916 resultados para radar remote sensing
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We developed a habitat suitability index (HSI) model to understand and identify the optimal habitat and potential fishing grounds for neon f lying squid (Ommastrephes bartramii) in the Northwest Pacific Ocean. Remote sensing data, including sea surface temperature, sea surface salinity, sea surface height, and chlorophyll-a concentrations, as well as fishery data from Chinese mainland squid f leets in the main fishing ground (150–165°E longitude) from August to October, from 1999 to 2004, were used. The HSI model was validated by using fishery data from 2005. The arithmetic mean modeling with three of the environmental variables—sea surface temperature, sea surface height anomaly, and chlorophyll- a concentrations—was defined as the most parsimonious HSI model. In 2005, monthly HSI values >0.6 coincided with productive fishing grounds and high fishing effort from August to October. This result implies that the model can reliably predict potential f ishing grounds for O. bartramii. Because spatially explicit fisheries and environmental data are becoming readily available, it is feasible to develop a dynamic, near real-time habitat model for improving the process of identifying potential fishing areas for and optimal habitats of neon flying squid.
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Os SIG Sistemas de Informação Geográfica vêm sendo cada vez mais estudados como ferramentas facilitadoras de análises territoriais com o objetivo de subsidiar a gestão ambiental. A Ilha Grande, que pertence ao município de Angra dos Reis, localiza-se na baía de Ilha Grande no sul do estado do Rio de Janeiro e constitui-se no recorte espacial de análise. Apresenta uma dinâmica ambiental complexa que se sobrepõem principalmente aos usos de proteção ambiental e de atividade turística em uma porção do território em que as normatizações legais são difíceis de serem aplicadas, pois são reflexos de interesses que se manifestam em três esferas do poder a municipal, a estadual e a federal. O objetivo principal desta pesquisa é a realização do processamento digital de imagem para auxiliar a gestão territorial da Ilha Grande. Em foco, a estrada Abraão - Dois Rios, que liga Abraão (local de desembarque dos turistas, principal núcleo da Ilha) a Dois Rios (local de visitação por estudantes e pesquisadores, núcleo que abrigava o presídio, atualmente abriga sede do centro de pesquisa e museu da Universidade do Estado do Rio de Janeiro), ambos protegidos por diferentes categorias de unidades de conservação. A metodologia fundamenta-se no processamento digital de imagem através da segmentação e da classificação supervisionada por pixel e por região. O processamento deu-se a partir da segmentação (divisão de uma imagem digital em múltiplas regiões ou objetos, para simplificar e/ou mudar a representação de uma imagem) e dos processos de classificações de imagem, com a utilização de classificação por pixel e classificação por regiões (com a utilização do algoritmo Bhattacharya). As segmentações e classificações foram processadas no sistema computacional SPRING versão 5.1.7 e têm como objetivo auxiliar na análise de uso da Terra e projetar cenários a partir da identificação dos pontos focais de fragilidade encontrados ao longo da estrada Abraão-Dois Rios, propensos a ocorrências de movimentos de massa e que potencializam o efeito de borda da floresta e os impactos ambientais. A metodologia utilizada baseou-se em análise de campo e comparações de tecnologias de classificação de imagens. Essa estrada eixo de ligação entre os dois núcleos tem significativa importância na história da Ilha, nela circulam veículos, pesados e leves, de serviço, pedestres e turistas. Como resultados da presente foram gerados os mapas de classificação por pixel, os mapas de classificação por região, o mapa fuzzy com a intersecção dos mapas de classificação supervisionada por região e os mapas com os locais coletados em campo onde são verificadas ocorrências de movimentos de massa nas imagens ALOS, 2000, IKONOS, 2003 e ortofotografias, 2006. Esses mapas buscam servir de apoio à tomada de decisões por parte dos órgãos locais responsáveis.
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Este trabalho aborda a aplicação da Geomática no apoio às ações de rápida resposta às emergências ambientais passíveis de ocorrência, nas rodovias do País, por incidentes com produtos perigosos. A cadeia logística nacional de infraestrutura de transporte de carga está apoiada, principalmente, no modal rodoviário, que é responsável por cerca de 60% do volume total transportado. Seguindo essa tendência, a maioria dos produtos perigosos também é transportada através de estradas. Nessas operações, apesar de todas as medidas de segurança empregadas, tanto na embalagem quanto no manuseio, há sempre a possibilidade da ocorrência de incidentes com esse tipo de carga, no deslocamento entre o ponto de partida e o destino final. Diante dessas potenciais ameaças, ficam evidentes os riscos à integridade física e patrimonial das populações lindeiras, bem como ao meio ambiente, no tocante à qualidade das águas superficiais e subterrâneas, do solo e do ar. Este trabalho sugere, com base na integração dos recursos tecnológicos do Sensoriamento Remoto, do Sistema de Posicionamento Global-GPS e do Geoprocessamento, implantar um sistema de informações georreferenciadas que proporcione os elementos necessários às ações de rápida resposta a esses eventos. A estrutura proposta, denominada Bureau de Informações Territoriais, está moldada para proporcionar uma solução para os problemas relacionados com o posicionamento na superfície terrestre, e que engloba os conceitos da Geomática, através da aplicação das suas quatro etapas básicas: coleta de dados, análise de dados, distribuição da informação e uso da informação. Assim, atendendo ao princípio da mobilidade, o projeto visa, ainda, a disponibilizar na tela de um laptop as informações necessárias ao planejamento e à execução das ações, no menor tempo possível. Por outro lado, considerando que o Bureau também proporciona às organizações que participam das ações de combate aos incidentes rodoviários com produtos perigosos as informações necessárias, através de uma conexão à Internet, espera-se a maximização dos benefícios do planejamento das ações preventivas e corretivas de resposta aos sinistros, assim como a minimização dos efeitos desse tipo de evento sobre a população, as propriedades e o meio ambiente.
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•2011 PICES Science: A Note from the Science Board Chairman (pp. 1-6) •2011 PICES Awards (pp. 7-9) •Beyond the Terrible Disaster of the Great East Japan Earthquake (pp. 10-12) •A New Era of PICES-ICES Scientific Cooperation (p. 13) •New PICES Jellyfish Working Group Formed (pp. 14-15) •PICES Working Group on North Pacific Climate Variability (pp. 16-18) •Final U.S. GLOBEC Symposium and Celebration (pp. 19-25) •2011 PICES Rapid Assessment Survey (pp. 26-29) •Introduction to Rapid Assessment Survey Methodologies for Detecting Non-indigenous Marine Species (pp. 30-31) •The 7th International Conference on Marine Bioinvasions (pp. 32-33) •NOWPAP/PICES/WESTPAC Training Course on Remote Sensing Data Analysis (pp. 34-36) •PICES-2011 Workshop on “Trends in Marine Contaminants and their Effects in a Changing Ocean” (pp. 37-39) •The State of the Western North Pacific in the First Half of 2011 (pp. 40-42) •Yeosu Symposium theme sessions (p. 42) •The Bering Sea: Current Status and Recent Events (pp. 43-44) •News of the Northeast Pacific Ocean (pp. 45-47) •Recent and Upcoming PICES Publications (p. 47) •New leadership for the PICES Fishery Science Committee (p. 48)
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Rockfishes (Sebastes spp.) tend to aggregate near rocky, cobble, or generally rugged areas that are difficult to survey with bottom trawls, and evidence indicates that assemblages of rockfish species may differ between areas accessible to trawling and those areas that are not. Consequently, it is important to determine grounds that are trawlable or untrawlable so that the areas where trawl survey results should be applied are accurately identified. To this end, we used multibeam echosounder data to generate metrics that describe the seafloor: backscatter strength at normal and oblique incidence angles, the variation of the angle-dependent backscatter strength within 10° of normal incidence, the scintillation of the acoustic intensity scattered from the seafloor, and the seafloor rugosity. We used these metrics to develop a binary classification scheme to estimate where the seafloor is expected to be trawlable. The multibeam echosounder data were verified through analyses of video and still images collected with a stereo drop camera and a remotely operated vehicle in a study at Snakehead Bank, ~100 km south of Kodiak Island in the Gulf of Alaska. Comparisons of different combinations of metrics derived from the multibeam data indicated that the oblique-incidence backscatter strength was the most accurate estimator of trawlability at Snakehead Bank and that the addition of other metrics provided only marginal improvements. If successful on a wider scale in the Gulf of Alaska, this acoustic remote-sensing technique, or a similar one, could help improve the accuracy of rockfish stock assessments.
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Digital maps of the coral reef ecosystem (<~30m deep) of Majuro Atoll, Republic of the Marshall Islands, were created through visual interpretation of remote sensing imagery. Digital Globe’s Quickbird II satellite images were acquired between 2004 and 2006 and georeferenced to within 1.6 m of their true positions. Reef ecosystem features were digitized directly into a GIS at a display scale of 1:4000 using a minimum feature size of 1000 square meters. Benthic features were categorized according to a classification scheme with attributes including zone (location, such as lagoon or forereef, etc.), structure (bottom type, such as sand or patch reef, etc.) and percent hard bottom. Ground validation of habitat features was conducted at 311 sites in 2009. Resulting maps consisted of 1829 features covering 366 square kilometers. Results demonstrate that reef zones occurred in a typical progression of narrow bands from offshore, though forereef, reef flat, shoreline, land, backreef, and lagoon habitats. Lagoon was the largest zone mapped and covered nearly 80% of the atoll, although much of it was too deep to have structures identified from the satellite imagery. Dominant habitat structures by area were pavement and aggregate reef, which covered 29% and 18% of the mapped structures, respectively. Based on the number of features, individual and aggregated patch reefs comprised over 40% of the features mapped. Products include GIS based maps, field videos and pictures, satellite imagery, PDF atlas, and this summary report. Maps and associated data can be used to support science and management activities on Majuro reef ecosystems including inventory, monitoring, conservation, and sustainable development applications.
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This report examines the marine biogeography of the Samoan Archipelago (~14º S latitude along the international date-line) with a focus on regional ocean climate, connectivity among islands due to larval transport, distributions of reef fish and coral communities, and the extent of existing marine protected areas. Management decisions and prior assessments in the archipelago have typically been split along the international political boundary between the islands of Samoa and those of American Samoa despite their close proximity and shared resources. A key goal in this assessment was to compile data from both jurisdictions and to conduct the characterization across the entire archipelago. The report builds upon earlier assessments by re-analyzing and interpreting many pre-existing datasets, adding more recent biogeographic data sources, and by combining earlier findings into a multidisciplinary summary of marine biogeography. The assessment is divided into 5 chapters and supporting appendices. Each chapter was written and reviewed in collaboration with subject matter specialists and local experts. In Chapter 1, a short introduction to the overall scope and approach of the report is provided. In Chapter 2, regional ocean climate is characterized using remote sensing datasets and discussed in the context of local observations. In Chapter 3, regional ocean currents and transport of coral and fish larvae are investigated among the islands of the archipelago and surrounding island nations. In Chapter 4, distinct reef fish and coral communities across the archipelago are quantified on the basis of overall biodiversity, abundance, and community structure. In Chapter 5, the existing network of MPAs in American Samoa is evaluated based on the habitats, reef fish, and coral communities that are encompassed. Appendices provide analytical details omitted from some chapters for brevity as well as supplemental datasets needed as inputs for the main chapters in the assessment. Appendices include an inventory of regional seamounts, a description of shore to shelf edge benthic maps produced for Tutuila, analytical details of reef fish and coral datasets, and supplemental information on the many marine protected areas in American Samoa.
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Spatial pattern metrics have routinely been applied to characterize and quantify structural features of terrestrial landscapes and have demonstrated great utility in landscape ecology and conservation planning. The important role of spatial structure in ecology and management is now commonly recognized, and recent advances in marine remote sensing technology have facilitated the application of spatial pattern metrics to the marine environment. However, it is not yet clear whether concepts, metrics, and statistical techniques developed for terrestrial ecosystems are relevant for marine species and seascapes. To address this gap in our knowledge, we reviewed, synthesized, and evaluated the utility and application of spatial pattern metrics in the marine science literature over the past 30 yr (1980 to 2010). In total, 23 studies characterized seascape structure, of which 17 quantified spatial patterns using a 2-dimensional patch-mosaic model and 5 used a continuously varying 3-dimensional surface model. Most seascape studies followed terrestrial-based studies in their search for ecological patterns and applied or modified existing metrics. Only 1 truly unique metric was found (hydrodynamic aperture applied to Pacific atolls). While there are still relatively few studies using spatial pattern metrics in the marine environment, they have suffered from similar misuse as reported for terrestrial studies, such as the lack of a priori considerations or the problem of collinearity between metrics. Spatial pattern metrics offer great potential for ecological research and environmental management in marine systems, and future studies should focus on (1) the dynamic boundary between the land and sea; (2) quantifying 3-dimensional spatial patterns; and (3) assessing and monitoring seascape change.
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Digital maps of the shallow (<~30m deep) coral reef ecosystems of Majuro Atoll, Republic of the Marshall Islands, were created through visual interpretation of remote sensing imagery acquired between 2004 and 2006. Reef ecosystem features were digitized directly into a Geographic Information System. Benthic features were categorized according to a classification scheme with attributes including zone (location such as lagoon or forereef, etc.), structure (bottom type such as sand or patch reef, etc.) and percent hard bottom. This atlas consists of 27 detailed maps displaying reef zone and structure of coral ecosystems around Majuro. Adjacent maps in the atlas overlap slightly to ensure complete coverage. Maps and associated products can be used to support science and management activities on Majuro reef ecosystems including inventory, monitoring, conservation, and sustainable development applications. Maps are not to be used for navigation.
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本研究通过对油蒿灌丛及研究地区土壤连续5个月的光谱观测,指出干旱半干旱地区土壤光谱反射的特点,油蒿灌丛的光谱反射将无可避免受土壤背景的影响.分析了油蒿灌丛光谱反射的季节动态变化,指出油蒿灌丛光谱反射不仅取决于叶片,枝条也是重要的反射构件.引入植被指数(Vegetation Index),采用常规方法与遥感技术相结合估测油蓠单丛生物量,获得较单纯常规方法更高的估测精度,表明在干旱半干旱地区,应用植被指数估测灌丛生物量是可行的.对油蒿单优群落现存生物量动态监测,表明油蒿群落生物量8月份达到最高,是适应生态气候因子,特别是水因子的结果.观测不同深度土壤光谱反射,显示了土壤持水的稳定性.通过对研究地区土壤光谱观测,得到一条适合本地区的土壤线(8011line).通过比较几种植被指数消除土壤背景影响和估测生物量的效果,选取综合效果最佳的植被指数- SAVI( Soil-Adjusted Vegetation Index).利用植被指数区分典型地块,提取油蒿地块面积.
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大范围、实时、准确地监测典型草原地区草场退化或健康状况对于草原生态系统的保育、农牧业的可持续性发展具有非常重要的意义。比起传统的群落学研究方法,遥感技术对于监测大尺度的植被状况具有无可争议的优越性,并且已经被广泛引入监测植被覆盖变化的研究中。本项研究系统地分析、综述了过去用非遥感手段对放牧和草场退化的关注和研究,介绍了遥感技术应用于植被研究的理论基础、主要途径(植被指数)、有关领域的研究进展。特别是本文提出草场退化状况或整体健康状况可以由基干相互独立的层面表示,而过去监测植被变化主要依赖的NDVI等植被指数只能监测草原植被的个别层面(总量层)。 本文以草场放牧退化比较典型的内蒙古锡林河流域为研究对象,在进行了大量的野外样方调查的基础上,提出一种结合群落样方调查和遥感技术的监测草场健康状况的新方法。本文引入主成份分析方法(PCA),从包含12个反映群落各方面信息的变量中提取出3个有特定生态学意义的主成份,并进一步对其进行分析组合,得出一个能比较敏感、全面反映群落健康状况的新指标-草场健康指数(GHI)。 从6波段的植被光谱反射数据中比较理想地提取出2个主成份:可见光因子和红外光因子。表征群落总量、放牧退化的主成份和GHI与样方光谱反射值有相当的相关性,由此得到GHI与可光、红外光因子的回归模型。 应用此模型到卫星遥感数据(TM),得到GHI影像,并与同一数据的NDVI影像作对比研究,发现GHI在反映放牧等人为干扰对草原植被的影响效应方面比NDVI有明显的优点。此外,GHI影像对植被分布格局,特别是斑块结构有更好的显示效果。应用GHI到历史TM数据,对所研究地域的植被覆盖变化、农牧业的变迁模式等进行了定性研究。研究还发现有较长放牧史的过度放牧区的植被类型没有沿牧压梯度的规律性分布,而是呈随机斑块分布模式。
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本文从物种和景观两个组织水平上研究了气候、土壤、地形等自然环境因子和人类活动因子对生物空间分布格局的影响。基于锡林河流域地理信息系统各环境因子的专题数据,利用空间异质性分析方法研究了锡林河流域环境因子的空间分布格局;基于锡林河流域野外调查数据,运用空间异质性分析方法研究了重要物种的空间分布格局,并采用典范对应分析(Canomc Correspondence Analvsis,CCA)方法分析了物种分布与环境因子的关系:基于锡林河流域地理信息系统各环境因子的专题数据,研究了锡林河流域植被斑块的空间格局特征及其与环境因子的关系,并采用典范对应分析方法分析了植被类型组成与环境因子的关系:基于内蒙古草原生态系统定位研究站放牧样地的样方调查数据.采用空间异质性分析方法,研究了放牧压力对物种空间分布格局的影响:基于多年的卫星遥感数据,采用建模和对比等方法,研究了定居放牧方式下植被状况空间变化规律及植被状况时空变化与人类活动、社会经济发展的关系。通过上述分析,得到的主要结论如下: 1、锡林河流域各个环境因子都具有自己的空间特征尺度,共同形成多尺度等级体系,按特征尺度的大小可以分为如下3个组: ·小尺度组(15km左右):有机暖、全N的较小的特征尺度 ·中尺度组(30~50km):T1,碳酸钙含量.PER、全N和海拔高度的较小的特征尺度 ·大尺度组(100km左右):ANNR,PER、全N和海拔高度的较大的特征尺度多尺度等级的生态学意义是它反映生态变量异质斑块的镶嵌和包含特征,环境因子多尺度等级体系反映共性,具有普遍性:反映生态关系,具有生态学意义。 2、对物种空间异质性的Mantel检验和半方差分析得到了一致的结果产即羊草、糙隐子草和星毛萎菱菜在锡林河流域的空间分布呈现随机特征,而大针茅和冷蒿则表现为十分显著的格局特征。按分布格局的显著程度从大到小排列为冷蒿>大针茅>星毛萎菱菜>糙隐子草>羊草。理论半方差图显示大针茅和冷蒿的空间自相关域分别为30.447公里和30公里。物种空间分布格局是受自然条件、人类活动以及它们自身的生理生态特征综合决定的,物种自身的生理生态特征决定了它们对外界环境变化的适应性反应机制,而自然与人类活动这两种因素在空间的交错配置决定了物种适应性反应的方向和程度,从而综合导致物种空间分布格局的形成。 3、对锡林河流域物种分布与环境因子关系的CCA分析和交叉半方差方法分析显示:1)气候因子(11个指标)、土壤性状因子(3个指标)和地形因子(3个指标)对物种分布的贡献率分别为11.2%、9.5%和11%,三者总和为31.7%。2)各个环境因子对物种分布空间作用方向具有一致性,物种分布与环境因子几乎都在135。和157.5。两个方向上具有相对明显的相关性,从锡林河流域来看,这两个方向反映了气候、土壤以及地形从东南往西北的变化梯度方向。 4、对锡林河流域14个植被景观指数进行的PCA分析表明,锡林河流域植被斑块空间分布的物理特征主要表现在斑块的数目和大小方面,其次是在斑块的多样性方面,并可将它们分为4个组,分别反映锡林河流域植被斑块的不同特征: ·第一组:NP、PRD、LPI、MPS、PSSD和TE,主要反映景观斑块在数量和大小方面的特征; ·第二组:SHDI、SIDI、SHEI和SIEI,主要反映景观斑块的多样性特征; ·第三组:PSCV和[J].主要反映景观斑块之间的相互邻接程度; ·第四组:MSI和AWMSI,主要反映景观斑块的形状特征。 MPS和PSSD两个指数与环境因子无论是在相关系数的性质还是显著程度上都保持了很好的一致性,它们与纬度(LAT)及可能蒸散率(PER)呈极显著的正相关关系,而与经度(LNG)、海拔高度(ALT)、年平均降水量(ANNR)及土壤有机质含量(0RG)呈极显著的负相关关系:平均形状指数(MSI)只与LAT呈显著的正相关关系;多样性指数和扩散毗连指数与任何一个环境因子都没有表现出显著的相关性。 5、锡林河流域植被分布与环境因子的关系CCA排序方法分析表明,气候因子(11个指标)、土壤性状因子(3个指标)和地形因子(3个指标)对植被分布的贡献率分别为19.8%、11.1%和14.5%,三者总和为45.4%。环境因子在植被和物种两个水平上的贡献率表现了相似的特点,自然环境因子不能完全解释植被的空间分布,人类活动的影响应该受到重视。 6、放牧压力对物种空间分布格局的研究表明: ·牧压对温带典型草原物种的空间分布格局有明显的影响。随着牧云的增大,属于原生群落物种的羊草与大针茅空间分布的随机性减小,空间自相关尺度逐渐增大;而对于退化过程中的入侵物种冷蒿和星毛萎菱菜,其空间分布的随机性逐渐增大.空间自相关尺度也呈增大趋势。在牧压胁迫超过一定水平时,冷蒿空间分布的自相关尺度开始下降,而星毛萎菱菜的空间分布格局则表现出强烈的随机性。 ·物种空间格局的变化是反映群落演替过程较为稳定的特征,适用于不同放牧条件下 群落之间的比较。 7、利用遥感数据对人类活动对植被影响的研究表明: ·定居放牧方式下,NDVI随定居点距离的变化格局经历了3个阶段。第一阶段,草场处于原生阶段,NDVI不随距离变化;第二阶段,定居点附近开始局部退化,NDVI随距离增加而增大:第三阶段,退化区域扩大,NDVI不随距离变化。 ·在草场局部退化阶段,NDVI随距离的变化呈对数函数规律,定居点的放牧区具有放牧半径、原生NDVI值、NDVI变化率等特征。根据这些特征、NDVI对数规律以及NDVI与地上生物量的关系可以推测定居点的总载畜量。 ·锡林河流域从87年到85年NDVI值降低最大的区域为流域的中部和南部,这与这一区域人类活动强度以及社会经济发展具有密切关系。
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Seasonal snow cover in the mountains of the Upper Colorado River Basin is a major source of water for a large portion of the southwestern United States. The extent and amount of this snowpack not only reflects changes in weather patterns and climate but also influences the general circulation through modification of the energy exchange between land and atmosphere. ... Satellite observations and remote sensing techniques can enhance the standard snowpack observations to provide the temporal and spatial measurements required for understanding the role of snow in the surface energy balance and improving the management of water resources.