Dissertationen zum Thema „Vegetation support“
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Ch'ng, Eugene. „Developing artificial life simulations of vegetation to support the virtual reconstruction of ancient landscapes“. Thesis, University of Birmingham, 2007. http://etheses.bham.ac.uk//id/eprint/262/.
Der volle Inhalt der QuelleSchmidt, Johannes Matthias [Verfasser], und S. [Akademischer Betreuer] Schmidtlein. „Remote sensing in support of conservation and management of heathland vegetation / Johannes Matthias Schmidt ; Betreuer: S. Schmidtlein“. Karlsruhe : KIT-Bibliothek, 2017. http://d-nb.info/1144367670/34.
Der volle Inhalt der QuelleGalgamuwe, Arachchige Pabodha Galgamuwa. „Ecological restoration of an oak woodland in Kansas informed with remote sensing of vegetation dynamics“. Diss., Kansas State University, 2017. http://hdl.handle.net/2097/38196.
Der volle Inhalt der QuelleDepartment of Horticulture, Forestry, and Recreation Resources
Charles J. Barden
Recurrent, landscape-level fires played an integral part in the development and persistence of eastern oak (Quercus spp.) forests of the United States. These periodic surface fires helped secure a competitive position for oaks in the regeneration pool by maintaining a desirable species composition and forest structure. This historical fire regime was altered with the European settlement of North America, and fire suppression within forestlands became a standard practice since 1930s. With decades of fire suppression, mature oak-dominated woodlands have widely converted to shade-tolerant tree species. Prescribed fire has successfully been used to enhance oak regeneration in eastern forests. However, oak woodland restoration within the forest-prairie ecotone of the Central plains has not been systematically studied. Fuel beds under shade-tolerant species are often less conducive to fire. Therefore, monitoring fuel loading (FL) and its changes are essential to inform management decisions in an oak regeneration project. Rapid expansion of eastern redcedar (Juniperus virginiana/ERC) is another ecological issue faced by land managers throughout North America’s midcontinent forest-prairie ecotone. Hence, it is worthy to monitor ERC expansion and effects on deciduous forests, to inform oak ecosystem restoration interventions within this region. Therefore, the main objectives of this dissertation were three-fold: (1) understand the effects of prescribed burning and mechanical thinning to encourage oak regeneration; (2) investigate the initial effects of an oak regeneration effort with prescribed fire and mechanical thinning on FL; and (3) monitor the spatio-temporal dynamics of ERC expansion in the forest-prairie ecotone of Kansas, and understand its effects on deciduous forests. The first two studies were conducted on a 90-acre oak dominated woodland, north of Manhattan, Kansas. The experimental design was a 2 (burn) x 2 (thin) factorial in a repeated measures design. The design structure allowed four treatment combinations: burn only (B), thin only (T), burn and thin combined (BT), and a control (C). Burning and thinning treatments were administered in spring 2015. Changes in the FL estimates after the burn treatment revealed that the BT treatment combination consumed more fuel and burned more intensely compared to the B treatment. This observation was reflected in vegetation responses. The thinning reduced the canopy cover significantly, but under enhanced light environments, both oaks and competitive species thrived when no burn was incorporated. In contrast, burn treatments controlled the competitive vegetation. Hence, the most promising results were obtained when both fire and thinning were utilized. The remote sensing study documented the expansion of ERC in three areas of eastern Kansas over 30 years. The use of multi-seasonal layer-stacks with a Support Vector Machines (SVM) supervised classification was found to be the most effective approach to map ERC distribution. Total ERC cover increased by more than 6000 acres in all three study areas investigated in this study between 1986 and 2017. Much of the ERC expansion was into deciduous woodlands. Therefore, ERC control measures should be incorporated into oak woodland restoration efforts within the forest-prairie ecotone of Kansas.
Rains, Mark Cable. „Surface and ground-water origins and interactions and vegetation distributions in riverine and reservoir-fringe systems : a case study in support of reservoir management efforts /“. For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2002. http://uclibs.org/PID/11984.
Der volle Inhalt der QuelleBarreto-Munoz, Armando. „Multi-Sensor Vegetation Index and Land Surface Phenology Earth Science Data Records in Support of Global Change Studies: Data Quality Challenges and Data Explorer System“. Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/301661.
Der volle Inhalt der QuelleVinet, Jérôme. „Contribution a la modelisation thermo-aeraulique du microclimat urbain. Caracterisation de l'impact de l'eau et de la vegetation sur les conditions de confort en espaces exterieurs“. Nantes, 2000. http://portaildocumentaire.citechaillot.fr/search.aspx?SC=theses&QUERY=cour+ouverte#/Detail/%28query:%28Id:%270_OFFSET_0%27,Index:1,NBResults:1,PageRange:3,SearchQuery:%28CloudTerms:!%28%29,ForceSearch:!t,Page:0,PageRange:3,QueryString:vinet,ResultSize:10,ScenarioCode:theses,ScenarioDisplayMode:display-standard,SearchLabel:%27%27,SearchTerms:vinet,SortField:!n,SortOrder:0,TemplateParams:%28Scenario:%27%27,Scope:%27%27,Size:!n,Source:%27%27,Support:%27%27%29%29%29%29.
Der volle Inhalt der QuelleHostyn, Guillaume. „Contribution des fractions granulométriques grossières au fonctionnement des sols très anthropisés“. Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0088.
Der volle Inhalt der QuelleThe approaches of requalification of degraded sites increasingly answer the double challenge of depollution and valorization. The soils of these sites, known as "highly anthropized soils", are often characterized by a disturbed functioning due to anthropogenetic impacts. In particular, anthropic actives are responsible for the presence in these soils of exogenous materials, from both technogenic or natural origins, in varying quantities and natures. In this context, all the diagnoses and considerations regarding their management are carried out on the fine fraction, obtained after sieving at 2 mm, and ignore the so-called "coarse" fraction, which is often overrepresented (up to 50-60% by mass). This fraction, considered as inert, may not necessarily be so and its presence may have important consequences on the functioning of ecosystems and their future management.A dedicated methodological approach was developed. First, the dimensions and nature of the objects to be studied were precisely defined using an appropriate granulometric scale and the construction of a typology. This approach coupled to physico-chemical characterizations confirmed the efficiency of the tested screening strategy and fully enabled a precise and meaningful discrimination among coarse materials. The typology was thus implemented with composition characteristics of the material categories. On this basis, five reference materials (anthracite, brick, limestone, petroleum coke and blast furnace slag) were selected in order to allow for the generalization of the results. An adaptation process of standard soil analysis methods was then developed in order to assess the reactivity of coarse granulometric fractions. Results showed that coarse fractions are not inert. Their reactivity, although reduced compared to the fine fraction from a mass point of view, is only dependent on the type of material and the surface of the particles. Taken alone, the selected model materials present an insufficient level of fertility for plant development and are only marginally at the origin of toxicity. In an overall soil system, the coarse fraction constitutes a perennial stock of elements of interest that can be mobilized over time through the weathering processes generated by pedogenesis. The direct contribution of coarse fractions to plant nutrition was confirmed both under controlled conditions in the laboratory and in lysimeters at the pilot field scale. They also significantly contribute to water retention and storage. The type of material is the main factor governing the intensity of these effects.This thesis work has thus positioned the coarse granulometric fractions as being an active part of the functioning of highly anthropized soils. The results obtained provide new knowledge for stakeholders involved in soil engineering and highly anthropized soils management. To this end, a systematic procedure of diagnosis of coarse granulometric fractions has been proposed, the effects of which should serve two purposes, i) to enrich the knowledge related to the constituents of coarse fractions and ii) to allow an insightful decision-making process, based on a complete knowledge of the reality of a highly anthropized soil, authorizing an optimal and sensible management according to the targeted type of renaturation
Fehmi, Jeffrey S. „Research note: A rock mulch layer supported little vegetation in an arid reclamation setting“. TAYLOR & FRANCIS INC, 2017. http://hdl.handle.net/10150/627088.
Der volle Inhalt der QuelleZadeh, Saman Akbar. „Application of advanced algorithms and statistical techniques for weed-plant discrimination“. Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2352.
Der volle Inhalt der QuelleMärten, Arno [Verfasser], Georg [Gutachter] Büchel und Erika [Gutachter] Kothe. „The influence of silver birch vegetation on the metal availability in mining affected substrate and mycorrhiza-supported tree metal tolerance : an attempt of a holistic view on the system substrate-fungi-tree / Arno Märten ; Gutachter: Georg Büchel, Erika Kothe“. Jena : Friedrich-Schiller-Universität Jena, 2017. http://d-nb.info/1177594587/34.
Der volle Inhalt der QuelleŠoulová, Eva. „Městský hotel“. Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2016. http://www.nusl.cz/ntk/nusl-239951.
Der volle Inhalt der QuelleVlčková, Sabina. „Planetárium s kavárnou“. Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2016. http://www.nusl.cz/ntk/nusl-240186.
Der volle Inhalt der QuellePilný, Ondřej. „Zdravotnické středisko Hlinsko“. Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-372049.
Der volle Inhalt der QuelleBrites, Alice Dantas. „Monitoramento dos efeitos ecológicos e socioeconômicos da comercialização de produtos florestais não madereiros“. Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/90/90131/tde-24032011-215203/.
Der volle Inhalt der QuelleAmazon, non-timber forest products, ecological effects, socioeconomic effects, monitoring.
Costa, Daniel dos Santos. „Vegetation classification using UAV aerial imagery“. Master's thesis, 2017. http://hdl.handle.net/10316/82896.
Der volle Inhalt der QuelleNos últimos anos, os Veículos Aéreos Não Tripulados (VANT) têm sido cada vez mais utilizados quer para fins recreativos, quer para fins académicos. Até agora, imagens aéreas eram apenas recolhidas por satélite ou através de voos de elevada altitude, o que tornava o processo economicamente inviável.Os VANT, aliados com vários sensores, constituem uma excelente via para realizar monitorização à distância. O principal objetivo deste trabalho é classificar vários tipos de árvores em imagens aéreas recolhidas por um VANT. Para tal, foi usada uma plataforma aérea quadrotor com uma câmara de ação convencional para recolher imagens de várias espécies de árvores. A deteção e classificação das árvores nas imagens foi obtida através de um detetor de objetos baseado em descritores de canais agregados e em Máquinas de Vetores de Suporte (MVS). O detetor é aplicado a cada uma das imagens, identificando cada uma das regiões de interesse. Para cada uma dessas deteções, 4096 descritores são extraídos com um Rede Neuronal Convolucional (RNC), que são posteriormente usados como entrada para a MSV.Foram criados dois conjuntos de imagens e foram realizados testes a cada uma das componentes do sistema, individualmente, bem como à conjugação de todos os métodos.O primeiro conjunto de dados é usado para testar o detetor e o classificador separadamente e, por fim, os dois conjuntos são usados para testar a totalidade do sistema. O detetor gerou valores de exatidão na ordem dos 60% enquanto que o classificador gerou valores na ordem dos 77%. Por fim, o sistema resultante da conjugação do detetor e do classificador originou valores na ordem dos 65% usando o primeiro conjunto e 59% usando o segundo conjunto de imagens.
In the last years, Unmanned Aerial Vehicles (UAVs) have been used more and more with recreational purposes as well as academic ones. So far, aerial imagery was only obtained by satellite or by high altitude flights which are expensive to obtain, making the process, sometimes, economically unfeasible.The UAVs, associated with various types of sensors, constitute an excellent way to achieve advanced monitoring at a distance. The main goal of this dissertation is to classify various types of trees on aerial images. To achieve that purpose, a quadrotor equipped with a conventional action camera was used to retrieve images containing various tree species. The tree detection and classification was achieved by an Aggregated Channel Features (ACFs) Object Detector and Support Vector Machine (SVM). The detector is applied to each image, identifying every Region of Interest (ROI). For each one ofthose ROIs, 4096 features are extracted with a pre-trained Convolutional Neural Network (CNN), which are posteriorly used as input of the SVM.Two diferent datasets were created and several tests were made to each system componente individually as well as the totality of the system. First, dataset #1 is used to test both detector and classifier separately and, then, the overall system is tested using the two datasets. The detector revealed 60% of accuracy and the classifier originated values of accuracy around 77%. Finally, the resultant system has an overall accuracy of 65% using dataset #1 and 59% using dataset #2. .
Natividade, João Filipe Tavares. „Vegetation Classification monitored with Multispectral Aerial Images“. Master's thesis, 2017. http://hdl.handle.net/10316/83120.
Der volle Inhalt der QuelleNa Agricultura de Precisão (AP), a detecção e classificação de vegetação em culturas herbáceas (e.g., vinhas e árvores) é um passo crucial para a definição de objectivos consequentes, tais como a utilização de diferentes fertilizantes ou distintos níveis de hidratação.Um Veículo Aéreo Não Tripulado (VANT) foi montado e testado com o objetivo de desenvolver uma ferramenta de classificação (câmara ``multiespectral'') para ser usada em diferentes culturas. O sistema compreende uma plataforma aérea ``quad-rotor'', capaz de voar até alturas de 100 m acima do nível do solo. O presente trabalho desenvolve diferentes abordagens de segmentação que resultam na identificação da Região de Interesse (RDI) e, posteriormente, na sua classificação de acordo com a previsão fornecida por dois classificadores: Máquinas de Vectores de Suporte (MVS) e Árvores de Decisão (AD). As imagens são capturadas por um sistema composto por uma câmara (NoIR Raspberry Pi (RPi) - com um conjunto de cinco filtros ópticos acoplados à sua lente) conectada a um RPi, colocado no VANT para detecção de vegetação. As imagens foram adquiridas através de voos sobre os seguintes campos agrícolas: três vinhas com diferentes variedades de casta e florestas de cinco espécies de árvores (eucaliptos, pinheiros, oliveiras, laranjeiras e magnólias). Os testes mostram o desempenho dos dois classificadores, de acordo com a RDI identificada previamente por um algoritmo baseado em ``thresholding'' através de valores fornecidos pelo índice de vegetação NDVI. Os dois classificadores recebem dados de entrada fornecidos pelo cálculo de oito índices de vegetação. O algoritmo gerou valores de exactidão de 72% e 73% (para o Sistema de Reconhecimento de Padrões (SRP) associado ao conjuntos de dados #1 e #2, respectivamente, relacionados com as MVS) e 74% e 79% (para o SRP de acordo com os conjuntos de dados #1 e #2, respectivamente, relacionadas com os AD). O algoritmo é totalmente automatizado e a classificação é fornecida a partir do RPi para uma base de controlo, em tempo real, através duma conexão por Wi-Fi.
In Precision Agriculture (PA), detecting and classifying the vegetation in herbaceous crops (e.g., vineyards and trees) is a crucial step prior to address further objectives, such as specifying either different fertilizers or distinguished hydration levels. An Unmanned Aerial Vehicle (UAV) was assembled and tested with the aim of developing a classification tool (``multispectral'' camera) for both types of vineyard and tree species. The system comprises a quad-rotor aerial platform capable of flying up to heights of 100 m above the ground level. The present research work develops different segmentation approaches which result in the identification of the Region of Interest (ROI) and afterwards their classification according to the prediction provided by two different machine learning classifiers: Support Vector Machines (SVM)s and Decision Trees (DT)s. Along with the general description of the procedure, remotely-sensed images captured with a sensor (a NoIR Raspberry Pi (RPi) camera with a five optical filters wheel attached) connected to an RPi and mounted on the UAV, were applied for vegetation detection. Images were acquired while hovering above both fields of three vineyard species (with different grape varieties) and forests of five tree species (eucalyptus, pine trees, olive trees, orange trees and magnolias). The tests show the performance of both classifiers, according to the ROI identified by a thresholding algorithm based on Normalized Difference Vegetation Index (NDVI) measurements. The two classifiers receive input data provided by the computation of eight Vegetation Indices (VI)s.The algorithm has led to accuracy values of 72\% and 73\% (for the Pattern Recognition System (PRS) according to datasets #1 and #2, respectively, related to the SVMs and 74% and 79% (for the PRS according to datasets #1 and #2, respectively, related to the DTs). The entire algorithm is totally automated and the classification output is provided from the RPi to a ground station in real-time, by a Wi-Fi socket connection.
Hromádková, Lucie. „Klasifikace lučních porostů v Krkonoších s využitím leteckých hyperspektrálních dat a s pomocí vector machines klasifikace“. Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-350860.
Der volle Inhalt der QuelleMarcinkowska-Ochtyra, Adriana. „Ocena przydatności obrazów hiperspektralnych APEX oraz maszyn wektorów nośnych (SVM) do klasyfikacji roślinności subalpejskiej i alpejskiej Karkonoszy“. Doctoral thesis, 2017. https://depotuw.ceon.pl/handle/item/1908.
Der volle Inhalt der QuellePlant species and communities have specific properties, which can be analysed using hyperspectral remote sensing. Large number of narrow, contiguous, spectral bands at high spatial and spectral resolution allows to identify and analyse vegetation communities. The aim of the study was to classify subalpine and alpine vegetation communities based on APEX hyperspectral images using Support Vector Machines (SVM). The study area covers the subalpine and alpine vegetation zone of the Giant Mountains in Poland and Czechia. The APEX data characterized by 288 bands in the wavelength range 380.5-2500 nm and the spatial resoultion of 3.12 m were acquired on 10th September 2012 by the DLR Braunschweig (Germany) in the framework of the HyMountEcos (EUFAR) project. APEX data were calibrated radiometrically and corrected geometrically and atmospherically at VITO (Belgium) facilities. After that the dimensionality reduction using three different methods, involving Principal Component Analysis and Minimum Noise Fraction methods and spectral band selection approach, was performed. As reference the vector map of non-forest vegetation distribution at the 1:10 000 scale elaborated by Wojtuń and Żołnierz (2002) and field mapping were used. Based on reference vegetation map, 12-cm resolution orthophotomap and terrain validation performed in 2013 and 2014 using the GPS Trimble GeoXT receiver training and validation patterns were collected. Support Vector Machines were optimised on test areas near Szrenica and Mały Staw using different kernel functions, parameters, training/validation sample sets and different number of classes. Finally, classification was performed on whole area of Giant Mountains above 1200 m a.s.l., covering APEX flightline. As a result, post classification maps of 24 classes of subalpine and alpine vegetation were obtained. Validation samples allowed to assess the total, user, producer accuracies, kappa coefficient and error matrix. Overall accuracy for whole Giant Mountain area was 85.5%, kappa was 0.84, also accuracies for each class of vegetation communities were high – 17/24 classes were classified of more than 80% of producer accuracy. The highest accuracies achieved large, homogeneous classes (Carici (rigidae)-Festucetum airoidis, Carici (rigidae)-Nardetum, Calamagrostion, Molinia caerulea), the lowest – classes represented by smaller training sample sets, less homogeneous and difficult to identify because of the small areas, usually shaded (Adenostyletum alliariae, Salicetum lapponum). The results show that Imaging Spectroscopy and used methods are useful for the classification of the dominant plant communities of mountain areas.
Gil, Artur José Freire. „Using remote sensing data to support the development of methods for territorial and natural resources' characterization, assessement, planning and management“. Doctoral thesis, 2012. http://hdl.handle.net/10400.3/1331.
Der volle Inhalt der QuelleO principal objectivo desta Tese de Doutoramento foi avaliar a importância e demonstrar o acréscimo de precisão e eficiência associado ao uso de Tecnologias de Informação Geográfica (nomeadamente Detecção Remota e Sistemas de Informação Geográfica) no âmbito de instrumentos de planeamento e gestão dos recursos naturais em “Pequenas Ilhas Oceânicas”. Três diferentes escalas geográficas foram usadas para enquadrar e desenvolver os cinco casos de estudo que constituem os capítulos (e artigos científicos) desta Tese: o Arquipélago dos Acores (escala regional), a ilha de São Miguel (escala de ilha) e a Zona de Proteção Especial Pico da Vara/Ribeira do Guilherme (escala local). Os cinco estudos desenvolvidos foram os seguintes: (1) Proposta metodológica para a definição da Estrutura Ecológica em pequenas ilhas oceânicas: o caso de estudo da ilha de São Miguel (Arquipélago dos Açores, Portugal); (2) Proposta metodológica para a elaboração de Planos de Gestão de Sítios da Rede Natura 2000; (3) Avaliação da adequabilidade de imagens de satélite de alta resolução para cartografia da vegetação em Áreas Protegidas localizadas em pequenas ilhas oceânicas; (4) Detecção e cartografia de espécies exóticas invasoras lenhosas nas Áreas Protegidas dos Acores usando imagens de satélite de alta resolução; (5) Correspondência entre a componente espacial do Programa GMES e as políticas ambientais das Regiões Ultraperiféricas da Europa – o caso de estudo da Região Autónoma dos Acores. Todos os resultados destes estudos reforçaram a pertinência e a importância da produção, integração e processamento de Informação Geográfica de qualidade em todas as fases dos procedimentos de Planeamento e Gestão Territorial, maximizando a sua importante função de suporte operacional a decisão em qualquer escala geográfica (regional, ilha ou local), alicerçada em informação mais precisa e objectiva e com melhor relação custo-benefício, por via do uso adequado das tecnologias de Detecção Remota e Sistemas de Informação Geográfica.
ABSTRACT: The main goal of this Doctoral Thesis was to assess the importance and effectiveness of using Geographic Information and Remote Sensing Technologies within the framework of different Small Islands’ Natural Resources Planning and Management instruments in order to improve their efficiency. Three distinct geographic scales, Azores Archipelago (at regional level), S. Miguel Island (at island level) and Pico da Vara/Ribeira do Guilherme Special Protected Area (at local level) were used as study areas for five different case-studies, individually described and analyzed: (1) Mapping the ecological structure in small islands: the case-study of S. Miguel island (Archipelago of the Azores, Portugal); (2) A Methodological Proposal for the Development of Natura 2000 Sites Management Plans; (3) Assessing the effectiveness of high resolution satellite imagery for vegetation mapping in small islands protected areas; (4) Mapping invasive woody plants in Azores Protected Areas by using high-resolution multispectral imagery; (5) Linking GMES Space Component Sentinel Missions to Outermost Region’s environmental policies development – the Azores (Portugal) case-study. All the case-study’s conclusions have converged and reinforced the importance of using and integrating accurate Geographic Information and Remote Sensing Technologies into all phases of Land Management and Environmental Planning instruments, in order to increase the accuracy of the results and also the cost-effectiveness of the operational schemes.
This Ph.D. Research Project (M3.1.2/F/025/2007) is supported by the Regional Fund for Science and Technology funded by the Azorean Regional Government/Secretary of Science, Technology and Equipment.
李怡芬. „A study to research the family relationship network and society support for caregivers of taking care of vegetative----using the Taipei County as an example“. Thesis, 2009. http://ndltd.ncl.edu.tw/handle/66185187549721182315.
Der volle Inhalt der Quelle國立政治大學
行政管理碩士學程
97
The 21st century is a time of economic prosperity and technological advancement. However, the world is facing challenges from the problems of the rapidly aging population, increasing longevity, the surging of chronic disease, in addition to epidemics and flues spreading faster then before. Most hospital beds in Taiwan are considered to be “acute hospital beds”, where vegetative patients are considered by the National Health Insurance to be suffering from a chronic disease and not as major illness/injury. There is no extra medical subsidy for these vegetative patients, and only limited payments for home care. Unfortunately, due to the inefficient funding for health insurance, we are concerned that medical resources might become exhausted in the future. Also, a vegetated patient is required to leave the hospital whenever his or her condition becomes stable. They are unable to remain in the hospital for long-term and professional care, which causes the families with vegetated patients to suffer emotionally and economically. Thus, studying ways for vegetated patients to obtain more professional, human, and dignified care is an important issue worthy of research. This study uses an in-depth interview method from quantitative research. 12 families with vegetative patients in Taipei County are the subjects of the interview. In-depth discussions are conducted on the difficulties for families who take care of a vegetative patient, and who have employment in the urban area. The information obtained was categorized and analyzed. 1. Nursing manpower insufficiency Due to the shifting of family structure in the urban area, there are not enough people in the family to take care of the vegetated patient. It is not possible to predict when a medical breakthrough will enable the patient to regain consciousness. Moreover, there is only a slight chance a vegetated patient suffering from head trauma for a long period of time can be revived again. 2. Dependence on foreign nurse aides By hiring foreign nurse aids, the dual-earner families in the Taipei metro area are able to get relief from the burden of caring for a vegetative patient. However, it is not a long-term solution. 3. The need for long-term care. Therefore, it is very important to construct a long-term care system for the vegetated patient to be able to receive quality medical care. Furthermore, Taiwan will benefit from showing respect for life, the importance of social care, and the value of helping each other. 4. Trying new concepts. Perhaps in the foreseeable future, we will accept things such as euthanasia or pre-paid medical contracts due to the changes in education and social attitudes. We might accept that one of our family members might be facing long-term care in the future, so any one of us is able to make arrangements before an unforeseen accident or illness results in becoming a vegetated patient. 5. Co-operation between the government and the people. This is an important issue for the method of constructing a long-lasting system that can combine medicine, labor, social welfare, and benefits for senior citizens and vegetated patients. However, it will take the cooperation of both government and the people to make Taiwan into a peaceful land that will respect their elders and respect life. Some suggestions have been developed as a result of this study: 1. suggestions to families: a balanced diet, exercise regularly, and strengthen the unity between family members. 2. suggestions to the medical team: develop hospital websites, prevent diseases that can cause vegetation, and the social worker consulting team should help families to implement a long-term community care system. 3. Suggestions to schools: add life and death lessons into the school’s curriculum, reinforce the concept of health education and a basic caring method, as well as increase community service, and teach methods for relieving stress. 4. Suggestions to the government: linking information by using a single window to handle all processes, use colloquial language for promoting policies, the policies should first be implemented in off-shore islands before being used in the main island, implement a long-term care system, and provide subsidies to those who hire domestic nurse aids. Keyword: National Health Insurance, Vegetative, Long-Term care, Home care, Euthanasia, Pre-paid medical contract