scholarly journals Monitoring the changes in land use and landscape pattern in recent 20 years: A case study in Wuhan, China

2021 ◽  
Vol 272 ◽  
pp. 01022
Author(s):  
Yuwei Wang ◽  
Kaicheng Wu ◽  
Wang Gao

Based on the land use data of 2000, 2010 and 2020, using GIS technology along with landscape ecology methods, this paper monitored the changes in land use and landscape pattern in Wuhan. The findings are as follows: (1) the main features of land use change in Wuhan were the expansion of urban area and the decline of cropland, forest, wetland and water in recent 20 years; (2) forest, wetland and water kept a transfer-out trend while urban kept a transfer-in trend; (3) the fragmentation degree of forest, grassland and urban landscapes decreased from 2000 to 2020; (4) the patch shapes of almost all landscapes tended to be more regular under the human interventions. It is thereby worth reducing the interference intensity of human activities on landscape pattern in the process of urban growth.

2012 ◽  
Vol 17 (2) ◽  
pp. 174-179 ◽  
Author(s):  
Chuanyan ZHOU ◽  
Xun CHEN ◽  
Xiaoling LIU ◽  
Weiquan ZHAO ◽  
Kun LI ◽  
...  

2021 ◽  
Vol 13 (2) ◽  
pp. 748
Author(s):  
Iana Rufino ◽  
Slobodan Djordjević ◽  
Higor Costa de Brito ◽  
Priscila Barros Ramalho Alves

The northeastern Brazilian region has been vulnerable to hydrometeorological extremes, especially droughts, for centuries. A combination of natural climate variability (most of the area is semi-arid) and water governance problems increases extreme events’ impacts, especially in urban areas. Spatial analysis and visualisation of possible land-use change (LUC) zones and trends (urban growth vectors) can be useful for planning actions or decision-making policies for sustainable development. The Global Human Settlement Layer (GHSL) produces global spatial information, evidence-based analytics, and knowledge describing Earth’s human presence. In this work, the GHSL built-up grids for selected Brazilian cities were used to generate urban models using GIS (geographic information system) technologies and cellular automata for spatial pattern simulations of urban growth. In this work, six Brazilian cities were selected to generate urban models using GIS technologies and cellular automata for spatial pattern simulations of urban sprawl. The main goal was to provide predictive scenarios for water management (including simulations) and urban planning in a region highly susceptible to extreme hazards, such as floods and droughts. The northeastern Brazilian cities’ analysis raises more significant challenges because of the lack of land-use change field data. Findings and conclusions show the potential of dynamic modelling to predict scenarios and support water sensitive urban planning, increasing cities’ coping capacity for extreme hazards.


2014 ◽  
Vol 641-642 ◽  
pp. 514-518
Author(s):  
Hai Hong Song ◽  
Yun Feng Tan

This article analyzes the general characteristics and its causes of the landscape pattern of land use, taking the Tuanjie town of DaoWai district in Harbin as an example. Using GIS and Fragstats software to calculate a series of landscape index, the data show that Tuanjie town is given priority to with agriculture landscape, and the landscape patch connectivity is stronger; the overall landscape patch shape is complex, showing the human activities interfere significantly; and each patch type concentration and fragmentation is quite different. Therefore, based on the use of their own advantages, put forward reasonable suggestions to the landscape optimization of Tuanjie town land use.


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