Bibliografías temáticas / Environmental resource mapping system

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Literatura académica sobre el tema "Environmental resource mapping system"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 20 de febrero de 2023

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Artículos de revistas sobre el tema "Environmental resource mapping system"

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Laflamme, André, and Roger J. Percy. "Sensitivity Mapping – With Flare! An Internet Approach to Environmental Mapping." International Oil Spill Conference Proceedings 2003, no. 1 (April 1, 2003): 95–102. http://dx.doi.org/10.7901/2169-3358-2003-1-95.

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ABSTRACT During emergencies the ready availability of information on the location and vulnerability of resources at risk is crucial to a successful response and in preventing or minimizing further environmental impacts. Environment Canada, Atlantic Region, has developed over a number of years a computer based GIS mapping system for managing and analyzing environmental information. This stand-alone user friendly mapping application has recently moved to the web; allowing broader access by federal, provincial and industry partners in the spill response field. Enhancements have been made that fac
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Hughes, Kevin A., Peter Fretwell, Joanna Rae, Keith Holmes, and Andrew Fleming. "Untouched Antarctica: mapping a finite and diminishing environmental resource." Antarctic Science 23, no. 6 (May 25, 2011): 537–48. http://dx.doi.org/10.1017/s095410201100037x.

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AbstractGlobally, areas categorically known to be free of human visitation are rare, but still exist in Antarctica. Such areas may be among the most pristine locations remaining on Earth and, therefore, be valuable as baselines for future comparisons with localities impacted by human activities, and as sites preserved for scientific research using increasingly sophisticated future technologies. Nevertheless, unvisited areas are becoming increasingly rare as the human footprint expands in Antarctica. Therefore, an understanding of historical and contemporary levels of visitation at locations ac
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Puli, Jayasri, and Srilalitha Sagi. "Competency mapping building a competent workforce through human resource information system." Journal of Information and Optimization Sciences 43, no. 7 (October 3, 2022): 1885–99. http://dx.doi.org/10.1080/02522667.2022.2140261.

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Lavrenko, N. N. "Cartographical modelling of the ecological-resource potential of territory." Geobotanical mapping, no. 1996 (1997): 53–55. http://dx.doi.org/10.31111/geobotmap/1996.53.

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The multifacetous scientific activity of Victor B. Sochava has found reflection in the numerous contributions-monographs and cartographical works issued by him and his pupils during the 70–80s. Now they are represent a base for development of modern trends of thematic mapping including ecological ones. Ecological mapping involves the spatial reflection of various natural and technogenic structures and their relationships. The cartographical modelling of territory potential is referred to this set of problems. Modelling in this aspect represents the désintégration of complex natural systems thr
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Sharma, Sanjeev, and Luxmi Malodia. "Competency mapping: Building a competent workforce through Competency-Based Human Resource Information System." Journal of Information and Optimization Sciences 43, no. 7 (October 3, 2022): 1749–62. http://dx.doi.org/10.1080/02522667.2022.2128530.

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Franklin, Janet. "Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients." Progress in Physical Geography: Earth and Environment 19, no. 4 (December 1995): 474–99. http://dx.doi.org/10.1177/030913339501900403.

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Predictive vegetation mapping can be defined as predicting the geographic distribution of the vegetation composition across a landscape from mapped environmental variables. Comput erized predictive vegetation mapping is made possible by the availability of digital maps of topography and other environmental variables such as soils, geology and climate variables, and geographic information system software for manipulating these data. Especially important to predictive vegetation mapping are interpolated climatic variables related to physiological tolerances, and topographic variables, derived fr
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Cai, Tao, Jaap van de Beek, Jad Nasreddine, Marina Petrova, and Petri Mähönen. "A TD-LTE Prototype System with Modules for General-Purpose Cognitive Resource Management and Radio-Environmental Mapping." International Journal of Wireless Information Networks 18, no. 3 (June 28, 2011): 131–45. http://dx.doi.org/10.1007/s10776-011-0153-1.

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Hayes, Miles O., Jacqueline Michel, Jeffrey A. Dahlin, and Kenneth Barton. "IDENTIFYING AND MAPPING SENSITIVE RESOURCES FOR INLAND AREA PLANNING." International Oil Spill Conference Proceedings 1995, no. 1 (February 1, 1995): 365–71. http://dx.doi.org/10.7901/2169-3358-1995-1-365.

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ABSTRACT The U.S. Environmental Protection Agency (USEPA) is required to evaluate oil storage facilities to determine (1) which should be defined as those that could cause “significant and substantial harm” to environmentally sensitive areas in the event of a release, and (2) the appropriateness of facility response plans in addressing potential environmental threats. Accordingly, the National Oceanic and Atmospheric Administration (NOAA) has been assisting USEPA in developing guidelines, data structures, and maps for sensitive resource assessment using Geographic Information System (GIS) tech
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R. Smith, Brittny, and Stuart J. Macdonald. "Dissecting the Genetic Basis of Variation in Drosophila Sleep Using a Multiparental QTL Mapping Resource." Genes 11, no. 3 (March 11, 2020): 294. http://dx.doi.org/10.3390/genes11030294.

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There is considerable variation in sleep duration, timing and quality in human populations, and sleep dysregulation has been implicated as a risk factor for a range of health problems. Human sleep traits are known to be regulated by genetic factors, but also by an array of environmental and social factors. These uncontrolled, non-genetic effects complicate powerful identification of the loci contributing to sleep directly in humans. The model system, Drosophila melanogaster, exhibits a behavior that shows the hallmarks of mammalian sleep, and here we use a multitiered approach, encompassing hi
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Hu, Zhixi, Yi Zhu, Xiaoying Chen, and Yu Zhao. "Safety Verification of Driving Resource Occupancy Rules Based on Functional Language." Future Internet 14, no. 2 (February 17, 2022): 60. http://dx.doi.org/10.3390/fi14020060.

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Autonomous driving is a safety-critical system, and the occupancy of its environmental resources affects the safety of autonomous driving. In view of the lack of safety verification of environmental resource occupation rules in autonomous driving, this paper proposes a verification method of automatic driving model based on functional language through CSPM. Firstly, the modeling and verification framework of an autopilot model based on CSPM is given. Secondly, the process algebra definition of CSPM is given. Thirdly, the typical single loop environment model in automatic driving is abstracted,
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Tesis sobre el tema "Environmental resource mapping system"

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Hall, Bryan, University of Western Sydney, Faculty of Science and Technology, and School of Science. "A review of the environmental resource mapping system and a proof that it is impossible to write a general algorithm for analysing interactions between organisms distributed at locations described by a locationally linked database and physical properties recorded within the database." THESIS_FST_SS_Hall_B.xml, 1994. http://handle.uws.edu.au:8081/1959.7/750.

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The Environmental Resource Mapping System (E-RMS) is a geographic information system (GIS) that is used by the National Parks and Wildlife Service to assist in management of national parks. The package is available commercially from the Service and is used by other government departments for environmental management. E-RMS has also been present in Australian Universities and used for academic work for a number of years. This thesis demonstrates that existing procedures for product quality and performance have not been followed in the production of the package and that the package and therefore
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Anderson, Madison Lee. "Are we on the same page? Informing adaptive management of outdoor rock climbing using document analysis and cognitive mapping." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619137676375621.

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Alaibakhsh, Masoomeh. "Digital change detection and separation of anthropogenic and natural impacts on ecohydrological conditions in the Pilbara region, WA." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2017. https://ro.ecu.edu.au/theses/1951.

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A deficiency in crucial digital data, such as vegetation cover, in remote regions is a challenging issue for sustainable water management and planning, especially for areas undergoing rapid development, such as mining in the Pilbara, Western Australia. This is particularly relevant to Inflow and Groundwater Dependent Vegetation (IGDVs) (riparian vegetation and groundwater dependent vegetation) which provide important ecological services and, as such, require regional protection. However, such invaluable assets experience changes over time due to either human activities such as land development
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Kittusamy, Kannakumar. "Dependable system architecture for businesses : analysis of an enterprise resource planning system." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35118.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.<br>Page 128 blank.<br>Includes bibliographical references (p. 125-127).<br>This thesis defines the concept of Dependable System Architecture (DSA), evaluation criteria for DSAs and applies those criteria to evaluate SAP, a leading ERP system. The evaluation criteria employ system frameworks, concepts, tools, components and methodologies. During the process of evaluation, this thesis touches upon many
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Drew, Christina H. "The decision mapping system : promoting transparency of long-term environmental decisions at Hanford /." Thesis, Connect to materials related to this title online, 2002. http://nalu.geog.washington.edu/dms.

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Beall, Allyson Marie. "Participatory environmental modeling and system dynamics integrating natural resource science and social concerns /." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Fall2007/a_beall_2111907.pdf.

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Al-Hargan, Ali Abdulla Qassim Khamis. "Creation of a coastal zone information system for Qatar using remote sensing and GIS." Thesis, University of Southampton, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241793.

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Wood, Richard, Konstantin Stadler, Moana Simas, Tatyana Bulavskaya, Stefan Giljum, Franz Stephan Lutter, and Arnold Tukker. "Growth in Environmental Footprints and Environmental Impacts Embodied in Trade: Resource Efficiency Indicators from EXIOBASE3." Wiley, 2018. http://dx.doi.org/10.1111/jiec.12735.

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Most countries show a relative decoupling of economic growth from domestic resource use, implying increased resource efficiency. However, international trade facilitates the exchange of products between regions with disparate resource productivity. Hence, for an understanding of resource efficiency from a consumption perspective that takes into account the impacts in the upstream supply chains, there is a need to assess the environmental pressures embodied in trade. We use EXIOBASE3, a new multiregional input-output database, to examine the rate of increase in resource efficiency, and in
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Haydu, Kristie. "Mapping Plant Biodiversity Hotspots at the County Scale: A New Tool for Establishing Resource Conservation Strategies." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/749.

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Myers first identified the world’s 25 biodiversity hotspots and pioneered innovative ideas about the usefulness of biodiversity models for establishing long-term resource conservation strategies at global scales. Since Myers, most of the subsequent studies using hotspot science for biodiversity modeling have used large spatial scales like countries, provinces or states, and other biogeoraphic regions. The California Floristic Province continues to be one of the recognized global biodiversity hotspots. Our study site, San Luis Obispo County is within this hotspot and we created a map of plan
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Gayen, Neela. "Automatic parallelization of stream programs for resource efficient embedded processors." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/213058/1/Neela_Gayen_Thesis.pdf.

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This thesis considers how to exploit the specific characteristics of data streaming functions and multi-core processors to increase throughput through appropriate software process mappings. The hypothesis is that large numbers of low-power processors can achieve high throughput for streaming applications if a good mapping is provided. The innovation is to use compilation principles to guide the mapping, rather than heuristics. Three increasingly complex approaches are developed that focus on computational bottlenecks, then adds communication overheads, and lastly adds the costs of splitting
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Libros sobre el tema "Environmental resource mapping system"

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Nelson, J. G. Aishihik Lake resource survey: Institutional aspects. Waterloo, Ont: President's Committee on Northern Studies, University of Waterloo, 1986.

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Nelson, J. G. Keele Peak resource survey: Institutional aspects. Waterloo, Ont: President's Committee on Northern Studies, University of Waterloo, 1989.

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Swinson, Virginia. Application of the ABC resource survey method to Presqu'ile Provincial Park, Ontario. Waterloo, Ont: Heritage Resources Centre, University of Waterloo, 1987.

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Swinson, Virginia. Application of the ABC resource survey method to Presqu'ile Provincial Park, Ontario. Waterloo, Ont: Heritage Resources Centre, University of Waterloo, 1987.

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Sustainable Management of Resources in the Lower Mekong Basin Project. MekongInfo: Regional information system on participatory natural resource management. 2nd ed. Hanoi, Vietnam: SMRP, 2000.

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Mark, Peterson. Application of the ABC resource survey method to the Mohawk Lake and canal area, Brantford, Ontario. Waterloo, Ont: Heritage Resources Centre, University of Waterloo, 1988.

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United States. Bureau of Land Management. Geo-positioning selection guide: A reference to select systems and techniques for obtaining and mapping natural resources or cultural data. [Chyenne, WY]: U.S. Dept. of the Interior, Bureau of Land Management, 1993.

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Momberg, Frank. Drawing on local knowledge: A community mapping training manual : case studies from Indonesia. Jakarta: Ford Foundation, 1996.

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North Carolina. State Center for Geographic Information & Analysis. A standard classification system for the mapping of land use and land cover. Raleigh, NC: The Center, 1994.

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Statistics Canada. National Accounts and Environment Division. Concepts, sources and methods of the Canadian System of Environmental and Resource Accounts. Ottawa, Ont: Statistics Canada, 1997.

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Capítulos de libros sobre el tema "Environmental resource mapping system"

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Kanwar, Nidhi, Sumit Rai, and Jagdish Chandra Kuniyal. "Open-Source Satellite Repository and Geographic Information System (GIS) for Soil Resource Mapping." In Environmental Science and Engineering, 3–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09270-1_1.

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Stepnowski, Andrzej, Massimo Azzali, Janusz Burczyñski, Jacek Lenkiewicz, Andrzej Partyka, and Marek Moszyñski. "A Portable Acoustic Mapping/Imaging System for Assessing and Monitoring of Aquatic Resources and Environmental Parameters." In Acoustical Imaging, 619–24. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_100.

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Shi, Yingjie, Xiang Wang, Wei Wang, Huayun Zhang, and Shusong Jiang. "Implementation and Application of Embedded Real-Time Database for New Power Intelligent Terminal." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 711–20. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_72.

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AbstractAn implementation method of embedded real-time database is proposed. The lightweight high matching of power model is realized through tree structure. The resource consumption of real-time database in embedded device environment is reduced by means of separated storage and non independent process deployment. The efficient access of measuring point data is realized through internal mapping rules and improved breadth first search algorithm. Experiments show that the embedded real-time database realized by this method has good performance and low energy consumption, and is suitable for intelligent terminal equipment in new power system.
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Mwanza, Mabvuto, and Koray Ulgen. "GIS-Based Assessment of Solar Energy Harvesting Sites and Electricity Generation Potential in Zambia." In African Handbook of Climate Change Adaptation, 1–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42091-8_60-1.

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AbstractLand and environment are some of limited nature resource for any particular country and requires best use. Therefore, for sustainable energy generation it is often important to maximize land use and avoid or minimize environmental and social impact when selecting the potential locations for solar energy harvesting. This chapter presents an approach for identifying and determining the potential sites and available land areas for solar energy harvesting. Hence, the restricting and enhancing parameters that influence sites selection based on international regulation have been imposed to the Laws of Zambia on environmental protection and pollution control legislative framework. Thus, both international regulations and local environmental protection and pollution control legislative have been used for identifying the potential sites and evaluating solar PV electricity generation potential in these potential sites. The restricting parameters were applied to reduce territory areas to feasible potential sites and available areas that are suitable for solar energy harvesting. The assessment involved two different models: firstly the assessment of potential sites and mapping using GIS, and secondly, evaluation of the available suitable land areas and feasible solar PV electricity generation potential in each provinces using analytical methods. The total available suitable area of the potential sites is estimated at 82,564.601 km2 representing 10.97% of Zambia’s total surface area. This potential is equivalent to 10,240.73 TWh annual electricity generation potential with potential to reduce CO2 emissions in the nation and achieve SDGs. The identification of potential sites and solar energy will help improve the understanding of the potential solar energy can contribute to achieving sustainable national energy mix in Zambia. Furthermore, it will help the government in setting up tangible energy targets and effective integration of solar PV systems into national energy mix.
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Mwanza, Mabvuto, and Koray Ulgen. "GIS-Based Assessment of Solar Energy Harvesting Sites and Electricity Generation Potential in Zambia." In African Handbook of Climate Change Adaptation, 899–946. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_60.

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AbstractLand and environment are some of limited nature resource for any particular country and requires best use. Therefore, for sustainable energy generation it is often important to maximize land use and avoid or minimize environmental and social impact when selecting the potential locations for solar energy harvesting. This chapter presents an approach for identifying and determining the potential sites and available land areas for solar energy harvesting. Hence, the restricting and enhancing parameters that influence sites selection based on international regulation have been imposed to the Laws of Zambia on environmental protection and pollution control legislative framework. Thus, both international regulations and local environmental protection and pollution control legislative have been used for identifying the potential sites and evaluating solar PV electricity generation potential in these potential sites. The restricting parameters were applied to reduce territory areas to feasible potential sites and available areas that are suitable for solar energy harvesting. The assessment involved two different models: firstly the assessment of potential sites and mapping using GIS, and secondly, evaluation of the available suitable land areas and feasible solar PV electricity generation potential in each provinces using analytical methods. The total available suitable area of the potential sites is estimated at 82,564.601 km2 representing 10.97% of Zambia’s total surface area. This potential is equivalent to 10,240.73 TWh annual electricity generation potential with potential to reduce CO2 emissions in the nation and achieve SDGs. The identification of potential sites and solar energy will help improve the understanding of the potential solar energy can contribute to achieving sustainable national energy mix in Zambia. Furthermore, it will help the government in setting up tangible energy targets and effective integration of solar PV systems into national energy mix.
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Brander, Luke M., Florian V. Eppink, Philipp Schägner, Pieter J. H. van Beukering, and Alfred Wagtendonk. "GIS-Based Mapping of Ecosystem Services: The Case of Coral Reefs." In Benefit Transfer of Environmental and Resource Values, 465–85. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9930-0_20.

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Liu, Yujie, and Jie Chen. "Mapping Global Population Changes." In Atlas of Global Change Risk of Population and Economic Systems, 87–94. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6691-9_5.

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AbstractThe increase in greenhouse gas emissions caused by human activities is considered as the main cause of global warming (Stocker et al. 2013). The rapid growth of population and economic activities in the twentieth century has brought unprecedented pressure on climate and the environment, and population has become an important topic in climate change research (Min et al. 2011; Diaz and Moore 2017; Forzieri et al. 2017). Accurate and robust predictions of population size and spatial distribution will help to assess the impact of climate change on socioeconomic development, human health, and resource demand and distribution, and provide a scientific basis for designing strategies to control greenhouse gas emissions and developing mitigation and adaptation policies (Lutz and Kc 2011; Field et al. 2014; Gerland et al. 2014).
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Ekins, Paul. "System Innovation for Environmental Sustainability: Concepts, Policies and Political Economy." In International Economics of Resource Efficiency, 51–88. Heidelberg: Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2601-2_3.

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Castelletti, Andrea, Francesca Pianosi, and Rodolfo Soncini-Sessa. "Stochastic and Robust Control of Water Resource Systems: Concepts, Methods and Applications." In System Identification, Environmental Modelling, and Control System Design, 383–401. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-974-1_19.

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La, Hien Phu, and Quan Van Ngo. "Application of Convolution Neural Network for Rapid Flood Mapping Using Sentinel-1 Imagery—A Case Study in Central Region of Vietnam." In Advances in Research on Water Resources and Environmental Systems, 431–43. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17808-5_26.

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Actas de conferencias sobre el tema "Environmental resource mapping system"

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Suo, Chen, Eugene McGovern, and Alan Gilmer. "UAV Data for Coastal Dune Mapping." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.245.

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High resolution topographic maps are critical for the development of rigorous and quantitative numerical simulation landscape models. These models can inform targeted land management actions that maintain biodiversity and ecological functions. Mapping functional vegetation communities to obtain accurate distribution and population estimates is an important element of landscape models and is a challenging task which requires a considerable investment in time and resources. A recent development in surveying technologies, Unmanned Aerial Vehicles (UAV’s), also known as drones, has enabled high re
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Ruopu Li and Lin Zhao. "Vadose zone mapping using geographic information systems and geostatistics a case study in the Elkhorn River Basin, Nebraska, USA." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893555.

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Napier, Scott R., Bill Brown, and Shannon Frey. "APPLICATION OF AN INNOVATIVE AEM SYSTEM FOR MAPPING HAZARDS AND WATER RESOURCES IN OIL AND GAS FIELDS." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2015. http://dx.doi.org/10.4133/sageep.28-044.

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Wang, Lei, and Qiuming Cheng. "Web-based hydrological modeling system for flood forecasting and risk mapping." In Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, edited by Lin Liu, Xia Li, Kai Liu, Xinchang Zhang, and Yong Lao. SPIE, 2008. http://dx.doi.org/10.1117/12.812986.

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Bahaddin, Babak, Ali Mirchi, David Watkins, Sajjad Ahmad, Eliot Rich, and Kaveh Madani. "System Archetypes in Water Resource Management." In World Environmental and Water Resources Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481400.012.

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Jiao Cuicui, Zhou Demin, Li Na, and Li Shanghua. "Uncertainty in mapping of typical wetland plants using remote sensing images." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893518.

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Merhoff, Paul, Brent Dellinger, Shawn Taggart, and John Cornwell. "Space Station Freedom Resource Nodes Internal Thermal Control System." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/932148.

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Ozdemir, Phillip. "Airborne lidar system for pollution detection and mapping." In Optical Sensing for Environmental and Process Monitoring, edited by Joseph Leonelli, Dennis K. Killinger, William Vaughan, and Michael G. Yost. SPIE, 1995. http://dx.doi.org/10.1117/12.205573.

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Serio, Michael, Erik Kroo, Elizabeth Florczak, Marek Wójtowicz, Kanapathipillai Wignarajah, Kevin Howard, and John Fisher. "A Hybrid Pyrolysis / Oxidation System for Solid Waste Resource Recovery." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-2380.

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Sogade, John, Yervant Vichabian, Amy Vandiver, Philip Reppert, and Frank Dale Morgan. "Electromagnetic Cave‐to‐Surface Mapping System." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 1999. Environment and Engineering Geophysical Society, 1999. http://dx.doi.org/10.4133/1.2922621.

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Informes sobre el tema "Environmental resource mapping system"

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Callaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac, and Jacqueline Willan. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42226.

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The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Al
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Callaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac, and Jacqueline Willan. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42226.

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The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Al
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3

Corriveau, L., J. F. Montreuil, O. Blein, E. Potter, M. Ansari, J. Craven, R. Enkin, et al. Metasomatic iron and alkali calcic (MIAC) system frameworks: a TGI-6 task force to help de-risk exploration for IOCG, IOA and affiliated primary critical metal deposits. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329093.

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Australia's and China's resources (e.g. Olympic Dam Cu-U-Au-Ag and Bayan Obo REE deposits) highlight how discovery and mining of iron oxide copper-gold (IOCG), iron oxide±apatite (IOA) and affiliated primary critical metal deposits in metasomatic iron and alkali-calcic (MIAC) mineral systems can secure a long-term supply of critical metals for Canada and its partners. In Canada, MIAC systems comprise a wide range of undeveloped primary critical metal deposits (e.g. NWT NICO Au-Co-Bi-Cu and Québec HREE-rich Josette deposits). Underexplored settings are parts of metallogenic belts that extend in
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White, H. P., W. Chen, and S G Leblanc. Satellite observations for detection of dust from mining activities in a caribou habitat, Northwest Territories and Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330548.

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Diamond mining via open pit mining has been ongoing within the Tlicho region of the Northwest Territories for several decades, which includes the habitat range of the Bathurst Caribou Herd. This has led to the importance of quantitative characterization of the Zone Of Influence (ZOI), where resource development activities may be influencing the natural behaviour of the caribou herd in the tundra environment. As part of better defining and understanding the ZOI in this region, an initiative to evaluate the potential of detecting and mapping mine waste rock dust in the surrounding environment is
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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.

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Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC) and Transport Canada Innovation Centre (TC-IC) aims to gain new insight into slow-moving landslides, and the influence of climate change, through testing conventional and emerging monitoring technologies. IMOU 5107 focuses on strategically important sections of the national railway network in the Thompson River valley, British Columbia (BC), and the Assiniboine River valley along the borders of Manitoba (MN) and Saskatchewan (SK). Results of this research ar
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Wells, Aaron, Tracy Christopherson, Gerald Frost, Matthew Macander, Susan Ives, Robert McNown, and Erin Johnson. Ecological land survey and soils inventory for Katmai National Park and Preserve, 2016–2017. National Park Service, September 2021. http://dx.doi.org/10.36967/nrr-2287466.

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This study was conducted to inventory, classify, and map soils and vegetation within the ecosystems of Katmai National Park and Preserve (KATM) using an ecological land survey (ELS) approach. The ecosystem classes identified in the ELS effort were mapped across the park, using an archive of Geo-graphic Information System (GIS) and Remote Sensing (RS) datasets pertaining to land cover, topography, surficial geology, and glacial history. The description and mapping of the landform-vegetation-soil relationships identified in the ELS work provides tools to support the design and implementation of
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Bigl, Matthew, Caitlin Callaghan, Brandon Booker, Kathryn Trubac, Jacqueline Willan, Paulina Lintsai, and Marissa Torres. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 2—data expansion and portal development. Engineer Research and Development Center (U.S.), January 2022. http://dx.doi.org/10.21079/11681/43062.

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As the largest Department of Defense (DoD) land user in Alaska, the U.S. Army oversees over 600,000 hectares of land, including remote areas accessible only by air, water, and winter ice roads. Spatial information related to the energy resources and infrastructure that exist on and adjacent to DoD installations can help inform decision makers when it comes to installation planning. The Energy Atlas−Alaska portal provides a secure value-added resource to support the decision-making process for energy management, investments in installation infrastructure, and improvements to energy resiliency a
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Suir, Glenn, Christina Saltus, Charles Sasser, J. Harris, Molly Reif, Rodrigo Diaz, and Gabe Giffin. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42201.

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Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Suir, Glenn, Christina Saltus, Charles Sasser, J. Harris, Molly Reif, Rodrigo Diaz, and Gabe Giffin. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42201.

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Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Ruiz, Pablo, Craig Perry, Alejando Garcia, Magali Guichardot, Michael Foguer, Joseph Ingram, Michelle Prats, Carlos Pulido, Robert Shamblin, and Kevin Whelan. The Everglades National Park and Big Cypress National Preserve vegetation mapping project: Interim report—Northwest Coastal Everglades (Region 4), Everglades National Park (revised with costs). National Park Service, November 2020. http://dx.doi.org/10.36967/nrr-2279586.

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The Everglades National Park and Big Cypress National Preserve vegetation mapping project is part of the Comprehensive Everglades Restoration Plan (CERP). It is a cooperative effort between the South Florida Water Management District (SFWMD), the United States Army Corps of Engineers (USACE), and the National Park Service’s (NPS) Vegetation Mapping Inventory Program (VMI). The goal of this project is to produce a spatially and thematically accurate vegetation map of Everglades National Park and Big Cypress National Preserve prior to the completion of restoration efforts associated with CERP. T
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