国产高分遥感数据估算草地NPP

doi:10.12068/j.issn.1005-3026.2016.10.018

东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (10): 1450-1454.DOI: 10.12068/j.issn.1005-3026.2016.10.018

国产高分遥感数据估算草地NPP

包妮沙¹，吴立新^1,2，叶宝莹³，赵菲菲¹

(1. 东北大学资源与土木工程学院，辽宁沈阳110819； 2. 中国矿业大学环境与测绘学院，江苏徐州221116； 3. 中国地质大学(北京) 地质调查院，北京100083)

收稿日期:2015-06-20 修回日期:2015-06-20 出版日期:2016-10-15 发布日期:2016-10-14
通讯作者: 包妮沙
作者简介:包妮沙(1985-)，女，内蒙古呼伦贝尔人，东北大学副教授，博士; 吴立新(1966-)，男，江西宜春人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金青年基金资助项目(41401233)；中央高校基本科研业务费专项资金资助项目(N120801001).

Estimating Net Primary Productivity Using Chinese GF-1 Remote Sensing Data for Regional Grassland

BAO Ni-sha¹， WU Li-xin²， YE Bao-ying³， ZHAO Fei-fei¹

1. School of Resources & Civil Engineering， Northeastern University， Shenyang 110819， China； 2. School of Environment Science and Spatial Informatics， China University of Mining and Technology， Xuzhou 221116， China； 3. Institute of Geological Survey， China University of Geosciences

Received:2015-06-20 Revised:2015-06-20 Online:2016-10-15 Published:2016-10-14
Contact: BAO Ni-sha
About author:-
Supported by:
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摘要/Abstract

摘要： 利用国产卫星高分一号卫星数据评估其植被第一生产力(NPP)的潜力，对植被指数取值范围、光能利用率、水分指数等参数进行修订，建立适合高分卫星数据的光能利用率模型，反演小尺度草地生态系统的生产力，利用野外观测数据对反演结果进行验证.模型模拟的数值与实测值的拟合度达到0.94，均方差为20.59gC/(m²·a)，并进一步将该结果与该区域同类型研究进行类比分析.结果表明，该模型对小尺度草地NPP估算可行，减少了工作量，为国产高分数据进行草地NPP、尤其煤矿区草地环境的监测提供了可行的技术方法，从而推动国产卫星在该地区的应用.

关键词: 国产高分卫星, 植被第一生产力, 干旱半干旱草地, 煤矿区, 光能利用率模型

Abstract: The ability of net primary production (NPP) was estimated by using the Chinese GF-1 remote sensing data. The specified land surface parameters such as vegetation indices， light efficiency and water indices were modified to establish Carnegie-Ames-Stanford approach (CASA) model for NPP modeling by using the Chinese GF-1 satellite data. The field observation data was used to valid the accuracy of simulated NPP from CASA model. There is a good correlation between the simulated NPP and field observed NPP with correlation coefficient of 0.94， and RMSE is 20.59gC/(m²·a). Furthermore， the NPP results were compared with similar study over semi-arid grassland zone. The results showed that the CASA model performs well at regional scale grassland monitoring. The Chinese satellite data has potential to be further applied on the semi-arid grassland， particular on coal mine environment monitoring over this region.

Key words: Chinese GF-1 satellite data, NPP (net primary productivity), semi-arid grassland, coal mine area； CASA model

中图分类号:

包妮沙，吴立新，叶宝莹，赵菲菲. 国产高分遥感数据估算草地NPP[J]. 东北大学学报:自然科学版, 2016, 37(10): 1450-1454.

BAO Ni-sha， WU Li-xin， YE Bao-ying， ZHAO Fei-fei. Estimating Net Primary Productivity Using Chinese GF-1 Remote Sensing Data for Regional Grassland[J]. Journal of Northeastern University Natural Science, 2016, 37(10): 1450-1454.

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国产高分遥感数据估算草地NPP

Estimating Net Primary Productivity Using Chinese GF-1 Remote Sensing Data for Regional Grassland

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