基于MODIS数据的甘肃省肃南裕固族自治县草地产草量估算
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摘要
基于甘肃省肃南裕固族自治县323个监测点数据,与2012-2016年同期对应的MODIS-NDVI和MODIS-EVI植被指数结合,建立研究区草地估产模型,监测估算了肃南县草原生产能力.结果表明:5个估产区对应的模型方程均有较好的相关关系,通过预留的精度验证点进行验证后,模型精度都在90%以上,证明遥感估产可行;估算得出2012-2016年肃南县产草量自东南向西北递减;从各乡镇的产草量来看,皇城镇的草原质量和生产力水平居全县最高,祁丰乡最低;从肃南县草原类型的结构和生产力来看,低地草甸产草量在肃南县9种草地类型中质量等级和生产力水平最高,高寒草甸草原最低.
323 monitoring data based on Sunan County in the 2012-2016 period corresponding to MODISNDVI and MODIS-EVI were combined with vegetation indexes, to establish a grassland yield estimation model of the research area for monitoring and estimating the grassland production capacity of Sunan County. The results showed that the model equations corresponded to the five yield zone correlations, verified by the accuracy of some reserves, with the accuracy of the model being above 90%. The remote sensing was feasible and the obtained 2012-2016 yield decreased from southeast to northwest. As for the amount of grass in every town, Huang Town on the grassland had the county's highest quality and productivity and those of Qifeng ranked the lowest. As for the structure and productivity of grassland of Sunan County type, lowland meadow grass yield was of the highest quality and productivity of the nine grassland types while alpine meadows in the highest places had the lowest grass yield.
323 monitoring data based on Sunan County in the 2012-2016 period corresponding to MODISNDVI and MODIS-EVI were combined with vegetation indexes, to establish a grassland yield estimation model of the research area for monitoring and estimating the grassland production capacity of Sunan County. The results showed that the model equations corresponded to the five yield zone correlations, verified by the accuracy of some reserves, with the accuracy of the model being above 90%. The remote sensing was feasible and the obtained 2012-2016 yield decreased from southeast to northwest. As for the amount of grass in every town, Huang Town on the grassland had the county's highest quality and productivity and those of Qifeng ranked the lowest. As for the structure and productivity of grassland of Sunan County type, lowland meadow grass yield was of the highest quality and productivity of the nine grassland types while alpine meadows in the highest places had the lowest grass yield.
引文
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[3]魏永林,马晓虹,宋理明.青海湖地区天然草地土壤水分动态变化及对牧草生物量的影响[J].草业科学,2009, 26(5):76-80.
[4]童庆禧,丁志,郑兰芬,等.应用NOAA气象卫星图象资料估算草场生物量方法的初步研究[J].自然资源学报,1986, 1(1):87-95.
[5]毛飞,侯英雨,唐世浩,等.基于近20年遥感数据的藏北草地分类及其动态变化[J].应用生态学报, 2007, 18(8):1745-1750.
[6]赵冰茹,刘闯,刘爱军,等.利用MODIS-NDVI进行草地估产研究:以内蒙古锡林郭勒草地为例[J].草业科学, 2004, 21(8):12-15.
[7]杜玉娥,刘宝康,郭正刚.基于MODIS的青藏高原牧草生长季草地生物量动态研究[J].草业科学, 2011, 28(6):1117-1123.
[8]龙鑫.基于多源遥感数据的植被指数合成算法研究[D].北京:中国科学院大学, 2013.
[9]徐斌,陶伟国,杨秀春,等.我国退牧还草工程重点县草原植被长势遥感监测[J].草业学报, 2007, 16(5):13-21.
[10]董朝阳.裕固族人口变化及其生态经济影响[D].兰州:中国科学院寒区旱区环境与工程研究所, 2006.
[11]于惠,冯琦胜,陈思宇,等.基于微波植被指数的甘南草地生物量动态监测[J].兰州大学学报:自然科学版,2011, 47(4):69-74.
[12]陶伟国,徐斌,刘丽军,等.不同利用状况下草原遥感估产模型[J].生态学杂志, 2007, 26(3):332-337.
[13]王炳煜,韩天虎,孙斌.基于MODIS NDVI的2001-2015年甘肃省天然草原的时空动态监测[J].中国草食动物科学, 2016, 36(4):39-41.
[14]孙斌,王炳煜,冯今,等.甘肃省草原产草量动态监测模型[J].草业科学, 2015, 32(12):1988-1996.
[15]王莺,夏文韬,梁天刚,等.基于MODIS植被指数的甘南草地生物量[J].兰州大学学报:自然科学版, 2009,45(5):73-78.