基于决策树算法的土地利用变化强度和稳定性分析。

Intensity and Stationarity Analysis of Land Use Change Based on CART Algorithm.

机构信息

School of Geology and Geomatics, Tianjin Chengjian University, Tianjin, 300384, China.

State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China.

出版信息

Sci Rep. 2019 Aug 22;9(1):12279. doi: 10.1038/s41598-019-48586-3.

DOI:10.1038/s41598-019-48586-3

PMID:31439907

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6706412/

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.

摘要

土地利用直接反映了人类对土地的开发利用程度。土地利用强度分析是分析土地利用变化的一种定量方法。本文利用 1995 年、2000 年、2005 年、2010 年 TM 遥感影像和 2015 年 OLI 遥感影像，对天津市土地利用变化进行了研究。利用基于 CART（分类和回归树）算法的决策树分类方法提取土地利用信息。本文引入土地利用强度分析，分别在时段、类别和转换水平上分析其变化强度和稳定性。基于该理论，在转换水平上开发了新模型，以分析土地利用变化模式。该分析量化了特定时间段内特定土地类别对土地利用变化的贡献。1995 年至 2015 年土地利用的变化表明，天津经历了快速的城市发展，城市土地面积增加了约 7.5%。本研究为天津市土地利用的可持续发展提供了参考。