%0 Journal Article
%T Study on Remote Sensing Model for Fragile Zones of Land Ecosystem, China<br>中国陆地生态系统脆弱带遥感模型
%A Buheaosier
%A MA Jian-wen
%A HAN Xiu-zhen
%A MA Chao-fei
%A <br>布和敖斯尔
%A 马建文
%A 韩秀珍
%A 马超飞
%J 遥感学报
%D 2002
%I 
%X In this study, three test sites with the same longitude have been selected from south to north in wetland area(the monsoon region) of Eastern China. Five test sites with the same latitude have been selected in arid or semi-arid area of North Western China(the Non-monsoon region). Production of 24J month time series of one month maximum NDVI composites have been accomplished based on NOAA AVHRR and Landsat-TM data. Average temperature, precipitation and wind-speed data in each average of the month to be synchronous have also been input into computer for analyzing the dynamically correlated model of driving forces of land cover Changes Conclusions have been drawn that land- cover change in China has distinct seasonal fragileness in each test site and their relationship has been found. In the study, we draw the following conclusions: (1)Vegetation is the connection of soil, atmosphere and precipitation.When using vegetation as an indicator of land cover change, not only seasonal but also spatial change has been found in the land cover change. In addition, some unstable phase has also been identified. We conclude that the unstable phase in land cover was related to the seasonal and longitudinal change. (2)The zone and coastal plain of east of China belong to East Asian Monsoon.The climate is rather wet. The correlation between NDVI and temperature is obvious. But the correlation between NDVI and precipitation is not so good. Therefore, we conclude that in a region of high precipitation, temperature is the key affecting factor for growth of vegetation. (3)In northwestern China, the Big Xingan Mountain forest area, the typical grassland area and arid desert area almost lie on the same latitude. From east to west, the land cover types are forest, forest grassland, typical grassland, desertgrassland and arid desert. In the line, as the distance from coastal line increase, the monthly average NDVI value depends largely on precipitation. Thus, compared with temperature, precipitation is the key affecting factor for vegetation growth in arid area. (4)From south to north, under the limitation of temperature, the deviation of averages NDVI is not obvious. However, the seasonal deviation is high. From east to west, under the limitation of precipitation, the regional deviation of NDVI coincide with the productivity of vegetation. It implies that temperature affect the budding, flowering, fruiting of vegetation. On the other hand, precipitation affects the productivity of vegetation. (5)Wind is one of the driving forces causing desertification in dry and semi dry region. The period of lasting of strong wind seems to be coincident with the degradation of vegetation for each test sites. In contrast, when the cover of vegetation was at maximum, wind speed was found to be minimum, because of the inverse relationship between wind speed and NDVI , desertification and land degradation happen in the grassland and cultivated land in northern China. Some researches show t
%K vegetation index
%K fragile zones of land ecosystem
%K remote sensed model<br>中国
%K 陆地生态系统
%K 植被指数
%K 生态脆弱性
%K 经度
%K 遥感模型
%K 月平均气温
%K 土地覆盖
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=DEC63498F14E4CB2&yid=C3ACC247184A22C1&vid=B31275AF3241DB2D&iid=38B194292C032A66&sid=D2742EEE6F4DF8FE&eid=8B59EA573021D671&journal_id=1007-4619&journal_name=遥感学报&referenced_num=4&reference_num=8