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首页> 外文会议>International symposium on multispectral image processing and pattern recognition >NPP ESTIMATION AND SEASONAL CHANGE RESEARCH OF GANSU PROVINCE IN NORTHWEST CHINA
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NPP ESTIMATION AND SEASONAL CHANGE RESEARCH OF GANSU PROVINCE IN NORTHWEST CHINA

机译：西北地区甘肃省NPP估算和季节变化研究

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Based on GIS and remote sensing technology, this paper estimates the NPP of the 2015 year-round and every season of Gansu province in northwest China by using the CASA(Camegie Ames Stanford Approach) light energy utilization model. The result shows that the total annual NPP of Gansu province gradually decline from southeast to northwest in the space, which is in accordance with the water and heat condition in Gansu province. The results show that the summer NPP in Gansu Province is the maximum in each season. The maximum value of summer NPP in Gansu Province reached 695 (gCm-2·season-l), and the maximum value was 473 in spring, and 288 in the autumn, and the NPP in the winter in Gansu province were under 60. The fluctuation range of NPP value is large, this is due to the diversity of ecosystem types in Gansu province, including desert, grassland, farmland and forest, among them, the grassland area is the largest, and the grassland type is very diverse, the grassland coverage is obviously different, especially the low coverage grassland growth is affected by precipitation and temperature and other meteorological factors obviously.
机译：本文基于GIS和遥感技术，运用CASA（Camegie Ames Stanford方法）光能利用模型估算了西北地区甘肃省2015年全年和每个季节的NPP。结果表明，甘肃省的年NPP总量在空间上从东南向西北逐渐减小，这与甘肃省的水热条件相吻合。结果表明，甘肃省夏季NPP最高。甘肃省夏季NPP的最大值达到695（gCm-2·season-1），春季最大值为473，秋季最大值为288，冬季的NPP小于60。 NPP值的波动范围较大，这是由于甘肃省的生态系统类型多样，包括沙漠，草地，农田和森林，其中，草地面积最大，草地类型非常多样，草地覆盖率明显不同，特别是低覆盖率草地的生长受到降水，温度等气象因素的明显影响。

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