ArticleScientific reports2019
Intensity and Stationarity Analysis of Land Use Change Based on CART Algorithm.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Modelling bush encroachment dynamics using Intensity Analysis and the Cellular Automata model.Environmental monitoring and assessment · 2025Article
- Investigating metropolitan change through mathematical morphology and a dynamic factor analysis of structural and functional land-use indicators.Scientific reports · 2023Article
- Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis.TheScientificWorldJournal · 2022Article
- Landscape change patterns at three stages of the construction and operation of the TGP.Scientific reports · 2021Article
- Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas.International journal of environmental research and public health · 2020Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Land use directly reflects degree of human development and utilization of land. Intensity analysis of land use is a quantitative method to analyze land use changes. In this paper, land use changes in Tianjin were studied using Thematic Mapper (TM) remote sensing images in 1995, 2000, 2005, 2010 and Operational Land Imager (OLI) remote sensing image in 2015. Land use information was extracted using decision tree classification method based on CART (Classification and Regression Trees) algorithm. This paper introduced land use intensity analysis to analyze its change intensity and stationarity, respectively at interval, category and transition levels. Based on the theory, new models were developed in the transition level to analyze land use change pattern. The analysis quantifies the contribution of a certain land categories to land use change during a specific time interval. The change of land use during 1995-2015 indicated that Tianjin experienced rapid urban development with the area of urban land increased by about 7.5%. This study provided a reference for the sustainable development of land use in Tianjin.
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Registered trials
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