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Relevant bibliographies by topics / LC (Land cover)

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Academic literature on the topic 'LC (Land cover)'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "LC (Land cover)"

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Mosca, Nicola, Fatima Mushtaq, Victor Munene, et al. "Land Characterization System Software: Implementing Land Cover Ontology." Land 13, no. 5 (2024): 617. http://dx.doi.org/10.3390/land13050617.

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Land cover (LC) plays a crucial role in the monitoring and planning of the environment among various domains, such as climate change, the management of natural resources, and sustainable development. However, inconsistent LC legends hamper their usability, particularly as technologies, like remote sensing, rapidly improve data quality and quantity for extracting valuable information. Ontologies play a pivotal role in improving the standardization and harmonization of different LC taxonomies, enabling both a reduction in inconsistencies and a way to harness ever-increasing computing power to he

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K, Ramesh, Asha R, and Jamuna E. "Assessment of land use/land cover change detection of Mettupalayam Taluk, Coimbatore district, Tamil Nadu, India, using RS and GIS." GSC Biological and Pharmaceutical Sciences 22, no. 1 (2023): 241–46. https://doi.org/10.5281/zenodo.7661343.

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Understanding changes in land use land cover is essential managing and monitoring natural resources and development, particularly where urbanization is expanding. In present study, describes land use/land cover (LU/LC) mapping and change detection analysis of Mettupalayam taluk of Coimbatore district in Tamil Nadu. Estimation in ArcGIS for LU/LC classification from LANSAT images, is the best method for classifier for the different features were used to classify the satellite images are used to classify the land use/land cover change s for the given period. The results indicated that land cover

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Syed, Rouhullah Ali, Junaid N. Khan, Rohitashw Kumar, Farooq Ahmad Lone, Shakeel Ahmad Mir, and Imran Khan. "Analysis of changes in land use and land cover in Central Kashmir of the Great Himalayas using geospatial technologies." Environment Conservation Journal 24, no. 1 (2023): 183–88. http://dx.doi.org/10.36953/ecj.12542350.

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Remote sensing data may identify changes in land use and land cover (LU/LC). Land cover changes include changing from one land cover category to another and changing conditions within a category. LU/LC change is an essential aspect of current environmental management techniques. It is vital for land conservation, sustainable development, and water resource management. The study's goal is to investigate changes in land use and land cover in Central Kashmir of the Great Himalayas. This study used LISS III 23.5 m resolution images between 2000 and 2017 to detect land cover change. Changes were id

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López, N., A. Márquez Romance, and E. Guevara Pérez. "Change dynamics of land-use and land-cover for tropical wetland management." Water Practice and Technology 15, no. 3 (2020): 632–44. http://dx.doi.org/10.2166/wpt.2020.049.

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Abstract In hydrographic basins with wetlands, changes in land use (LU) and land cover (LC) impact the conservation of natural resources, leading to dynamics analysis for integral management. A method is proposed offering greater accuracy in determining the LU and LC bi-temporal and spatial change dynamics in tropical wetlands. LU and LC monitoring is based on Landsat images from 1986 to 2017. ‘Pre-classification’ and ‘post-classification’ methods are applied. In the former, reflectance image differencing and principal component N° 1 image differencing are analyzed to estimate the rate of chan

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Sertel, Elif, Raziye Topaloğlu, Betül Şallı, Irmak Yay Algan, and Gül Aksu. "Comparison of Landscape Metrics for Three Different Level Land Cover/Land Use Maps." ISPRS International Journal of Geo-Information 7, no. 10 (2018): 408. http://dx.doi.org/10.3390/ijgi7100408.

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This research aims to investigate how different landscape metrics are affected by the enhancement of the thematic classes in land cover/land use (LC/LU) maps. For this aim, three different LC/LU maps based on three different levels of CORINE (Coordination of Information on The Environment) nomenclature were created for the selected study area using GEOBIA (Geographic Object Based Image Analysis) techniques. First, second and third level LC/LU maps of the study area have five, thirteen and twenty-seven hierarchical thematic classes, respectively. High-resolution Spot 7 images with 1.5 m spatial

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Sovann, Chansopheaktra, Stefan Olin, Ali Mansourian, et al. "Importance of Spectral Information, Seasonality, and Topography on Land Cover Classification of Tropical Land Cover Mapping." Remote Sensing 17, no. 9 (2025): 1551. https://doi.org/10.3390/rs17091551.

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Tropical forests provide essential ecosystem services, playing a critical role in climate regulation, biodiversity conservation, and regional hydrological cycles while also supporting livelihoods. However, they are increasingly threatened by deforestation and land-use change. Accurate land cover (LC) mapping is vital to monitor these changes, but mapping tropical forests is challenging due to complex spatial patterns, spectral similarities, and frequent cloud cover. This study aims to improve LC classification accuracy in such a heterogeneous tropical forest region in Southeast Asia, namely Ku

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Jangid, Amita, Mukesh Kumar Gupta, and Vishal Shrivastava. "Techniques and Challenges of the Machine Learning Method for Land Use/Land Cover (LU/LC) Classification in Remote Sensing Using the Google Earth Engine." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 85–92. http://dx.doi.org/10.17762/ijritcc.v11i7.7833.

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In order to accurately observe the globe, land use and land cover are crucial. Due to the proliferation of several global modifications associated with the existence of the planet, land use/land cover (LU/LC) classification is now regarded as a topic of highest significance in the natural environment and an important field to be researched by researchers. Google Earth provides satellite image dataset which contains high-resolution images; these images are used to analyze the land area. In order to address the dearth of review articles throughout the land use/land cover classification phase, we

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Bratic, G., M. E. Molinari, and M. A. Brovelli. "VALIDATION OF THE GLOBAL HIGH-RESOLUTION GLOBELAND30 LAND COVER MAP IN EUROPE USING LAND COVER FIELD SURVEY DATABASE - LUCAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (September 19, 2018): 51–59. http://dx.doi.org/10.5194/isprs-archives-xlii-4-51-2018.

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<p><strong>Abstract.</strong> High-resolution land cover maps are one of the technological innovations driving improvements in many fields influenced by Geographic Information Systems (GIS) and Remote Sensing. In particular, the GlobeLand30 (GL30), global LC map with spatial resolution of 30<span class="thinspace"></span>m, is thought to be one of the highest quality high-resolution products. However, these LC maps require validation to determine their suitability for a particular purpose. One of the best ways to provide useful validation reference data is to do a

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Raj, Gogana Prasanna, Asmita Deb, Dr Venkateswarlu Gogana, and Amar Viplow Beera. "Evolution of Land Use and Land Cover Change in Panjim, Goa: A Comparative Analysis from 1990 to 2024." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–15. http://dx.doi.org/10.55041/ijsrem37223.

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This research paper investigates the dynamics of land use and land cover (LU/LC) change in Panjim, Goa, India, from 1990 to 2024. Using satellite Data and GIS techniques, the study analyzes the spatial and temporal transformations of land cover categories, including forest, agriculture, urban areas, and water bodies. The primary objective is to understand the drivers of LU/LC change and assess their implications for sustainable urban development and environmental conservation. The findings reveal significant urban expansion, encroachment on agricultural lands, and reduction in forest cover. Th

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Chourushi, Shibani, Pradeep P. Lodha, and Indra Prakash. "A COMPARATIVE STUDY OF THREE DECADAL LU/LC MAPS OF SABARMATI RIVER BASIN." COMPUSOFT: An International Journal of Advanced Computer Technology 08, no. 08 (2019): 3312–16. https://doi.org/10.5281/zenodo.14832857.

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India is a country of heterogeneous land uses/ land covers. And each LU/LC plays an essential part in maintaining and conserving our natural environment. Land use is created by human beings for the betterment of human beings which includes built-up areas, agricultural areas, industrial areas, recreational areas, etc whereas land cover is the natural environmental cover present on the earth surface such as vegetation cover, forests, water bodies, wetlands etc. The main objective of the paper is to compare the three LU/LC (1985-1995-2005) maps using remote sensing and ArcGIS software to detect c

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Dissertations / Theses on the topic "LC (Land cover)"

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BELCORE, ELENA. "Generation of a Land Cover Atlas of environmental critic zones using unconventional tools." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2907028.

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Book chapters on the topic "LC (Land cover)"

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García-Álvarez, David, and Javier Lara Hinojosa. "General Land Use Cover Datasets for America and Asia." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_18.

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AbstractIn this chapter we review some examples of general Land Use Cover (LUC) mapping at a supra-national level in America and Asia. These datasets provide a general overview of the land uses and covers in specific American or Asian regions, without focusing on any particular land use or cover. For Asia, we have only identified one dataset mapping the Himalayan region, whereas for America five different datasets were identified. Only three of these are reviewed here, as the other two (SERENA, South America 30 m) are not available for download. The most ambitious project of all those reviewed

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García-Álvarez, David, Javier Lara Hinojosa, Francisco José Jurado Pérez, and Jaime Quintero Villaraso. "Global General Land Use Cover Datasets with a Time Series of Maps." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_15.

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AbstractGeneral Land Use Cover (LUC) datasets provide a holistic picture of all the land uses and covers on Earth, without focusing specifically on any individual land use category. As opposed to the LUC maps which are only available for one date or year, reviewed in Chap. “Global General Land Use Cover Datasets with a Single Date”, the maps with time series allow users to study LUC change over time. Time series of general LUC datasets at a global scale is useful for understanding global patterns of LUC change and their relation with global processes such as climate change or the loss of biodi

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García-Álvarez, David, Javier Lara Hinojosa, and Francisco José Jurado Pérez. "Global Thematic Land Use Cover Datasets Characterizing Artificial Covers." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_21.

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AbstractThe mapping of artificial covers at a global scale has received increasing attention in recent years. Numerous thematic global Land Use Cover (LUC) datasets focusing on artificial surfaces have been produced at increasingly high spatial resolutions and using methods that ensure improved levels of accuracy. In fact, there are several long time series of maps showing the evolution of artificial surfaces from the 1980s to the present. Most of them allow for change detection over time, which is possible, thanks to the high level of accuracy at which artificial surfaces can be mapped and be

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García-Álvarez, David, Javier Lara Hinojosa, and Jaime Quintero Villaraso. "Global General Land Use Cover Datasets with a Single Date." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_14.

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AbstractGlobal general Land Use and Land Cover (LUC) datasets map all land uses and covers across the globe, without focusing on any specific use or cover. This chapter only reviews those datasets available for one single date, which have not been updated over time. Seven different datasets are described in detail. Two other ones were identified, but are not included in this review, because of its coarsens, which limits their utility: Mathews Global Vegetation/Land Use and GMRCA LULC. The first experiences in global LUC mapping date back to the 1990s, when leading research groups in the field

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Sertel, Elif, Raziye Hale Topaloğlu, Kübra Bahşi, Beril Varol, and Nebiye Musaoğlu. "Production of a Land Cover/Land Use (LC/LU) Map of Izmir Metropolitan City by Using High-Resolution Images." In Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (2nd Edition). Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51210-1_290.

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Suneetha, Yedla, and M. Anji Reddy. "Spatial and Temporal Analysis of Land Use and Land Cover (LU/LC) Analysis by Supervised Classification of Landsat Data." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8031-0_31.

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Joshi, P. K., and Neena Priyanka. "Geo-Informatics for Land Use and Biodiversity Studies." In Geographic Information Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch114.

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The dynamics of land use/land cover (LU/LC) is a manifestation of the cyclic correlation among the kind and magnitude of causes, impacts, responses and resulting ecological processes of the ecosystem. Thus, the holistic understanding of the complex mechanisms that control LU/LC requires synergetic adoption of measurement approaches, addressing issues, and identifying drivers of change and state of art technologies for mitigation measures. As the spatio-temporal heterogeneity of the LU/LC increases, its impact on biodiversity becomes even more difficult to anticipate. Thus, in order to understa

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Rahman, Munshi K., Thomas W. Schmidlin, Mandy J. Munro-Stasiuk, and Andrew Curtis. "Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh." In Environmental Information Systems. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7033-2.ch048.

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This study utilizes geospatial tools of remote sensing, geographical information systems (GIS), and global positioning system (GPS) to examine the land loss, land cover (LC) change, landuse of Kutubdia Island, Bangladesh. Multi-spectral Scanner (MSS), Thematic Mapper (TM), and Landsat8 OLI imageries were used for land cover change. For assessing the landuse patterns of 2012, spatial video data were collected by using contour GPS camera. Using remote sensing analysis three different land cover classes (water, trees and forest, and agriculture) were identified and land cover changes were detecte

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Rahman, Munshi K., Thomas W. Schmidlin, Mandy J. Munro-Stasiuk, and Andrew Curtis. "Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh." In Oceanography and Coastal Informatics. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7308-1.ch021.

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This study utilizes geospatial tools of remote sensing, geographical information systems (GIS), and global positioning system (GPS) to examine the land loss, land cover (LC) change, landuse of Kutubdia Island, Bangladesh. Multi-spectral Scanner (MSS), Thematic Mapper (TM), and Landsat8 OLI imageries were used for land cover change. For assessing the landuse patterns of 2012, spatial video data were collected by using contour GPS camera. Using remote sensing analysis three different land cover classes (water, trees and forest, and agriculture) were identified and land cover changes were detecte

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Hadjimitsis D., Chrysoulakis N., Retalis A., and Themistocleous K. "Analysis of ASTER Multispectral Stereo Imagery to Update Dem and Land Cover Databases for Cyprus Island." In Imagin[e,g] Europe. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-494-8-59.

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This study presents the production of Digital Elevation Models (DEM) and land cover (LC) databases for the islands of Cyprus, capable of being used in local studies. The 1:50.000 topographic maps present a nominal horizontal accuracy of 20 m and a nominal vertical accuracy of 10 m with 90% confidence. The Advanced Spaceborn Thermal Emission and Reflection Radiometer (ASTER) offer along-track stereoscopic viewing capability. Its viewing geometry is suitable for DEM generation even without the use of ground control points. Recent studies have proved that in this case the vertical accuracy of DEM

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Conference papers on the topic "LC (Land cover)"

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Ulises, Eduardo, Abraham Sanchez, Raul Nanclares, et al. "Real-world multiclass land cover analysis and classification using a novel lightweight ConvNet." In LatinX in AI at Computer Vision and Pattern Recognition Conference 2022. Journal of LatinX in AI Research, 2022. http://dx.doi.org/10.52591/lxai202206246.

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The understanding of global climate change, agriculture resilience, and deforestation control rely on the timely observations of the Land Use and Land Cover Change (LULCC). Recently, some deep learning (DL) methods have been adapted to make an automatic classification of Land Cover (LC) for one season-homogeneous data. However, most of these DL models can not apply effectively to real-world data. i.e. a large number of classes, multi-seasonal data, diverse climate regions, high imbalance label dataset, and medium spatial resolution. In this work, we present a novel lightweight (only 89k parame

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Sahu, Smruti Ranjan, Kishan Singh Rawat, Sudhir Kumar Singh, and Anoop Bahuguna. "Land use land cover (LU/LC) change analysis using earth observation data sets over Jharsuguda districts of Odisha." In INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “TECHNOLOGY IN AGRICULTURE, ENERGY AND ECOLOGY” (TAEE2022). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0117977.

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M. Mahmood, Mohammad. "LU/LC changes and its impacts on land surface temperature in Erbil City in the Kurdistan Region of Iraq." In 1st International Conference on Climate Changes and their Environmental Risks from a Geographical Perspective. Koya University, 2024. http://dx.doi.org/10.14500/ccergp2022.gen467.

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Today, several factors, including the destruction of urban green cover and the uncontrolled increase of environmental pollutants in urban areas, lead to the confinement of solar radiation energy and the occurrence of the phenomenon of the urban heat island. It has dangerous consequences including the transmission of air pollution and toxic dispersed particles. The main purpose of this study is to identify the relationship between land use land cover and land surface temperature from 2000 to 2020. In this regard, Landsat 5 - TM and Landsat 8 - OLI_TIRS satellite images from 2000, 2011, and 2020

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Ahmed, Usman Iqbal, Arturo Velasco, and Bernhard Rabus. "Semantic Segmentation of Land Use / Land Cover (LU/LC) Types Using F-CNNS on Multi-Sensor (Radar-Ir-Optical) Image Data." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9554051.

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