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  • ACRS 1999


    Poster Session 4

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    Desertification Monitoring and Estimation in China from AVHRR Data

    Long Jing
    Desertification Monitoring Centre
    Academy of Forest Inventory & Planning,
    18 Hepinglidongjie, Beijing 100714, P.R.China
    E-Mail:lushilei@public3.bta.net.cn

    Abstract
    This paper discusses a method for desertification monitoring and estimation. Vegetation Index (VI) and Temperature Index (TI) can be get from AVHRR data. They are utilized for recognizing the features of desertification in China. Estimation indicators of desertification are abstracted from them.

    Introduction
    Desertification is one of the main global environmental problems. It has resulted in deteriorating environment and poor econemy , and imposed threat to the surviving environment of the overall mankind. Its damages have been found in one sixth of the global population and two third of the countries/regions in the world with an annual direct economic loss up to US$ 42.3 billion. This fact has called for international communities pay wide concerns and closed attention to desertification problem. To combat desertification and protect ecological environment of the earth have become the common action of mankind.

    China is one of countries that are affected by desertification with serious adverse impact. One third of national terrestrial land is threatened by desertification. It is important especially for protecting natural resource and sustainable development in China to combat desertification.

    According to the definition in UN convention to Combat Desertification, "Desertification" means land degradation in arid, semi-arid and dry sub-humid areas resulting from various factors, including climatic variation and human activities [1]. Land desertification is in macro scale and dynamic process. It is a significant task to monitor desertification status and dynamic changes timely and efficiently, to provide evidence for executives and planning sectors to assist them in making macro-decisions for combating desertification. This paper examines the approaches of desertification monitoring and estimation based on remotely sensed data in macro-scale.

    Stydy Area and Object
    The arid, semi-arid and dry sub-humid areas in China, classified by moisture index in 1981- 1990 (see following table) are the areas for this study, they are mainly distributed in 11 provinces/autonomous regions in northern and western China (Fig.1). Classification of desertification patterns are divided into following patterns according to the major external movement forces to cause desertification process
    • Desertification caused by wind erosion and eolian process;
    • Desertification caused by water erosion and alluvial process
    • Desertification caused by frozen and melting process at cold plateau;
    • Desertification caused by soil salinization/alkilization and waterlogging;
    • Desertification caused by other interacted factors (resultant factors).

    Figure 1 Climate types of desertification

    According to the severity of desertification, each pattern above is divided into slight, medium and severe grading classes. The wind erosion desertification whose area is largest and damage is most

    obvious in China, is objective for this study. Surface vegetation and temperature informations were abstracted from NOAA/AVHRR data (provided by EROS Data Centre of USA, helped by Mr. Zhu Zhiliang ). The parameters of remotely sensed data for desertification classes were drawn, and grading indicators of the severity of desertification were determined based on the ground survey data.

    Indicators of climate types classification[2]

    Climate Types Moisture Index(MI)
    Extreme arid area MI < 0.05
    Arid area 0.05 ³ MI < 0.20
    Semi-arid area 0.20 ³ MI < 0.50
    Dry sub-humid area 0.50 ³ MI < 0.65
    Humid area MI £ 0.65

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