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Dynamics of land use/land cover Considering Ecosystem Services for a Dense-Population Watershed Based on a Hybrid Dual-Subject Agent and Cellular Automaton Modeling Approach

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Engineering 2024年第6期37卷 182-195页

作者： Yutong Li Yanpeng Cai Qiang Fu Xiaodong Zhang Hang Wan Zhifeng Yang Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds Institute of Environmental and Ecological EngineeringGuangdong University of TechnologyGuangzhou 510006China School of Water Conservancy and Civil Engineering Northeast Agricultural UniversityHarbin 150030China School of Environmental Science and Engineering Shandong UniversityQingdao 266000China

land use/land cover represents the interactive and comprehensive influences between human activities and natural conditions,leading to potential conflicts among natural and human-related issues as well as among *** study introduced economic standards for farmers.A hybrid approach(CA-ABM)of cellular automaton(CA)and an agent-based model(ABM)was developed to effectively deal with social and land-use synergic issues to examine human–environment interactions and projections of land-use conversions for a humid basin in south *** attributes and socioeconomic data were used to analyze land use/land cover and its drivers of *** major modules of the CA-ABM are initialization,migration,assets,land suitability,and land-use change *** estimates of the factors influencing the urban land-use conversion probability were captured using parameters based on a spatial logistic regression(SLR)***,multicriteria evaluation(MCE)and Markov models were introduced to obtain empirical estimates of the factors affecting the probability of ecological land *** agent-based CA-SLR-MCE-Markov(ABCSMM)land-use conversion model was proposed to explore the impacts of policies on land-use *** model can reproduce observed land-use patterns and provide links for forest transition and urban expansion to land-use decisions and ecosystem *** results demonstrated land-use simulations under multi-policy scenarios,revealing the usefulness of the model for normative research on land-use management.

关键词： land use/land cover Human-environment interactions Agent-based model Cellular automaton

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Spatiotemporal detection of land use/land cover changes and land surface temperature using landsat and MODIS data across the coastal Kanyakumari district, India

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Geodesy and Geodynamics 2023年第2期14卷 172-181页

作者： S.Chrisben Sam Gurugnanam Balasubramanian Centre for Applied Geology The Gandhigram Rural Institute Deemed to Be UniversityDindigulTamil NaduIndia

This study assesses the changes in land use/land cover(LULC) and land surface temperature(LST) to identify their impacts from 2000 to 2020 along the coast of Kanyakumari district, India using remote sensing techniques. landsat images are used to estimate the LULC changes and the MODIS data for *** Maximum Likelihood Classification(MLC) method is used, and the LULC is classified into six categories: Agriculture land, Barren land, Salt Pan, Sandy Beach, Settlement, and Waterbody. Within the two decades of the present change detection study, upheave in the Settlement area of 49.89% is noticed, and the Agriculture land is exploited by 20.09%. Salt Pan emits a high LST of 31.57°C, and the Waterbodies are noticed with a low LST of 28.9°C. However, the overall rate of LST decreased by 0.56°C during this period. This study will help policymakers make appropriate planning and management to overcome the impact of LULC and LST in the forthcoming years.

关键词： land use/land cover land surface temperature landsat MODIS and remote sensing

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An exploratory analysis of usability of Flickr tags for land use/land cover attribution

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Geo-Spatial Information Science 2019年第1期22卷 12-22页

作者： Yingwei Yan Michael Schultz Alexander Zipf Institute of Geography Heidelberg UniversityHeidelbergGermany

This study explored the land use/land cover(LULC)separability by the machine-generated and user-generated Flickr photo tags(*** auto-tags and the user-tags,respectively),based on an authoritative LULC dataset for San Diego County in the United *** types of LULCs were derived from the authoritative *** was observed that certain types of the reclassified LULCs had abundant tags(*** parks)or a high tag density(*** commercial lands),compared with the less populated ones(*** agricultural lands).Certain highly weighted terms of the tags derived based on a term frequency–inverse document frequency weighting scheme were helpful for identifying specific types of the LULCs,especially for the commercial recreation lands(*** zoos).However,given the 10 sets of tags retrieved from the corresponding 10 types of LULCs,one set of tags(all the tags located at one specific type of the LULCs)could not fully delineate the corresponding LULC due to semantic overlaps,according to a latent semantic analysis.

关键词： land use/land cover Flickr quantitative semantics volunteered geographic information

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Assessment of ecological quality in Northwest China(2000-2020)using the Google Earth Engine platform:Climate factors and land use/land cover contribute to ecological quality

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Journal of Arid land 2022年第11期14卷 1196-1211页

作者： WANG Jinjie DING Jianli GE Xiangyu QIN Shaofeng ZHANG Zhe College of Geography and Remote Sensing Science Xinjiang UniversityUrumqi 800046China Xinjiang Key Laboratory of Oasis Ecology Xinjiang UniversityUrumqi 830046China Key Laboratory of Smart City and Environment Modelling of Higher Education Institute Xinjiang UniversityUrumqi 830046China

The ecological quality of inland areas is an important aspect of the United Nations Sustainable Development Goals(UN SDGs).The ecological environment of Northwest China is vulnerable to changes in climate and land use/land cover,and the changes in ecological quality in this arid region over the last two decades are not well *** makes it more difficult to advance the UN SDGs and develop appropriate measures at the regional *** this study,we used the Moderate Resolution Imaging Spectroradiometer(MODIS)products to generate remote sensing ecological index(RSEI)on the Google Earth Engine(GEE)platform to examine the relationship between ecological quality and environment in Xinjiang during the last two decades(from 2000 to 2020).We analyzed a 21-year time series of the trends and spatial characteristics of ecological *** further assessed the importance of different environmental factors affecting ecological quality through the random forest algorithm using data from statistical yearbooks and land use *** results show that the RSEI constructed using the GEE platform can accurately reflect the ecological quality information in Xinjiang because the contribution of the first principal component was higher than 90.00%.The ecological quality in Xinjiang has increased significantly over the last two decades,with the northern part of this region having a better ecological quality than the southern *** areas with slightly improved ecological quality accounted for 31.26%of the total land area of Xinjiang,whereas only 3.55%of the land area was classified as having a slightly worsen(3.16%)or worsen(0.39%)ecological *** vast majority of the deterioration in ecological quality mainly occurred in the barren areas Temperature,precipitation,closed shrublands,grasslands and savannas were the top five environmental factors affecting the changes in *** factors were allocated different weights for different RSEI *** genera

关键词： ecological quality land use/land cover spatiotemporal change remote sensing ecological index(RSEI) Google Earth Engine Xinjiang

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land use/land cover classification and its change detection using multi-temporal MODIS NDVI data

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Journal of Geographical Sciences 2015年第12期25卷 1479-1506页

作者： M USMAN R LIEDLI M A SHAHID A ABBAS Institute for Groundwater Management TU Dresden 01069 Dresden Germany University of Agriculture Faisalabad Pakistan Leibniz Centre for Agricultural landscape Research (ZALF) Eberswalder Str. 84 15374 Mencheberg Germany

Detailed analysis of land use/land cover （LULC） using remote sensing data in complex irrigated basins provides complete profile for better water resource management and planning. Using remote sensing data, this study provides detailed land use maps of the Lower Chenab Canal irrigated region of Pakistan from 2005 to 2012 for LULC change detection. Major crop types are demarcated by identifying temporal profiles of NDVI using MODIS 250 m × 250 m spatial resolution data. Wheat and rice are found to be major crops in rabi and kharif seasons, respectively. Accuracy assessment of prepared maps is performed using three dif- ferent techniques： error matrix approach, comparison with ancillary data and with previous study. Producer and user accuracies for each class are calculated along with kappa coeffi- cients （K）. The average overall accuracies for rabi and kharif are 82.83% and 78.21%, re- spectively. Producer and user accuracies for individual class range respectively between 72.5% to 77% and 70.1% to 84.3% for rabi and 76.6% to 90.2% and 72% to 84.7% for kharif. The K values range between 0.66 to 0.77 for rabi with average of 0.73, and from 0.69 to 0.74 with average of 0.71 for kharif. LULC change detection indicates that wheat and rice have less volatility of change in comparison with both rabi and kharif fodders. Transformation be- tween cotton and rice is less common due to their completely different cropping conditions. Results of spatial and temporal LULC distributions and their seasonal variations provide useful insights for establishing realistic LULC scenarios for hydrological studies.

关键词： land use/land cover remote sensing normalized difference vegetation index accuracy assessment change detection hydrological modeling

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Riparian habitat quality as an indicator of land use/land cover effects on riverine water quality

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Geography and Sustainability 2024年第1期5卷 135-143页

作者： Shijie Gu Siyue Li School of Environmental Ecology and Biological Engineering Key Laboratory for Green Chemical Process of Ministry of EducationHubei Key Laboratory of Novel Reactor and Green Chemical TechnologyWuhan Institute of TechnologyWuhan 430205China

Riparian land use/land cover(LULC)plays a crucial role in maintaining riverine water quality by altering the transport of pollutants and ***,establishing a direct relationship between water quality and LULC is challenging due to the multi-indicator nature of both *** quality encompasses a multitude of physical,chemical,and biological parameters,while LULC represents a diverse array of land use *** habitat quality(RHQ)serves as an indicator of ***,it remains to be seen whether RHQ can act as a proxy of LULC for assessing the impact of LULC on riverine water *** study examines the interplay between RHQ,LULC and water quality,and develops a comprehensive indicator to predict water *** measured several water quality parameters,including pH(potential of hydrogen),TN(total nitrogen),TP(total phosphorus),T_(water)(water temperature),DO(dissolved oxygen),and EC(electrical conductivity)of the Yue and Jinshui Rivers draining to the Han River during 2016,2017 and *** water quality index(WQI)was further *** is assessed by the InVEST(Integrated Valuation of Ecosystem Services and Tradeoffs)*** study found noticeable seasonal differences in water quality,with a higher WQI observed in the dry *** RHQ was strongly correlated with LULC *** positively correlated with WQI,and DO concentration and vegetation land were negatively correlated with T_(water),TN,TP,EC,cropland,and construction *** correlations were stronger in the rainy ***-dominated land,such as construction land and cropland,significantly contributed to water quality degradation,whereas vegetation promoted water *** models showed that the RHQ explained variations in WQI better than LULC *** study concludes that RHQ is a new and comprehensive indicator for predicting the dynamics of riverine water quality.

关键词： Water quality index land use/land cover Riparian habitat quality Drinking water source areas

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Spatiotemporal dynamics of land use/land cover(LULC)changes and its impact on land surface temperature:A case study in New Town Kolkata,eastern India

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Regional Sustainability 2024年第2期5卷 26-48页

作者： Bubun MAHATA Siba Sankar SAHU Archishman SARDAR Laxmikanta RANA Mukul MAITY Department of Geography Ravenshaw UniversityCuttack753003India Department of Geography Sri Krushna Chandra Gajapati(Autonomous)CollegeParalakhemundi761200India

Rapid urbanization creates complexity,results in dynamic changes in land and environment,and influences the land surface temperature(LST)in fast-developing *** this study,we examined the impact of land use/land cover(LULC)changes on LST and determined the intensity of urban heat island(UHI)in New Town Kolkata(a smart city),eastern India,from 1991 to 2021 at 10-a intervals using various series of landsat multi-spectral and thermal *** study used the maximum likelihood algorithm for image classification and other methods like the correlation analysis and hotspot analysis(Getis–Ord Gi^(*) method)to examine the impact of LULC changes on urban thermal *** study noticed that the area percentage of built-up land increased rapidly from 21.91%to 45.63%during 1991–2021,with a maximum positive change in built-up land and a maximum negative change in sparse *** mean temperature significantly increased during the study period(1991–2021),from 16.31℃to 22.48℃in winter,29.18℃to 34.61℃in summer,and 19.18℃to 27.11℃in *** result showed that impervious surfaces contribute to higher LST,whereas vegetation helps decrease *** ecological status has been found in built-up land,and excellent ecological status has been found in vegetation and water *** hot spot and cold spot areas shifted their locations every decade due to random LULC *** after New Town Kolkata became a smart city,high LST has been ***,this study indicated that urbanization and changes in LULC patterns can influence the urban thermal environment,and appropriate planning is needed to reduce *** study can help policy-makers create sustainable smart cities.

关键词： Urbanization land use/land cover (LULC)changes land surface temperature Urban heat island Hotspot analysis Smart city

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land use/land cover and Forest Canopy Density Monitoring of Wafi-Golpu Project Area, Papua New Guinea

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Journal of Geoscience and Environment Protection 2016年第8期4卷 1-14页

作者： Slady Akike Sailesh Samanta Wafi-Golpu Joint Venture Morobe Mining Lae Papua New Guinea GIS Section Department of Surveying and Land Studies The PNG University of Technology Private Mail Bag Lae Papua New Guinea

This study aims to examine the use of Remote Sensing and Geographical Information System (GIS) technology in land use/land cover mapping to aide sustainable planning and development in the Wafi-Golpu project area. At the same time, this study examines an existing method of Forest Canopy Density (FCD) model to estimate forest canopy density of the proposed deforestation site, which is known as the Advanced Exploration Feasibility Study Activities (AEFSA) area within the Wafi-Golpu Project site. The FCD model calculates the forest canopy density using the three (3) indices of vegetation, soil and shadow from the landsat-8 Operational land Imager (OLI) satellite image of year 2013. In this study an attempt has been made to monitor the forest loss or degradation during deforestation in a natural forest stand of the Wafi-Golpu project area using forest FCD mapping and monitoring model and the findings of the study will assist the project planners and developers with their work on forest rehabilitation and reforestation for the purposes of sustainable forest management. The result of the work shows that a considerable amount of forest loss will be undertaken during the AEFSA deforestation exercise and also the findings show that a reliable land use/land cover map will greatly assist sustainable development in a resource project development period.

关键词： Remote Sensing GIS FCD Model land use/land cover Forest land Management

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land use/land cover (LULC) Dynamics in a Semi-Arid Watershed in Eastern Rajasthan, India Using Geospatial Tools

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Journal of Geographic Information System 2022年第6期14卷 612-633页

作者： Munahzah Meraj Akram Javed Department of Geology Aligarh Muslim University Aligarh India

land use/land cover (LULC) change analysis has become a unique approach in determining the extent of degradation of natural resources within a given period of time. Remote sensing and GIS techniques have proved to be efficient tools for mapping and analyzing LULC changes over the last few decades. LULC change analysis has been carried out in Ruparel watershed which is situated in Alwar district, Eastern Rajasthan, India, based on visual image interpretation and change detection analysis of multi-temporal satellite data pertaining to IRS-P6 LISS III data of 2004 (Path-Row 95:52), IRS-P6 LISS III of 2014 (Path-Row 95:52) and IRS-R2A LISS III data of 2021. Visual image interpretation led to the delineation of 13 LULC classes using ArcGIS 10.5 software and include categories such as cultivated land, fallow land dense forest, open forest, degraded forest, open scrub, gullied/ravenous land, settlement/built-up land, River/waterbody, dry waterbody/dry river, plantation, barren/rocky/stony waste, and stone quarry. Results of the analysis depict significant LULC changes that have taken place in the area from 2004 to 2021. LULC categories such as cultivated land and settlement/built-up land have reported major changes in terms of their increase with 56.42 km2 (4.63%) and 31.9 km2 (2.63%) respectively primarily because of an increase in population. Likewise, the dense forest has reported a decrease of 33.78 km2 (2.78%) in its area and has been converted into degraded forest i.e., 32.04 km2 (2.64%) and open forest 2.85 km2 (0.24%) due to increased human exploitation of forest resources and mining activities taking place within the forested area. The study area needs the immediate attention of policymakers and stakeholders as the study area being part of the National Capital Region (NCR) will see excessive in-migration of the population in coming years which will further deplete the precious resources in the area.

关键词： land use/land cover Ruparel Watershed Change Detection Analysis Remote Sensing and GIS

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Seasonal variation of soil respiration under different land use/land cover in arid region

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Science China Earth Sciences 2007年第S1期 76-85页

作者： ZHANG LiHua1,2, CHEN YaNing1, LI WeiHong1 & ZHAO RuiFeng1,2 1 Key Laboratory of Oasis Ecology and Desert Environment, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, ürümqi 830011, China 2 Graduate University of Chinese Academy of Sciences, Beijing 100049, China

Through combining the soil respiration with the main environmental factors under the planting shelterbelt (Populus woodland) and the natural desert vegetation (Tamarix ramosissima+Phragmites communis community and Haloxylon ammodendron community) in the western Junngar Basin, the difference in soil respiration under different land use/land cover types and the responses of soil respiration to temperature and soil moisture were analyzed. Results showed that the rate of soil respiration increased with temperature. During the daytime, the maximum soil respiration rate occurred at 18:00 for the Populus woodland, 12:00 for T. ramosissima+Ph. communis community, and 14:00 for H. ammodendron community, while the minimum rate all occurred at 8:00. The soil respiration, with the maximum rate in June and July and then declining from August, exhibited a similar trend to the near-surface temperature from May to October. During the growing season, the mean soil respiration rates and seasonal variation differed among the land use/land cover types, and followed the order of Populus woodland >T. ramosissima+Ph. communis community > H. ammodendron community. The difference in the soil respiration rate among different land use/land cover types was significant. The soil respiration of Pouplus woodland was significantly correlated with the near-surface temperature and soil temperature at 10 cm depth (P land, T. ramosissima+Ph. communis community and H. ammodendron community were 1.48, 1.59 and 1.63, respectively. The integrated soil respiration of the three land use/land cover types showed a significant correlation with the soil moisture at 0―5 cm, 5― 15 cm and 0―15 cm depths (P < 0.01). The quadr

关键词： soil respiration diurnal variation seasonal variation land use/land cover temperature soil moisture

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