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Artykuły w czasopismach na temat "Land use change"

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Ismail K, Bello, Sodiya Abiodun K i Solanke Peter A. "Public Land Acquisition and Land Use Change Problems in Ogun State". International Journal of Management Science and Business Administration 2, nr 8 (2015): 34–41. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.28.1004.

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Human use of land has altered the structure and functioning of ecosystem. The most spatially and economically important human uses of land globally include cultivation in various forms; livestock grazing, settlement and construction, reserves and protected lands and timber extraction. The patterns of land use give us insight into the factors that have caused the land cover to change. A better understanding of the determining factors of land use changes is of crucial importance to the study of global environmental change. This paper theoretically strive to evaluate the contributions of government policies and programmes in transforming the various land uses in the urban centers of Ogun state with a view to provide better understanding among the stakeholders in real estate investment. The paper recommended that although landuse changes is an inevitable consequences in the developing nations, there is the need to consider the positive and negative aspect of the policies in order not to jeopardize the available environmental resources for sustainable development. The paper concluded by emphasized the need for government to carry the citizen along in the various policies and programs for even development.
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Dawson, A. H. "Land-use change". Land Use Policy 8, nr 1 (styczeń 1991): 83–84. http://dx.doi.org/10.1016/0264-8377(91)90061-m.

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Deshpande, Srinivas, i Rohan S. Gurav. "Change Detection of Land Use and Land Cover Over Ghataprabha River Basin". International Journal of Science and Research (IJSR) 12, nr 10 (5.10.2023): 71–78. http://dx.doi.org/10.21275/sr23930164256.

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Manca, Germana. "Introduction: Land Use and Land Change". Cartographica: The International Journal for Geographic Information and Geovisualization 47, nr 4 (grudzień 2012): 209–10. http://dx.doi.org/10.3138/carto.47.4.intro.

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Iacono, Michael J., i David M. Levinson. "Predicting Land Use Change". Transportation Research Record: Journal of the Transportation Research Board 2119, nr 1 (styczeń 2009): 130–36. http://dx.doi.org/10.3141/2119-16.

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Booth, Philip. "Managing land-use change". Land Use Policy 26 (grudzień 2009): S154—S159. http://dx.doi.org/10.1016/j.landusepol.2009.08.011.

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Veldkamp, A., i E. F. Lambin. "Predicting land-use change". Agriculture, Ecosystems & Environment 85, nr 1-3 (czerwiec 2001): 1–6. http://dx.doi.org/10.1016/s0167-8809(01)00199-2.

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Indrawan, I. N. P., Widiatmaka i B. H. Trisasongko. "Land use land cover change in Badung Regency, Bali". IOP Conference Series: Earth and Environmental Science 950, nr 1 (1.01.2022): 012096. http://dx.doi.org/10.1088/1755-1315/950/1/012096.

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Abstract Demand for land use can cause an undesirable impact. Bali Island has been exploited as the midpoint of tourism activities and altering land use over the last two decades. Badung regency is the hinterland area of Denpasar City, the capital city of Bali Province. Land conversion in Badung was caused by the construction infrastructures related to tourism development. Conversion occurred from agricultural lands to built-up lands. This research analyzed remote sensing data, taking the advantage of abundant, serial data acquisition. This study used Landsat 7 ETM and Sentinel 2 satellite images obtained from 2010 to 2020. Land cover types were identified by visual interpretation and LULC changes were analyzed by overlaying land use maps. Identified land-use types included eight categories, i.e. paddy fields, forests, mangroves, built-up areas, mixed gardens/plantations, upland fields, shrubs, and water bodies. Land use has changed significantly in the past 10 years especially in built-up areas, upland fields, and paddy fields. The trend showed that built-up areas persistently increased from 2010 to 2020. Paddy fields, shrubs, mixed gardens/plantations, and mangroves fluctuated in terms of the acreage; rose from 2010 to 2015, but were reduced in the rest of the period. Water bodies did not change throughout.
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Dero, Kambo, Wakshum Shiferaw i Biruk Zewde. "Urban induced land use land cover changes in upper Deme watershed, Southwest Ethiopia". Journal of Degraded and Mining Lands Management 9, nr 1 (1.10.2021): 3045–53. http://dx.doi.org/10.15243/jdmlm.2021.091.3045.

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The study was aimed to assess urban induced land use land cover changes in the upper Deme watershed. Three satellite images of 1986, 2002, and 2019 were analyzed by ArcGIS and processed by supervised classification. Land use land cover change in the watershed increased for settlement, bare land, and croplands in the period 1986-2019 by 56.6%, 53%, and 0.25%, respectively. However, the land use land cover change in the watershed decreased for a water body, forest, and grassland by 65%, 57.7%, and 7%, respectively. These enforced to change the work habit and social bases. Out of converted lands, during 1986-2002, 34.9%, 53%, 18%, 40.9%, and 10.6% of bare land, cropland, forest land, grassland, and water bodies, respectively, in the upper Deme watershed were changed into settlement areas. During 2002-2019, 30.7%, 36.8%, 26.9%, 66%, and 33.3% of bare land, cropland, forest land, grassland, and water bodies, respectively, were changed into settlement areas. This shows urbanization results in a different change in economic, social, land use land cover, and watershed management activities in the upper Deme watershed.
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van der Molen, P., i D. Mitchell. "Climate change, land use and land surveyors". Survey Review 48, nr 347 (23.02.2016): 148–55. http://dx.doi.org/10.1179/1752270615y.0000000029.

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Rozprawy doktorskie na temat "Land use change"

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Landry, Erik S. (Erik Sean). "Carbon dynamics of global land use, land-use change, and forestry". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117919.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 33-36).
Forest harvest for bioenergy is growing rapidly, spurred by the European Commission's declaration that bioenergy is carbon-neutral. Bioenergy advocates argue that the carbon released upon the combustion of harvested wood should eventually be reabsorbed from the atmosphere when the harvested land regrows. Recent studies, however, find that wood bioenergy can exacerbate climate change because it is less efficient than the fossil fuels it displaces, and because regrowth takes time and is uncertain. Other land use, land-use change, and forestry (LULUCF) practices can also cause significant carbon fluxes to and from the atmosphere that vary over time as the carbon sequestered in the biomass and soils on each land type changes. Understanding these complex interactions requires an explicit dynamic model that accounts for various land uses and regions, each with carbon content and flux characteristics specific to their respective vegetation, soil distributions, and climatic domains. This work extends the widely used C-ROADS climate model, originally developed with a single biosphere, to incorporate this level of detail. Built up from a diverse set of highly resolved geospatial databases for land cover, soils, climatic domains, and other relevant characteristics, the model aggregates the data into six land use types (natural forest, harvested forest, cropland, pasture, permafrost, and developed/other land) within six major regions (the US, EU, China, India, Other Developed Nations, and Other Developing Nations). It is used to analyze the impact of harvesting forests for bioenergy. Because wood bioenergy is less efficient than the fossil fuels it displaces, the first impact is an increase in atmospheric CO₂ . If the land regrows as forest, this carbon debt can eventually be repaid. However, the time required to do so is long, ranging from 20 to 186 years, depending on the region supplying the wood and whether the forest is thinned or clear-cut. Converting forest to cropland after harvest increases atmospheric CO₂ concentrations without payback. Results also show that afforestation programs are most effective in reducing atmospheric CO₂ when implemented in regions with more tropical climates due to the higher carbon density of these forests. This fast, regionally specific, multi-land-use model enables policy makers and other stakeholders to quickly design and evaluate of a wide range of LULUCF and bioenergy policy scenarios and their climatic effects.
by Erik S. Landry.
S.M. in Technology and Policy
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Bates-Lanclos, Melissa Marie. "Assessing urban land use/land cover change in Springfield, Missouri 1972-2000 /". free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426046.

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Maluki, Peter Masavi. "MAPPING LAND COVER LAND USE CHANGE IN MBEERE DISTRICT, KENYA". Miami University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=miami1187030316.

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Gildea, Jason James. "Relationships Between Land Use, Land-Use Change, and Water-Quality Trends in Virginia". Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33253.

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This research examines the relationships between land use and surface water quality trends in Virginia. Data from 168 surface water quality monitoring stations throughout Virginia were analyzed for trends for the period of 1978 to 1995. Water-quality data available at these stations included dissolved oxygen saturation (DO), biochemical oxygen demand (BOD), pH, total residue (TR), non-filterable residue (NFR), nitrate-nitrite nitrogen (NN), total Kjeldahl nitrogen (TKN), total phosphorus (TP), and fecal coliform (FC). A seasonal Kendall analysis was used to determine trends for each water-quality parameter at each station; this analysis produced an indicator (Kendall's tau) of improving or declining water quality. Median values for each water-quality variable were also determined at the monitoring stations. Virginia land use was determined from the USGS Land Use Land Cover (LULC) data (1970s) and the Multi-resolution Land Characteristics (MRLC) data (1990s). Land-use variables included urban, forest, pasture, cropland, total agriculture, and urban change. These six variables were correlated with Kendall's tau to determine if relationships exist between water-quality trends and land use. Water-quality medians and land use were also correlated. In general, highly forested watersheds in Virginia were associated with improving water quality over the 1978 to 1995 study period. These watersheds were also commonly associated with better water quality as measured by the water-quality medians. Watersheds with less agricultural land tended to be associated with improving water quality. Better water quality, as measured by the water-quality medians, was generally associated with watersheds possessing fewer urban acres. There were few significant relationships between water-quality medians and agricultural variables.
Master of Science
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Fontaine, Corentin M. "Residential agents and land use change modelling". Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4626.

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Urbanisation is driven by the complex interactions of many physical and human factors where human actions and decisions, individually and collectively, ultimately shape the patterns of urban landscapes. Agentbased modelling is an emerging technique in land use science that is designed to study multiple heterogeneous and locally interacting active entities within a system. An example of a local interaction is the request made by residents to planners for building permits. The decisions of planners in response to this request leads to emergent properties at an aggregate level such as city growth, assuming no equilibrium conditions. This thesis develops a framework for investigating in space and in time future residential land use change over a polycentric region using a case study of East Anglia, UK. Conceptually, the framework views the complexity of housing development in a system of cities (macrogeographical level) as the visible and concrete outcome of interactions between household demand for new dwellings (micro-geographical level) and the supply of building permits by local planners (meso-geographical level). Demand and supply are driven by household location preferences, as well as local planning, and evolve over time, leading to future land use change at speci c locations. The IPCC socio-economic scenarios are adapted to describe plausible evolutions in these preferences and strategies in order to evaluate di erent urban land use change pathways and the associated potential consequences for people (e.g. ooding risks) and the environment (e.g. biodiversity loss from land fragmentation). Simulation of new housing scenarios is undertaken within the agent-based modelling paradigm using a new computer programme developed in NetLogo. Issues of sensitivity analysis, validation, calibration and system complexity are addressed throughout the thesis. The thesis contributes to the eld of landscape and urban ecology by exploring urban complexity with a spatio-dynamic model of residential location behaviour driven by human and natural variables. As land use and land cover change is known to strongly a ect ecological landscape functions and processes, understanding the relationships between social and natural systems within changing landscapes helps to highlight hotspots of potential pressure and their e ects on the natural environment as part of an assessment of the possible ecological impacts of new urban development.
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Dunn, Christine Elizabeth. "Hydrological responses to moorland land-use change". Thesis, University of Hull, 1986. http://hydra.hull.ac.uk/resources/hull:5038.

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Most documented investigations of the effects of land-use change on hydrological systems have considered the modification of forest areas. In this thesis, a headwater area in the North York Moors is used to examine the consequences of maintaining a land management regime which has received comparatively little observation in this context: controlled heather burning (muirburn). The effects of coniferous afforestation are also evaluated for selected variables. Particular attention is given to the responses of soil, moisture and evapotranspiration and the relationship between these two components.Simulated soil moisture deficits derived from empirical models are tested against measured values. Predictions based on Penman-Monteith evapotranspiration and 'layer' moisture deficits, along with an optimised soil-drying parameter, were found to simulate observed conditions most closely. A land-use change from open heather moorland to burnt ground promoted reductions both in evapotranspiration levels, especially at potential demando and in moisture deficits. In contrast, following afforestation, deficits were maintained or enhanced throughout the year, with higher moisture losses to interception than found under heather, due to the higher aerodynamic resistance of the latter. Predictions of actual evapotranspiration, determined from soil moisture models, were generally found to be reliable estimates of those 'observed' from the moorland water balance.Antecedent catchment conditions and storm characteristics were used in analysis of runoff distribution over time, quantified in terms of 'unit hydrographs' and linear regression models. Land-use effects were manifested most significantly in a doubling of hydrograph peak discharge following muirburn, the lower measured soil moisture deficits under a burnt catchment rendering more water available for storm runoff. A secondary, underlying control, that of a slower response from a wet catchment, lent 'support to evidence for the existence of variable source areas.
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Sheikh-Hassani, G. H. "Agricultural land use change in Gilan, Iran". Thesis, University of Southampton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382182.

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Bajželj, Bojana. "Land use, food security and climate change". Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709356.

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Kim, Dae-Sik. "Modeling Land-use Change and Urbanization Process". Kyoto University, 2004. http://hdl.handle.net/2433/147781.

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Friis, Cecilie. "Land use change in a globalised world". Doctoral thesis, Humboldt-Universität zu Berlin, 2017. http://dx.doi.org/10.18452/18180.

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Die weltweit steigende Nachfrage nach land-basierten Rohstoffen erhöht stetig den Druck auf Land und Landnutzung, vor allem in ressourcenreichen Frontierregionen. Eine gegenwärtige Erscheinungsform dessen stellen Transnationale Landnahmen dar, die den Landnutzungswandel vorantreiben und die landbasierte Lebensgrundlage insbesondere der ländlichen Bevölkerung in vielen Teilen der Welt massiv bedroht. Ziel dieser Doktorarbeit ist es, ein besseres Verständnis der komplexen Prozesse zu schaffen, die Landnahmen befördern. Erstens untersucht sie die rezente Konjunktur des Bananenanbaus in der Provinz Luang Namtha, Laos, die von Chinesischen Investoren getrieben wird. Zweitens zieht die Arbeit das telecoupling Konzept heran und unterzieht es einer kritischen Diskussion in Bezug auf seinen Mehrwert für die Analyse räumlich entkoppelter sozioökonomischer und ökologischer Wechselwirkungen. Eine mehrmonatige ethnographische Feldforschung und deren qualitative Analyse stellen die Grundlage dieser Arbeit dar. Ausgehend von zwei Bananenplantagen in einer kleinen ländlichen Gemeinde fokussiert die Arbeit die Mechanismen und Prozesse, die die Bananenexpansion befördern. Das telecoupling Konzept dient als Instrument, um zu analysieren, welchen Einfluss die multiplen und ko-konstitutiven Interaktionen auf den Vorstoß des Bananenanbaus haben. Darüber hinaus verdeutlichen die tiefgehenden lokalitätsbezogenen Analysen die verschiedenen Kontexte auf, die dieses Wechselspiel spezifisch lokal verorten und gestalten. Die Fallstudie zeigt auf, wie die räumlich entkoppelten Beziehungen durch ein grenzüberspannendes Netzwerk chinesischer Investoren mit sozialen Verbindungen in die Provinz hinein, sowie auf den (chinesischen) Obstmarkt vermittelt werden. Außerdem stellt die Studie heraus, dass die Strategien der Investoren zur Landgewinnung und der daraus resultierende verheerende Landnutzungswandel einer Entfremdung der Dorfbewohner_innen ‘vom Boden’ gleichkommen. Durch die empirische, methodologische sowie konzeptuelle Auseinandersetzung mit dem telecoupling Konzept verweist die Arbeit letztlich auf den Wert qualitativer Analysen für die schwer greifbaren, ‚immateriellen’ Interaktionen sowie mögliche Feedbackmechanismen, welche Landnutzungswandel in einer globalisierten Welt bestimmen.
The global demand for land resources has increased the pressures on land, especially in resource-rich frontier regions. Transnational land acquisitions constitute one of these pressures that currently shape land use change and threaten land access and land-based livelihoods in rural areas. This thesis contributes to create a better understanding of the complex processes involved in such land acquisitions in two ways. First, it examines a recent boom in banana cultivation in Luang Namtha Province, Lao PDR driven by Chinese investors leasing land from Lao farmers and exporting the bananas to China. Second, it critically engages with the emerging telecoupling framework proposed in Land System Science as an analytical framework for dealing with distal causal interactions. Based on ethnographic fieldwork and using qualitative analyses, the thesis examines two plantations in a small village and traces the actors, mechanisms and processes driving the banana expansion. Using the telecoupling framework as a heuristic device, the study illuminates how multiple and co-constitutive economic, environmental, political and discursive interactions influence the banana expansion. Furthermore, the in-depth place-based analyses reveal how different contextual factors ground and shape these interactions in this particular location. In this case, the distal interactions are mediated through a cross-border network of Chinese investors with social ties in the local area, as well as in the fruit market in China. The study shows that the investors’ strategies to obtain access to the land combined with the resulting destructive land use conversion amount to an alienation of land from the villagers. By engaging empirically, methodologically and conceptually with the telecoupling framework, the thesis advances the discussion on telecoupling by demonstrating the value of qualitative analysis for capturing some of the more elusive and immaterial interactions, as well as potential feedbacks influencing land use change in a globalised world.
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Książki na temat "Land use change"

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T, Watson R., i Intergovernmental Panel on Climate Change., red. Land use, land-use change, and forestry. Cambridge, UK: Published for the Intergovernmental Panel on Climate Change [by] Cambridge University Press, 2000.

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Cooper, Alan, 1948 Mar. 9-, Wilson Peter i Geographical Society of Ireland, red. Managing land use change. (Dublin): Geographical Society of Ireland, 1992.

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Koomen, Eric, John Stillwell, Aldrik Bakema i Henk J. Scholten, red. Modelling Land-Use Change. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/1-4020-5648-6.

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Koomen, Eric, John Stillwell, Aldrik Bakema i Henk J. Scholten, red. Modelling Land-Use Change. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5648-2.

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Lambin, Eric F., i Helmut Geist, red. Land-Use and Land-Cover Change. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-32202-7.

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Ho, Samuel P. S. China's land resources and land use change. Hong Kong: Centre for China Urban and Regional Studies, Hong Kong Baptist University, 2002.

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DeFries, Ruth S., Gregory P. Asner i Richard A. Houghton, red. Ecosystems and Land Use Change. Washington, D. C.: American Geophysical Union, 2004. http://dx.doi.org/10.1029/gm153.

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Qin, Zhangcai, Umakant Mishra i Astley Hastings, red. Bioenergy and Land Use Change. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119297376.

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Great Britain. Department of the Environment., red. Land use change in England. London: Department of the Environment, 1986.

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Great Britain. Department of the Environment., red. Land use change in England. London: Dept. of the Environment, 1988.

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Części książek na temat "Land use change"

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Chu, Duo. "Land-Use Change". W Remote Sensing of Land Use and Land Cover in Mountain Region, 81–116. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7580-4_5.

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Rudel, Thomas K. "Land Use and Land Use Change". W Handbooks of Sociology and Social Research, 425–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77712-8_20.

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Jinlong, Liu. "Land Use and Land Use Change". W Crying Forests, 37–45. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9725-8_4.

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Saikia, Anup. "Land-Use Land-Cover Change". W Over-Exploitation of Forests, 29–52. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01408-1_5.

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Mustard, John F., i Thomas R. Fisher. "Land Use and Hydrology". W Land Change Science, 257–76. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-2562-4_15.

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Bonan, Gordon B., Ruth S. DeFries, Michael T. Coe i Dennis S. Ojima. "Land Use and Climate". W Land Change Science, 301–14. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-2562-4_17.

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Csiszar, I., C. O. JUSTICE, A. D. Mcguire, M. A. Cochrane, D. P. Roy, F. Brown, S. G. Conard i in. "Land Use and Fires". W Land Change Science, 329–50. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-2562-4_19.

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Probeck, Markus, Anja Colgan, Tatjana Krimly, Marcelo Zárate i Karl Schneider. "Land Use and Land Cover". W Regional Assessment of Global Change Impacts, 83–89. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16751-0_9.

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Hansen, Andrew J., Ruth S. DeFries i Woody Turner. "Land Use Change and Biodiversity". W Land Change Science, 277–99. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-2562-4_16.

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Rindfuss, Ronald R., B. L. Turner, Barbara Entwisle i Stephen J. Walsh. "Land Cover / Use and Population". W Land Change Science, 351–66. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-2562-4_20.

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Streszczenia konferencji na temat "Land use change"

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Hongri Zhang, Xingyuan Xiao, Ying Li i Min Wang. "Study on land use/land cover change". W 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5965806.

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Wang, Yi-Chen, i Chen-Chieh Feng. "Visualizing research of land use land cover change". W Geoinformatics 2008 and Joint conference on GIS and Built Environment: The Built Environment and its Dynamics, redaktorzy Lin Liu, Xia Li, Kai Liu, Xinchang Zhang i Xinhao Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.812709.

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Hou, Ankai, Abrado Blankson Samuel, Mujie Li, Zezhong Zheng, Jun Xia, Xiang Zhang i Guoqing Zhou. "Land Use and Land Cover Change of Ghana". W IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9323303.

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Aboh, Bright, i Alphonse Mutabazi. "Satellite imagery analysis for Land Use, Land Use Change and Forestry". W COMPASS '20: ACM SIGCAS Conference on Computing and Sustainable Societies. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3378393.3402268.

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Shahkhali, Seyede Mohadese Hatami, Shahram Sharifi Hashjin, Farzane Nasiri Jan Agha i Habib Mahmoodi Chenari. "Factors Affecting Land Use Change Around the Anzali Wetland and the Challenges Ahead". W 3rd International Congress on Engineering and Life Science. Prensip Publishing, 2023. http://dx.doi.org/10.61326/icelis.2023.3.

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Changes in land use and destruction of natural covers lead to disturbances in the ecosystem and a decrease in biodiversity. In recent years, climate change, agricultural, industrial, and tourism activities, land use changes around the wetland, and the occurrence of eutrophication phenomena have brought this valuable ecosystem to the brink of destruction. The Anzali wetland complex is located near the city of Bandar Anzali in Guilan province in northern Iran, along the southern coast of the Caspian Sea. The aim of this study is to identify and monitor changes in land use over the past two decades, as well as to determine and analyze the influential factors on land use changes around the Anzali wetland in order to develop management plans to reduce the negative effects of land use changes by providing logical solutions to prevent economic, social, environmental, and livelihood damages in this area. In this study, by preparing a land use map of a 20-year period of the study area and modeling land use and cover changes in the Anzali wetland basin, effective parameters in land use changes were identified, analyzed, and introduced. This study has depicted land use changes from 2000 to 2020. The images are classified into agricultural lands, wetlands, forests, water bodies, residential areas, and barren lands. Landsat images from 2000, 2008, and 2020 were used. The outputs of the processing are LULC images, which show the extent of land use changes based on the information obtained from these images. The results of the spatial image comparison show that in the period of 2000-2020, wetland areas have changed by -29.3%, grasslands by 37.4%, agricultural lands by 15%, residential lands by 183%, forests by 40.1%, water bodies by -28.4%, and barren lands by 15.1%. Finally, the villages around the wetland, which have undergone the most changes, were identified.
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Schrecengost, Jenna M., i Christopher G. Hughes. "LAND COVER / LAND USE CHANGE OF RURAL WESTERN PENNSYLVANIA". W 51st Annual Northeastern GSA Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016ne-271897.

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Wang, Ping, Jixian Zhang, Zongjian Lin i Yongguo Zheng. "Methods of change extraction in land use/land cover". W Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, redaktorzy Stephen G. Ungar, Shiyi Mao i Yoshifumi Yasuoka. SPIE, 2003. http://dx.doi.org/10.1117/12.472687.

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Somayajula, V. Kiranmai A., Deepika Ghai i Sandeep Kumar. "Land Use/Land Cover Change Analysis using NDVI, PCA". W 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2021. http://dx.doi.org/10.1109/iccmc51019.2021.9418025.

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Zhang, Hong, i Ning Shu. "Land use/cover change detection based on span of land use map". W Geoinformatics 2008 and Joint conference on GIS and Built Environment: The Built Environment and its Dynamics, redaktorzy Lin Liu, Xia Li, Kai Liu, Xinchang Zhang i Xinhao Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.812702.

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He, Chunyang, Yuanyuan Zhao i Anni Wei. "Land-use/land-cover change detection by using the extended change-vector analysis". W 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5691699.

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Raporty organizacyjne na temat "Land use change"

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Hendriks, Chantal, Eric Arets, Jolien van Huijstee i Eddy Teenstra. LULUCF : Land Use, Land-Use Change and Forestry. Wageningen: Wettelijke Onderzoekstaken Natuur & Milieu, 2021. http://dx.doi.org/10.18174/545713.

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Lee-Gammage, Samuel. What is land use and land use change? Redaktor Tara Garnett. Food Climate Research Network, luty 2018. http://dx.doi.org/10.56661/4af265b4.

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Human use and alteration of land has profound effects on the environment, both locally where it takes place, and at the planetary scale via climate change and other mechanisms. This building block explains what is meant by land use and land use change, both direct and indirect.
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Hendriks, Chantal, Eric Arets, Jolien van Huijstee i Eddy Teenstra. LULUCF : Land Use, Land-Use Change and Forestry : Interactive PDF. Wageningen: Statutory Research Tasks Unit for Nature & the Environment, 2021. http://dx.doi.org/10.18174/555215.

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Fraanje, Walter, i Tara Garnett. Soy: food, feed, and land use change. Redaktor Helen Breewood. Food Climate Research Network, styczeń 2020. http://dx.doi.org/10.56661/47e58c32.

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The global growth in the production of soy and its use for different types of foods has been, and continues to be, a major contributor to land use change in the Amazon and other regions in South America. This building block explores the connections between soy, land use change, and discussions on animal- versus plant-based protein sources.
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Maguranyanga, Caleb, Keen Marozva, Ian Scoones i Toendepi Shonhe. The Political Economy of Land Use and Land Cover Change in Mvurwi Area Zimbabwe, 1984–2018. APRA, Future Agricultures Consortium, luty 2021. http://dx.doi.org/10.19088/apra.2021.001.

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An analysis of the variations in land use and land cover over the past four decades in the Mvurwi area, Mazowe district, Zimbabwe illustrates how socio-economic dynamics and natural factors combine to shape environmental change. Land use and cover changes (LULCC) were assessed using a combination of quantitative analysis (satellite imagery) of land cover and a grounded analysis of the social, economic and political factors. Explanations for the changes observed in this study highlight social, economic and political drivers that have changed over time. A simple, linear explanation of land use and land cover change is inappropriate as multiple drivers intersect, and environmental change must always be understood as co-constituted with social dynamics and political economy.
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Monfreda, Chad, Navin Ramankutty i Thomas Hertel. Global Agricultural Land Use Data for Climate Change Analysis. GTAP Working Paper, kwiecień 2008. http://dx.doi.org/10.21642/gtap.wp40.

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Kwon, Hoyoung, Xinyu Liu, Jennifer Dunn, Steffen Mueller, Michelle Wander i Michael Wang. Carbon Calculator for Land Use and Land Management Change from Biofuels Production (CCLUB). Office of Scientific and Technical Information (OSTI), wrzesień 2020. http://dx.doi.org/10.2172/1670706.

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Kwon, Hoyoung, Xinyu Liu, Jennifer Dunn, Steffen Mueller, Michelle Wander i Michael Wang. Carbon Calculator for Land Use and Land Management Change from Biofuels Production (CCLUB). Office of Scientific and Technical Information (OSTI), październik 2021. http://dx.doi.org/10.2172/1825926.

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Qin, Zhangcai, Hoyoung Kwon, Jennifer B. Dunn, Steffen Mueller, Michelle M. Wander i Michael Wang. Carbon Calculator for Land Use Change from Biofuels Production (CCLUB). Office of Scientific and Technical Information (OSTI), wrzesień 2018. http://dx.doi.org/10.2172/1480518.

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S.G., Chun, Wicke B. i Junginger M. Quantifying agricultural and non-agricultural drivers of carbon stock change from land-use change. Center for International Forestry Research (CIFOR), 2015. http://dx.doi.org/10.17528/cifor/005862.

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