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A method to derive products for a sustainable management of the land surface is developed in the frame of the M4Land project (“Model based, Multi-temporal, Multi-scale and Multi-sensoral retrieval of continuous land management information”). The system relies on a model-supervised dynamic classification of land cover from multi-temporal satellite data that works automatically without the need for...
In recent years, the land and housing prices continue to rise, and has become an important livelihood issue of social concern and the focal point of government's macro-control. Almost all the media and public will blame the excessive growth of house prices on the supply of real estate. Besides, there are sudden huge profits in real estate. However, the increasing price of land is the main reason of...
This paper summarizes the National Land Use Change Detection Program, the present situation in remote sensing techniques and applications for land management in China. Special attention is given to the recent results that have been achieved in remote sensing applications, such as land use database updating, verification of land use planning, etc. The paper also touches upon the future trends of developing...
Cellular automata (CA) has been increasingly used to simulate complex urban system, but urban land price is usually not considered in the simulation. This research selected Shijiazhuang city as study area and established city scale expansion model under restriction of land price. Through geometric correction, band combination and unsupervised classification of Landsar TM data using ERDAS 8.7 software,...
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