Study on Remote Sensing Model for Fragile Zones of Land Ecosystem, China[J]. Journal of Remote Sensing, 2002, (3): 212-222. DOI: 10.11834/jrs.20020310.
Study on Remote Sensing Model for Fragile Zones of Land Ecosystem, China
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 that desertification and land degradation happened on winter and spring