Analysis of the spatiotemporal evolution and driving factors of land use change in Jinan springs area of the Northern Karst region, China from 1986 to 2022

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Discover Applied Sciences

• Publication date

  2025-04-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1007/s42452-025-06668-0
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Sensitivity Analysis of Influencing Factors of Karst Tunnel Construction Based on Orthogonal Tests and a Random Forest Algorithm

  2024cited by this paper
• Characteristics of the spatio-temporal evolution of the improved integrated ecological effect index (IEEI) in mountainous province based on remote sensing: a case study in Yunnan province of southwest China

  2024cited by this paper
• Using Niche Model to Analyze Water Consumption Structure in Jinan City, Shandong

  2024cited by this paper
• Study on the characteristics and scenario simulation of land use change in the Chaohu Lake Basin, China

  2024cited by this paper
• Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation

  2024cited by this paper
• Myanmar’s Land Cover Change and Its Driving Factors during 2000–2020

  2023cited by this paper
• Analysis of land use change and its driving forces in Nanjing metropolitan area

  2023cited by this paper
• Rapid Land Cover Classification Using a 36-Year Time Series of Multi-Source Remote Sensing Data

  2023cited by this paper
• Determinants of land use conflicts with the method of cross-wavelet analysis: Role of natural resources and human activities in spatial-temporal evolution

  2023cited by this paper
• A Rapid Parallel Mosaicking Algorithm for Massive Remote Sensing Images Utilizing Read Filtering

  2023cited by this paper
• Distinct mechanisms shape prokaryotic community assembly across different land-use intensification.

  2023cited by this paper
• Urbanization-induced land use/land cover change and its impact on surface temperature and heat fluxes over two major cities in Western Ethiopia

  2023cited by this paper
• Ecosystem Services Response to the Grain-for-Green Program and Urban Development in a Typical Karstland of Southwest China over a 20-Year Period

  2023cited by this paper
• Waves in a forest: a random forest classifier to distinguish between gravitational waves and detector glitches

  2023cited by this paper
• Urbanisation of a growing tropical mega-city during the 21st century — Landscape transformation and vegetation dynamics

  2023cited by this paper
• Vegetation structural composition mapping of a complex landscape using forest cover density transformation and random decision forest classifier: a comparison

  2023cited by this paper
• LUCC-based analysis of ecosystem service value drivers in the South–North Water Transfer Central Line recharge area

  2023cited by this paper
• Spatiotemporal characteristics and prediction of carbon emissions/absorption from land use change in the urban agglomeration on the northern slope of the Tianshan Mountains

  2023cited by this paper
• Drought in Shanxi Province Based on Remote Sensing Drought Index Analysis of Spatial and Temporal Variation Characteristics

  2023cited by this paper
• Land Use/Cover Change, Fragmentation, and Driving Factors in Nepal in the Last 25 Years

  2023cited by this paper
• Spatial-Temporal and Driving Factors of Land Use/Cover Change in Mongolia from 1990 to 2021

  2023cited by this paper
• Construction and Optimization of Ecological Network Based on Landscape Ecological Risk Assessment: A Case Study in Jinan

  2023cited by this paper
• Spatiotemporal Differentiation of Land Ecological Security and Its Influencing Factors: A Case Study in Jinan, Shandong Province, China

  2022cited by this paper
• Analysis of Landscape Pattern Evolution and Driving Forces Based on Land-Use Changes: A Case Study of Yilong Lake Watershed on Yunnan-Guizhou Plateau

  2022cited by this paper
• Multiscale spatial analysis of headwater vulnerability in South-Central Chile reveals a high threat due to deforestation and climate change.

  2022cited by this paper
• Modelling the mpacts of land use/land cover changing pattern on urban thermal characteristics n Kuwait

  2022cited by this paper
• Evaluation of SAR and Optical Data for Flood Delineation Using Supervised and Unsupervised Classification

  2022cited by this paper
• Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series

  2022cited by this paper
• Characteristics of Changes in Urban Land Use and Efficiency Evaluation in the Qinghai–Tibet Plateau from 1990 to 2020

  2022cited by this paper
• Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages

  2022cited by this paper
• Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects

  2022cited by this paper
• Contributions of local LUCC spatially explicit scenarios for water management: Lessons learned from an ex-post evaluation

  2022cited by this paper
• Spatio-Temporal Evolution, Prediction and Optimization of LUCC Based on CA-Markov and InVEST Models: A Case Study of Mentougou District, Beijing

  2022cited by this paper
• Impact of LUCC on landscape pattern in the Yangtze River Basin during 2001-2019

  2022cited by this paper
• Land use classification of open-pit mine based on multi-scale segmentation and random forest model

  2022cited by this paper
• Identification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation

  2021cited by this paper
• NestNet: a multiscale convolutional neural network for remote sensing image change detection

  2021cited by this paper
• Principal component analysis of driving forces of land use structure change in Wuhan city

  2021cited by this paper
• k-relevance vectors: Considering relevancy beside nearness

  2021cited by this paper
• Land use optimization research based on FLUS model and ecosystem services–setting Jinan City as an example

  2021cited by this paper
• Integrating landscape ecology and the assessment of ecosystem services in the study of karst areas

  2021cited by this paper
• Jinan City Land Use Monitoring Based on Landsat data from 2009 to 2014

  2020cited by this paper
• Analysis of Combining SAR and Optical Optimal Parameters to Classify Typhoon-Invasion Lodged Rice: A Case Study Using the Random Forest Method

  2020cited by this paper
• Discriminating climate, land‐cover and random effects on species range dynamics

  2020cited by this paper
• Mapping the Essential Urban Land Use in Changchun by Applying Random Forest and Multi-Source Geospatial Data

  2020cited by this paper
• Evaluation of Driving Forces of Land Use and Land Cover Change in New England Area by a Mixed Method

  2020cited by this paper
• A holistic approach to groundwater protection and ecosystem services in karst terrains

  2019cited by this paper
• Land cover dynamic change in the Napahai Basin using the optimized random forest model

  2019cited by this paper
• Analysis of Land Use Change Based on Landsat 8

  2019cited by this paper
• A review of global-local-global linkages in economic land-use/cover change models

  2019cited by this paper
• A Regional Sustainable Intensive Land Use Evaluation Based on Ecological Constraints: A Case Study in Jinan City

  2019cited by this paper
• Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong

  2018cited by this paper
• Scenarios and story lines: drivers of land use change in southern Mexico

  2018cited by this paper
• Karst Development Mechanism and Characteristics Based on Comprehensive Exploration along Jinan Metro, China

  2018cited by this paper
• Landscape-based upstream-downstream prevalence of land-use/cover change drivers in southeastern rift escarpment of Ethiopia

  2018cited by this paper
• Multisource Earth Observation Data for Land-Cover Classification Using Random Forest

  2018cited by this paper
• A Review of Wetland Remote Sensing

  2017cited by this paper
• Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach.

  2017cited by this paper
• Urban landcover classification from multispectral image data using optimized AdaBoosted random forests

  2017cited by this paper
• Points of Significance: Classification and regression trees

  2017cited by this paper
• Bayes covariant multi-class classification

  2016cited by this paper
• An analysis of Landsat 7 and Landsat 8 underflight data and the implications for time series investigations

  2016cited by this paper
• Applying a weighted random forests method to extract karst sinkholes from LiDAR data

  2016cited by this paper
• Coordonner urbanisme et transports collectifs : un référentiel à l’épreuve de la ville « made in China »

  2015cited by this paper
• 北方岩溶区景观变化—以济南为例 Landscape Change of Karst Mountainous Region in North China—A Case of Jinan

  2014cited by this paper
• A new insight into land use classification based on aggregated mobile phone data

  2013cited by this paper
• Evaluating drivers of land-use change and transition potential models in a complex landscape in Southern Mexico

  2013cited by this paper
• Urbanization induced environmental hazards from breakage hills in the karst geological region of Jinan City, China

  2011cited by this paper
• Prediction model building with clustering-launched classification and support vector machines in credit scoring

  2009cited by this paper
• Analysis and Modeling on the Spatial Structure of Urban Land Use: A Case of Jinan, China

  2007cited by this paper
• Full regularization path for sparse principal component analysis

  2007cited by this paper
• Random Forests for land cover classification

  2006cited by this paper
• Hybrid maps: Updating Mexico's forest cartography using landsat tm imagery and land use information

  1996cited by this paper
• Vegetation maps, mapping needs and scope of digital processing of Landsat Thematic Mapper data in tropical region of south-west India

  1992cited by this paper

• Spatio-temporal land-use dynamics and landscape ecological risk assessment in an artificial oasis, Northwestern China

  2025cites this paper