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Relevant bibliographies by topics / Land use/land cover change

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Academic literature on the topic 'Land use/land cover change'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Land use/land cover change"

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Remlalruata. "STUDIES ON LAND USE AND LAND COVER CHANGE IN AIZAWL DISTRICT, MIZORAM." International Journal of Recent Research in Social Sciences and Humanities (IJRRSSH) 10, no. 2 (2023): 107–16. https://doi.org/10.5281/zenodo.8042670.

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<strong>Abstract:</strong> The Assessment of land use and land cover change is important for the development of a policy by the government. Land cover change is still a very interesting and hot topic in todays world even in Mizoram. For supporting decision-making processes, identifying LULCC and comprehending the underlying forces are crucial. We examined and analyze the changing variation of land use and land cover during the period of 2000 to 2020 using Three Landsat Thematic Mapper (TM) 4-5 C1 level-1 satellite imagery for 2000, 2010 and Landsat 8 OLI/TIRS C1 level-1 imagery for 2020. Accur

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Shyamala, R., and E. Hemavathy. "Land Use and Land Cover Change Detection in Sriperumbudur Taluk, Kanchipuram District." International Journal of Scientific Engineering and Research 6, no. 11 (2018): 35–39. https://doi.org/10.70729/ijser18383.

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Deshpande, Srinivas, and Rohan S. Gurav. "Change Detection of Land Use and Land Cover Over Ghataprabha River Basin." International Journal of Science and Research (IJSR) 12, no. 10 (2023): 71–78. http://dx.doi.org/10.21275/sr23930164256.

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Sharma, Namita, Rimlee Bora, and Jyotishma Bordoloi. "Hotspots of Land Use Land Cover Change: World’s Largest Riverine Island Scenario." Indian Journal Of Science And Technology 17, no. 43 (2024): 4536–45. http://dx.doi.org/10.17485/ijst/v17i43.3030.

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Objectives: The study gives priority to the Land Use Land Cover (LULC) changes and changing hotspot locations of Majuli, which is the largest riverine island in Assam. Methods: Satellite imageries for the years 2002, 2011, and 2022 have been utilized to observe spatiotemporal dynamics using the iso cluster unsupervised classification technique. The Iso cluster unsupervised classification method can identify clusters of an image automatically and classify it based on its clusters. The analysis of change has been taken into account by assigning six land use classes, viz. cropland, forest, waterb

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Kumar, R. Shiva, and Afsana Tabassum. "Changes of Land Use Land Cover in Bandipur National Park." Geo-Eye 10, no. 1 (2021): 22–26. https://doi.org/10.53989/bu.ge.v10i1.4.

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This study mainly focusses on changes of land use land cover (LULC) in Bandipur National Park in 2001, 2011and 2019. Methodology have been used for LULC analysis, downloaded satellite imageries of Landsat 8 (OLI) for 2019, Landsat (ETM+) for 2001, and Landsat 4-5 (TM) for 2011. with the help of Geoinformatics tools clipped the area with 5 km buffer in context to our study area and processed it with supervised classification of water, dense forest, open forest, urban, agriculture, current fallow to get LULC map for the study area. In three decades, areawise changes noticed in LULC analysis reve

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BOGALE, GEBREMARIAM. "EVALUATION OF LAND USE LAND COVER CHANGE ON STREAM FLOW: A CASE STUDY OFDEDISSA SUB BASIN, ABAY BASIN, SOUTH WESTERN ETHIOPIA." IJIERT - International Journal of Innovations in Engineering Research and Technology 3, no. 8 (2016): 44–60. https://doi.org/10.5281/zenodo.1462655.

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<strong>Land use land cover change have an impact on hydrology of the watershed on the Dedissa sun basin. The study mainly focused on estimating land use change and stream flow under different land use land cover changes of the sub basin. L and use land cove map s of 1986 and 2010 were developed using satellite image through maximum likelihood algorithm of supervised classification using ERDA S Imagine 2014. A physical - based,semi - distributed hydrological model,SWAT was used to simulate LULC effects on the hydrological response of Didessa sub - basin.During the study period the land use lan

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Wahyuni, Nurlita, Abdul Hasyim, and Soemarno Soemarno. "Dynamic of the Land Use and Land Cover Change in Banyuwangi Regency From 1995-2019." Jurnal Wasian 8, no. 2 (2021): 121–32. http://dx.doi.org/10.20886/jwas.v8i2.6707.

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The land use and land cover change phenomenon has become one concern over many regions worldwide, including Indonesia. Land use and land cover change due to human activities triggered alteration terrestrial ecosystems and its services including climate control functions. The study aimed to analyze land use and land cover change in Banyuwangi regency during 1995 – 2019. Four satellite images from acquisition year 1995, 2000, 2014 and 2019 were used to analyze the spatial and temporal changes along with field observations. The classification processes of land use and land cover included determin

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Nganro, Sudirman, Slamet Trisutomo, Roland Barkey, et al. "Prediction of Future Land Use and Land Cover (LULC) in Makassar City." TATALOKA 23, no. 2 (2021): 183–89. http://dx.doi.org/10.14710/tataloka.23.2.183-189.

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Migration from rural area to urban area increases urban population. It increases and needs for settlements, leading to conversion of agricultural lands into settlement areas. Inconsistent land use compared with spatial planning causes change in land use. Spatial land use expansion can be monitored and predicted by modeling. NetLogo application is a software integrated with Agent-Based Modeling (ABM), which can be used to predict change of land use with various complex parameters. The present study used population growth as a parameter to predict change of land use of Makassar in 2050 based on

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Guma, Isdore Paterson, Agnes Semwanga Rwashana, Benedict Oyo, and Daniel Waiswa. "Modeling Land-Use Land-Cover Change Complexity." International Journal of System Dynamics Applications 12, no. 1 (2024): 1–22. http://dx.doi.org/10.4018/ijsda.361574.

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Qualitative models help policymakers understand land-use changes by examining the processes involved and predicting future patterns. This study aims to use dynamic synthesis methodology to establish cause-and-effect relationships. The study, conducted in the Mt. Elgon region encompassing Mbale, Manafwa, Bududa, and Namisindwa districts, utilized questionnaires and interviews to gather data. Findings suggest that short-term solutions to reduce wood fuel consumption include raising awareness, promoting mindset change, and providing subsidies for alternative energy sources. Long-term strategies i

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Erickson, Donna L. "Rural land use and land cover change." Land Use Policy 12, no. 3 (1995): 223–36. http://dx.doi.org/10.1016/0264-8377(95)00005-x.

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Dissertations / Theses on the topic "Land use/land cover change"

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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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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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Chan, Cheung-Wai Jonathan. "A neural network approach to land use/land cover change detection /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21415067.

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陳章偉 and Cheung-Wai Jonathan Chan. "A neural network approach to land use/land cover change detection." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31238166.

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Saxena, Rishu. "Towards a Polyalgorithm for Land Use and Land Cover Change Detection." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/93177.

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Earth observation satellites (EOS) such as Landsat provide image datasets that can be immensely useful in numerous application domains. One way of analyzing satellite images for land use and land cover change (LULCC) is time series analysis (TSA). Several algorithms for time series analysis have been proposed by various groups in remote sensing; more algorithms (that can be adapted) are available in the general time series literature. However, in spite of an abundance of algorithms, the choice of algorithm to be used for analyzing an image stack is presently an open question. A concurrent is

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Batunacun. "Modelling land use and land cover change on the Mongolian Plateau." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21796.

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Der Bezirk Xilingol wurde als geeignetes Beispiel ausgewählt, weil es zu einem großen Flächenanteil von Grassteppe bedeckt ist und fast alle Phasen der Umweltpolitik Chinas durchlaufen hat. Es wurden zwei deutlich voneinander abgrenzbare Phasen identifiziert, von 1975 bis 2000 und von 2000 bis 2015. Während der ersten Phase, bis 2000, war Landdegradation der dominante Landnutzungswandelprozess, der 11.4 % der Gesamtfläche betraf. In dieser Phase war die menschliche Einflussnahme der Hauptfaktor in acht Landkreisen, die sich ändernden Wasserverhältnisse war es in sechs Landkreisen. Während der

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Guardiola-Claramonte, Maria Teresa. "EFFECTS OF LAND USE / LAND COVER CHANGE ON THE HYDROLOGICAL PARTITIONING." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/145730.

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Current global population growth and economic development accelerates the land cover conversion in many parts of the world and compromises the natural environment. However, the impacts of this land cover change on the hydrologic cycle at local to regional scales are poorly understood. The thesis presented here investigates the hydrologic implications of land use conversion in two different settings using two different approaches. The first study focuses in Southeast Asia and the expansion of rubber monocultures in a middle-sized basin. Field measurements suggest rubber has distinct dynamics co

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Knorn, Jan. "Studying land-use and land-cover change with high resolution data." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2012. http://dx.doi.org/10.18452/16513.

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Naturschutzgebiete sind ein essentieller Bestandteil zur Wahrung natürlicher Lebensräume. Oft verfehlt die Einrichtung solcher Schutzzonen jedoch den erwarteten Effekt. Die größte Gefahr liegt hierbei neben dem Klimawandel im direkten Einfluss des Menschen. Besonders in Phasen sozioökonomischen Umschwungs und damit verbundenen Landnutzungsveränderungen oder auch illegaler Nutzung natürlicher Ressourcen, sind Naturschutzgebiete in ihrer Funktion gefährdet. Ziel dieser Arbeit ist somit, Ursachen des Landnutzungswandels sowie dessen Auswirkungen und Ausmaß am Beispiel des rumänischen Teils der Ka

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Lawrence, Peter. "Climate impacts of Australian land cover change /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18055.pdf.

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Bradley, Andrew Vincent. "Land-use and land-cover change in the Chapare region of Bolivia." Thesis, University of Leicester, 2005. http://hdl.handle.net/2381/9586.

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This research examines the impacts of coca leaf cultivation (an ingredient for cocaine paste) on land-use and land-cover change (LULCC) in a colonised, humid-tropical forest area of central Bolivia. The socio-economic driving forces affecting the way farmers have utilised their land and the resulting effects on land-cover change are studied. Satellite imagery from 1975 to 2000, methods of participatory rural appraisal and socio-economic data has been combined to determine deforestation patterns, changes and the driving forces of LULCC. Three communities were studied: Arequipa, dominated by coc

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Books on the topic "Land use/land cover change"

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

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Walsh, Stephen J., Diego Riveros-Iregui, Javier Arce-Nazario, and Philip H. Page, eds. Land Cover and Land Use Change on Islands. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43973-6.

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Mölders, Nicole. Land-Use and Land-Cover Changes. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1527-1.

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Jokar Arsanjani, Jamal. Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23705-8.

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Wen, Yuming. Watershed land cover change in Guam. Water and Environmental Research Institute of the Western Pacific, University of Guam, 2009.

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1958-, Geist Helmut, ed. Our earth's changing land: An encyclopedia of land-use and land-cover change. Greenwood Press, 2006.

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1959-, Taniguchi Makoto, and Western Pacific Geophysics Meeting (1996 : Brisbane, Qld.), eds. Subsurface hydrological responses to land cover and land use changes. Kluwer Academic Publishers, 1997.

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Chann, Sopheak. An investigation of land cover and land use change in Stung Chrey Bak catchment, Cambodia. CDRI, 2011.

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1945-, Turner B. L., International Geosphere-Biosphere Programme, Human Dimensions Of Global Environmental Change Programme., International Council of Scientific Unions., and International Social Science Council, eds. Land-use and land-cover change: Science/research plan : B. L. Turner [et.al.]. International Geosphere-Biosphere Programme and, 1995.

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Taniguchi, Makoto. Subsurface Hydrological Responses to Land Cover and Land Use Changes. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6141-5.

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Book chapters on the topic "Land use/land cover change"

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

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

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Chu, Duo. "Land-Cover Change." In Remote Sensing of Land Use and Land Cover in Mountain Region. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7580-4_7.

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Das, Arun, Koichi Kimoto, K. Jabir, Dhritiraj Sengupta, B. S. Shriharsha, and M. Ravikumar. "Urban Land Use Land Cover Change." In Springer Geography. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5927-8_9.

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

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Verburg, Peter H., Kasper Kok, Robert Gilmore Pontius, and A. Veldkamp. "Modeling Land-Use and Land-Cover Change." In Land-Use and Land-Cover Change. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-32202-7_5.

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

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Ramankutty, Navin, Lisa Graumlich, Frédéric Achard, et al. "Global Land-Cover Change: Recent Progress, Remaining Challenges." In Land-Use and Land-Cover Change. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-32202-7_2.

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Reid, Robin S., Thomas P. Tomich, Jianchu Xu, et al. "Linking Land-Change Science and Policy: Current Lessons and Future Integration." In Land-Use and Land-Cover Change. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-32202-7_7.

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Brown, Daniel G., Robert Walker, Steven Manson, and Karen Seto. "Modeling Land Use and Land Cover Change." In Land Change Science. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-2562-4_23.

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Conference papers on the topic "Land use/land cover change"

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Siddique, Jawed, Musfira Jilani, Mark Cudden, Cristina Hava Muntean, Pramod Pathak, and Paul Stynes. "Deep learning framework for analysing land use and land cover classification and change detection." In The 8th International Conference on Video and Image Processing, edited by Xuefeng Liang. SPIE, 2025. https://doi.org/10.1117/12.3059628.

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P S, Hitha, and Sheeja M K. "Land Use and Land Cover Change Detection of Pattanamthitta District Using Semi-Automatic Classification Method." In 2025 Emerging Technologies for Intelligent Systems (ETIS). IEEE, 2025. https://doi.org/10.1109/etis64005.2025.10961903.

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Bathe, Kavita, Vimal Mehta, and Aditya Mehta. "Land Use Land Cover Classification and Change Dynamics: A Case Study in Mumbai, Maharashtra, India." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984209.

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Nwaogu, Chukwudi, Babatunde Alabi, Nasir A. Uma, Bridget E. Diag, Victor A. Agidi, and Chinwe G. Onwuagb. "LAND USE-COVER CHANGE TRAJECTORY AND IMPLICATION ON THE AGRICULTURAL AREAS OF SAO PAULO CITY: A GEOINFORMATICS APPROACH." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s08.17.

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Agricultural productivity and environmental changes can be greatly affected by agricultural and other land use. Mapping of vegetation and land cover is a fundamental way of managing the natural resources on the earth surface. To determine or study the crop productivities of any geographical location, agricultural land use is one of the crucial clues for reliable information. We aimed to investigate the effects of urbanization on agricultural lands in Sao Paulo city. A 30-year multi-temporal satellite imagery dataset from four distinct years were mapped: 1992 (Landsat TM), 2002 (Landsat ETM+),

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Ambrosia, Vincent, Florian M. Schwandner, Diofantos Hadjimitsis, Ioannis Gitas, and Garik Gutman. "The Mediterranean Regional Information Network (MedRIN): An EO Partnership for Land Cover / Land Use Change Science." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641540.

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Fachruddin, Fachruddin, Sanusi Sanusi, Andi Yusra, Rivansyah Suhendra, Muhammad Usman, and Meylis Safriani. "Modeling of Cellular Automata Marcov Chain for Land Use Change Prediction in Nagan Raya Regency." In The 2nd International Conferences on Applied Engineering, Science, Technology and Innovation. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-izt6m5.

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Agricultural land has a strategic role and function for the agrarian society of Indonesia. This is because many Indonesians depend on the agricultural sector for their livelihoods. In sustainable agricultural development land is the most important natural resource and changes in land use are inevitable because the amount does not increase but the needs always increase. This land use change also occurs in Aceh Province, especially in Nagan Raya District. Therefore, it is necessary to analyze and predict land changes in order to evaluate the suitability of land management, land use planning, red

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Hongri Zhang, Xingyuan Xiao, Ying Li, and Min Wang. "Study on land use/land cover change." In 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, and Chen-Chieh Feng. "Visualizing research of land use land cover change." In Geoinformatics 2008 and Joint conference on GIS and Built Environment: The Built Environment and its Dynamics, edited by Lin Liu, Xia Li, Kai Liu, Xinchang Zhang, and Xinhao Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.812709.

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Hou, Ankai, Abrado Blankson Samuel, Mujie Li, et al. "Land Use and Land Cover Change of Ghana." In 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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Schrecengost, Jenna M., and Christopher G. Hughes. "LAND COVER / LAND USE CHANGE OF RURAL WESTERN PENNSYLVANIA." In 51st Annual Northeastern GSA Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016ne-271897.

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Reports on the topic "Land use/land cover change"

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Maguranyanga, Caleb, Keen Marozva, Ian Scoones, and Toendepi Shonhe. The Political Economy of Land Use and Land Cover Change in Mvurwi Area Zimbabwe, 1984–2018. APRA, Future Agricultures Consortium, 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 a

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Hurtt, George. Quantification of Land-Use/Land Cover Change as Driver of Earth System Dynamics. Final Technical Report. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1523270.

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Brown, D. G., C. Polsky, P. Bolstad, et al. Ch. 13: Land Use and Land Cover Change. Climate Change Impacts in the United States: The Third National Climate Assessment. Edited by J. M. Melillo, Terese (T C. ). Richmond, and G. W. Yohe. U.S. Global Change Research Program, 2014. http://dx.doi.org/10.7930/j05q4t1q.

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Wijaya, C. I., Subekti Rahayu, A. Prasetyo, and E. Dwiyanti. Dynamics of Land Use/Cover Change and Carbon Emission in Buol District, Indonesia. World Agroforestry Centre (ICRAF), 2015. http://dx.doi.org/10.5716/wp15725.pdf.

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model applica

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Lewis, David J., and Ralph J. Alig. A spatial econometric analysis of land-use change with land cover trends data: an application to the Pacific Northwest. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2014. http://dx.doi.org/10.2737/pnw-rp-600.

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Cleary, Summers, Michelle Kinseth, and Michelle Uchitel. Land Cover Summary Statistics for Antietam National Battlefield. National Park Service, 2023. http://dx.doi.org/10.36967/2301818.

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This technical report documents the acquisition of source data, and calculation of land cover summary statistics datasets for Antietam National Battlefield. The source data and land cover calculations are available for use within the National Park Service (NPS) Inventory & Monitoring (I&M) Program. Land cover summary statistics datasets can be calculated for all geographic regions within the extent of the NPS; this report includes statistics calculated for the conterminous United States. The land cover summary statistics datasets are calculated from multiple sources, including Multi-Re

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Cleary, Summers, Michelle Kinseth, and Michelle Uchitel. Land Cover Summary Statistics for Antietam National Battlefield. National Park Service, 2022. http://dx.doi.org/10.36967/2300391.

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This technical report documents the acquisition of source data, and calculation of land cover summary statistics datasets for Antietam National Battlefield. The source data and land cover calculations are available for use within the National Park Service (NPS) Inventory & Monitoring (I&M) Program. Land cover summary statistics datasets can be calculated for all geographic regions within the extent of the NPS; this report includes statistics calculated for the conterminous United States. The land cover summary statistics datasets are calculated from multiple sources, including Multi-Re

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Mercy, Mwaniki W. Assessment of the Effects of Climate Change on Land Use and Land Cover Using Remote Sensing: A Case Study from Kenya. Edited by Hiroshan Hettiarachchi. United Nations University Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES), 2017. http://dx.doi.org/10.53325/hxmg4998.

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Baldos, Uris Lantz, and Thomas Hertel. Development of a GTAP 8 Land Use and Land Cover Data Base for Years 2004 and 2007. GTAP Research Memoranda, 2012. http://dx.doi.org/10.21642/gtap.rm23.

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Abstract:

The land-use augmented version of the GTAP Data Base has been used for a wide variety of applications (Hertel, Rose, & Tol, 2009). The original GTAP-AEZ database incorporated geospatial data on land use into the version 6 GTAP Data Base, with a benchmark year of 2001. The methodology for integrating this information into the GTAP-AEZ framework is documented by Lee et al. (2009). This database has been updated for 2004 using the version 7 GTAP Data Base, national-level crop production data from FAOSTAT and updated time-series data on cropland and pasture cover developed by Navin Ramankutty

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