Academic literature on the topic 'IDRISI Land Change Modeler'
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Journal articles on the topic "IDRISI Land Change Modeler"
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Amrillah, Dede, Eko Kusratmoko, and Supriatna Supriatna. "Model Spasial Perubahan Penggunaan Lahan dan Pengaruhnya Terhadap Kebijakan Swasembada Padi." Majalah Geografi Indonesia 32, no. 1 (March 27, 2018): 33. http://dx.doi.org/10.22146/mgi.31911.
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Perubahan tutupan dan penggunaan lahan di Kecamatan Kalitidu, Kabupaten Bojonegoro cukup signifikan khususnya untuk penggunaan lahan sawah. Suatu wilayah dikatakan berswasembada padi jika produksi berasnya lebih besar dibandingkan dengan angka konsumsi berasnya. Dalam penelitian ini dilakukan pemodelan spasial menggunakan metode jaringan saraf Multi-Layer Perceptron (MLP) dan Markov Chain (MC) yang terdapat dalam metode Land Change Modeler (LCM) pada perangkat lunak Idrisi. Pada pemodelan spasial tersebut digunakan variabel jalan sebagai faktor pendukung perubahan penggunaan lahan di tahun 2025. Hasil yang diperoleh dari pemodelan spasial tersebut yaitu besaran luasan sawah pada tahun 2025 dengan angka 4644.99 hektar dengan nilai akurasi 56.51%. Kemudian nilai tersebut dikalikan dengan angka produktifitas padi tahun 2015 dan angka konversi gabah kering giling (GKG) menghasilkan nilai produksi beras di tahun 2025 sebesar 95705.37 ton. Angka konsumsi beras tahun 2025 sebesar 4648.402 ton didapatkan dengan mengkalikan jumlah penduduk di tahun 2025 yang memiliki angka 52515 jiwa dengan angka rata-rata konsumsi per kapita per tahun yang berada di angka 88.52 kg. Dengan demikian Kecamatan Kalitidu di tahun 2025 mampu berswasembada padi.Changes in land cover and land use in Kalitidu District, Bojonegoro Regency are significant, especially for paddy land use. A region is said to be self-sufficient in rice if its rice production is greater than its rice consumption rate. In this research, spatial modeling using Multi-Layer Perceptron (MLP) and markov chain method is applied in Land Change Modeler (LCM) method in Idrisi software. In spatial modeling used road variables as a driving factor the change of land use in 2025. The results obtained from spatial modeling is the size of paddy field area in 2025 with the number 4644.99 hectares with an accuracy of 56.51%. Then the value is multiplied by the rate of rice productivity in 2015 and the conversion rate of dry milled grain (GKG) produces rice production value in 2025 of 95705.37 tons. The consumption rate of rice in 2025 amounted to 4648,402 tons was obtained by multiplying the number of population in the year 2025 which has the number 52515 people with the average rate per capita consumption per year which is at 88.52 kg. Thus Kalitidu District in 2025 is capable of self-sufficient rice.
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Koko, Auwalu Faisal, Wu Yue, Ghali Abdullahi Abubakar, Roknisadeh Hamed, and Akram Ahmed Noman Alabsi. "Monitoring and Predicting Spatio-Temporal Land Use/Land Cover Changes in Zaria City, Nigeria, through an Integrated Cellular Automata and Markov Chain Model (CA-Markov)." Sustainability 12, no. 24 (December 14, 2020): 10452. http://dx.doi.org/10.3390/su122410452.
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Monitoring land use/land cover (LULC) change dynamics plays a crucial role in formulating strategies and policies for the effective planning and sustainable development of rapidly growing cities. Therefore, this study sought to integrate the cellular automata and Markov chain model using remotely sensed data and geographical information system (GIS) techniques to monitor, map, and detect the spatio-temporal LULC change in Zaria city, Nigeria. Multi-temporal satellite images of 1990, 2005, and 2020 were pre-processed, geo-referenced, and mapped using the supervised maximum likelihood classification to examine the city’s historical land cover (1990–2020). Subsequently, an integrated cellular automata (CA)–Markov model was utilized to model, validate, and simulate the future LULC scenario using the land change modeler (LCM) of IDRISI-TerrSet software. The change detection results revealed an expansion in built-up areas and vegetation of 65.88% and 28.95%, respectively, resulting in barren land losing 63.06% over the last three decades. The predicted LULC maps of 2035 and 2050 indicate that these patterns of barren land changing into built-up areas and vegetation will continue over the next 30 years due to urban growth, reforestation, and development of agricultural activities. These results establish past and future LULC trends and provide crucial data useful for planning and sustainable land use management.
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Osaliya, R., O. V. Wasonga, J.-G. Majaliwa Mwanjalolo, L. MacOpiyo, G. Kironchi, and E. Adipala. "Predicted land use and land cover outlook for semi-arid Lokere and Lokok catchments in Karamoja region, Uganda." African Crop Science Journal 28, no. 4 (November 25, 2020): 595–616. http://dx.doi.org/10.4314/acsj.v28i4.9.
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The semi-arid Lokere and Lokok catchments in northeastern Uganda are experiencing land use and land cover (LULC) change driven by policies and actions aimed at pastoralist sedentarisation. While these efforts present a trajectory of a landscape dominated by farming, livestock herding or grazing persists. The objective of this study was to project medium, and long-term LULC for Lokere and Lokok catchments in Karamoja, Uganda. We applied automatic multi-perceptron neural network, built on Markov chain modeling method, along with multi-criteria evaluation strategies; all embedded in the IDRISI Land Change Modeler (LCM) to project the catchments’ LULC to the year 2030 and 2050. The model was trained using 1994 and 2003 LULC, and validated with 2013 LULC. Results of three modelled policy scenarios; business as usual (BAU), pro-livestock and pro-farming; to the years 2030 and 2050 showed that small scale farming (SSF) would increase in all scenarios, even if policy shifts to promote livestock rearing. Pro-farming policies would, in both 2030 and 2050, result in reduction of grassland as SSF increases; doubling the 2003 land area by 2050. The results of this study facilitate assessment of potential impacts of the future LULC and policy evaluation in the catchments.
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Silva, Juliana de Fátima, Valter Machado Da Fonseca, and Carolline de Andrade Gomes Da Cunha. "Uso e ocupação do solo: nascentes urbanas em Araxá, MG, Brasil / Land use and occupation: urban springs in Araxá, MG, Brazil." Brazilian Journal of Animal and Environmental Research 4, no. 2 (June 9, 2021): 2405–16. http://dx.doi.org/10.34188/bjaerv4n2-069.
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Este trabalho visou a comparação do uso e ocupação do solo nos anos de 2008 e 2014 para as nascentes urbanas da cidade de Araxá – MG. Para a realização de tal comparação foi utilizado o módulo Land Change Modeler (LCM) pertencente ao Sistema de Informação Geográfica Idrisi Selva 17.1. As nascentes em estudo foram analisadas nos dois anos com relação às seguintes classes de uso do solo: ocupação urbana, área de preservação permanente (APP), pastagem e agricultura. Foi constatado que as áreas de preservação permanente (APP) foram as que mais se modificaram, transformando-se em sua grande maioria em área urbana (57,42 hectares), outros 8,46 hectares e 9,63 hectares de pastagem e agricultura, respectivamente, se transformaram em área urbana também. Com relação ao processo inverso constatou-se que 20,88 hectares e 12,42 hectares de pastagem e agricultura, respectivamente, se transformaram em área de preservação permanente (APP) no entorno das nascentes.
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Adzandeh, E. A., D. Alaigba, and C. N. Nkemasong. "Application of Geospatial Techniques and Logistic Regression Model for Urban Growth Analysis in Limbe, Cameroon." Nigerian Journal of Environmental Sciences and Technology 4, no. 1 (March 2020): 138–51. http://dx.doi.org/10.36263/nijest.2020.01.0193.
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Little is known about the nature of ecosystem loss, rampant changes in land use and land cover (LULC) and urban growth taking place in Limbe. The aim of this study is to analyze urban growth in Limbe, Cameroon from 1986-2019 using geospatial techniques and Logistic Regression Model (LRM). Landsat Thematic Mapper (1986), Enhanced Thematic Mapper+ (2002) and Operational Land Imagery/Thermal Infrared Sensor (2019) were utilized in this study. The images were classified into land cover classes using supervised image classification algorithm in ENVI software. The classification output was subjected to LRM application to evaluate urban growth. Image difference of urban growth between 1986 and 2019 was calculated as dependent variable and the independent variables were produced by calculating the Euclidean distance and Buffer of built-up, waterbody, road and farmland as driving factor for urban growth. Future urban growth was determined for 2035 using the Land Change Modeler in IDRISI Selva. Classification overall accuracy for the three date were not less than 99%. LRM results show a good fit with relative operation characteristic of 0.8344 and Pseudo R2 of 0.21. Analysis of LULC shows that built-up increased from 3.5% (1986) to 17.6% (2019). An urban land expansion rate of about 23% was observed for 2035. Transition probability matrix revealed high probability (0.6345) of build-up to remaining build-up by 2035, while the probability for it changing to waterbody, bare land, farm land and vegetation are 0.1099, 0.0459, 0.1939 and 0.1221, respectively. This study successfully demonstrates the application of geo-spatial techniques and LRM for land use/land cover change detection and in understanding the urban growth dynamics. It also identifies the potential areas of future urban growth, which can help land use policy planners for making optimum decisions of land use planning and investment.
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Da Costa Barros, Fabrizio, Leandro Andrei Beser de Deus, and Alexander Josef Sá Tobias da Costa. "ANÁLISE SOBRE TENDÊNCIAS DE EXPANSÃO URBANA NA BACIA HIDROGRÁFICA DO RIO CABUÇU-PIRAQUÊ, ZONA OESTE DA CIDADE DO RIO DE JANEIRO." Revista de Geografia - PPGEO - UFJF 10, no. 1 (August 6, 2020): 132–56. http://dx.doi.org/10.34019/2236-837x.2020.v10.31062.
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O recorte temporal deste estudo é a partir do ano de 2002, com a escolha da cidade do Rio de Janeiro como sede dos Jogos Pan-Americanos de 2007, se estendendo até o último grande evento esportivo, os Jogos Olímpicos de 2016, período que ficou conhecido como "Era dos megaeventos esportivos". Neste período, a área central da cidade recebeu grandes investimentos onde haveria maior fluxo turístico, e as áreas periféricas foram se tornando principal destino da população que perdia seu espaço nessas áreas centrais. Buscou-se fazer uma análise inicial do uso e ocupação do solo em uma destas áreas periféricas, a bacia hidrográfica do Rio Cabuçu-Piraquê, na Zona Oeste da cidade, a partir do processamento digital de imagens associado aos sistemas de informações geográficas, por meio da ferramenta Land Change Modeler, do software Idrisi SELVA com análises espaço-temporais, possibilitando identificar as tendências de mudança de uso e ocupação do solo e identificar em quais áreas essas tendências podem se consolidar.
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Silva, Nayara Lage, and Bráulio Magalhães Fonseca. "Análise espaço-temporal das mudanças no uso e cobertura do solo no município de São Thomé das Letras / Spatio-temporal land use land and cover changes analysis in the São Thomé das Letras municipality." Caderno de Geografia 26, no. 45 (December 30, 2015): 79. http://dx.doi.org/10.5752/p.2318-2962.2016v26n45p79.
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<p>O mapeamento do uso e cobertura do solo por meio da utilização de dados de sensoriamento remoto e técnicas de processamento digital de imagens tem se difundindo globalmente por permitir uma análise espacial e dinâmica das tipologias de uso e cobertura. A mineração é uma das atividades transformadoras do meio que mais causa impactos aos ambientes naturais, mesmo que de maneira concentrada, devido ao fator de rigidez locacional da atividade. É uma atividade que demanda controle ambiental em todo processo para reduzir os impactos negativos e garantir o equilíbrio dos processos ambientais. Neste contexto o trabalho objetivou: 1 - realizar uma análise multitemporal da cobertura do solo no município de São Thomé das Letras, no estado de Minas Gerais; 2 - quantificar e espacializar as alterações no período determinado entre 1984 a 2011. Buscou-se visualizar o comportamento da atividade de mineração desde seu início até os dias atuais, e consequentemente, observar a dinamicidade das mudanças ocorridas na cobertura do solo das outras classes mapeadas. Para o mapeamento do uso e cobertura do solo foi utilizado o programa SPRING/INPE e para a análise temporal/espacial de mudanças utilizou-se o modelo <em>Land Change Modeler</em> acoplado ao programa IDRISI. A partir da análise dos resultados foi possível quantificar e espacializar o avanço da mineração sob o campo rupestre/afloramento rochoso; a perda substancial da vegetação densa no intervalo do período analisado; o crescimento exponencial da ocupação urbana; e o surgimento da atividade reflorestamento.</p><p><strong>Palavras-chave:</strong> Análise multitemporal. Uso e Cobertura do Solo. <span lang="EN-US">Mineração. Sensoriamento Remoto.</span></p><p> </p><p><strong><span lang="EN-US">Abstract</span></strong></p><p><span lang="EN-US">The land use and land cover mapping using remote sensing data and techniques of digital image processing has been widely used by enabling a dynamic spatial analysis of land use and land cover types. Mining is a human activity that transforms the landscape and is one of the most impactful for natural environments, even in a concentrated way, due to locational rigidity factor of activity. It is an activity that requires environmental control throughout the process to reduce the negative impacts and ensure a balance of environmental processes. In that context the study aimed to: 1 - conduct a multi-temporal analysis of land use and land cover in São Thomé das Letras municipality, in Minas Gerais State, Brazil; 2- quantify and map changes from 1984 to 2011 in the </span><span lang="EN-US">area studied. We attempted to visualize the behavior of mining activity from its inception to the present day, and therefore observe the dynamics of change in land use and land cover of other mapped classes. To map land use and land cover was used SPRING/INPE software and to analyze the changes used the Land Change Modeler model, coupled to the IDRISI software. From the analysis of the results was possible to quantify and spatialize the advancement of mining under the outcrop and Rupestrian Fields; occurred substantial loss of dense vegetation in the analyzed time range; the exponential growth of urban occupation; and the emergence of reforestation activity.</span></p><p> </p><p><strong><span lang="EN-US">Keywords: </span></strong><span lang="EN-US">Multi-temporal analysis. Land Use and Land Cover. Mining. Remote sensing.</span></p>
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Prabowo, Dodik Prasetyo, Syamsul Bachri, and Bagus Setiabudi Wiwoho. "PREDIKSI PERUBAHAN PENGGUNAAN LAHAN DAN POLA BERDASARKAN CITRA LANDSAT MULTIWAKTU DENGAN LAND CHANGE MODELER (LCM) IDRISI SELVA 17: STUDI KASUS SUB-DAS BRANTAS HULU." Jurnal Pendidikan Geografi 22, no. 1 (January 30, 2017): 32–48. http://dx.doi.org/10.17977/um017v22i12017p032.
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Hermon, Dedi. "Estimate of Changes in Carbon Stocks Based on Land Cover Changes in the Leuser Ecosystem Area (LEA) Indonesia." Forum Geografi 29, no. 2 (February 10, 2016): 188. http://dx.doi.org/10.23917/forgeo.v29i2.1487.
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This research aimed at designing the model of land cover changes in 1990 and 2014, and estimating carbon stock changes in each land cover in Leuser Ecosystem Area (LEA). The spatial model of land cover changes was analyzed by interpreting Landsat 5 TM imagery in 1990 and Landsat 7 ETM+ imagery in 2014 with ERDAS 9.1 and Land Change Modeller (LCM) in Idrisi TerrSet v.18. The analysis of land area changes (ha) in each land cover from 1990 to 2014 used ERDAS 9.1 with tools Interpreter (GIS Analysis-Matrix). Systematic survey method was employed in order to analyze carbon stocks. The sampling technique was stratified purposive composite sampling which used plot technique. The estimate of tree biomass used allometric equation. The estimate of carbon stocks in each land cover in 1990 was measured based on the total of carbon stocks in 2014 which was conversed with the areas of each land cover in 1990. Spatial model of land cover changes in LEA in 1990-2014 showed the changes of area in each land cover which caused the changes of carbon stocks in each land cover as well.
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De Alba Martínez, Hugo. "Deforestation in the Kayabi Indigenous Territory: Simulating and Predicting Land Use and Land Cover Change in the Brazilian Amazon." Revista Cartográfica, no. 94 (August 31, 2019): 171–77. http://dx.doi.org/10.35424/rcarto.v0i94.346.
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Land use/cover change practices in the Brazilian Amazon, such as cattle ranching, logging, agriculture, mining, and urbanization are the major contributors to deforestation and have major impacts on ecosystems and environmental processes at local, regional and global scales. A simulation of future landscape in the Kayabi Indigenous Territory in the Brazilian Amazon was carried out using Geographic Information Systems (GIS), Remote Sensing and the IDRISI’s Land Change Modeler. The model was able to successfully simulate deforestation expansion in the region and identify the main landscape attributes driving anthropogenic disturbance expansion in the studied area. Distance from roads and distance from existing disturbance were found as the key factors driving deforestation in the Kayabi area.
Dissertations / Theses on the topic "IDRISI Land Change Modeler"
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Dasigi, Shalini. "An Integrated Approach Linking Land Use and Socioeconomic Characteristics for Improving Travel Demand Forecasting." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427798330.
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Pavão, Mônica. "Modelagem e análise de mudanças do uso e cobertura da terra no entorno de áreas protegidas: o caso do Parque Estadual da Cantareira - São Paulo." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-03022017-140151/.
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O Parque Estadual da Cantareira apresenta importância crucial na produção de serviços ambientais e proteção dos remanescentes de Mata Atlântica da Região Metropolitana de São Paulo. Todavia, o crescimento urbano em seu entorno se dá de forma desordenada, gerando pressões e problemas ambientais sobre essa unidade de conservação. Os estudos sobre o crescimento urbano e as análises sobre mudanças no uso e cobertura da terra permitem monitorar estas ao longo do tempo e do espaço e desta forma, indicar possíveis impactos ambientais sobre áreas protegidas. Nesse sentido, esse trabalho teve como objetivo analisar as mudanças do uso e cobertura da terra na área do Parque Estadual da Cantareira e seu entorno no período 1980-2008, além de realizar simulações de cenários futuros para a área. O trabalho foi realizado por meio da utilização de um modelo, o Land Change Modeler LCM e de mapeamentos de uso da terra existentes, associados a variáveis físicas e socioeconômicas para análise específica da expansão urbana no período. A utilização de técnicas de modelagem permitiu a geração de simulações do Uso e Cobertura da terra para o ano de 2035. Temas de restrições às mudanças, como os Parques Estaduais e Municipais existentes e de incentivos às mudanças, como o Rodoanel Mário Covas Trecho Norte, foram adicionados às simulações e possibilitaram a geração de cenários sobre o uso e cobertura da terra futuros. Considerando as limitações do uso de modelos, que são representações simplificadas da realidade, as simulações previstas pelo trabalho podem contribuir para a gestão do Parque Estadual da Cantareira, por meio de sua utilização na revisão de seu plano de manejo, e para as administrações municipais, na elaboração e revisão dos seus planos diretores, o que em última instância, traria benefícios para a amenização das pressões e dos problemas ambientais que incidem sobre essa importante unidade de conservação da Região Metropolitana de São Paulo.Cantareira State Park has crucial importance in the production of environmental services and for the protection of the Atlantic Forest remnants of São Paulo metropolitan area. However, urban growth occurs in its surroundings in a disorganized way, generating pressures and environmental problems on this protected area. Studies on urban growth and analyses on changes in land use and land cover allow monitoring changes over time and space and in this way show possible environmental impacts on protected areas. Thus, this study aimed to analyze the changes in land use and land cover in the Cantareira State Park area and its surroundings in the period 1980-2008, besides, it carries out simulations of future scenarios for the area. The study was conducted by the use of a model, the Land Change Modeler LCM, and of existing land use mapping associated with physical and socioeconomic variables for specific analysis of urban expansion in the period. The use of modeling techniques allowed the generation of simulations of land use and land cover for the year 2035. Themes of \"restrictions to changes\", as existing \"State and Municipal Parks\", and of \"incentives to changes\", as Northern Section of the Mario Covas Rodoanel, were added to the simulation and enabled the generation of scenarios on future land Use and land Cover. Considering the limitations of the models, which are simplified representations of reality, the simulations provided by the study can contribute to the management of Cantareira State Park, through its use in the review of its management plan and to municipal administrations for preparing and reviewing its Master Plans, which ultimately would benefit the easing of pressures and environmental problems that affect this important conservation unit of São Paulo metropolitan area.
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Johnson, Sara Jane. "An Evaluation of Land Change Modeler for ArcGIS for the Ecological Analysis of Landscape Composition." OpenSIUC, 2009. https://opensiuc.lib.siu.edu/theses/464.
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For the past three decades, biologists and geographers have increasingly incorporated geographical information systems to inventory and analyze spatially organized data. The proliferation of computational tools and models for visualizing, processing, and quantifying landscape patterns has continued sometimes without thorough scrutiny and scientific understanding of their benefits and limitations. The purpose of this study was to evaluate the structure and accuracy of the ecological modeling program Land Change Modeler for ArcGIS (LCM) and its analytical methods. A case study rich in land use change at Crab Orchard National Wildlife Refuge was used to focus on the program's ability to utilize imagery at multiple levels of spatial resolution and to quantify landscape change. The case study evaluated the LCM module on three primary criteria 1) inputs and outputs, 2) the impacts of scale and resolution in terms of proposed analytical methods, and 3) program structure, simplicity, flexibility, and function definitions. The study revealed that the module based structure of LCM demands specific inputs which allow for the assessment of landscape change, habitat, and biodiversity. But, the program is difficult to navigate and requires prior knowledge of analytical methods. The study also showed that the appropriate utilization of ecological computational programs should be based upon fundamental concepts of landscape ecology, the intended use of the outputs, and the prior knowledge of the user.
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Johnson, Sara J. "An evaluation of Land Change Modeler for ArcGIS for the ecological analysis of landscape composition /." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1791982161&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.
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Nguyen, Thi Thanh Huong, and Thi Thuy Phuong Ngo. "Land use/land cover change prediction in Dak Nong Province based on remote sensing and Markov Chain Model and Cellular Automata." Technische Universität Dresden, 2018. https://tud.qucosa.de/id/qucosa%3A33069.
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Land use and land cover changes (LULCC) including deforestation for agricultural land and others are elements that contribute on global environmental change. Therefore understanding a trend of these changes in the past, current, and future is important for making proper decisions to develop in a sustainable way. This study analyzed land use and land cover (LULC) changes over time for Tuy Duc district belonging to Dak Nong province based on LULC maps classified from a set of multidate satellite images captured in year 2003, 2006, 2009, and 2013 (SPOT 5 satellite images). The LULC spatio-temporal changes in the area were classified as perennial agriculture, cropland, residential area, grassland, natural forest, plantation and water surface. Based on these changes over
time, potential LULC in 2023 was predicted using Cellular Automata (CA)–Markov model. The predicted results of the change in LULC in 2023 reveal that the total area of forest will lose 9,031ha accounting of 50% in total area of the changes. This may be mainly caused by converting forest cover to agriculture (account for 28%), grassland (12%) and residential area (9%). The findings suggest that the forest conversion needs to be controlled and well managed, and a reasonable land use plan should be developed in a harmonization way with forest resources conservation.Thay đổi sử dụng đất và thảm phủ (LULCC) bao gồm cả việc phá rừng để phát triển nông nghiệp và vì các mục đích khác là tác nhân đóng góp vào biến đổi môi trường toàn cầu. Vì vậy hiểu biết về khuynh hướng của sự thay đổi này trong quá khứ, hiện tại và tương lai là quan trọng để đưa ra những quyết định dúng đắn để phát triển bền vững. Nghiên cứu đã phân tích LULCC trong thời gian qua dựa vào các bản đồ sử dụng đất và thảm phủ (LULC) đã được phân loại từ một loạt ảnh vệ tinh đa phổ được thu chụp vào năm 2003, 2006, 2009 (ảnh SPOT 5). Những thay đổi LULC theo thời gian và không gian trong khu vực được phân loại thành đất nông nghiệp với cây dài ngày, cây ngắn ngày, thổ cư, trảng cỏ cây bụi, rừng tự nhiên, rừng trồng và mặt nước. Dựa trên sự thay đổi này theo thời gian, LULC tiềm năng cho năm 2023 đã được dự báo bằng cách sử dụng mô hình CAMarkov. Kết quả dự báo LULCC năm 2023 đã cho thấy tổng diện tích rừng bị mất khoảng 9,031 ha chiếm 50% trong tổng số diện tích thay đổi. Điều này chủ yếu là do chuyển đổi từ rừng tự nhiên sang canh tác nông nghiệp (chiếm 28%), trảng cỏ cây bụi (12%) và khu dân cư (9%). Kết quả cho thấy việc chuyển đổi rừng cần phải được kiểm soát và quản lý tốt và một kế hoạch sử dụng đất hợp lý cần được xây dựng trong sự hài hòa với bảo tồn tài nguyên rừng.
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Mokadi, Elad. "Modeling the Future Impact of Cincinnati’s Proposed Streetcar on Urban Land Use Changes." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1314040415.
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Sahalu, Atalel Getu. "Analysis of urban land use and land cover changes: a case of study in Bahir Dar, Ethiopia." Master's thesis, 2014. http://hdl.handle.net/10362/11553.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial TechnologiesThe high rate of urbanization coupled with population growth has caused changes in land use and land cover in Bahir Dar, Ethiopia. Therefore, understanding and quantifying the spatio- temporal dynamics of urban land use and land cover changes and its driving factors is essential to put forward the right policies and monitoring mechanisms on urban growth for decision making. Thus, the objective of this study was to analyze land use and land cover changes in Bahir Dar area, Ethiopia by applying geospatial and land use change modeling tools. In order to achieve this, satellite data of Landsat TM for 1986 and ETM for 2001 and 2010 have been obtained and preprocessed using ArcGIS. The Maximum Liklihood Algorithm of Supervised Classification has been used to generate land use and land cover maps. For the accuracy of classified land use and land cover maps, a confusion matrix was used to derive overall accuracy and results were above the minimum and acceptable threshold level. The generated land cover maps have been run with Land Change Modeler for quantifying land use and land cover changes, to examine land use transitions between land cover classes, to identify gain and losses of built up areas in relation to other land cover classes and to asses spatial trend of built up areas. Finally, Land Change Modeler has been run to model land use and land cover changes in Bahir Dar area and to predict future urban land use changes. To achieve this, four model variables that explain urban growth and six land cover transitions were incorporated in the modeling process. Multi-layer perceptron neural network was used to model the transition potential maps and achieved an accuracy of 61%. This result was acceptable to make actual prediction using Markov chain analysis for year 2010. Validation results showed that the model (Land Change Modeler) had a lower accuracy in simulating changes for the year 2010. Generally, the results of this study have shown that there was an increased expansion of built up areas in the last 25 years from 1.5% in 1986 to 4.1 % in 2001 and 9.4% in 2010 at the expense of agricultural areas. The spatial trend of built up areas also showed that there was a growing trend in the western part of Bahir Dar relative to other directions. Therefore, the findings of this study could provide as decision making for urban planning.
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Megahed, Yasmine. "Land cover mapping analysis and urban growth modeling using remote sensing techniques." Master's thesis, 2015. http://hdl.handle.net/10362/14551.
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The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning.
The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades.
The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software.
The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.
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Indrová, Magdalena. "Srovnání možností software Dyna-Clue a LandChangemodeler pro predikční modelování suburbánního rozvoje modelového území v zázemí Prahy." Master's thesis, 2012. http://www.nusl.cz/ntk/nusl-306712.
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Comparison of Dyna-CLUE and Land Change Modeler software for predictive modelling in the suburban area of Prague Abstract The objective of this work was to predict the development of the suburban area of Prague, using Dyna- CLUE and Land Change Modeler (LCM) software, and based on the results compare the capabilities of both these software tools. In this work I used time series of land cover data obtained by the department of applied geoinformatics and cartography, local plans of the municipalities, and information about soil protection provided by the Research Institute for Soil and Water Conservation. Based on these data, a predicted land cover map for 2020 was created in both software tools. The results were then compared and showed that the models respect the restriction of development in predetermined areas. In accordance with local plans, new residential development was properly allocated. For commercial development, the requirements were not completely fulfilled. It is evident that both models are able to create a correct map of future land cover based on specified requirements. However, the instability of LCM and the necessity of using other software while working with Dyna- CLUE somewhat complicated the work. Keywords: Dyna-CLUE, Land Change Modeler, predictive modelling, land cover, residential...
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Niquisse, Sérgio Moisés Anguirai. "Serviços de ecossistemas em Moçambique: uma avaliação biofísica e monetária entre 2005 e 2025." Doctoral thesis, 2018. http://hdl.handle.net/10362/64067.
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A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management Specialization in Geographical Information SystemLand cover change has been negatively affecting the provision of ecosystem services (ES) to satisfy the increasingly global demand of goods. ES valuation assessments may provide relevant information to policy makers about natural capital, being one potentially effective way of achieving sustainability. In this work GlobCover land cover data was utilized to identify Mozambique’s biomes between 2005 and 2009. A benefit transfer approach was used to estimate the values of the services delivered by the ecosystems. With this dissertation we intend to contribute to a better understanding of the value of ES provision and its contribution for wellbeing in Mozambique, and create the conditions for better maintaining these services. For that reason, we develop three studies about ES assessment; we start with the assessment of changes in ecosystem service monetary values in Mozambique between 2005 and 2009 (Chapter 2). Then we study multiple ES using ES indicators, including biodiversity, from 2005 to 2025 (Chapter 3). Finally, a prediction of ES monetary value for 2025 is presented (Chapter 4). This set of studies may contribute to the development of policy instruments and assist decision policies affecting ES provision and trade-offs in Mozambique. Additionally, they can also be used to call for the importance of considering ES in national well-being accounting, and for going beyond GDP as a national welfare measure and policy goal.
A mudança do uso e da cobertura do solo tem afetado negativamente a provisão de serviços de ecossistemas (SE). As avaliações de SE podem prevenir de forma eficaz essa tendência e preservar o capital natural (CN). Neste trabalho, utilizámos os dados de uso e cobertura do solo GlobCover estudar as alterações nos biomas de Moçambique entre 2005 e 2009. A valorização económica dos SE fornecidos pelos biomas foi feita através do método de transferência de benefício. Com esta dissertação, pretendemos contribuir para uma melhor compreensão do valor da provisão de ES e sua contribuição para o bem-estar em Moçambique, a fim de criar condições para uma melhor manutenção desses serviços. Por essa razão, desenvolvemos três estudos sobre a avaliação de SE; começamos com avaliação das mudanças nos valores monetários do serviço dos ecossistemas em Moçambique entre 2005 e 2009 (Capítulo 2). Depois, estudamos os múltiplos SE usando cinco indicadores, incluindo a biodiversidade de 2005 a 2025 (Capitulo 3). Finalmente, estudamos a previsão do valor monetário do SE para 2025 (Capítulo 4). Esses estudos podem contribuir para o desenvolvimento e monitoramento de instrumentos de política que considerem provisão de SE. Estes também pode contribuir com uma metodologia que pode ser útil para monitorar SE e auxiliar políticas de decisão que afetam a provisão e as compensações de SE. Além disso, também podem ser usados para chamar a atenção da sua importância para que SE sejam considerados na contabilidade nacional de bem-estar e para ir além do PIB como medida nacional de bem-estar e objetivo político.
Book chapters on the topic "IDRISI Land Change Modeler"
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Eastman, J. R., and J. Toledano. "A Short Presentation of the Land Change Modeler (LCM)." In Geomatic Approaches for Modeling Land Change Scenarios, 499–505. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60801-3_36.
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"Land use/land cover prediction based on land change modeler approach." In Environmental Protection and Sustainable Ecological Development, 73–78. CRC Press, 2015. http://dx.doi.org/10.1201/b18507-13.
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Brister, Evelyn, Elizabeth Hane, and Karl Korfmacher. "Visualizing Plant Community Change Using Historical Records." In Geographic Information Systems, 2063–79. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch123.
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Ecological data from land surveys from 1811 for the 100,000-acre Connecticut Tract in western New York were transcribed and then analyzed using ArcGIS and IDRISI GIS software. The surveys contained both witness tree data and line descriptions, which were analyzed for species composition and community type. Results illustrate that many changes have occurred in species composition. Possible causes of these changes to the mature forests may include introduced pests and diseases or anthropogenic land-use change. Comparisons to the National Wetlands Inventory Database reveal that while some of the wetlands that were present in 1811 still exist today, particularly in the Byron-Bergen Swamp and in the wetlands along the Lake Ontario shoreline, other original wetlands have been lost while new wetlands have replaced some upland forests. This study helps elucidate past causes of temporal and spatial variability, and it provides a reference point for land managers who need to understand the effects of land-use history for ongoing restoration efforts.
Conference papers on the topic "IDRISI Land Change Modeler"
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Jiang, Ziying. "The road extension model in the land change modeler for ecological sustainability of IDRISI." In the 15th annual ACM international symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1341012.1341030.
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Briones, Alejandro M., and Balu Sekar. "Characteristics of Multi-Cavity Trapped Vortex Combustors." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22151.
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This research is motivated towards improving and optimizing the performance of AFRL’s Inter-Turbine Burner (ITB) in terms of greater combustion efficiency, reduced losses and exit temperature profile requirements. The ITB is a minicombustor concept, situated in between the high and low pressure turbine stages and typically contains multiple fueled and non-fueled Trapped Vortex Combustor (TVC) cavities. The size, placement, and arrangement of these cavities have tremendous effect on the combustor exit temperature profile. The detailed understanding of the effect of these cavities in a three-dimensional ITB configuration would be very difficult and computationally prohibited. Therefore, a simple but somewhat similar conceptual axi-symmetric burner is used here the design variations of Trapped Vortex Combustor (TVC) through modeling and simulation. The TVC can be one single cavity or can be represented by multi-cavity combustor. In this paper, both single cavity TVC and multi-cavity TVCs are studied. The single cavity TVC is divided into multiple cavities while the total volume of the combustor remains constant. Four combustors are studied: Baseline, Staged, Three-Staged, and Interdigitated TVC. An extensive computational investigation on the characteristics of these multi-cavity TVCs is presented. FLUENT is used for modeling the axisymmetric reacting flow past cavities using a global eddy dissipation mechanism for C3H8-air combustion with detailed thermodynamic and transport properties. Calculations are performed using Standard, RNG, and Realizable k-ε RANS turbulence models. The numerical results are validated against experimental temperature measurements on the Base TVC. Results indicate that the pressure drag is the major contributor to total drag in the Base TVC. However, viscous drag is still significant. By adding a concentric cavity in sequential manner (i.e. Staged TVC), the pressure drag decreases, whereas the viscous drag remains nearly constant. Further addition of a secondary concentric cavity (i.e. Three-Staged TVC), the total drag does not further decrease and both pressure and viscous drag contributions do not change. If instead a non-concentric cavity is added to the Base TVC (i.e. Interdigitated TVC), the pressure drag increases while the viscous drag decreases slightly. The effect of adding swirl flow is to increase the fuel-air mixing and as a result, it increases the maximum exit temperature for all the combustors modeled. The jets and heat release contribute to increase pressure drag with the former being greater. The fuel and air jets and heat release also modify the cavity flow structure. By turning off the fuel and air jets in the Staged TVC, lower drag (or pressure loss) and exit temperature are achieved. It is more effective to turn off the fuel and air jets in the upstream (front) cavity in order to reduce pressure losses. Based on these results, recommendations are provided to the engineer/designer/modeler to improve the performance of the ITB.