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

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

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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2

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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3

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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4

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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9

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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10

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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Mursyid, Harsanto, Liana, Novita Panambe, Ronggo Sadono, and Emma Soraya. "Assessment of critical land cover rehabilitation in South Sulawesi, Indonesia." Journal of Degraded and Mining Lands Management 12, no. 2 (2025): 6965–77. https://doi.org/10.15243/jdmlm.2025.122.6965.

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The wide areas of critical land in Indonesia are attracting a high level of attention due to the significant influence of global warming. Addressing this issue requires several priority efforts, such as critical land rehabilitation programs. The level of critical land rehabilitation can be evaluated with remote sensing technology. Therefore, this research aimed to assess critical land in South Sulawesi rehabilitated by PT Vale Indonesia Tbk (PT VI) as compensation for mining nickel from the forest areas. The assessment was conducted in three villages across Luwu, namely Binturu, Lamasi, and Ra

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K Ramesh, R Asha, and E Jamuna. "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. http://dx.doi.org/10.30574/gscbps.2023.22.1.0023.

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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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13

Giuliani, Gregory, Denisa Rodila, Nathan Külling, Ramona Maggini, and Anthony Lehmann. "Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System." Land 11, no. 5 (2022): 615. http://dx.doi.org/10.3390/land11050615.

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High spatial and thematic resolution of Land Use/Cover (LU/LC) maps are central for accurate watershed analyses, improved species, and habitat distribution modeling as well as ecosystem services assessment, robust assessments of LU/LC changes, and calculation of indices. Downscaled LU/LC maps for Switzerland were obtained for three time periods by blending two inputs: the Swiss topographic base map at a 1:25,000 scale and the national LU/LC statistics obtained from aerial photointerpretation on a 100 m regular lattice of points. The spatial resolution of the resulting LU/LC map was improved by

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14

Shekar N C, Sanjay, and Hemalatha H N. "Land use and Land Cover Characteristics using Bhuvan and MODIS Satellite Data." International Journal of Recent Technology and Engineering 9, no. 5 (2021): 289–94. http://dx.doi.org/10.35940/ijrte.f5322.019521.

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Understanding vegetation characteristics is essential for watershed modeling, like in the prediction of streamflow and evapotranspiration (AET) estimation. So, the present study was taken to analyze the Land use/Land cover characteristics in a Sub-humid tropical river basin which is originating in the forested part of Western Ghats mountain ranges using the Moderate Resolution Imaging Spectroradiometer (MODIS) and Bhuvan satellite data as inputs for the algorithm. All the fourteen LU/LC characteristics present in the Hemavathi basin (5427 km2 ) were analyzed in the basin using satellite data w

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Dr., Sanjay Shekar N. C., and Hemalatha H. N. Dr. "Land use and Land Cover Characteristics using Bhuvan and MODIS Satellite Data." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 5 (2021): 289–94. https://doi.org/10.35940/ijrte.F5322.019521.

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<strong>Abstract:</strong> Understanding vegetation characteristics is essential for watershed modeling, like in the prediction of streamflow and evapotranspiration (AET) estimation. So, the present study was taken to analyze the Land use/Land cover characteristics in a Sub-humid tropical river basin which is originating in the forested part of Western Ghats mountain ranges using the Moderate Resolution Imaging Spectroradiometer (MODIS) and Bhuvan satellite data as inputs for the algorithm. All the fourteen LU/LC characteristics present in the Hemavathi basin (5427 km2 ) were analyzed in the b

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16

Liang, Li, Qingsheng Liu, Gaohuan Liu, He Li, and Chong Huang. "Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region." Remote Sensing 11, no. 12 (2019): 1396. http://dx.doi.org/10.3390/rs11121396.

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Land cover is a fundamental component of crucial importance in the earth sciences. To date, many excellent international teams have created a variety of land cover products covering the entire globe. To provide a reference for researchers studying the Arctic, this paper evaluates four commonly used land cover products. First, we compare and analyze the four land cover products from the perspectives of land cover type, distribution and spatial heterogeneity. Second, we evaluate the accuracy of such products by using two sets of sample points collected from the Arctic region. Finally, we obtain

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Liu, Jingpeng, Yu Ren, and Xidong Chen. "Regional Accuracy Assessment of 30-Meter GLC_FCS30, GlobeLand30, and CLCD Products: A Case Study in Xinjiang Area." Remote Sensing 16, no. 1 (2023): 82. http://dx.doi.org/10.3390/rs16010082.

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With the development of remote sensing technology, a number of fine-resolution (30-m) global/national land cover (LC) products have been developed. However, accuracy assessments for the developed LC products are commonly conducted at global and national scales. Due to the limited availability of representative validation observations and reference data, knowledge relating to the accuracy and applicability of existing LC products on a regional scale is limited. Since Xinjiang, China, exhibits diverse surface cover and fragmented urban landscapes, existing LC products generally have high classif

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18

Cui, Liu, Hui Yang, Liang Chu, et al. "The Verification of Land Cover Datasets with the Geo-Tagged Natural Scene Images." ISPRS International Journal of Geo-Information 11, no. 11 (2022): 567. http://dx.doi.org/10.3390/ijgi11110567.

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Land cover is important for global change studies, and its accuracy and reliability are usually verified by field sampling, which costs a lot. A method was proposed for the verification of land cover datasets with the geo-tagged natural scene images using a convolutional neural network. The nature scene images were firstly collected from the Land Use and Cover Area frame Survey (LUCAS) and global crowdsourcing images platform Flickr, then classified according to the Land Cover Classification System. The Nature Scene Image Classification (NSIC) model based on the GoogLeNet Inception network for

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19

Myina, O. M., and I. S. Myina. "Thermodynamic Entropy: A Natural Metric for Landcover Classification." Asian Journal of Research in Agriculture and Forestry 9, no. 4 (2023): 91–109. http://dx.doi.org/10.9734/ajraf/2023/v9i4237.

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Most landcover (LC) studies employ physical characteristics involving spectral reflectance. This study employs the concept of energy and entropy for LC classification. Satellite imageries from Landsat-8, the Operational Land Imager (OLI) and the Thermal Infra-Red Sensor (TIRS) captured at 100 m for three years (2013, 2015 and 2017) and resampled to a spatial resolution of 30 m for multispectral measurements were acquired. The normalized difference vegetation index (NDVI) of the study area was computed for both the wet (September/October) and dry (March) seasons of years 2013, 2015 and 2017, re

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Rahaman, S. A., S. Aruchamy, K. Balasubramani, and R. Jegankumar. "LAND USE/LAND COVER CHANGES IN SEMI-ARID MOUNTAIN LANDSCAPE IN SOUTHERN INDIA: A GEOINFORMATICS BASED MARKOV CHAIN APPROACH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 231–37. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-231-2017.

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Nowadays land use/ land cover in mountain landscape is in critical condition; it leads to high risky and uncertain environments. These areas are facing multiple stresses including degradation of land resources; vagaries of climate and depletion of water resources continuously affect land use practices and livelihoods. To understand the Land use/Land cover (Lu/Lc) changes in a semi-arid mountain landscape, Kallar watershed of Bhavani basin, in southern India has been chosen. Most of the hilly part in the study area covers with forest, plantation, orchards and vegetables and which are highly aff

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21

Thomas, Isabel Nicholson, and Gregory Giuliani. "Exploring Switzerland’s Land Cover Change Dynamics Using a National Statistical Survey." Land 12, no. 7 (2023): 1386. http://dx.doi.org/10.3390/land12071386.

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Timely and reliable Land Use and Cover change information is crucial to efficiently mitigate the negative impact of environmental changes. Switzerland has the ambitious objective of being a sustainable country while remaining an attractive business location with a high level of well-being. However, this aspiration is hampered by increasing pressures that are significantly impacting the environment and putting serious demands on land. In the present study, we used the national Land Cover (LC) dataset, named ArealStatistik, produced by the Federal Statistical Office, to explore the spatiotempora

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Liu, Pengyu, Jie Pei, Han Guo, Haifeng Tian, Huajun Fang, and Li Wang. "Evaluating the Accuracy and Spatial Agreement of Five Global Land Cover Datasets in the Ecologically Vulnerable South China Karst." Remote Sensing 14, no. 13 (2022): 3090. http://dx.doi.org/10.3390/rs14133090.

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Accurate and reliable land cover information is vital for ecosystem management and regional sustainable development, especially for ecologically vulnerable areas. The South China Karst, one of the largest and most concentrated karst distribution areas globally, has been undergoing large-scale afforestation projects to combat accelerating land degradation since the turn of the new millennium. Here, we assess five recent and widely used global land cover datasets (i.e., CCI-LC, MCD12Q1, GlobeLand30, GlobCover, and CGLS-LC) for their comparative performances in land dynamics monitoring in the Sou

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Jovanović, S., T. Predić, and G. Bratić. "ANALYSIS OF FREE AND OPEN LAND COVER MAPS FOR AGRICULTURAL LAND USE PLANNING AT LOCAL LEVEL." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 5, 2022): 237–43. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-237-2022.

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Abstract. According to the Law on Agricultural Land of the Republic of Srpska, municipalities and cities are obliged to prepare a planning document “Groundwork for Agricultural Land Protection, Use and Restructuring (The groundwork)”. Information related to the current state of land cover and land cover use are essential for the groundwork. Such layer was created for the municipality Laktaši in Bosnia and Herzegovina by digitization of land cover features from orthophoto imagery. Even if digitization provides highly reliable data, it is also time-consuming activity, and therefore the evaluatio

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Vinayan, Midhuna, B. Gurugnanam, and S. Bairavi. "Land use/Land cover Change Detection Study in Vythiri Taluk, Wayanad District, Kerala using Geospatial Technology." Disaster Advances 15, no. 4 (2022): 26–33. http://dx.doi.org/10.25303/1504da026033.

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Mapping and monitoring the land use/land cover (LU/LC) changes in the Vythiri taluk of Wayanad district are essential for sustainable improvement and management. Remote sensing and GIS technology are used to track the changes in land use/ land cover of Vythiri taluk of Wayanad district for the year 2015–2021. Images from Landsat-8 data were used to generate LU/LC maps. The maximum likelihood supervised classification approach was used to produce the signature class of the important land use/ land cover category. Six major land use/ land cover classes were noticed viz. agricultural land, barren

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Getu Engida, Tewodros, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, and John Barnabas. "Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia." Applied and Environmental Soil Science 2021 (July 29, 2021): 1–15. http://dx.doi.org/10.1155/2021/6617541.

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Understanding the hydrological process associated with Land Use/Land Cover (LU/LC) change is vital for decision-makers in improving human wellbeing. LU/LC change significantly affects the hydrology of the landscape, caused by anthropogenic activities. The scope of this study is to investigate the impact of LU/LC change on the hydrological process of Upper Baro Basin for the years 1987, 2002, and 2017. The Soil Water Assessment Tool (SWAT) model was used for the simulation of the streamflow. The required data for the SWAT model are soils obtained from the Food and Agriculture Organization; Digi

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Ampim, Peter A. Y., Michael Ogbe, Eric Obeng, Edwin K. Akley, and Dilys S. MacCarthy. "Land Cover Changes in Ghana over the Past 24 Years." Sustainability 13, no. 9 (2021): 4951. http://dx.doi.org/10.3390/su13094951.

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Changes in land cover (LC) can lead to environmental challenges, but few studies have investigated LC changes at a country wide scale in Ghana. Tracking LC changes at such a scale overtime is relevant for devising solutions to emerging issues. This study examined LC changes in Ghana for the past almost two and half decades covering 1995–2019 to highlight significant changes and opportunities for sustainable development. The study used land cover data for six selected years (1995, 2000, 2005, 2010, 2015, and 2019) obtained from the European Space Agency. The data was analyzed using R, ArcGIS Pr

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Liu, Bo, Zemin Zhang, Libo Pan, et al. "Comparison of Various Annual Land Cover Datasets in the Yellow River Basin." Remote Sensing 15, no. 10 (2023): 2539. http://dx.doi.org/10.3390/rs15102539.

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Accurate land cover (LC) datasets are the basis for global environmental and climate change studies. Recently, numerous open-source annual LC datasets have been created due to advances in remote sensing technology. However, the agreements and sources of error that affect the accuracy of current annual LC datasets are not well understood, which limits the widespread use of these datasets. We compared four annual LC datasets, namely the CLCD, MCD12Q1, CCI-LC, and GLASS-LC, in the Yellow River Basin (YRB) to identify their spatial and temporal agreement for nine LC classes and to analyze their so

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Xing, Huaqiao, Haihang Wang, Denghai Gao, Dongyang Hou, and Huayi Wu. "Simplifying Land Cover-Geoprocessing-Model Migration with a PAMC-LC Containerization Strategy in the Open Web Environment." ISPRS International Journal of Geo-Information 13, no. 6 (2024): 187. http://dx.doi.org/10.3390/ijgi13060187.

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Land cover and its changes over time are significant for better understanding the Earth’s fundamental characteristics and processes, such as global climate change, hydrology, and the carbon cycle. A number of land cover-geoprocessing models have been proposed for land cover-data production with different spatial and temporal resolutions. With the massive growth in land cover data and the increasing demand for efficient model utilization, developing efficient and convenient land cover-geoprocessing models has become a formidable challenge. Although some model-migration methods have been propose

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Shiri, Zahra, Aymen Frija, Hichem Rejeb, Hassen Ouerghemmi, and Quang Bao Le. "Data on the Land Cover Transition, Subsequent Landscape Degradation, and Improvement in Semi-Arid Rainfed Agricultural Land in North–West Tunisia." Data 9, no. 8 (2024): 96. http://dx.doi.org/10.3390/data9080096.

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Understanding past landscape changes is crucial to promote agroecological landscape transitions. This study analyzes past land cover changes (LCCs) alongside subsequent degradation and improvements in the study area. The input land cover (LC) data were taken from ESRI’s ArcGIS Living Atlas of the World and then assessed for accuracy using ground truth data points randomly selected from high-resolution images on the Google Earth Engine. The LCC analyses were performed on QGIS 3.28.15 using the Semi-Automatic Classification Plugin (SCP) to generate LCC data. The degradation or improvement derive

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Mohamed Jamil, Hana, Nurul Suliana Ahmad Hazmi, Maizaitoldura Mohd Isa, et al. "Multi-temporal Image Analysis for Land Cover Classification and Change Detection of Kuching Division, Sarawak." Journal of Advanced Geospatial Science & Technology 4, no. 2 (2024): 151–68. https://doi.org/10.11113/jagst.v4n2.91.

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Kuching and its surrounding area are vital in Sarawak’s economic growth. Over the years, the transformation of its land cover (LC) has brought significant ecological, physical, and socioeconomic consequences. Updated and precise LC maps are essential for urban planning, sustainable development, and environmental forest degradation monitoring. This study mainly focuses on LC classification using the Support Vector Machine Classifier (SVM) algorithm. The change has been identified for five general classes, which are Urban Land, Barren Land, Forest Land, Agriculture Land, and Water Bodies, for 35

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Khyami, Ali. "Impact of land cover change on land surface temperature over Greater Beirut Area – Lebanon." Journal of Geoinformatics & Environmental Research 2, no. 1 (2021): 14–27. http://dx.doi.org/10.38094/jgier2121.

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Remote sensing (RS) technology has been used together with geographic information systems (GIS) to determine the LC types, retrieve LST, and analyze their relationships. The term Greater Beirut Area (GBA) is used to refer to the city of Beirut and its suburbs which witnessed rapid urban growth, after the end of the civil war, in the last decade of the twentieth century, due to the increase in the number of its inhabitants, and the prosperity and development of sectors such as; industrial, trade, tourism, and construction. These factors led to a wide change in the land cover (LC) types and incr

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Khyami, Ali. "Impact of land cover change on land surface temperature over Greater Beirut Area – Lebanon." Journal of Applied Science and Technology Trends 3, no. 02 (2022): 74–80. http://dx.doi.org/10.38094/jastt302174.

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Remote sensing (RS) technology has been used together with geographic information systems (GIS) to determine the LC types, retrieve LST, and analyze their relationships. The term Greater Beirut Area (GBA) is used to refer to the city of Beirut and its suburbs, which witnessed rapid urban growth after the end of the civil war in the last decade of the twentieth century, due to the increase in the number of its inhabitants, and the prosperity and development of sectors such as; industrial, trade, tourism, and construction. These factors led to a wide change in land cover (LC) types and increased

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Teshome, Dawit Samuel, Megersa Kebede Leta, Habitamu Taddese, et al. "Watershed Hydrological Responses to Land Cover Changes at Muger Watershed, Upper Blue Nile River Basin, Ethiopia." Water 15, no. 14 (2023): 2533. http://dx.doi.org/10.3390/w15142533.

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Changes in land cover (LC) are the major factors influencing the hydrological processes within a watershed. Understanding the impacts of LC on watershed hydrology is crucial for planning and predicting land resource utilization, water resources, and sustaining hydrological balance. This study assesses the hydrological responses of LC changes in the Muger watershed located in the Upper Blue Nile River Basin (UBNRB) from 1986 to 2020. We used the Soil and Water Assessment Tool (SWAT) hydrological model to investigate the effects of LC on the hydrological process. The simulations were driven by s

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Bie, Qiang, Ying Shi, Xinzhang Li, and Yueju Wang. "Contrastive Analysis and Accuracy Assessment of Three Global 30 m Land Cover Maps Circa 2020 in Arid Land." Sustainability 15, no. 1 (2022): 741. http://dx.doi.org/10.3390/su15010741.

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Fine-resolution land cover (LC) products are critical for studies of urban planning, global climate change, the Earth’s energy balance, and the geochemical cycle as fundamental geospatial data products. It is important and urgent to evaluate the performance of the updated global land cover maps. In this study, three widely used LC maps with 30 m spatial resolution (FROM-GLC30-2020, GLC_FCS30, and GlobeLand30) published around 2020 were evaluated in terms of their degree of consistency and accuracy metrics. First, we compared their similarities and difference in the area ratio and spatial patte

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G.S, Dwarakish, Jagadeesha Ballambettu Pai, and Jubina C.K. "INFLUENCE OF LAND USE LAND COVER CHANGE ON RUNOFF CHARACTERISTICS OF NETRAVATHI RIVER CATCHMENT, KARNATAKA, INDIA." Water Conservation & Management 8, no. 1 (2023): 66–78. https://doi.org/10.26480/wcm.01.2024.66.78.

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The effect of LU/LC on the streamflow characteristics of the Netravathi river basin, Karnataka, India, is studied using Soil and Water Assessment Tool (SWAT) model. Landsat images, soil map from FAO, ASTER DEM (30m grid) and streamflow data, forms the database for the present work. The most significant changes from 1981 to 2015, in the LU/LC includes agricultural land (31.86%), built-up area (67.9%), forest cover (-20.01%), coconut plantation (55.12%), other vegetation (-18.55%) and others (-11.82%). The verification of performance of model was carried out by the coefficient of determination v

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Tuzcu Kokal, A., İ. İsmailoğlu, and N. Musaoğlu. "COMPARISON OF LANDSAT-9 AND PRISMA SATELLITE DATA FOR LAND USE / LAND COVER CLASSIFICATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-2-2022 (July 25, 2022): 197–201. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-2-2022-197-2022.

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Abstract. Land use and land cover (LU/LC) detection has great significance in management of natural resources and protection of environment. Hence, monitoring LU/LC with the state-of-the-art approaches has gained importance during the recent years and free access satellite images have become valuable data source. The aim of this study is to compare classification abilities of Landsat-9 and PRISMA satellite images while applying Support Vector Machine (SVM) algorithm to distinguish different LU/LC classes. For this purpose, the study area was chosen to be of heterogeneous character that include

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Said, Mateso, Canute Hyandye, Ibrahimu Chikira Mjemah, Hans Charles Komakech, and Linus Kasian Munishi. "Evaluation and Prediction of the Impacts of Land Cover Changes on Hydrological Processes in Data Constrained Southern Slopes of Kilimanjaro, Tanzania." Earth 2, no. 2 (2021): 225–47. http://dx.doi.org/10.3390/earth2020014.

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This study provides a detailed assessment of land cover (LC) changes on the water balance components on data constrained Kikafu-Weruweru-Karanga (KWK) watershed, using the integrated approaches of hydrologic modeling and partial least squares regression (PLSR). The soil and water assessment tool (SWAT) model was validated and used to simulate hydrologic responses of water balance components response to changes in LC in spatial and temporal scale. PLSR was further used to assess the influence of individual LC classes on hydrologic components. PLSR results revealed that expansion in cultivation

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Wang, Libo, Paul Bartlett, Darren Pouliot, et al. "Comparison and Assessment of Regional and Global Land Cover Datasets for Use in CLASS over Canada." Remote Sensing 11, no. 19 (2019): 2286. http://dx.doi.org/10.3390/rs11192286.

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Global land cover information is required to initialize land surface and Earth system models. In recent years, new land cover (LC) datasets at finer spatial resolutions have become available while those currently implemented in most models are outdated. This study assesses the applicability of the Climate Change Initiative (CCI) LC product for use in the Canadian Land Surface Scheme (CLASS) through comparison with finer resolution datasets over Canada, assisted with reference sample data and a vegetation continuous field tree cover fraction dataset. The results show that in comparison with the

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Der Sarkissian, Rita, Mario J. Al Sayah, Chadi Abdallah, Jean-Marc Zaninetti, and Rachid Nedjai. "Land Use Planning to Reduce Flood Risk: Opportunities, Challenges and Uncertainties in Developing Countries." Sensors 22, no. 18 (2022): 6957. http://dx.doi.org/10.3390/s22186957.

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Land use planning for flood risk reduction has been significantly addressed in literature. However, a clear methodology for flood mitigation oriented land-use planning and its implementation, particularly in developing countries like Lebanon, is still missing. Knowledge on land use planning is still in its earliest stages in Lebanon. A lack of hazard-informed land use planning coupled to random land cover pattern evolution characterize the country. In response, this study focuses on the opportunities, challenges and uncertainties resulting from the integration of land use planning into efficie

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Bachantourian, Margarita, Kyriakos Chaleplis, Alexandra Gemitzi, Kostas Kalabokidis, Palaiologos Palaiologou, and Christos Vasilakos. "Evaluation of MODIS, Climate Change Initiative, and CORINE Land Cover Products Based on a Ground Truth Dataset in a Mediterranean Landscape." Land 11, no. 9 (2022): 1453. http://dx.doi.org/10.3390/land11091453.

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Land cover can reflect global environmental changes if their associated transitions are quantitatively and correctly analysed, thus helping to assess the drivers and impacts of climate change and other applied research studies. It is highly important to acquire accurate spatial land cover information to perform multidisciplinary analyses. This work aims at estimating the accuracy of three widely used land cover products, the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover product (MCD12Q1), the European Space Agency Climate Change Initiative land cover (ESA-CCI-LC), and the EU

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Tiwari, Jagriti, S. K. Sharma, and R. J. Patil. "Land use and Land cover Mapping Based on Normalized Difference Vegetation Index using Remote Sensing and Geographical Information System in Banjar River Watershed of Narmada Basin." Current World Environment 12, no. 3 (2017): 678–84. http://dx.doi.org/10.12944/cwe.12.3.19.

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The spatial analysis of land use and land cover (LULC) dynamics is necessary for sustainable utilization and management of the land resources of an area. Remote sensing along with Geographical Information System emerged as an effective technique for mapping the LU/LC categories of an area in an efficient and cost-effective manner. The present study was conducted in Banjar river watershed located in Balaghat and Mandla district of Madhya Pradesh, India. The Normalized Difference Vegetation Index (NDVI) approach was adopted for LU/LC classification of study area. The Landsat-8 satellite data of

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Gupta, Garima, R. S. Yadav, and Deepak Maurya. "Decomposition and Nitrogen Dynamics of Tree Pruned Biomass Under Albizia Procera Based Agroforestry System in Semi Arid Region of Bundelkhand, India." Current World Environment 12, no. 3 (2017): 725–33. http://dx.doi.org/10.12944/cwe.12.3.24.

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The spatial analysis of land use and land cover (LULC) dynamics is necessary for sustainable utilization and management of the land resources of an area. Remote sensing along with Geographical Information System emerged as an effective technique for mapping the LU/LC categories of an area in an efficient and cost-effective manner. The present study was conducted in Banjar river watershed located in Balaghat and Mandla district of Madhya Pradesh, India. The Normalized Difference Vegetation Index (NDVI) approach was adopted for LU/LC classification of study area. The Landsat-8 satellite data of

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MuraliKrishna, I., and V. S. Sahithi. "ASSESSING THE RELATION BETWEEN LAND USE / LAND COVER CHANGES AND ENVIRONMENTAL PARAMETERS FOR CHENNAI CITY, TAMIL NADU: A REMOTE SENSING AND GIS APPROACH." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 471–82. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-471-2023.

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Abstract. Land use land cover changes in coastal regions are prone to many factors like rapid urbanization and industrialization, tourism, and tideline changes etc. Chennai city, a coastal city of TamilNadu, India has witnessed tremendous changes in land use land cover over the past two decades due to rapid urbanization and industrialization. Remote sensing and GIS technologies can efficiently help in analyzing these changes. In this study, changes in land use land cover patterns of Chennai city from 2005 to 2016 were assessed using IRS P6 LISS III remotely sensed satellite images. Post classi

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KC, Aman, Nimisha Wagle, and Tri Dev Acharya. "Spatiotemporal Analysis of Land Cover and the Effects on Ecosystem Service Values in Rupandehi, Nepal from 2005 to 2020." ISPRS International Journal of Geo-Information 10, no. 10 (2021): 635. http://dx.doi.org/10.3390/ijgi10100635.

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Land cover (LC) is a crucial parameter for studying environmental phenomena. Cutting-edge technology such as remote sensing (RS) and cloud computing have made LC change mapping efficient. In this study, the LC of Rupandehi District of Nepal were mapped using Landsat imagery and Random Forest (RF) classifier from 2005 to 2020 using Google Earth Engine (GEE) platform. GEE eases the way in extracting, analyzing, and performing different operations for the earth’s observed data. Land cover classification, Centre of gravity (CoG), and their trajectories for all LC classes: agriculture, built-up, wa

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Hua, Ting, Wenwu Zhao, Yanxu Liu, Shuai Wang, and Siqi Yang. "Spatial Consistency Assessments for Global Land-Cover Datasets: A Comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO." Remote Sensing 10, no. 11 (2018): 1846. http://dx.doi.org/10.3390/rs10111846.

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Numerous global-scale land-cover datasets have greatly contributed to the study of global environmental change and the sustainable management of natural resources. However, land-cover datasets inevitably experience information loss because of the nature of the uncertainty in the interpretation of remote-sensing images. Therefore, analyzing the spatial consistency of multi-source land-cover datasets on the global scale is important to maintain the consistency of time and consider the effects of land-cover changes on spatial consistency. In this study, we assess the spatial consistency of five l

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van Duynhoven, Alysha, and Suzana Dragićević. "Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change." Land 10, no. 3 (2021): 282. http://dx.doi.org/10.3390/land10030282.

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Recurrent Neural Networks (RNNs), including Long Short-Term Memory (LSTM) architectures, have obtained successful outcomes in timeseries analysis tasks. While RNNs demonstrated favourable performance for Land Cover (LC) change analyses, few studies have explored or quantified the geospatial data characteristics required to utilize this method. Likewise, many studies utilize overall measures of accuracy rather than metrics accounting for the slow or sparse changes of LC that are typically observed. Therefore, the main objective of this study is to evaluate the performance of LSTM models for for

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Pan, Yongjie, Danyun Wang, Xia Li, Yong Liu, and He Huang. "Comparison and Evaluation of Five Global Land Cover Products on the Tibetan Plateau." Land 13, no. 4 (2024): 522. http://dx.doi.org/10.3390/land13040522.

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The Tibetan Plateau (TP) region contains maximal alpine grassland ecology at the mid-latitudes. This region is also recognized as an ecologically fragile and sensitive area under the effects of global warming. Regional climate modeling and ecosystem research depend on accurate land cover (LC) information. In order to obtain accurate LC information over the TP, the reliability and precision of five moderate/high-resolution LC products (MCD12Q1, C3S-LC, GlobeLand30, GLC_FCS30, and ESA2020 in 2020) were analyzed and evaluated in this study. The different LC products were compared with each other

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Mukaetov, Dusko Mukaetov, Ivan Blinkov, and Hristina Poposka. "DYNAMIC OF LAND DEGRADATION NEUTRALITY BASELINE INDCATORS IN THE REPUBLIC OF MACEDONIA." Contributions, Section of Natural, Mathematical and Biotechnical Sciences 40, no. 1 (2019): 39. http://dx.doi.org/10.20903/csnmbs.masa.2019.40.1.130.

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Land degradation neutrality (LDN) is defined as a "state whereby the amount and quality of land resources nec-essary to support ecosystem functions and services and enhance food security remain stable or increase within specified temporal and spatial scales and ecosystems". The baseline is expressed as the initial (t0) estimated value of each of the three indicators, used as proxies of land-based natural capital and the ecosystem services that flow from that land base: land cover/land use change, land productivity status and trends, soil organic carbon status and trends. The baseline of LDN wa

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Wang, Hui, Xiaojin Wen, Yijia Wang, Liping Cai, Da Peng, and Yanxu Liu. "China’s Land Cover Fraction Change during 2001–2015 Based on Remote Sensed Data Fusion between MCD12 and CCI-LC." Remote Sensing 13, no. 3 (2021): 341. http://dx.doi.org/10.3390/rs13030341.

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New types of remote sensed land cover datasets provide key evidence for understanding global environmental change. However, low data consistency makes understanding the changes unclear. China has become a hot spot of land cover change in the world due to climate change and a series of human measures, such as ecological engineering, land consolidation, and urbanization. However, due to the inconsistencies in interpretation of signs and thresholds, the understanding of yearly-continued land cover changes in China is still unclear. We aim to produce China’s land cover fraction dataset from 2001 t

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Olofin, Emmanuel. "An Assessment of the Response of Land Surface Temperature to Land Use/Land Cover Change for Sustainable City." International Journal of Environmental Monitoring and Analysis 12, no. 5 (2024): 125–32. http://dx.doi.org/10.11648/j.ijema.20241205.13.

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The influx of people from the rural settlements to urban settlements has brought about the conversion of natural surfaces to artificial impervious surfaces. These urban features directly influence the Land Surface Temperature (LST) in the Cities. In order to analyze the changes in Land Use/Land Cover (LU/LC) and its effect on LST in Abeokuta, Ogun State, Nigeria, from 1988 to 2018, this study used Geographic Information System (GIS) and Remote Sensing. In this study, Abeokuta Landsat satellite data from 1988, 1999, 2013, and 2018 were used. A Land Use/Land Cover Changes (LU/LC) analysis was co

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