全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于HJ-1A/1B数据的高寒草地牧草营养动态监测模型

DOI: 10.6046/gtzyyg.2013.03.30, PP. 183-188

Keywords: 高寒草地,粗蛋白,监测模型,HJ-1A/1B,生物量

Full-Text   Cite this paper   Add to My Lib

Abstract:

为了掌控高寒草地全年的营养状况与更好地利用草地和草畜平衡,该文基于HJ-1A/1B多光谱CCD数据,通过监测草地牧草全年4期营养动态和分析对应时期的遥感指数,建立了直接和间接的遥感动态对比模型,获得了草地牧草4期生物量和粗蛋白含量。结果表明:基于HJ-1A/1B多时相、多光谱数据,利用间接模型反演4期草地牧草生物量和粗蛋白是一种可行的方法,尤其在枯草期和返青期;草地牧草全年营养状况变化很大,最大相差约9倍。

References

[1]  蒋全民,王梦琳,任继周,等.草畜平衡:刻不容缓的百年方略[J].四川草原,2003(6):52-56. Jiang Q M,Wang M L,Ren J Z,et al.Livestock balance:Urgent centuries strategy[J].Journal of Sichuan Grassland,2003(6):52-56.
[2]  金晓明,韩国栋.贝加尔针茅草地基况评价及载畜量估算[J].东北师大学报:自然科学版,2010(1):117-122. Jin X M,Han G D.Evaluation of rangeland condition and estimation of grazing capacity in Stipa baicalensis steppe[J].Journal of Northeast Normal University:Natural Science Edition,2010(1):117-122.
[3]  郝力壮,刘书杰,吴克选,等.玛多县高山嵩草草地天然牧草营养评定与载畜量研究[J].中国草地学报,2011(1):84-89. Hao L Z,Liu S J,Wu K X,et al.Study on the evaluation of grass nutrition and carrying capacity in alpine grassland of kobresia hastily in maduo county[J].Chinese Journal of Grassland,2011(1):84-89.
[4]  林莉,郝力壮,刘书杰,等.三江源区海南州高寒草地暖季草场生产力及载畜量研究[C]//第六次全国饲料营养学术研讨会论文集.杨凌:中国畜牧兽医学会,2010:14. Lin L,Hao L Z,Liu S J,et al.Research on the grassland productivity and carrying capacity of warm pasture of alpine meadow in Hainan Prefecture of Sanjiangyuan region[C]//The 6th national symposium on feed nutrition.Yangling:Chinese Asspciation of Animalscience and Veterinary Medicine,2010:14.
[5]  Thoma D P,Bailey D W,Long D S,et al.Short-term monitoring of rangeland forage conditions with AVHRR imagery- 2002[J].Journal of Range Management.2002,55(4):383-389.
[6]  Mitchell J J,Glenn N F,Sankey T T,et al.Remote sensing of sagebrush canopy nitrogen[J].Remote Sensing of Environment.2012,124:217-223.
[7]  张浩,胡昊,陈义,等.水稻叶片氮素及籽粒蛋白质含量的高光谱估测模型[J].核农学报,2012(1):135-140. Zhang H,Hu H,Chen Y,et al.Estimating nitrogen of rice leaf and protein of rice seed based on hyperspectral data[J].Acta Agriculture Nacleatae Sinica,2012(1):135-140.
[8]  王迅,刘书杰,贾海峰,等.基于高光谱数据的高寒草地营养状况的研究[J].光谱学与光谱分析,2012,32(10):2780-2784. Wang X,Liu S J,Jia H F,et al.Study on the nutrition of alpine meadow based on hyperspectral data[J].Spectroscopy and Spectral Analysis,2012,32(10):2780-2784.
[9]  刘书杰,王万邦,薛白,等.不同物候期放牧牦牛采食量的研究[J].青海畜牧兽医杂志,1997(2):5-9. Liu S J,Wang W B,Xue B,et al.The Determination of feed intake in different phenological period for grazing yaks[J].China Qinghai Journal of Animal and Veterinary Sciences,1997(2):5-9.
[10]  Knox N M,Skidmore A K,Prins H H T,et al.Remote sensing of forage nutrients:Combining ecological and spectral absorption feature data[J].ISPRS Journal of Photogrammetry and Remote Sensing.2012,72:27-35.
[11]  陶伟国,徐斌,杨秀春.草原产草量遥感估算方法发展趋势及影响因素[J].草业学报,2007,16(2):1-8. Tao W G,Xu B,Yang X C.Advances and factors affecting the estimation of grass production using remote sensing[J].Acta Prataculturae Sinica,2007,16(2):1-8.
[12]  陈拉,黄敬峰,王秀珍.不同传感器的模拟植被指数对水稻叶面积指数的估测精度和敏感性分析[J].遥感学报,2008,12(1):143-151. Chen L,Huang J F,Wang X Z.Estimating accuracies and sensitivity analysis of regression models fitted by simulated vegetation indices of different sensors to rice LAI[J].Journal of Remote Sensing,2008,12(1):143-151.
[13]  杨峰,李建龙,钱育蓉,等.天山北坡典型退化草地植被覆盖度监测模型构建与评价[J].自然资源学报,2012,27(8):1340-1348. Yang F,Li J L,Qian Y R,et al.Estimating vegetation coverage of typical degraded grassland in the northern Tianshan Mountains[J].Journal of Natural Resources,2012,27(8):1340-1348.
[14]  刘冰峰,李军,赵刚峰,等.夏玉米叶片全氮含量高光谱遥感估算模型研究[J].植物营养与肥料学报,2012,18(4):813-824. Liu B F,Li J,Zhao G F,et al.Total nitrogen content estimation models of summer maize leaves using hyperspectral remote sensing[J].Plant Nutrition and Fertilizer Science,2012,18(4):813-824.
[15]  刘炜,常庆瑞,郭曼,等.夏玉米可见/近红外光小波主成分提取与氮素含量神经网络检测[J].红外与毫米波学报,2011,30(1):48-54. Liu W,Chang Q R,Guo M,et al.Detection of leaf nitrogen content of summer corn using visible/near infrared spectra[J].Journal of Infrared and Millimeter Waves,2011,30(1):48-54.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133