacheco R; Gething PW; Bennett A; Sturrock HJW
[Ad] Endereço:Malaria Elimination Initiative, Global Health Group, University of California San Francisco, San Francisco, California, United States of America.
[Ti] Título:Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.
[So] Source:PLoS One;12(9):e0184926, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Quantifying and monitoring the spatial and temporal dynamics of the global land cover is critical for better understanding many of the Earth's land surface processes. However, the lack of regularly updated, continental-scale, and high spatial resolution (30 m) land cover data limit our ability to better understand the spatial extent and the temporal dynamics of land surface changes. Despite the free availability of high spatial resolution Landsat satellite data, continental-scale land cover mapping using high resolution Landsat satellite data was not feasible until now due to the need for high-performance computing to store, process, and analyze this large volume of high resolution satellite data. In this study, we present an approach to quantify continental land cover and impervious surface changes over a long period of time (15 years) using high resolution Landsat satellite observations and Google Earth Engine cloud computing platform. The approach applied here to overcome the computational challenges of handling big earth observation data by using cloud computing can help scientists and practitioners who lack high-performance computational resources.
[Mh] Termos MeSH primário: Computação em Nuvem
Terra (Planeta)
Sistemas de Informação Geográfica
[Mh] Termos MeSH secundário: África
Modelos Teóricos
Astronave
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171024
[Lr] Data última revisão:
171024
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170928
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0184926


  3 / 2633 MEDLINE  
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[PMID]:28934371
[Au] Autor:Robinson DP; Jaidah MY; Bach SS; Rohner CA; Jabado RW; Ormond R; Pierce SJ
[Ad] Endereço:Heriot-Watt University, Edinburgh, United Kingdom.
[Ti] Título:Some like it hot: Repeat migration and residency of whale sharks within an extreme natural environment.
[So] Source:PLoS One;12(9):e0185360, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:The Arabian Gulf is the warmest sea in the world and is host to a globally significant population of the whale shark Rhincodon typus. To investigate regional whale shark behaviour and movements, 59 satellite-linked tags were deployed on whale sharks in the Al Shaheen area off Qatar from 2011-14. Four different models of tag were used throughout the study, each model able to collect differing data or quantities of data. Retention varied from one to 227 days. While all tagged sharks crossed international maritime boundaries, they typically stayed within the Arabian Gulf. Only nine sharks dispersed through the narrow Strait of Hormuz into the Gulf of Oman. Most sharks stayed close to known or suspected feeding aggregation sites over summer months, but dispersed throughout the Arabian Gulf in winter. Sharks rarely ventured into shallow areas (<40 m depth). A single, presumably pregnant female shark was the sole animal to disperse a long distance, crossing five international maritime boundaries in 37 days before the tag detached at a distance of approximately 2644 km from the tagging site, close to the Yemeni-Somali border. No clear space-use differentiation was evident between years, for sharks of different sizes, or between sexes. Whale sharks spent the most time (~66%) in temperatures of 24-30°C and in shallow waters <100 m depth (~60%). Sharks spent relatively more time in cooler (X2 = 121.692; p<0.05) and deeper (X2 = 46.402; p<0.05) water at night. Sharks rarely made dives deeper than 100 m, reflecting the bathymetric constraints of the Gulf environment. Kernel density analysis demonstrated that the tagging site at Al Shaheen was the regional hotspot for these sharks, and revealed a probable secondary aggregation site for whale sharks in nearby Saudi Arabian waters. Analysis of visual re-sightings data of tagged sharks revealed that 58% of tagged individuals were re-sighted back in Al Shaheen over the course of this study, with 40% recorded back at Al Shaheen in the year following their initial identification. Two sharks were confirmed to return to Al Shaheen in each of the five years of study.
[Mh] Termos MeSH primário: Migração Animal
Temperatura Alta
Tubarões
[Mh] Termos MeSH secundário: Animais
Comportamento Animal
Ecossistema
Feminino
Masculino
Estações do Ano
Astronave
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171018
[Lr] Data última revisão:
171018
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170922
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0185360


  4 / 2633 MEDLINE  
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[PMID]:28880297
[Au] Autor:Marris E
[Ti] Título:How labs are coping with Hurricane Harvey's devastating floods.
[So] Source:Nature;549(7670):13-14, 2017 08 31.
[Is] ISSN:1476-4687
[Cp] País de publicação:England
[La] Idioma:eng
[Mh] Termos MeSH primário: Adaptação Psicológica
Tempestades Ciclônicas
Inundações
Laboratórios/organização & administração
Pesquisadores/psicologia
Pesquisa/organização & administração
[Mh] Termos MeSH secundário: Animais
Animais de Laboratório
Tempestades Ciclônicas/história
Equipamentos e Provisões
Inundações/história
História do Século XXI
Chuvas
Socorro em Desastres
Pesquisa/instrumentação
Mídias Sociais
Astronave
Telescópios
Texas
[Pt] Tipo de publicação:HISTORICAL ARTICLE; JOURNAL ARTICLE
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170915
[Lr] Data última revisão:
170915
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170908
[St] Status:MEDLINE
[do] DOI:10.1038/nature.2017.22542


  5 / 2633 MEDLINE  
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[PMID]:28877184
[Au] Autor:Parra M; Jung J; Boone TD; Tran L; Blaber EA; Brown M; Chin M; Chinn T; Cohen J; Doebler R; Hoang D; Hyde E; Lera M; Luzod LT; Mallinson M; Marcu O; Mohamedaly Y; Ricco AJ; Rubins K; Sgarlato GD; Talavera RO; Tong P; Uribe E; Williams J; Wu D; Yousuf R; Richey CS; Schonfeld J; Almeida EAC
[Ad] Endereço:Space Biosciences Research Branch, NASA Ames Research Center, Moffett Field, California, United States of America.
[Ti] Título:Microgravity validation of a novel system for RNA isolation and multiplex quantitative real time PCR analysis of gene expression on the International Space Station.
[So] Source:PLoS One;12(9):e0183480, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:The International Space Station (ISS) National Laboratory is dedicated to studying the effects of space on life and physical systems, and to developing new science and technologies for space exploration. A key aspect of achieving these goals is to operate the ISS National Lab more like an Earth-based laboratory, conducting complex end-to-end experimentation, not limited to simple microgravity exposure. Towards that end NASA developed a novel suite of molecular biology laboratory tools, reagents, and methods, named WetLab-2, uniquely designed to operate in microgravity, and to process biological samples for real-time gene expression analysis on-orbit. This includes a novel fluidic RNA Sample Preparation Module and fluid transfer devices, all-in-one lyophilized PCR assays, centrifuge, and a real-time PCR thermal cycler. Here we describe the results from the WetLab-2 validation experiments conducted in microgravity during ISS increment 47/SPX-8. Specifically, quantitative PCR was performed on a concentration series of DNA calibration standards, and Reverse Transcriptase-quantitative PCR was conducted on RNA extracted and purified on-orbit from frozen Escherichia coli and mouse liver tissue. Cycle threshold (Ct) values and PCR efficiencies obtained on-orbit from DNA standards were similar to Earth (1 g) controls. Also, on-orbit multiplex analysis of gene expression from bacterial cells and mammalian tissue RNA samples was successfully conducted in about 3 h, with data transmitted within 2 h of experiment completion. Thermal cycling in microgravity resulted in the trapping of gas bubbles inside septa cap assay tubes, causing small but measurable increases in Ct curve noise and variability. Bubble formation was successfully suppressed in a rapid follow-up on-orbit experiment using standard caps to pressurize PCR tubes and reduce gas release during heating cycles. The WetLab-2 facility now provides a novel operational on-orbit research capability for molecular biology and demonstrates the feasibility of more complex wet bench experiments in the ISS National Lab environment.
[Mh] Termos MeSH primário: Regulação da Expressão Gênica
Reação em Cadeia da Polimerase Multiplex/métodos
RNA/isolamento & purificação
Reação em Cadeia da Polimerase em Tempo Real/métodos
Astronave
Ausência de Peso
[Mh] Termos MeSH secundário: Animais
Escherichia coli/genética
Liofilização
Fígado/metabolismo
Camundongos
RNA/genética
Reprodutibilidade dos Testes
[Pt] Tipo de publicação:JOURNAL ARTICLE; VALIDATION STUDIES
[Nm] Nome de substância:
63231-63-0 (RNA)
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171016
[Lr] Data última revisão:
171016
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170907
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0183480


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[PMID]:28837902
[Au] Autor:Rosenfeld A; Dorman M; Schwartz J; Novack V; Just AC; Kloog I
[Ad] Endereço:Department of Geography and Environmental Development, Ben-Gurion University of the Negev, P.O.B. 653, Beer Sheva, Israel.
[Ti] Título:Estimating daily minimum, maximum, and mean near surface air temperature using hybrid satellite models across Israel.
[So] Source:Environ Res;159:297-312, 2017 11.
[Is] ISSN:1096-0953
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:Meteorological stations measure air temperature (Ta) accurately with high temporal resolution, but usually suffer from limited spatial resolution due to their sparse distribution across rural, undeveloped or less populated areas. Remote sensing satellite-based measurements provide daily surface temperature (Ts) data in high spatial and temporal resolution and can improve the estimation of daily Ta. In this study we developed spatiotemporally resolved models which allow us to predict three daily parameters: Ta Max (day time), 24h mean, and Ta Min (night time) on a fine 1km grid across the state of Israel. We used and compared both the Aqua and Terra MODIS satellites. We used linear mixed effect models, IDW (inverse distance weighted) interpolations and thin plate splines (using a smooth nonparametric function of longitude and latitude) to first calibrate between Ts and Ta in those locations where we have available data for both and used that calibration to fill in neighboring cells without surface monitors or missing Ts. Out-of-sample ten-fold cross validation (CV) was used to quantify the accuracy of our predictions. Our model performance was excellent for both days with and without available Ts observations for both Aqua and Terra (CV Aqua R results for min 0.966, mean 0.986, and max 0.967; CV Terra R results for min 0.965, mean 0.987, and max 0.968). Our research shows that daily min, mean and max Ta can be reliably predicted using daily MODIS Ts data even across Israel, with high accuracy even for days without Ta or Ts data. These predictions can be used as three separate Ta exposures in epidemiology studies for better diurnal exposure assessment.
[Mh] Termos MeSH primário: Modelos Teóricos
Tecnologia de Sensoriamento Remoto/métodos
Temperatura Ambiente
[Mh] Termos MeSH secundário: Calibragem
Israel
Estações do Ano
Astronave
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171120
[Lr] Data última revisão:
171120
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170825
[St] Status:MEDLINE


  7 / 2633 MEDLINE  
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[PMID]:28759784
[Au] Autor:Pereira G; Lee HJ; Bell M; Regan A; Malacova E; Mullins B; Knibbs LD
[Ad] Endereço:School of Public Health, Curtin University, WA, Australia. Electronic address: gavin.f.pereira@curtin.edu.au.
[Ti] Título:Development of a model for particulate matter pollution in Australia with implications for other satellite-based models.
[So] Source:Environ Res;159:9-15, 2017 11.
[Is] ISSN:1096-0953
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:Estimating exposure to particulate matter (PM ) air pollution concentrations in Australia is challenging due to relatively few monitoring sites relative to the geographic distribution of the population. We modelled daily ground-level PM concentrations for the period 2006-2011 for Australia using linear mixed models with satellite remote-sensed AOD, land-use and geographical variables as predictors. The variation in daily PM explained by the model was 51% for Australia overall, and ranged from 51% for Tasmania to 78% for South Australia. Cross-validation indicated that the models were most suitable for prediction in New South Wales and Victoria and least suitable for prediction in Western Australia, the Australian Capital Territory and Tasmania. Most of the variation in PM concentrations was explained by temporal rather than spatial variation. The inclusion of AOD and other predictors did not substantially improve model performance. Temporal models were sufficient to account for daily PM variation recorded by statutory monitors.
[Mh] Termos MeSH primário: Poluentes Atmosféricos/análise
Poluição do Ar/análise
Monitoramento Ambiental/métodos
Modelos Teóricos
Material Particulado/análise
Tecnologia de Sensoriamento Remoto
Astronave
[Mh] Termos MeSH secundário: Austrália
Modelos Lineares
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T; RESEARCH SUPPORT, U.S. GOV'T, NON-P.H.S.; RESEARCH SUPPORT, N.I.H., EXTRAMURAL
[Nm] Nome de substância:
0 (Air Pollutants); 0 (Particulate Matter)
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171120
[Lr] Data última revisão:
171120
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170801
[St] Status:MEDLINE


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[PMID]:28720184
[Au] Autor:Cao S; Zhang Y; Guo Y; Chen S
[Ti] Título:Human Performance Time Model of Spacecraft Control Panel Operation in Simulated Microgravity.
[So] Source:Aerosp Med Hum Perform;88(8):743-751, 2017 Aug 01.
[Is] ISSN:2375-6314
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: Human performance modeling plays an important role in the design and management of human spaceflight missions. Previous studies reported that manual control task time increased in microgravity conditions. The current study aimed to find a modeling method that can quantify and predict the task time of spacecraft control panel operation in the simulated microgravity condition. METHODS: We proposed the application of a predetermined elemental task method together with an information processing time model to quantify both physical motion time and cognitive time. The time increment due to microgravity was hypothesized to be proportional to physical motion time. The total task time in the microgravity condition could be calculated as the model time from the normal ground condition plus the predicted time increment. Human data were collected from an experiment asking participants to perform six emergency operating procedure tasks in both normal ground and simulated microgravity conditions. RESULTS: The proposed method resulted in good fitness to human data in both conditions, as shown by both regression fitness (R2 values = 0.99) and modeling error measures (root mean square error ≤ 3.3 s; mean absolute percentage error ≤ 16.1%). CONCLUSIONS: Although the method has its limitations, the current findings suggest that it has value in aerospace human factors and ergonomics applications.Cao S, Zhang Y, Guo Y, Chen S. Human performance time model of spacecraft control panel operation in simulated microgravity. Aerosp Med Hum Perform. 2017; 88(8):743-751.
[Mh] Termos MeSH primário: Emergências
Simulação de Ambiente Espacial
Astronave
Análise e Desempenho de Tarefas
Simulação de Ausência de Peso
[Mh] Termos MeSH secundário: Adulto
Medicina Aeroespacial
Seres Humanos
Masculino
Fatores de Tempo
Adulto Jovem
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170926
[Lr] Data última revisão:
170926
[Sb] Subgrupo de revista:IM; S
[Da] Data de entrada para processamento:170720
[St] Status:MEDLINE
[do] DOI:10.3357/AMHP.4668.2017


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[PMID]:28700640
[Au] Autor:Ajakaye OG; Adedeji OI; Ajayi PO
[Ad] Endereço:Department of Crop, Soil & Pest Management, Rufus Giwa Polytechnic, Owo, Ondo State, Nigeria.
[Ti] Título:Modeling the risk of transmission of schistosomiasis in Akure North Local Government Area of Ondo State, Nigeria using satellite derived environmental data.
[So] Source:PLoS Negl Trop Dis;11(7):e0005733, 2017 Jul.
[Is] ISSN:1935-2735
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Schistosomiasis is a parasitic disease and its distribution, in space and time, can be influenced by environmental factors such as rivers, elevation, slope, land surface temperature, land use/cover and rainfall. The aim of this study is to identify the areas with suitable conditions for schistosomiasis transmission on the basis of physical and environmental factors derived from satellite imagery and spatial analysis for Akure North Local Government Area (LGA) of Ondo State. Nigeria. This was done through methodology multicriteria evaluation (MCE) using Saaty's analytical hierarchy process (AHP). AHP is a multi-criteria decision method that uses hierarchical structures to represent a problem and makes decisions based on priority scales. In this research AHP was used to obtain the mapping weight or importance of each individual schistosomiasis risk factor. For the purpose of identifying areas of schistosomiasis risk, this study focused on temperature, drainage, elevation, rainfall, slope and land use/land cover as the factors controlling schistosomiasis incidence in the study area. It is by reclassifying and overlaying these factors that areas vulnerable to schistosomiasis were identified. The weighted overlay analysis was done after each factor was given the appropriate weight derived through the analytical hierarchical process. The prevalence of urinary schistosomiasis in the study area was also determined by parasitological analysis of urine samples collected through random sampling. The results showed varying risk of schistosomiasis with a larger portion of the area (82%) falling under the high and very high risk category. The study also showed that one community (Oba Ile) had the lowest risk of schistosomiasis while the risk increased in the four remaining communities (Iju, Igoba, Ita Ogbolu and Ogbese). The predictions made by the model correlated strongly with observations from field study. The high risk zones corresponded to known endemic communities. This study revealed that environmental factors can be used in identifying and predicting the transmission of schistosomiasis as well as effective monitoring of disease risk in newly established rural and agricultural communities.
[Mh] Termos MeSH primário: Transmissão de Doença Infecciosa
Meio Ambiente
Modelos Estatísticos
Esquistossomose/epidemiologia
Esquistossomose/transmissão
[Mh] Termos MeSH secundário: Animais
Seres Humanos
Governo Local
Nigéria/epidemiologia
Prevalência
Medição de Risco
Astronave
Análise Espacial
Urina/parasitologia
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1707
[Cu] Atualização por classe:170808
[Lr] Data última revisão:
170808
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170713
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pntd.0005733


  10 / 2633 MEDLINE  
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[PMID]:28661502
[Au] Autor:Castelvecchi D
[Ti] Título:Success of gravity-wave satellite paves way for three-craft mission.
[So] Source:Nature;546(7660):583-584, 2017 06 27.
[Is] ISSN:1476-4687
[Cp] País de publicação:England
[La] Idioma:eng
[Mh] Termos MeSH primário: Voo Espacial
Astronave
[Mh] Termos MeSH secundário: Gravitação
[Pt] Tipo de publicação:NEWS; COMMENT
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170908
[Lr] Data última revisão:
170908
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170630
[St] Status:MEDLINE
[do] DOI:10.1038/546583a



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