基于MODIS SWIR数据的干旱区草地地上生物量反演及时空变化研究
发布时间：2018-07-16 09:11
【摘要】：基于古浪县MODIS遥感资料和地面实测样方数据,筛选出干旱区草地地上生物量的敏感指数,构建了该区草地地上生物量反演模型,并对2000~2014年试验区草地产量的时空动态进行了分析。结果表明:基于NDTI指数的草地地上生物量反演模型预测精度较高,可用于大范围干旱区草地地上生物量的快速监测。2000~2014年古浪县生长季最大草地地上生物量空间分布差异明显,由南向北生物量逐渐降低。15a间温性草原化荒漠和温性荒漠地上生物量呈极显著增加趋势。各草地类型生物量峰值出现在7~8月份,不同草地类型间存在差异。研究结果可为干旱区草地资源和生态环境的动态监测和评价提供科学基础。
[Abstract]:Based on MODIS remote sensing data of Gulang County and surface measured sample data, the sensitive index of aboveground biomass of grassland in arid area was selected, and the inversion model of aboveground biomass of grassland in this area was constructed. The temporal and spatial dynamics of grassland yield from 2000 to 2014 were analyzed. The results showed that the inversion model of aboveground biomass of grassland based on NDTI index had higher prediction accuracy, and could be used for rapid monitoring of aboveground biomass of grassland in a wide range of arid areas. The spatial distribution of the largest aboveground biomass of grassland in the growing season of Gulang County from 2000 to 2014 was significantly different. The aboveground biomass of temperate steppe desert and temperate desert gradually decreased from south to north. The peak biomass of different grassland types appeared in July and August, and there were differences among different grassland types. The results can provide a scientific basis for dynamic monitoring and evaluation of grassland resources and ecological environment in arid areas.
【作者单位】： 甘肃省水土保持科学研究所;
【基金】：甘肃省自然科学基金项目(1506RJZA176) 甘肃省科技支撑计划项目(1504FKCA047)资助
【分类号】：S812
本文编号：2125919
[Abstract]:Based on MODIS remote sensing data of Gulang County and surface measured sample data, the sensitive index of aboveground biomass of grassland in arid area was selected, and the inversion model of aboveground biomass of grassland in this area was constructed. The temporal and spatial dynamics of grassland yield from 2000 to 2014 were analyzed. The results showed that the inversion model of aboveground biomass of grassland based on NDTI index had higher prediction accuracy, and could be used for rapid monitoring of aboveground biomass of grassland in a wide range of arid areas. The spatial distribution of the largest aboveground biomass of grassland in the growing season of Gulang County from 2000 to 2014 was significantly different. The aboveground biomass of temperate steppe desert and temperate desert gradually decreased from south to north. The peak biomass of different grassland types appeared in July and August, and there were differences among different grassland types. The results can provide a scientific basis for dynamic monitoring and evaluation of grassland resources and ecological environment in arid areas.
【作者单位】： 甘肃省水土保持科学研究所;
【基金】：甘肃省自然科学基金项目(1506RJZA176) 甘肃省科技支撑计划项目(1504FKCA047)资助
【分类号】：S812
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