Analysis of land use change in Xi’an based on GIS and RS
نویسندگان
چکیده
منابع مشابه
Trend in Land Use/Land Cover Change Detection by RS and GIS Application
The study aims to effects of Land Use / Land Cover Changes (LU/LCC) is the quantitative method, to expound the impact of land use/land cover changes in Manimuktha sub-watershed of Vellar basin, Tamilnadu, India. The relationship between Land Use Changes and its trend is analysed using IRS IC LISS III and PAN merged data. Further, the preparation of LU/LC map using Survey of India (SOI) Toposhee...
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South Carolina is the nation's second largest coastal resort state in terms of beach destination trips, superseded only by Florida. Its coastal resources and tourism industry are now undergoing tremendous coastal change due to tourism development and associated commercial and residential growth. As the negative elements of coastal change draw more public attention, and sustainable development b...
متن کاملMONITORING LAND USE CHANGE: Use of Remote Sensing and GIS
Land Use patterns reflect the nature of economic activity as well as natural resources of a country. The evaluation and assessment of land uses leads to diagnose the patterns of resources of a country which can further be developed in order to gain and maintain self sufficiency in the resources needed for human and economic development. The monitoring of land use change is highly difficult and ...
متن کاملcomparative analysis of the use of hedges & emphatics in english and persian academic research articles of sociology & psychology
چکیده ندارد.
15 صفحه اولDetection and Prediction of Land Use Change in Beijing Based on Remote Sensing and Gis
With the development of global changes, researchers from all over the world attach attention to land use changes increasingly, and large scale land use changes which have resulted from urban expansion catch people’s eyes. In this paper, urban expansion and their spatial and temporal variability of the Beijing city has been studied over a period of 21 years (1984–2005) via statistical classifica...
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ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2020
ISSN: 1755-1315
DOI: 10.1088/1755-1315/619/1/012071