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Content Provider | IEEE Xplore Digital Library |
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Author | Fuping Tang Manchun Li Feixue Li |
Copyright Year | 2010 |
Description | Author affiliation: School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China (Fuping Tang; Manchun Li; Feixue Li) |
Abstract | The landscape in Xinbei district of Changzhou was mapped based on planning land use classification by interpreting remote sensing images. Patch numbers, patch area, variation coefficient, shape index, fractal dimension index, Shannon's diversity index and Shannon's evenness index were selected to analyze landscape pattern in terms of structure, shape and diversity of the landscape. The result showed that cultivated land is largest land use type, covering 49.87% of total study area; thus, being the landscape matrix. Waters and waste land were most complicated in shape, while urban land is the simplest, showing the obvious diversity of the study area. Chunjiang town had the largest landscape diversity; however, Hehai Street had the least. Two kinds of distribution were made according to two secondary land use types. Based on various levels of land protection, study area was classified into 4 categories for land use ecological protection evaluation: strict, middle, moderate and mild. Based on different land use types, study area was divided into 4 categories for land use suitability evaluation of development: priority, moderate, controlled and unsuitable. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 1776470 |
Page Count | 5 |
File Format | |
ISBN | 9781424473014 |
e-ISBN | 9781424473038 |
DOI | 10.1109/GEOINFORMATICS.2010.5567788 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-06-18 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Comprehensive land use planning Shape Planning land use classification Geology Distribution Cities and towns Landscape pattern Planning Rivers Indexes Construction industry |
Content Type | Text |
Resource Type | Article |
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