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Journal articles on the topic 'LULC dynamics'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Faria de Deus, Raquel, and José António Tenedório. "Coastal Land-Use and Land-Cover Change Trajectories: Are They Sustainable?" Sustainability 13, no. 16 (2021): 8840. http://dx.doi.org/10.3390/su13168840.

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In this study, past and current land-use and land-cover (LULC) change trajectories between 1947 and 2018 were analysed in terms of sustainability using a unique set of nine detailed, high-precision LULC thematic maps for the municipality of Portimão (Algarve region), Portugal. Several Geographic Information System (GIS)-based spatial analysis techniques were used to process LULC data and assess the spatiotemporal dynamics of LULC change processes. The dynamics of LULC change were explored by analysing LULC change trajectories. In addition, spatial pattern metrics were introduced to further inv

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Dede, Moh, Chay Asdak, and Iwan Setiawan. "Spatial dynamics model of land use and land cover changes: A comparison of CA, ANN, and ANN-CA." Register: Jurnal Ilmiah Teknologi Sistem Informasi 8, no. 1 (2021): 38. http://dx.doi.org/10.26594/register.v8i1.2339.

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Land use and land cover (LULC) changes through built-up area expansion always increases linearly with land demand as a consequence of population growth and urbanization. Cirebon City is a center for Ciayumajakuning Region that continues to grow and exceeds its administrative boundaries. This phenomenon has led to peri-urban regions which show urban and rural interactions. This study aims to analyze (1) the dynamics of LULC changes using cellular automata (CA), artificial neural network (ANN), and ANN-CA; (2) the influential factors (drivers); and (3) change probability in the period 2030 and 2

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Leta, Megersa Kebede, Tamene Adugna Demissie, and Jens Tränckner. "Hydrological Responses of Watershed to Historical and Future Land Use Land Cover Change Dynamics of Nashe Watershed, Ethiopia." Water 13, no. 17 (2021): 2372. http://dx.doi.org/10.3390/w13172372.

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Land use land cover (LULC) change is the crucial driving force that affects the hydrological processes of a watershed. The changes of LULC have an important influence and are the main factor for monitoring the water balances. The assessment of LULC change is indispensable for sustainable development of land and water resources. Understanding the watershed responses to environmental changes and impacts of LULC classes on hydrological components is vigorous for planning water resources, land resource utilization, and hydrological balance sustaining. In this study, LULC effects on hydrological pa

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Munthali, Maggie G., Nerhene Davis, Abiodun M. Adeola, et al. "Local Perception of Drivers of Land-Use and Land-Cover Change Dynamics across Dedza District, Central Malawi Region." Sustainability 11, no. 3 (2019): 832. http://dx.doi.org/10.3390/su11030832.

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Research on Land Use and Land Cover (LULC) dynamics, and an understanding of the drivers responsible for these changes, are very crucial for modelling future LULC changes and the formulation of sustainable and robust land-management strategies and policy decisions. This study adopted a mixed method consisting of remote sensing and Geographic Information System (GIS)-based analysis, focus-group discussions, key informant interviews, and semi-structured interviews covering 586 households to assess LULC dynamics and associated LULC change drivers across the Dedza district, a central region of Mal

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Leta, Megersa Kebede, Tamene Adugna Demissie, and Jens Tränckner. "Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia." Sustainability 13, no. 7 (2021): 3740. http://dx.doi.org/10.3390/su13073740.

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Change of land use land cover (LULC) has been known globally as an essential driver of environmental change. Assessment of LULC change is the most precise method to comprehend the past land use, types of changes to be estimated, the forces and developments behind the changes. The aim of the study was to assess the temporal and spatial LULC dynamics of the past and to predict the future using Landsat images and LCM (Land Change Modeler) by considering the drivers of LULC dynamics. The research was conducted in Nashe watershed (Ethiopia) which is the main tributary of the Upper Blue Nile basin.

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Zaman, Haq M., Z. Saqib, Atif S. Bokhari, N. Akhtar, and S. Amir. "The Dynamics Of Urbanizations And Concomitant Land Use Land Cover Transformations In Planned And Quasi-Planned Urban Settlements Of Pakistan." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 13, no. 4 (2020): 107–20. http://dx.doi.org/10.24057/2071-9388-2020-64.

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An attempt has been made to compare the salient characteristics of LULC transformations in planned (Faisalabad) and quasi-planned (Jhang) urban settlements of Pakistan. The Landsat-5 TM, Landsat 7 EMT+ and Landsat-8 images of 1989, 1999, 2009 and 2019, respectively, were retrieved and processed through google earth engine. The dynamics of LULC critically analyzed for the three periods 1989–1999, 1999–2009 and 2009–2019. The LULC analyzed in terms of quantity of change, gains, losses, and persistence of the study area examined carefully. The study mainly focuses on the LULC transformations of t

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Mbaabu, P. R., U. Schaffner, and S. Eckert. "INVASION OF SAVANNAS BY PROSOPIS TREES IN EASTERN AFRICA: EXPLORING THEIR IMPACTS ON LULC DYNAMICS, LIVELIHOODS AND IMPLICATIONS ON SOIL ORGANIC CARBON STOCKS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 335–40. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-335-2021.

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Abstract. Trees of the genus Prosopis from the Americas, were introduced in Eastern Africa in the 1970s to mitigate land degradation and its associated disservices. However, over time these trees have spread and invaded valuable grasslands and croplands and consequently led to significant land use and land cover (LULC) changes and livelihood stress. Early detection of invasive species is essential for formulating effective management strategies to prevent further spread into non-invaded lands and for monitoring the outcome of management interventions. We mapped the spatio-temporal evolution an

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Montiel-Molina, Cristina, Lara Vilar, Catarina Romão Sequeira, et al. "Have Historical Land Use/Land Cover Changes Triggered a Fire Regime Shift in Central Spain?" Fire 2, no. 3 (2019): 44. http://dx.doi.org/10.3390/fire2030044.

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Fire is one of the main disturbance factors shaping the landscape, and landscape is a key driver of fire behavior. Considering the role played by land use and land cover (LULC) changes as the main driver of landscape dynamics, the aim of this study was to calculate and analyze (i) the real impact of fire on LULC changes and (ii) how these LULC changes were influencing the fire regime. We used methods of historical geography and socio-spatial systemic analysis for reconstructing and assessing the LULC change and fire history in six case studies in the Central Mountain System (Spain) from archiv

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Binh, Nguyen An, Huynh Song Nhut, Nguyen Ngoc An, et al. "Thirty-Year Dynamics of LULC at the Dong Thap Muoi Area, Southern Vietnam, Using Google Earth Engine." ISPRS International Journal of Geo-Information 10, no. 4 (2021): 226. http://dx.doi.org/10.3390/ijgi10040226.

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The main purpose of this paper is to assess the land use and land cover (LULC) changes for thirty years, from 1990–2020, in the Dong Thap Muoi, a flooded land area of the Mekong River Delta of Vietnam using Google Earth Engine and random forest algorithm. The specific purposes are: (1) determine the main LULC classes and (2) compute and analyze the magnitude and rate of changes for these LULC classes. For the above purposes, 128 Landsat images, topographic maps, land use status maps, cadastral maps, and ancillary data were collected and utilized to derive the LULC maps using the random forest

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Koranteng, Addo, Isaac Adu-Poku, Emmanuel Donkor, and Tomasz Zawiła-Niedźwiecki. "Geospatial assessment of land use and land cover dynamics in the mid-zone of Ghana." Folia Forestalia Polonica 62, no. 4 (2020): 288–305. http://dx.doi.org/10.2478/ffp-2020-0028.

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AbstractLand use and land cover (LULC) terrain in Ghana has undergone profound changes over the past years emanating mainly from anthropogenic activities, which have impacted countrywide and sub-regional environment. This study is a comprehensive analysis via integrated approach of geospatial procedures such as Remote Sensing (RS) and Geographic Information System (GIS) of past, present and future LULC from satellite imagery covering Ghana’s Ashanti regional capital (Kumasi) and surrounding districts. Multi-temporal satellite imagery data sets of four different years, 1990 (Landsat TM), 2000 (

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Wei, Tianfeng, Donghui Shangguan, Xia Shen, Yongjian Ding, and Shuhua Yi. "Dynamics of Land Use and Land Cover Changes in An Arid Piedmont Plain in the Middle Reaches of the Kaxgar River Basin, Xinjiang, China." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 87. http://dx.doi.org/10.3390/ijgi9020087.

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The Kaxgar River Basin, a key section of the Tarim River Basin, is a typical ecologically fragile region that has undergone rapid changes to its spatial patterns over the preceding few decades. In particular, the expansion of salinized land has posed a severe threat to ecological restoration and economic development. This study monitored the rates and patterns of land use and land cover (LULC) changes in the plain area of Aketao County in the middle reaches of the Kaxgar River Basin. Five Landsat images (captured in 1990, 1998, 2002, 2013, and 2018) were divided into seven LULC types: built-up

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Rajaei, Fatemeh, Reza Dahmardeh Behrooz, Ebrahim Ahmadisharaf, et al. "Application of Integrated Watershed Management Measures to Minimize the Land Use Change Impacts." Water 13, no. 15 (2021): 2039. http://dx.doi.org/10.3390/w13152039.

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Non-point source pollution is a major factor in excessive nutrient pollution that can result in the eutrophication. Land use/land cover (LULC) change, as a result of urbanization and agricultural intensification (e.g., increase in the consumption of fertilizers), can intensify this pollution. An informed LULC planning needs to consider the negative impacts of such anthropogenic activities to minimize the impact on water resources. The objective of this study was to inform future land use planning by considering nutrient reduction goals. We modeled the LULC dynamics and determined the capacity

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Abera, Wondwosen, and Mohammed Assen. "Dynamics of Selected Soil Quality Indicators in Response to Land Use/Cover and Elevation Variations in Wanka Watershed, Northwestern Ethiopian Highlands." Ekológia (Bratislava) 38, no. 2 (2019): 126–39. http://dx.doi.org/10.2478/eko-2019-0010.

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AbstractSoil quality (SQ) dynamics assessment vis-à-vis land use/land cover (LULC) and elevation variations in Ethiopia is desirable as elevation impact on land use is highly pronounced. This study examined SQ indicators dynamics across LULC and elevation variations. For this, surface soil samples (0−20 cm) were collected from the recognized LULC categories of different elevations in Wanka watershed, northwestern Ethiopian highlands. Both disturbed and undisturbed soil samples that were taken from three adjacent LULC (natural forest, grazing and cultivated lands) and elevation (2238–2300, 2400

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Alipbeki, Onggarbek, Chaimgul Alipbekova, Arnold Sterenharz, et al. "A Spatiotemporal Assessment of Land Use and Land Cover Changes in Peri-Urban Areas: A Case Study of Arshaly District, Kazakhstan." Sustainability 12, no. 4 (2020): 1556. http://dx.doi.org/10.3390/su12041556.

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In this study, the spatiotemporal dynamics of land use and land cover (LULC) were evaluated in the peri-urban area of the Arshaly district, which borders the capital of the Republic of Kazakhstan. Landsat multispectral images were used to study the changes in LULC. The analysis of LULC dynamics was carried out using supervised classification with a multi-temporal interval (1998, 2008, and 2018). During the study period, noticeable changes occurred in LULC. There was an increase in the area of arable land and forests and a reduction in the pastures. There was a sharp increase in the built-up ar

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Akodéwou, Amah, Johan Oszwald, Slim Saïdi, et al. "Land Use and Land Cover Dynamics Analysis of the Togodo Protected Area and Its Surroundings in Southeastern Togo, West Africa." Sustainability 12, no. 13 (2020): 5439. http://dx.doi.org/10.3390/su12135439.

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Assessing land use and land cover (LULC) change is essential for the sustainable management of natural resources, biodiversity conservation, monitoring food security, and research related to climate change and ecology. With increasingly rapid changes in LULC in response to human population growth, a better assessment of land use changes is more necessary than ever. Although a multitude of LULC assessment methods exists, none alone provides a clear understanding of changes and their underlying factors. This study analysed historical LULC changes over a temporal extent of 42 years (1974–2016) in

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Mallick, Javed, Saeed AlQadhi, Swapan Talukdar, et al. "A Novel Technique for Modeling Ecosystem Health Condition: A Case Study in Saudi Arabia." Remote Sensing 13, no. 13 (2021): 2632. http://dx.doi.org/10.3390/rs13132632.

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The present paper proposes a novel fuzzy-VORS (vigor, organization, resilience, ecosystem services) model by integrating fuzzy logic and a VORS model to predict ecosystem health conditions in Abha city of Saudi Arabia from the past to the future. In this study, a support vector machine (SVM) classifier was utilized to classify the land use land cover (LULC) maps for 1990, 2000, and 2018. The LULCs dynamics in 1990–2000, 2000–2018, and 1990–2018 were computed using delta (Δ) change and Markovian transitional probability matrix. The future LULC map for 2028 was predicted using the artificial neu

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Ma, Ting. "Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China." Remote Sensing 10, no. 9 (2018): 1447. http://dx.doi.org/10.3390/rs10091447.

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Remotely sensed artificial lighting radiances at night can provide spatially explicit proxy measures of the magnitude of human activity. Satellite-derived nighttime light images, mainly provided by the Defense Meteorological Satellite Program (DMSP) and the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB), have been increasingly used to study demographic and socioeconomic activities for a wide range of issues—for instance, human population dynamics, economic growth, and urbanization process—at multiple scales. In practice, the lack of texture information regarding man-mad

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Bhattacharjee, S., and S. K. Ghosh. "SPATIO-TEMPORAL CHANGE MODELING OF LULC: A SEMANTIC KRIGING APPROACH." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (July 14, 2015): 177–84. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-177-2015.

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Spatio-temporal land-use/ land-cover (<i>LULC</i>) change modeling is important to forecast the future <i>LULC</i> distribution, which may facilitate natural resource management, urban planning, etc. The spatio-temporal change in <i>LULC</i> trend often exhibits non-linear behavior, due to various dynamic factors, such as, human intervention (e.g., urbanization), environmental factors, etc. Hence, proper forecasting of <i>LULC</i> distribution should involve the study and trend modeling of historical data. Existing literatures have reported that

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19

Islam, Hamza, Habibuulah Abbasi, Ahmed Karam, Ali Hassan Chughtai, and Mansoor Ahmed Jiskani. "Geospatial analysis of wetlands based on land use/land cover dynamics using remote sensing and GIS in Sindh, Pakistan." Science Progress 104, no. 2 (2021): 003685042110261. http://dx.doi.org/10.1177/00368504211026143.

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In this study, the Land Use/Land Cover (LULC) change has been observed in wetlands comprises of Manchar Lake, Keenjhar Lake, and Chotiari Reservoir in Pakistan over the last four decades from 1972 to 2020. Each wetland has been categorized into four LULC classes; water, natural vegetation, agriculture land, and dry land. Multitemporal Landsat satellite data including; Multi-Spectral Scanner (MSS), Thematic Mapper (TM), and Operational Land Imager (OLI) images were used for LULC changes evaluation. The Supervised Maximum-likelihood classifier method is used to acquire satellite imagery for dete

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Mi, Jiaxin, Yongjun Yang, Shaoliang Zhang, et al. "Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification." Remote Sensing 11, no. 14 (2019): 1719. http://dx.doi.org/10.3390/rs11141719.

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Understanding the changes in a land use/land cover (LULC) is important for environmental assessment and land management. However, tracking the dynamic of LULC has proved difficult, especially in large-scale underground mining areas with extensive LULC heterogeneity and a history of multiple disturbances. Additional research related to the methods in this field is still needed. In this study, we tracked the LULC change in the Nanjiao mining area, Shanxi Province, China between 1987 and 2017 via random forest classifier and continuous Landsat imagery, where years of underground mining and refore

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Knevels, Raphael, Alexander Brenning, Simone Gingrich, et al. "Towards the Use of Land Use Legacies in Landslide Modeling: Current Challenges and Future Perspectives in an Austrian Case Study." Land 10, no. 9 (2021): 954. http://dx.doi.org/10.3390/land10090954.

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Land use/land cover (LULC) changes may alter the risk of landslide occurrence. While LULC has often been considered as a static factor representing present-day LULC, historical LULC dynamics have recently begun to attract more attention. The study objective was to assess the effect of LULC legacies of nearly 200 years on landslide susceptibility models in two Austrian municipalities (Waidhofen an der Ybbs and Paldau). We mapped three cuts of LULC patterns from historical cartographic documents in addition to remote-sensing products. Agricultural archival sources were explored to provide also a

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Bayer, Anita D., Richard Fuchs, Reinhard Mey, et al. "Diverging land-use projections cause large variability in their impacts on ecosystems and related indicators for ecosystem services." Earth System Dynamics 12, no. 1 (2021): 327–51. http://dx.doi.org/10.5194/esd-12-327-2021.

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Abstract. Land-use models and integrated assessment models provide scenarios of land-use and land-cover (LULC) changes following pathways or storylines related to different socioeconomic and environmental developments. The large diversity of available scenario projections leads to a recognizable variability in impacts on land ecosystems and the levels of services provided. We evaluated 16 projections of future LULC until 2040 that reflected different assumptions regarding socioeconomic demands and modeling protocols. By using these LULC projections in a state-of-the-art dynamic global vegetati

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Ruben, Gebdang B., Ke Zhang, Zengchuan Dong, and Jun Xia. "Analysis and Projection of Land-Use/Land-Cover Dynamics through Scenario-Based Simulations Using the CA-Markov Model: A Case Study in Guanting Reservoir Basin, China." Sustainability 12, no. 9 (2020): 3747. http://dx.doi.org/10.3390/su12093747.

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Understanding the rate and process of land-use/land-cover (LULC) change in a watershed is essential for managing natural resources and achieving sustainable development. Therefore, this study aims to analyze historical LULC change from 1980 to 2010 and project future changes in 2030, 2060, and 2090 in the Guanting Reservoir Basin (GRB), China, a critical water-supplying watershed for China’s capital Beijing, through scenario-based simulations. Two LULC scenarios, ‘business-as-usual’ and ‘governance’ (Gov), were projected using the Cellular Automata-Markov (CA–Markov) model. Historical LULC tre

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Vinayak, Bhanage, Han Soo Lee, and Shirishkumar Gedem. "Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model." Sustainability 13, no. 2 (2021): 471. http://dx.doi.org/10.3390/su13020471.

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In this study, prediction of the future land use land cover (LULC) changes over Mumbai and its surrounding region, India, was conducted to have reference information in urban development. To obtain the historical dynamics of the LULC, a supervised classification algorithm was applied to the Landsat images of 1992, 2002, and 2011. Based on spatial drivers and LULC of 1992 and 2002, the multiple perceptron neural network (MLPNN)-based Markov chain model (MCM) was applied to simulate the LULC in 2011, which was further validated using kappa statistics. Thereafter, by using 2002 and 2011 LULC, MLP

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Alexakis, Dimitrios D., and Christos Polykretis. "Studying Land Use and Land Cover Spatial Patterns Distribution in Crete, Greece with Means of Satellite Remote Sensing." Proceedings 30, no. 1 (2020): 66. http://dx.doi.org/10.3390/proceedings2019030066.

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Multi-temporal Land use and Land cover (LULC) monitoring is a crucial parameter for assessing an area’s landscape ecology regime. LULC changes can be effectively used to describe dynamics of both urban or rural environments and vegetation patterns as an important indicator of ecological environments. In this context, spatial land use properties can be quantified by using a set of landscape metrics. Landscape metrics capture inherent spatial structure of the environment and are used to enhance interpretation of spatial pattern of the landscape. This study aims to monitor diachronically the LULC

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Shastri, Sushma, Prafull Singh, Pradipika Verma, Praveen Kumar Rai, and A. P. Singh. "Land Cover Change Dynamics and their Impacts on Thermal Environment of Dadri Block, Gautam Budh Nagar, India." Journal of Landscape Ecology 13, no. 2 (2020): 1–13. http://dx.doi.org/10.2478/jlecol-2020-0007.

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AbstractLand use / land cover (LULC) has been considered as one of the important bio-physical parameters and have significant affect on local environmental change, particularly increasing anthropogenic temperature. Remote sensing images from Landsat series satellites are a major information source for LULC change analysis. In the present investigation, long term changes in LULC and its negative impact on land surface temperature (LST) were analyzed using multi-temporal Landsat satellite images between 2000 to 2016. firstly LULC of the study area has been classified and temporal changes in land

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Gu, Changjun, Yili Zhang, Linshan Liu, et al. "Qualifying Land Use and Land Cover Dynamics and Their Impacts on Ecosystem Service in Central Himalaya Transboundary Landscape Based on Google Earth Engine." Land 10, no. 2 (2021): 173. http://dx.doi.org/10.3390/land10020173.

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Land use and land cover (LULC) changes are regarded as one of the key drivers of ecosystem services degradation, especially in mountain regions where they may provide various ecosystem services to local livelihoods and surrounding areas. Additionally, ecosystems and habitats extend across political boundaries, causing more difficulties for ecosystem conservation. LULC in the Kailash Sacred Landscape (KSL) has undergone obvious changes over the past four decades; however, the spatiotemporal changes of the LULC across the whole of the KSL are still unclear, as well as the effects of LULC changes

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Bellón, Beatriz, Julien Blanco, Alta De Vos, Fabio de O. Roque, Olivier Pays, and Pierre-Cyril Renaud. "Integrated Landscape Change Analysis of Protected Areas and their Surrounding Landscapes: Application in the Brazilian Cerrado." Remote Sensing 12, no. 9 (2020): 1413. http://dx.doi.org/10.3390/rs12091413.

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Remote sensing tools have been long used to monitor landscape dynamics inside and around protected areas. Hereto, scientists have largely relied on land use and land cover (LULC) data to derive indicators for monitoring these dynamics, but these metrics do not capture changes in the state of vegetation surfaces that may compromise the ecological integrity of conservation areas’ landscapes. Here, we introduce a methodology that combines LULC change estimates with three Normalized Difference Vegetation Index-based proxy indicators of vegetation productivity, phenology, and structural change. We

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Widiawaty, Millary Agung, Arif Ismail, Moh Dede, and N. Nurhanifah. "Modeling Land Use and Land Cover Dynamic Using Geographic Information System and Markov-CA." Geosfera Indonesia 5, no. 2 (2020): 210. http://dx.doi.org/10.19184/geosi.v5i2.17596.

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The need for built-up area increases along with a rise in population growth in many regions. This phenomenon leads to a tremendous change in agricultural land and decrease in the environmental carrying capacity. Therefore, this study aims to determine Land Use and Land Cover (LULC) dynamics and the drivers used for its modeling in 2030. This is a quantitative study, which uses the dynamic models of Geographic Information System (GIS) and Markov-CA. Data were obtained from the CNES-Airbus satellite imageries in 2009, 2014, and 2019 by using Google Earth at East Cirebon. The drivers include road

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Tesfaye, Samuale, Etefa Guyassa, Antony Joseph Raj, Emiru Birhane, and Gebeyehu Taye Wondim. "Land Use and Land Cover Change, and Woody Vegetation Diversity in Human Driven Landscape of Gilgel Tekeze Catchment, Northern Ethiopia." International Journal of Forestry Research 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/614249.

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Land use and land cover (LULC) change through inappropriate agricultural practices and high human and livestock population pressure have led to severe land degradation in the Ethiopian highlands. This has led to further degradation such as biodiversity loss, deforestation, and soil erosion. The study examined woody vegetation diversity status and the impact of drivers of change across different LULC types and agroecological zones in Gilgel Tekeze catchment, northern Ethiopian highlands. LULC dynamics were assessed using GIS techniques on 1976, 1986, and 2008 satellite images. Vegetation data w

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Ramachandra, T. V., Settur Bharath, and Aithal Bharath. "SPATIO-TEMPORAL DYNAMICS ALONG THE TERRAIN GRADIENT OF DIVERSE LANDSCAPE." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 22, no. 1 (2014): 50–63. http://dx.doi.org/10.3846/16486897.2013.808639.

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Land use (LU) land cover (LC) information at a temporal scale illustrates the physical coverage of the Earth’s terrestrial surface according to its use and provides the intricate information for effective planning and management activities. LULC changes are stated as local and location specifc, collectively they act as drivers of global environmental changes. Understanding and predicting the impact of LULC change processes requires long term historical restorations and projecting into the future of land cover changes at regional to global scales. The present study aims at quantifying spatio te

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Schafer, Alexandro Gularte, and John Roger Roldan Aleixo. "Dinâmica do uso e cobertura da terra em uma bacia hidrográfica transfonteiriça Brasil-Uruguai entre 1985 e 2017." Revista Brasileira de Geografia Física 14, no. 4 (2021): 2304–21. http://dx.doi.org/10.26848/rbgf.v14.4.p2304-2321.

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This study aims to investigate the dynamics of land use and land cover (LULC) in the São Luiz river watershed, Brazil-Uruguay, between 1985 and 2017, using remote sensing and geographic information systems techniques. The study included the delimitation of the watershed and its drainage network, mapping of LULC, the calculation of landscape metrics and the determination of transitions and persistence. Severe changes in LULC patterns were detected in both the Brazilian and Uruguayan territories, caused by changes in economic activities related to the agricultural and livestock sector. Although

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Koko, Auwalu Faisal, Wu Yue, Ghali Abdullahi Abubakar, Akram Ahmed Noman Alabsi, and Roknisadeh Hamed. "Spatiotemporal Influence of Land Use/Land Cover Change Dynamics on Surface Urban Heat Island: A Case Study of Abuja Metropolis, Nigeria." ISPRS International Journal of Geo-Information 10, no. 5 (2021): 272. http://dx.doi.org/10.3390/ijgi10050272.

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Rapid urbanization in cities and urban centers has recently contributed to notable land use/land cover (LULC) changes, affecting both the climate and environment. Therefore, this study seeks to analyze changes in LULC and its spatiotemporal influence on the surface urban heat islands (UHI) in Abuja metropolis, Nigeria. To achieve this, we employed Multi-temporal Landsat data to monitor the study area’s LULC pattern and land surface temperature (LST) over the last 29 years. The study then analyzed the relationship between LULC, LST, and other vital spectral indices comprising NDVI and NDBI usin

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Nguyen, H. T. T., T. A. Pham, M. T. Doan, and P. T. X. Tran. "LAND USE/LAND COVER CHANGE PREDICTION USING MULTI-TEMPORAL SATELLITE IMAGERY AND MULTI-LAYER PERCEPTRON MARKOV MODEL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-3/W1-2020 (November 18, 2020): 99–105. http://dx.doi.org/10.5194/isprs-archives-xliv-3-w1-2020-99-2020.

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Abstract. This paper aims to predict the trend of land use land cover (LULC) changes in Dak Nong province over time. Data from Landsat images captured in 2009, 2015, and 2018 was employed to analyze and predict the spatial distributions of LULC categories. The Random Forest (RF) was adopted to classify the images into ten different LULC classes. Besides, integration of Multi-Layer Perceptron Markov Neural Network (MLP-NN) with Markov Chain (MC) was applied to predict the future LULC changes in the region based on the change detection over the previous years. For all classified images, overall

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Shao, Yajing, Xuefeng Yuan, Chaoqun Ma, Ruifang Ma, and Zhaoxia Ren. "Quantifying the Spatial Association between Land Use Change and Ecosystem Services Value: A Case Study in Xi’an, China." Sustainability 12, no. 11 (2020): 4449. http://dx.doi.org/10.3390/su12114449.

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The impact of land use and land cover (LULC) change on ecosystem services value (ESV) varies in different spatial locations. Although many studies have focused on quantifying the effect of LULC change on ESV, few have considered the spatial heterogeneity of the relationship between LULC change and ESV. Therefore, this study examines the relationship between ESV and LULC change from a spatial perspective in Xi’an City. We divide the study area into 10,522 grid cells, based on land cover data from 2000 to 2018, and we identify the spatial-temporal dynamics of LULC change. Next, we employ the Ben

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VIEDMA, OLGA, JOSÉ M. MORENO, and IGNACIO RIEIRO. "Interactions between land use/land cover change, forest fires and landscape structure in Sierra de Gredos (Central Spain)." Environmental Conservation 33, no. 3 (2006): 212–22. http://dx.doi.org/10.1017/s0376892906003122.

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In fire-prone areas, like the Mediterranean, land abandonment and forestation may interact with fire to alter landscape properties and eventually fire hazard and occurrence. However, the spatial interactions among the two processes (land-use/land cover change [LULC] and fire) are poorly known. Here, we analysed the relative effect of LULC change and fire on the landscape structure of an area of Central Spain frequently affected by fire. A series of Landsat MSS images from 1975 to 1990 was analysed to quantify annual changes in LULC, map fire perimeters and evaluate the changes in landscape pro

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Koko, Auwalu Faisal, Wu Yue, Ghali Abdullahi Abubakar, Roknisadeh Hamed, and Akram Ahmed Noman Alabsi. "Monitoring and Predicting Spatio-Temporal Land Use/Land Cover Changes in Zaria City, Nigeria, through an Integrated Cellular Automata and Markov Chain Model (CA-Markov)." Sustainability 12, no. 24 (2020): 10452. http://dx.doi.org/10.3390/su122410452.

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Monitoring land use/land cover (LULC) change dynamics plays a crucial role in formulating strategies and policies for the effective planning and sustainable development of rapidly growing cities. Therefore, this study sought to integrate the cellular automata and Markov chain model using remotely sensed data and geographical information system (GIS) techniques to monitor, map, and detect the spatio-temporal LULC change in Zaria city, Nigeria. Multi-temporal satellite images of 1990, 2005, and 2020 were pre-processed, geo-referenced, and mapped using the supervised maximum likelihood classifica

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Lin, Xiaojuan, Min Xu, Chunxiang Cao, Ramesh P. Singh, Wei Chen, and Hongrun Ju. "Land-Use/Land-Cover Changes and Their Influence on the Ecosystem in Chengdu City, China during the Period of 1992–2018." Sustainability 10, no. 10 (2018): 3580. http://dx.doi.org/10.3390/su10103580.

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Due to urban expansion, economic development, and rapid population growth, land use/land cover (LULC) is changing in major cities around the globe. Quantitative analysis of LULC change is important for studying the corresponding impact on the ecosystem service value (ESV) that helps in decision-making and ecosystem conservation. Based on LULC data retrieved from remote-sensing interpretation, we computed the changes of ESV associated with the LULC dynamics using the benefits transfer method and geographic information system (GIS) technologies during the period of 1992–2018 following self-modif

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Kandziora, Marion, Katja Dörnhöfer, Natascha M. Oppelt, and Felix Müller. "Detecting land use and land cover changes in Northern German agricultural landscapes to assess ecosystem service dynamics." Landscape Online 35 (June 15, 2014): 1–24. http://dx.doi.org/10.3097/lo.201435.

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Land use and land cover (LULC) and their changes in share and number of classes can be documented by remote sensing techniques. Information on LULC is needed for the assessment of ecosystem services and is used as input data for mapping and modelling. This information is important for decision-making and management of ecosystems and landscapes. In this study, LULC were analysed in two agricultural areas in Northern Germany by means of a pixel-based maximum likelihood classification approach of 11 Landsat TM 5 scenes between 1987 and 2011 followed by a post-classification refinement using the t

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Thonfeld, Frank, Stefanie Steinbach, Javier Muro, and Fridah Kirimi. "Long-Term Land Use/Land Cover Change Assessment of the Kilombero Catchment in Tanzania Using Random Forest Classification and Robust Change Vector Analysis." Remote Sensing 12, no. 7 (2020): 1057. http://dx.doi.org/10.3390/rs12071057.

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Information about land use/land cover (LULC) and their changes is useful for different stakeholders to assess future pathways of sustainable land use for food production as well as for nature conservation. In this study, we assess LULC changes in the Kilombero catchment in Tanzania, an important area of recent development in East Africa. LULC change is assessed in two ways: first, post-classification comparison (PCC) which allows us to directly assess changes from one LULC class to another, and second, spectral change detection. We perform LULC classification by applying random forests (RF) on

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Banchero, S., D. de Abelleyra, S. R. Veron, M. J. Mosciaro, F. Arévalos, and J. N. Volante. "RECENT LAND USE AND LAND COVER CHANGE DYNAMICS IN THE GRAN CHACO AMERICANO." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 6, 2020): 369–72. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-369-2020.

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Abstract. Land transformation is one of the most significant human changes on the Earth’s surface processes. Therefore, land use land cover time series are a key input for environmental monitoring, natural resources management, territorial planning enforcement at national scale. We here capitalize from the MapBiomas initiative to characterize land use land cover (LULC) change in the Gran Chaco between 2010 and 2017. Specifically we sought to a) quantify annual changes in the main LULC classes; b) identify the main LULC transitions and c) relate these transitions to current land use policies. W

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Diao, Jiaojiao, Jinxun Liu, Zhiliang Zhu, Mingshi Li, and Benjamin M. Sleeter. "Substantially Greater Carbon Emissions Estimated Based on Annual Land-Use Transition Data." Remote Sensing 12, no. 7 (2020): 1126. http://dx.doi.org/10.3390/rs12071126.

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Quantifying land-use and land-cover change (LULCC) effects on carbon sources and sinks has been very challenging because of the availability and quality of LULCC data. As the largest estuary in the United States, Chesapeake Bay is a rapidly changing region and is affected by human activities. A new annual land-use and land-cover (LULC) data product developed by the U.S. Geological Survey Land Change Monitoring and Analysis Program (LCMAP) from 2001 to 2011 was analyzed for transitions between agricultural land, developed land, grassland, forest land and wetland. The Land Use and Carbon Scenari

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Borini Alves, D., F. Pérez-Cabello, and M. Rodrigues Mimbrero. "Land-use and land-cover dynamics monitored by NDVI multitemporal analysis in a selected southern Amazonian area (Brazil) for the last three decades." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 329–35. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-329-2015.

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This study aims to analyse the dynamics of land-use and land-cover (LULC) in a selected southern Amazonian area (Brazil), monitoring and distinguishing trajectories in NDVI (Normalized Difference Vegetation Index) variations for the last three decades. The area, with a total of 17336 km², has been subject to significant LULC changes associated with deforestation progress and use of fire. Considering available Landsat time series, it was selected an image per year from 1984 to 2013 (path/row -231/66), at a particular period of year, atmospherically corrected using LEDAPS tools. NDVIs values wer

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Omar, Padam Jee, Nitesh Gupta, Ravi Prakash Tripathi, Shiwanshu Shekhar, and Surender . "A Study of Change in Agricultural and Forest Land in Gwalior City Using Satellite Imagery." SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 9, no. 02 (2017): 109–12. http://dx.doi.org/10.18090/samriddhi.v9i02.10870.

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The relative evaluation of land use and land cover for various uses such as forest, agriculture and water bodies etc. is the important issue in the semiarid region. Application of Remote Sensing technology for Land Use and Land Cover (LULC) change analysis has been carried out in semi-arid region of Madhya Pradesh, central part of India and found that the use of remote sensing along with Survey of India toposheets could be used appropriately for LULC mapping. The semi-arid regions are characterized by erratic rainfall and high rate of vegetation dynamics. The increasing biotic pressure togethe

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Mohamed, Mohamed, Julian Anders, and Christoph Schneider. "Monitoring of Changes in Land Use/Land Cover in Syria from 2010 to 2018 Using Multitemporal Landsat Imagery and GIS." Land 9, no. 7 (2020): 226. http://dx.doi.org/10.3390/land9070226.

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Understanding the effects of socio-ecological shocks on land use/land cover (LULC) change is essential for developing land management strategies and for reducing adverse environmental pressures. Our study examines the impacts of the armed conflict in Syria, which began in mid-2011, and the related social and economic crisis on LULC between 2010 and 2018. We used remote sensing for change detection by applying a supervised maximum likelihood classification to Landsat images of the three target years 2010, 2014, and 2018. Based on the computed extent of our LULC classes and accuracy assessment,

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Jolivet, Laurence, Ana-Maria Olteanu-Raimond, Marie-Dominique Van Damme, Marie Gombert, Simon Fauret, and Thierry Saffroy. "Feedbacks on VGI in-situ campaign for updating LULC data." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-152-2019.

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<p><strong>Abstract.</strong> This work is part of LandSense European H2020 project aiming to build a citizen platform for monitoring Land Use and Land Cover (LULC) data by integrating different types of information such as citizens-contributed data and proposing a set of services (Matheus et al., 2018). One of the pilot studies proposed in LandSense is to monitor urban dynamics to complement authoritative data sources. In this context, one of the goals of the French Mapping Agency (IGN France) is to study the potential of volunteered geographic information (VGI) (Goodchild,

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Abd El-Hamid, Hazem T. "Geospatial Analyses for Assessing the Driving Forces of Land Use/Land Cover Dynamics Around the Nile Delta Branches, Egypt." Journal of the Indian Society of Remote Sensing 48, no. 12 (2020): 1661–74. http://dx.doi.org/10.1007/s12524-020-01189-2.

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AbstractMajor driving forces can alter Land use/Land cover (LULC) dynamics and affect landscape sustainability around the Nile Delta of Egypt. The present study aims at evaluating and mapping changes in LULC and assessing the dynamics of LULC and Land Surface Temperature (LST) around the two branches of the Nile Delta, Egypt using Landsat data and GIS. Calibrated Landsat images were acquired on 2000, 2014 and 2019 and processed to produce LULC, environmental indices and LST, respectively, using ENVI 5.3. ArcGIS 10.1 was used to extract a transition map from 2000 to 2019 around the two branches

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Hassan, Talha, Jiahua Zhang, Foyez Ahmed Prodhan, Til Prasad Pangali Sharma, and Barjeece Bashir. "Surface Urban Heat Islands Dynamics in Response to LULC and Vegetation across South Asia (2000–2019)." Remote Sensing 13, no. 16 (2021): 3177. http://dx.doi.org/10.3390/rs13163177.

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Urbanization is an increasing phenomenon around the world, causing many adverse effects in urban areas. Urban heat island is are of the most well-known phenomena. In the present study, surface urban heat islands (SUHI) were studied for seven megacities of the South Asian countries from 2000–2019. The urban thermal environment and relationship between land surface temperature (LST), land use landcover (LULC) and vegetation were examined. The connection was explored with remote-sensing indices such as urban thermal field variance (UTFVI), surface urban heat island intensity (SUHII) and normal di

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Romero, Claudia P., Alicia García-Arias, Celine Dondeynaz, and Félix Francés. "Assessing Anthropogenic Dynamics in Megacities from the Characterization of Land Use/Land Cover Changes: The Bogotá Study Case." Sustainability 12, no. 9 (2020): 3884. http://dx.doi.org/10.3390/su12093884.

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Usually, megacities expand without proper planning in a context of demographic growth and are increasingly dependent on the natural resources related to the occupied area. This is a major challenge for the sustainable management of these territories, justifying the need for a better knowledge of land use/land cover (LULC) distribution and characteristics to observe spatial anthropogenic dynamics. In this study, the Bogotá river basin and the Bogotá megacity were analyzed as a case study. The main objective of this work was to analyze the historical LULC dynamics from 1985 to 2014. Reliable for

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Mohamed, Mohamed Ali. "Spatiotemporal Impacts of Urban Land Use/Land Cover Changes on Land Surface Temperature: A Comparative Study of Damascus and Aleppo (Syria)." Atmosphere 12, no. 8 (2021): 1037. http://dx.doi.org/10.3390/atmos12081037.

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Monitoring the impact of changes in land use/land cover (LULC) and land surface temperature (LST) is of great importance in environmental and urban studies. In this context, this study aimed to analyze the dynamics of LULC and its impact on the spatiotemporal variation of the LST in the two largest urban cities in Syria, Damascus, and Aleppo. To achieve this, LULC changes, normalized difference vegetation index (NDVI), and LST were calculated from multi-temporal Landsat data for the period 2010 to 2018. The study revealed significant changes in LULC, which were represented by a decrease in agr

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