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1.
The vegetation communities and spatial patterns on the Fire Island National Seashore are dynamic as the result of interactions with driving forces such as sand deposition, storm-driven over wash, salt spray, surface water, as well as with human disturbances. We used high spatial resolution QuickBird-2 satellite remote sensing data to map both terrestrial and submerged aquatic vegetation communities of the National Seashore. We adopted a stratified classification and unsupervised classification approach for mapping terrestrial vegetation types. Our classification scheme included detailed terrestrial vegetation types identified by previous vegetation mapping efforts of the National Park Service and three generalized categories of high-density seagrass, low-density seagrass coverages, and unvegetated bottom to map the submerged aquatic vegetation habitats. We used underwater videography, GPS-guided field reference photography, and bathymetric data to support remote sensing image classification and information extraction. This study achieved approximately 82% and 75% overall classification accuracy for the terrestrial and submnerged aquatic vegetations, respectively, and provided an updated vegetation inventory and change analysis for the Northeast Coastal and Barrier Network of the National Park Service. 相似文献
2.
《Oceanologica Acta》2002,25(6):297-302
Aerial photographs and in situ data of the Urbinu Lagoon (one of the largest and deepest ponds in Corsica, Mediterranean Sea) permit the establishment of a cartography of its aquatic benthic assemblages and types of sea-beds. It was possible to distinguish in the photographs submerged structures such as: sand, pebbles, mud and seagrass meadows. Seagrass beds were the predominant vegetation type in this lagoon (comprising 14–29% of the total area depending on the year studied), and their distribution was incorporated into a geographical information database, and then compared with historical data. Temporal and spatial change in seagrass meadows was assessed between 1990 and 1997. Change in total extent was evaluated through a map to map comparison of data interpreted from image processing using colored aerial photographs (1990, 1994 and 1997). The overall net change was a 12% decrease between 1990 and 1994 and a 16% increase between 1994 and 1997. These observations imply that regressions are not irreversible over the past 7 years, and show that seagrass meadows in this area have been stable despite environmental perturbations, since the lost zones were recolonized. 相似文献
3.
中国陆地与海岛植被分类研究综述与展望 总被引：3，自引：0，他引：3
为了对海岛植被进行分类,确定海岛植被型,本文首先较为全面地回顾了中国陆地植被分类和区划的研究历程,在分析植被分类理论和方法的基础上,以东海浙闽海岛(平潭岛以北)所在海域为例,提出探索海岛植被分类与气候控制因子关系、进而研究海岛植被型及其空间分布的思路与方法;其次,依据陆地植被分类的理论方法和研究结果,探讨了东海浙闽海岛的可能植被型,认为海岛植被型n应在陆地植被型范畴内,其数量是陆地植被型m中的若干(n/m);最后,由于海岛所处海域的气候与毗邻陆地不同,因此对海洋气候的控制因子进行了分析,提出尝试通过控制因子的特征和演变规律分析,进而推演海岛植被型及分布,同时结合植被调查经验和方法进行验证的海岛植被分类方法。 相似文献
4.
Seagrass and seaweed beds play important roles in coastal marine ecosystems. They are food sources and habitats for many marine organisms, and influence the physical, chemical, and biological environment. They are sensitive to human impacts such as reclamation and pollution. Therefore, their management and preservation are necessary for a healthy coastal environment. Satellite remote sensing is a useful tool for mapping and monitoring seagrass beds. The efficiency of seagrass mapping, seagrass bed classification in particular, has been evaluated by mapping accuracy using an error matrix. However, mapping accuracies are influenced by coastal environments such as seawater transparency, bathymetry, and substrate type. Coastal management requires sufficient accuracy and an understanding of mapping limitations for monitoring coastal habitats including seagrass beds. Previous studies are mainly based on case studies in specific regions and seasons. Extensive data are required to generalise assessments of classification accuracy from case studies, which has proven difficult. This study aims to build a simulator based on a radiative transfer model to produce modelled satellite images and assess the visual detectability of seagrass beds under different transparencies and seagrass coverages, as well as to examine mapping limitations and classification accuracy. Our simulations led to the development of a model of water transparency and the mapping of depth limits and indicated the possibility for seagrass density mapping under certain ideal conditions. The results show that modelling satellite images is useful in evaluating the accuracy of classification and that establishing seagrass bed monitoring by remote sensing is a reliable tool.
相似文献5.
Mapping benthic macroalgal communities in the coastal zone using CHRIS-PROBA mode 2 images 总被引：2，自引：0，他引：2
G. Casal T. KutserJ.A. Domínguez-Gómez N. Sánchez-CarneroJ. Freire 《Estuarine, Coastal and Shelf Science》2011,94(3):281-290
The ecological importance of benthic macroalgal communities in coastal ecosystems has been recognised worldwide and the application of remote sensing to study these communities presents certain advantages respect to in situ methods. The present study used three CHRIS-PROBA images to analyse macroalgal communities distribution in the Seno de Corcubión (NW Spain). The use of this sensor represent a challenge given that its design, build and deployment programme is intended to follow the principles of the “faster, better, cheaper”. To assess the application of this sensor to macroalgal mapping, two types of classifications were carried out: Maximum Likelihood and Spectral Angle Mapper (SAM). Maximum Likelihood classifier showed positive results, reaching overall accuracy percentages higher than 90% and kappa coefficients higher than 0.80 for the bottom classes shallow submerged sand, deep submerged sand, macroalgae less than 5 m and macroalgae between 5 and 10 m depth. The differentiation among macroalgal groups using SAM classifications showed positive results for green seaweeds although the differentiation between brown and red algae was not clear in the study area. 相似文献
6.
为提高遥感影像融合质量,提升资源一号(ZY-1 02D)高光谱遥感影像滨海湿地植被分类精度,提出将ZY-1 02D高光谱影像与空间分辨率为10 m的哨兵2号(Sentinel-2)影像进行Brovey融合,并通过搭建AlexNet卷积神经网络对ZY-1 02D高光谱影像和Brovey融合影像的滨海湿地植被进行分类,与支持向量机、随机森林和BP神经网络分类算法进行精度对比。研究结果表明:经Brovey融合后,AlexNet、支持向量机、随机森林和BP神经网络算法的植被分类总体精度分别提高15.60%、7.00%、14.80%和10.00%,Kappa系数提高了21.35%、9.93%、18.97%、12.85%;基于Brovey影像融合与AlexNet算法的植被分类精度最高,总体精度为92.40%,Kappa系数为89.42%。空谱融合配合AlexNet卷积神经网络有效解决了高光谱遥感影像在滨海湿地植被分类应用中精度较低的问题,为滨海湿地植被资源动态监测提供技术和方法支撑。 相似文献
7.
8.
In 1902, the Florida red mangrove, Rhizophora mangle L., was introduced to the island of Molokai, Hawaii, and has since colonized nearly 25% of the south coast shoreline. By classifying three kinds of remote sensing imagery, we compared abilities to detect invasive mangrove distributions and to discriminate mangroves from surrounding terrestrial vegetation. Using three analytical techniques, we compared mangrove mapping accuracy for various sensor-technique combinations. ANOVA of accuracy assessments demonstrated significant differences among techniques, but no significant differences among the three sensors. We summarize advantages and disadvantages of each sensor and technique for mapping mangrove distributions in tropical coastal environments. 相似文献
9.
The application of two approaches to radiometric correction of Landsat data and their further classification has made it possible to compile maps of the distribution pattern of sea grass at the East Site of the Far East National Marine Reserve (FEMR). The mapping accuracy, evaluated with the use of field data, has shown that the bottom reflectance index makes it possible to increase the accuracy of maps compared to the depth-invariant index. The areas of aquatic plants have been calculated from 2001, 2013, and 2014 data. It has been shown that the approaches for processing remote data are useful for monitoring nearshore vegetation. 相似文献
10.
This article evaluates different spatial interpolation methods for mapping submerged aquatic vegetation (SAV) in the Caloosahatchee Estuary, Florida. Data used for interpolation were collected by the Submersed Aquatic Vegetation Early Warning System (SAVEWS). The system consists of hydro-acoustic equipment, which operates from a slow-moving boat and records bottom depth, seagrass height, and seagrass density. This information is coupled with geographic location coordinates from a Global Positioning System (GPS) and stored together in digital files, representing SAV status at points along transect lines. Adequate spatial interpolation is needed to present the SAV information, including density, height, and water depth, as spatially continuous data for mapping and for comparison between seasons and years. Interpolation methods examined in this study include ordinary kriging with five different semivariance models combined with a variable number of neighboring points, the inverse distance weighted (IDW) method with different parameters, and the triangulated irregular network (TIN) method with linear and quintic options. Interpolation results were compared with survey data at selected calibration transects to examine the suitability of different interpolation methods. Suitability was quantified by the determination coefficient (R2) and the root-mean-square error (RMSE) between interpolated and observed values. The most suitable interpolation method was identified as the one yielding the highest R2 value and/or the lowest RMSE value. For different geographic conditions, seasons, and SAV parameters, different interpolation methods were recommended. This study identified that kriging was more suitable than the IDW or TIN method for spatial interpolation of all SAV parameters measured. It also suggested that transect data with irregular spatial distribution patterns such as SAV parameters are sensitive to interpolation methods. An inappropriate interpolation method such as TIN can lead to erroneous spatial representation of the SAV status. With a functional geographic system and adequate computing power, the evaluation and selection of interpolation methods can be automated and quantitative, leading to a more efficient and accurate decision. 相似文献
11.
滨海湿地是介于陆地生态系统和水生生态系统之间的特殊生态系统，是珍贵的湿地资源，具有重要的生态系统功能。掌握滨海湿地的分布状况对于我国滨海湿地自然资源的保护和管理意义重大。文章基于2018—2019年“哨兵2号”卫星10 m分辨率多光谱影像，完成广东、广西和海南滨海湿地的遥感制图；对岩石海岸、砂石海滩、淤泥质海滩、潮间盐水沼泽、红树林、河口水域、河口三角洲/沙洲/沙岛、海岸性咸水湖、海岸性淡水湖、浅海水域共10个亚类建立解译标志，通过目视解译，对滨海湿地进行分类和统计。研究结果显示：广东、广西和海南滨海湿地面积共计1 377 140 hm2，各地滨海湿地面积与岸线长度基本呈正相关，海岸线越长，滨海湿地面积越大，各地典型滨海湿地的类型也不相同。 相似文献
12.
This article evaluates different spatial interpolation methods for mapping submerged aquatic vegetation (SAV) in the Caloosahatchee Estuary, Florida. Data used for interpolation were collected by the Submersed Aquatic Vegetation Early Warning System (SAVEWS). The system consists of hydro-acoustic equipment, which operates from a slow-moving boat and records bottom depth, seagrass height, and seagrass density. This information is coupled with geographic location coordinates from a Global Positioning System (GPS) and stored together in digital files, representing SAV status at points along transect lines. Adequate spatial interpolation is needed to present the SAV information, including density, height, and water depth, as spatially continuous data for mapping and for comparison between seasons and years. Interpolation methods examined in this study include ordinary kriging with five different semivariance models combined with a variable number of neighboring points, the inverse distance weighted (IDW) method with different parameters, and the triangulated irregular network (TIN) method with linear and quintic options. Interpolation results were compared with survey data at selected calibration transects to examine the suitability of different interpolation methods. Suitability was quantified by the determination coefficient (R2) and the root-mean-square error (RMSE) between interpolated and observed values. The most suitable interpolation method was identified as the one yielding the highest R2 value and/or the lowest RMSE value. For different geographic conditions, seasons, and SAV parameters, different interpolation methods were recommended. This study identified that kriging was more suitable than the IDW or TIN method for spatial interpolation of all SAV parameters measured. It also suggested that transect data with irregular spatial distribution patterns such as SAV parameters are sensitive to interpolation methods. An inappropriate interpolation method such as TIN can lead to erroneous spatial representation of the SAV status. With a functional geographic system and adequate computing power, the evaluation and selection of interpolation methods can be automated and quantitative, leading to a more efficient and accurate decision. 相似文献
13.
作为黄河口地区两种典型的植被群落类型,芦苇群落(Comm. Phragmites australis)与互花米草群落(Comm. Spartina alterniflora)在遥感影像的表征较为相似,利用单时相遥感影像识别时,易存在混淆区域。工作中发现,两种植被处于不同生长期时,其遥感影像具有不同的表征。为了提高黄河口地区芦苇、互花米草两类植被群落遥感识别结果的可靠性,本文通过获取多时相遥感影像中芦苇、互花米草群落纯净像元的光谱值,分析植被"红边"光谱曲线随时间的变化特征,进一步计算研究区多期遥感影像NDVI (Normalized Difference Vegetation Index),提取纯净像元的NDVI值,对比分析这两种植被NDVI指数在时间序列上的变化特征,发现芦苇群落与互花米草群落的NDVI值在时间序列上存在明显区别。结果表明,利用5月的影像能够较好地识别芦苇群落的分布范围,利用11月影像能够较好地识别互花米草群落的分布范围。本研究结果可为今后黄河口地区这两类典型植被群落的遥感识别方法研究提供可靠依据。 相似文献
14.
为了最大限度发挥我国发射的第一颗海洋卫星宝贵资料的作用，本项目以长江口为研究示范区，利用第四代可视化计算机语言IDL为工具，研究开发了HY—1卫星资料的植被信息提取应用系统。该软件不但具有通用的图象信息读取、彩色合成、边缘增强、平滑处理等信息增强功能，还具有不同植被指数计算、植被指数基础上的监督和非监督分类等专用功能。基本能够满足利用HY—1卫星数据提取植被信息的要求。目前，该系统经过试验运行和实况验证，取得了良好的运行效率和精度较高的植被遥感信息提取、分类结果。从而为有效应用HY—1卫星数据进行植被资源信息的提取提供了重要技术保证。 相似文献
15.
Analysis, synthesis and modelling of high-resolution observations of salt-marsh eco-geomorphological patterns in the Venice lagoon 总被引：1，自引：0，他引：1
Marco Marani Enrica Belluco Sergio Ferrari Sonia Silvestri Andrea D'Alpaos Stefano Lanzoni Alessandra Feola Andrea Rinaldo 《Estuarine, Coastal and Shelf Science》2006,69(3-4):414
The present paper describes observations, analyses and models of salt-marsh channel network and vegetation patterns with the aim of contributing to the development of predictive models of ecological and morphological co-evolution. Existing and new observations are described, with particular emphasis on remote sensing and ancillary field surveys, which are shown to allow reliable, accurate and repeatable quantitative characterizations of landform and vegetation properties over the spatial scales of interest. The observed channel network morphological characters are then used as the basis and validation of models describing the emergence of channel network and vegetation spatial patterns. In particular, with reference to observations performed in the Venice Lagoon, the note describes: (i) new, 2-cm resolution, characterizations of channel network geometry obtained from “proximal sensing” photographic observations; (ii) the reliable quantitative maps of salt-marsh vegetation which may be retrieved from hyperspectral remote sensing data and field ancillary observations; (iii) a synthesis of recent and new analyses of the statistical properties of vegetation and landform spatial organization, that may be inferred from the maps so derived; (iv) recent and new conceptual and quantitative ecological and geomorphic models developed and validated by remote-sensing and field observations. A coherent observational and theoretical eco-morphodynamic framework is then proposed. 相似文献
16.
海草的卫星遥感研究进展 总被引：2，自引：0，他引：2
海草、沙滩、砾石以及淤泥等不同底质类型对光谱的反射率不同,通过卫星遥感检测反射率的变化可以鉴别海草等底质类型。由于海草体内含有叶绿素a、叶绿素b以及花青素和叶黄素等色素,通过检测这些色素的光谱可以对海草分布以及生存状态进行卫星遥感检测。主要从多光谱、高光谱等角度对近岸光学浅水中海草的卫星遥感以及国内对海草和水体生物光学研究状况等方面进行阐述,并对未来的研究趋势进行展望。 相似文献
17.
三都湾互花米草的遥感监测 总被引：8，自引：0，他引：8
本文尝试通过分析滩涂上外来入侵植物群落的植物学和生态学特征,就闽东宁德地区三都湾海域的互花米草生长与变化状况,探讨如何实现利用遥感数据快速监测滩涂上的外来入侵植物的方法,为生物入侵监控工作提供决策依据.研究表明以缨帽变换的方法处理LandsatETM 和TM多光谱数据所获得的土壤视面和植被视面为基础,进行分层次分类可监测滩涂上互花米草的生长与分布扩展状况. 相似文献
18.
A. Vela V. Pasqualini V. Leoni A. Djelouli H. Langar G. Pergent C. Pergent-Martini L. Ferrat M. Ridha H. Djabou 《Estuarine, Coastal and Shelf Science》2008,79(4):591-598
Mapping marine biocenoses is an efficient method for providing useful data for the management and conservation of Mediterranean lagoons. Fused images from two satellites, SPOT 5 and IKONOS, were tested as management tools for identifying specific ecosystems in the El Bibane lagoon, situated in southern Tunisia near the Libyan border. The objectives of this study were to provide a precise map of the entire El Bibane lagoon using fused images from SPOT 5 and to compare fused images from SPOT 5 and IKONOS over a test-area. After applying a supervised classification, pixels are automatically classified in four classes: low seagrass cover, high seagrass cover, superficial mobile sediments and deep mobile sediments. The maps of the lagoon revealed and confirmed an extremely wide distribution of seagrass meadows within the lagoon (essentially Cymodocea nodosa; 19 546 ha) and a large area of mobile sediments more or less parallel to the shore (3 697 ha). A direct comparison of overall accuracy between SPOT 5 over the entire area, SPOT 5 over the test-area and IKONOS over the test-area revealed that these tools provided accurate mapping of the lagoon environment (83.25%, 85.91% and 73.41% accuracy, respectively). The SPOT 5 images provided greater overall accuracy than the IKONOS image, but did not take into account the heterogeneous spatial structure of the seagrasses and sediments present in the lagoon environment. Although IKONOS imagery provided lower overall accuracy than SPOT 5, it proved a very useful tool for the mapping of heterogeneous structures as it enabled the patchiness of formations to be better taken into account. The use of SPOT 5 and IKONOS fused images appears to be very promising for completing the mapping of lagoons in other regions and countries of the Mediterranean Sea. 相似文献
19.
海草生长在热带、亚热带和温带海洋水域, 是全球海洋生态系统中重要的结构和功能组成部分, 具有极高的生态服务价值。由于受到人类活动和自然灾害的强烈影响, 海草正在全球范围内快速衰退, 因此开展海草资源监测与保护具有非常重要的意义。随着传感器技术的发展, 光学遥感在海草监测中表现出卓越优势。本文综述了国内外海草遥感监测研究现状, 重点总结了研究内容、技术和方法, 论证了海草光学遥感监测的可行性, 旨在为我国海草光学遥感监测厘清适宜数据和可靠技术方法, 并指明潜在研究方向。同时也希望能为海草遥感监测提供借鉴, 并拓展海草资源科学管理的思路。 相似文献
20.
Ele Vahtm?e Tiit Kutser Jonne Kotta Merli P?rnoja Tiia M?ller Lennart Lennuk 《Oceanology》2012,52(6):803-809
It is known that the structure of benthic macrophyte and invertebrate habitats indicate the quality of coastal water. Thus, a large-scale analysis of the spatial patterns of coastal marine habitats makes it possible to adequately estimate the status of valuable coastal marine habitats, provide better evidence for environmental changes, and describe the processes behind the changes. Knowing the spatial distribution of benthic habitats is also important from the coastal management point of view. Our previous results clearly demonstrated that remote sensing methods can be used to map water depth and distribution of taxonomic groups of benthic algae (e.g., red, green, and brown algae) in the optically complex coastal waters of the Baltic Sea. We have as well shown that benthic habitat mapping should be done at high spatial resolution owing to the small-scale heterogeneity of such habitats in Estonian coastal waters. Here we tested the capability of high spatial resolution hyperspectral airborne image in its application for mapping benthic habitats. A big challenge is to define appropriate mapping classes that are also meaningful from the ecological point of view. In this study two benthic habitat classification schemes??broader level and finer level??were defined for the study area. The broader level classes were relatively well classified, but discrimination among the units of the finer classification scheme posed a considerable challenge and required a careful approach. Benthic habitat classification provided the highest accuracy in the case of the Spectral Angle Mapper classification method applied to a radiometrically corrected image. Further processing levels, such as spatial filtering and glint correction, decreased the classification accuracy. 相似文献