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Monitoring land use and land cover changes in Belize, 1993-2003 : a digital change detection approach /Ek, Edgar. January 2004 (has links)
Thesis (M.S.)--Ohio University, August, 2004. / Includes bibliographical references (p. 98-101).
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Monitoring land use and land cover changes in Belize, 1993-2003 a digital change detection approach /Ek, Edgar. January 2004 (has links)
Thesis (M.S.)--Ohio University, August, 2004. / Title from PDF t.p. Includes bibliographical references (p. 98-101)
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Remote sensing technology for environmental plan monitoring a case study of the comprehensive Monday Creek Watershed plan.Cummins, Shannon E. January 2002 (has links)
Thesis (M.A.)--Ohio University, June, 2002. / Title from PDF t.p.
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In-situ monitoring using nano-satellites : a systems level approachDixon, Benjamin Deon January 2015 (has links)
Thesis (MTech (Electrical Engineering))--Cape Peninsula University of Technology, 2015. / Traditional satellite systems employed for use with in-situ monitoring systems are large
satellites that have a long development time, high cost and complex sub-systems. The end use of relaying data for in-situ monitoring becomes a costly application for the end user. Shifting this application to make use of nano-satellites, such as CubeSats, for data relaying will make the application more attractive to the end user when measurements are required outside existing ground based communications infrastructure. CubeSats are small, simple satellites that yield a short development time and very low cost compared to conventional satellites. Their sub-systems are generally built from off the shelf components. This keeps the designs simple, manufacture cost low with the potential for flying the latest technologies. This research set out to analyse various scenarios related to in-situ monitoring governed by parameters such as the maximum revisit time, satellite orbit altitude, quantity of sensor nodes and data quantity relayed in the system. A systems level approach is used to analyse each designed scenario using a simulation tool called Systems Tool Kit by Agilent Graphics Incorporated. The data acquired for each scenario through simulation was validated using theoretical approximation methods, which included parameters such as coverage potential, total node access time, communication link performance, power resources, memory resources, access time and number of ground stations. The focus was put on these parameters since they are the main constraints when designing a system using nano-satellites. The outcome of the research was to create an analysis reference for designing an in-situ monitoring system using nano-satellites. It outlines the methods used to calculate and simulate each of the constraints governing the system. Each designed scenario showed satisfactory performance within the defined parameters and can be practically implemented
as a reference for designing similar systems. / National Research Foundation / South African National Space Agency
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Development of a remote sensing technique for woody vegetation in Rotenberger Wildlife Management AreaUnknown Date (has links)
The Florida Fish and Wildlife Conservation Commission lacks a viable method for monitoring woody vegetation in expansive wetland communities, such as the Florida Everglades. This study used aerial photographs of Rotenberger Wildlife Management Area in southeastern Palm Beach County, Florida to develop techniques for remotely monitoring changes in woody vegetation. Imagery from 2006, 2008, and 2010 were classified into woody and non-woody categories using Adobe Photoshop's Magic Wand Tool. Selection was performed with a bias toward over classification, as project objectives required identifying as many trees as possible. Classified pixels in Time 1 within 4 feet (2 pixels) of classified pixels from Time 2 were considered the same canopy. Overall accuracy for the study was 98%. / by Sarah Franklin. / Thesis (M.A.)--Florida Atlantic University, 2011. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.
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Design of a low power wireless sensor network for environmental monitoringSpreeth, Gideon 12 1900 (has links)
Thesis (MScEng (Electrical and Electronic Engineering))--Stellenbosch University, 2008. / A WSN (wireless sensor network) consists of a collection of small, low power electronic
devices that can sense their environment and communicate with each other in order to
send data to a base station for logging and monitoring. Research done on WSNs has
increased rapidly over the past few years, as the necessary RF hardware has become
cheaper and smaller. The wealth of information and hardware available in this field has
made it possible to design and deploy networks for a multitude of monitoring purposes,
on almost any terrain, without an existing telecommunication infrastructure.
This thesis presents research into some major aspects of WSNs and the implementation of
a test system with wireless sensor motes, that can be used for environmental monitoring,
conservation purposes, impact studies, early warning systems for floods, fires etc. The
system also has a wide range of possible uses in agriculture, as more data and better
control over crops can increase yield.
The power constraint of sensor nodes is one of the biggest concerns, as batteries can
be depleted quickly and render a system useless. For this reason, work was focused on
reducing power consumption of the hardware by means of various methods. Power use was
also simulated very successfully, giving a accurate way of predicting node lifetime with
a variety of battery types. The system was implemented on the Tmote Sky hardware
platform using the open source sensor network operating system, TinyOS.
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Photosynthetic CO2 exchange and spectral vegetation indices of boreal mossesVan Gaalen, Kenneth Eric, University of Lethbridge. Faculty of Arts and Science January 2005 (has links)
Moss dominated ecosystems are an important part of the global terrestrial carbon cycle. Over large areas, remote sensing can be useful to provide an improved understanding of these ecosystems. Two boreal mossess (Pleurozium and Sphagnum) were assessed using remote sensing based spectral vegetation indices for estimating biochemical capacity and photosynthetic efficiency by varying net photosynthesis rate via changes in water content. In the laboratory, changes in the normalized difference vegetation index (NDVI) and chlorophyll index coincided with declining photosynthetic capacity due to desiccation. This effect was more dramatic in Sphagnum. The photochemical reflectance index (PRI) did not vary with changes in CO2 supply as anticipated, possibly due to overriding effects of changing water content. The water band index (WBI) was strongly related to water content but this relationship showed an uncoupling in the field. Bi-directional reflectance measurements indicated what WBI was sensitive to sensor, sun, and moss surface slope angles. / xi, 110 leaves : ill. (some col.) ; 29 cm.
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Rede de sensores sem fio de baixo custo para monitoramento ambiental / Low cost wireless sensor network for environmental monitoringSilva, Marcel Salvioni da, 1980- 24 August 2018 (has links)
Orientador: Fabiano Fruett / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-24T05:13:30Z (GMT). No. of bitstreams: 1
Silva_MarcelSalvionida_M.pdf: 30571418 bytes, checksum: 4cd818ffde793df4bbebdbbf472d1b6b (MD5)
Previous issue date: 2013 / Resumo: Existem diversos sistemas e equipamentos, com finalidades específicas, envolvendo o monitoramento das mudanças de clima e de tempo. Entretanto, a maioria desses sistemas e equipamentos disponíveis no mercado possuem alto custo, o que normalmente inviabiliza sua utilização em larga escala. Além disso, a maioria dos sistemas e equipamentos para este fim são importados, o que dificulta ainda mais a sua inserção em aplicações corriqueiras. Este trabalho descreve o desenvolvimento, projeto, testes e aplicação de uma rede de sensores sem fio de baixo custo, para monitoramento em tempo real da temperatura ambiente, umidade relativa do ar e pressão atmosférica, como uma alternativa nacional para pesquisas que necessitem de equipamentos para monitoramento ambiental. A rede é composta de quatro nós sensores e um nó coordenador. Os nós sensores possuem um sensor de temperatura e umidade e um sensor de pressão barométrica ¿ ambos com interface digital ¿ além de um microcontrolador de baixo consumo de energia e baixo custo, e um módulo de comunicação para uma rede operando na frequência de 2,4GHz, para conexão numa rede padrão IEEE 802.15.4. O nó coordenador possui outro módulo de comunicação para a conexão na rede sem fio, um microcontrolador, um cartão de memória para armazenamento das informações de cada nó sensor e interface Ethernet para disponibilizar as medidas do sensor em uma página web, acessada através de um IP estático em um browser de internet comum. Testes em laboratório e em campo atestaram autonomia do nó sensor (em torno de 90 dias para uma bateria de 500mAh) e alcance (de aproximadamente 150m em visada direta) e comprovaram a conformidade dos valores medidos por cada nó, através da comparação com um sistema de referência / Abstract: There are several systems and equipments with specific applications related to climate and weather change monitoring. However, most of these systems and equipments available in the market are too expensive ¿ which usually prevents their use in large scale. Furthermore, most of them used for such purpose are imported, which further complicates their insertion in everyday applications. This work describes the development, implementation and application of a low-cost wireless sensor network for temperature, relative humidity and atmospheric pressure monitoring, in real-time as a national alternative for researches which demand equipments for environmental monitoring. The network consists of four sensor nodes and a coordinator node. Sensor nodes have a temperature and humidity sensor and a barometric sensor ¿ both with digital interface ¿ plus a low cost and low power microcontroller and a communication module for the wireless network operating at 2.4GHz for establishing connection to an IEEE 802.15.4 network. Coordinator node has another communication module to the wireless network connection, a microcontroller for receiving measurements, a memory card for storage of each sensor node¿s information, and Ethernet interface to provide sensor node¿s information in an embedded webpage, accessed through a static IP in a common internet browser. Tests performed in laboratories and in the field attested the node¿s autonomy (around 90 days for a 500mAh battery) and reach (approximately 150m line-of-sight), and proved the compliance of measurements performed by each sensor node, through comparison with a reference system / Mestrado / Eletrônica, Microeletrônica e Optoeletrônica / Mestre em Engenharia Elétrica
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Moteino-Based Wireless Data Transfer for Environmental MonitoringIyiola, Samuel 05 1900 (has links)
Data acquisition through wireless sensor networks (WSNs) has enormous potential for scalable, distributed, real-time observations of monitored environmental parameters. Despite increasing versatility and functionalities, one critical factor that affects the operation of WSNs is limited power. WSN sensor nodes are usually battery powered, and therefore the long-term operation of the WSN greatly depends on battery capacity and the node's power consumption rate. This thesis focuses on WSN node design to reduce power consumption in order to achieve sustainable power supply. For this purpose, this thesis proposes a Moteino-based WSN node and an energy efficient duty cycle that reduces current consumption in standby mode using an enhanced watchdog timer. The nodes perform radio communication at 915 MHz, for short intervals (180ms) every 10 minutes, and consume 6.8 mA at -14dBm. For testing, the WSN node monitored a low-power combined air temperature, relative humidity, and barometric pressure sensor, together with a typical soil moisture sensor that consumes more power. Laboratory tests indicated average current consumption of ~30µA using these short radio transmission intervals. After transmission tests, field deployment of a star-configured network of nine of these nodes and one gateway node provides a long-term platform for testing under rigorous conditions. A webserver running on a Raspberry Pi connected serially to the gateway node provides real-time access to this WSN.
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Water and Soil Salinity Mapping for Southern Everglades using Remote Sensing Techniques and In Situ ObservationsUnknown Date (has links)
Everglades National Park is a hydro-ecologically significant wetland experiencing salinity ingress over the years. This motivated our study to map water salinity using a spatially weighted optimization model (SWOM); and soil salinity using land cover classes and EC thresholds. SWOM was calibrated and validated at 3-km grids with actual salinity for 1998–2001, and yielded acceptable R2 (0.89-0.92) and RMSE (1.73-1.92 ppt). Afterwards, seasonal water salinity mapping for 1996–97, 2004–05, and 2016 was carried out. For soil salinity mapping, supervised land cover classification was firstly carried out for 1996, 2000, 2006, 2010 and 2015; with the first four providing average accuracies of 82%-94% against existing NLCD classifications. The land cover classes and EC thresholds helped mapping four soil salinity classes namely, the non saline (EC = 0~2 dS/m), low saline (EC = 2~4 dS/m), moderate saline (EC = 4~8 dS/m) and high saline (EC >8 dS/m) areas. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2017. / FAU Electronic Theses and Dissertations Collection
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