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Land use and cover change detection and modelling for North Ningxia, China1

Weicheng Wu*+,Eric F. Lambin* and Marie-Françoise Courel+
+Department of Geography, University of Louvain,
Place Louis Pasteur, 3 1348 Louvain-la-Neuve, Belgium
*PRODIG-UMR8586/CNRS, 191 Rue St-Jacques, 75005 Paris, France
E-mail of the corresponding author: wuwc@univ-paris1.fr



Introduction
North Ningxia, extending from longitude 105°45'E to 107°00'E and latitude 38°20'N to 39°30'N, including 50% of the Helan Mountains and 80% of the Yinchuan Plain and surrounded by Inner Mongolia on the east, north and west (figure 1), is an arid and semi-arid region in Northwest China. The annual precipitation ranges from 78 to 295mm (the maximum, 430 mm, appears in the Helan Mts), annual evaporation from 1473 to 2318mm and annual average temperature from 8.2°C to 9.6°C in the recent decades (Ningxia Statistical Yearbook, 1988, 1990, 1992, 1997 and 2000). The analysis on meteorological data in the past half century indicates that the annual temperature has been increasing and precipitation decreasing in Yinchuan region. It is probably a local indicator of the global warming. The climate has been getting dryer and warmer and the natural conditions more and more difficult.

Land use, especially, in agriculture, has a long history in this region. As early as 35,000 to 25,000 years B.P., people already begun their activities (Geng et al, 1992). In the dynasty Qin (221 to 207 B.C.), the first irrigation canal came into existence. This signalled the launch of an agricultural era in the Yinchuan Plain. In the successive dynasties Han (206 B.C to 220 A.D.) and Tang (618 to 907 A.D.), the irrigation system was further developed and improved. But due to the frequent wars and large scale of emigrations in history (Geng et al, 1992), it did not have a stable development until recent decades. With the execution of the 'reform-and-open' policy in 1980s in China, land use and cover change has taken place rapidly owing to the agricultural, industrial developments and population growth. Recently, with more and more development programmes of the Chinese central government focused on Northwest China, North Ningxia becomes one of the hotspots. It is therefore of first importance to undertake a synthetic land use and cover investigation, change rate measurement, driving force analysis and develop a dynamic monitoring system in order to generate fundamental land use data, a management prototype and some useful references for the local governments in their sustainable land use planning and decision making. It is the objective of the research and one of the tasks scheduled in the Sino-Belgian co-operation project on Northwest China.

In correspondence to the implementation of the new land use policy in 1980s in China, the period from late-1980s to late-1990s was chosen to conduct a land use and cover change detection, monitoring and modelling utilising the multi-temporal remotely sensed data (Landsat TM dated 1987, 1989 and ETM 1999) and county-level socio-economic and meteorological data.

Methodology
A multidimensional synthetic method from space to ground and from human activities to environmental changes was applied in this research.

  1. Changes observed from space
    Since the macroscopic and multi-temporal observation advantages, remotely sensed data are undoubtedly the most ideal data for extracting the land cover change information. There exist mainly two approaches to realise this procedure. The traditional one is the post-classification comparison, aiming to find out the difference between the classified images of two different dates (Weismiller et al.1977, Gorden,1980, Singh, 1989). Some authors, however, proposed to perform this detection by image differencing (Jensen et al. 1982, Quarmby et al. 1989, Singh 1989 and

    Lambin 1994, 1997). The latter has been followed to produce the general change maps in our study. Complemented with visual comparison, the detailed county-level land use changes were distinguished. The procedures adopted in this change detection are shown as follows:


    Figure.1:Location map of the study area, North Ningxia


    • Image-to-image registration of the remote sensing data (TM1987, 1989 and ETM1999) with a RMS error of 0.53 and 0.58 pixel using polynomial function (third model) and bilinear re-sampling by the topographic maps on a scale of 1/200,000 to 1/300,000 geocoded in the datum WGS84 and projection UTM (48).
    • Tasseled Cap transformation (Crist et al. 1984) on the ETM and TM images to convert the land cover information included in 7 bands into 3 indicators: brightness, greenness and wetness, which respectively means the land bareness, vegetation vigor and soil moisture.
    • Indicator differencing (e.g., greenness or brightness) between 1999 and 1987 or 1989.
    • Thresholding to acquire the changed areas and produce the general change maps which contain three classes: negative change, no change and positive change. For example, as to the greenness indicator, 'negative change' means vegetation degradation and 'positive change' vegetation increase.
    • Visual comparison to identify the change types (e.g., farmland extension, urban extension, land degradation, land to water depression, etc.) and create a detailed county-level land use and cover change map.
    • Quantification of the county-level land cover changes.

  2. Exploration on the mechanism from human activity to environmental changes
    A panel analysis (Lambin, 1994) conducted by a multivariate linear regression modelling was carried on to find out the land use and cover change driving forces and its decisive factors by linking the change detection results with the corresponding changes in human socio-economic and meteorological data.
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1.This paper is a part of the outcomes of the Sino-Belgian cooperation project on Northwest China in the University of Louvain, B1348, Belgium. The research was funded by the OSTC of the Belgian government under contract BL/10/C15.
2.The dataset of Landsat TM image (129/33, Sept.20, 1987) belongs to the data archive of Fukui Research Group, Keio University, Japan. We use it with their permission.


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