Abstract
Abstract. Land use and cover change is a leading edge topic in the current research field of global environmental changes and case study of typical areas is an important approach understanding global environmental changes. Taking the Qiantang River (Zhejiang, China) as an example, this study explores automatic classification of land use using remote sensing technology and analyzes historical space–time change by remote sensing monitoring. This study combines spectral angle mapping (SAM) with multi-source information and creates a convenient and efficient high-precision land use computer automatic classification method which meets the application requirements and is suitable for complex landform of the studied area. This work analyzes the histological space–time characteristics of land use and cover change in the Qiantang River basin in 2001, 2007 and 2014, in order to (i) verify the feasibility of studying land use change with remote sensing technology, (ii) accurately understand the change of land use and cover as well as historical space–time evolution trend, (iii) provide a realistic basis for the sustainable development of the Qiantang River basin and (iv) provide a strong information support and new research method for optimizing the Qiantang River land use structure and achieving optimal allocation of land resources and scientific management.
Highlights
Land use refers to all purposeful human land development and use activities; different types of land include agricultural land, forestry land, industrial land, land for transportation and residential land (Ochoa et al, 2016; Muñoz-Rojas et al, 2015)
The area of paddy field and dry land is reduced, while forest land, water area and building land increase from 2001 to 2014; building land changes the fastest while forest land changes the slowest. It can be seen from dynamic degree index of comprehensive land use and cover in Table 1 that from 2001 to 2014 the most changes occurred on dry land, followed by building land and paddy field and lastly forest land
It has been known to all that the change of economy and population is testing the bearing capacity of natural biological environment, and biological damage and resource exhaustion will occur if the bearing capacity is exceeded
Summary
Land use refers to all purposeful human land development and use activities; different types of land include agricultural land, forestry land, industrial land, land for transportation and residential land (Ochoa et al, 2016; Muñoz-Rojas et al, 2015). Land use is closely related to land cover, in which the former occurs on the surface of the Earth and the latter is the product of various surface processes including land use (Verburg et al, 2014). El-Kawy et al (2011) analyzed the categories of land use and cover using satellite images, which provided a theoretical basis for a land management scheme proposal. With the development of science and technology nowadays, we are able to acquire Earth observation remote sensing data and the understanding of the Earth surface can evolve to a new stage, providing a more powerful and convenient way of acquiring land use and land cover information. Land use and land cover mapping has gained the widest application in the satellite Earth observation field (Gessesse et al, 2015). The methods for studying remote sensing data mainly include the static remote sensing image analysis method and dynamic remote sensing image analysis method
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