期刊文献+

草原关键生育期遥感模式与信息提取方法 被引量:8

Remote Sensing Monitoring for the Key Phonological Stages of Rangeland A Case Study about Xilingol Grassland
下载PDF
导出
摘要 利用2005年中分辨率光谱辐射仪(MODIS)数据,提取植被指数(NDVI)数据集,并定义、提取内蒙古锡林郭勒盟草原4种草地类型(草甸草原、典型草原、沙地草原和荒漠草原)的关键生育期。通过与生育期观测资料对比来评价应用NDVI数据集识别和预测不同草地类型出现返青期和成熟期的能力。研究结果表明,在锡林郭勒草原,利用NDVI的旬度变化可以鉴别出2个关键生育期(返青期和抽穗期)。遥感估测结果与地面观测和历史资料比较接近,说明10 d合成250 m分辨率NDVI数据集可以用来监测草原生育期。 Two key phenological stages, turning green and heading, of four rangeland types were defined primarily based on Terra/MODIS-NDVI time series data collected from 2005. The results show that the satellite-derived data were proved to be consistent with the ‘green wave’ moving through the rangeland in spring. The turning green stage of meadow grassland and typical grassland recorded by satellite was in the 14thdecad, the 15thdecad for desert grassland, and the 13thdecad for sand grassland. The heading stage of the four grassland types recorded by satellite was all in the 23th decad. The results closely correlated with temperatures and precipitation. Comparisons between remote sensing results and ground phenological observations as well as historic data confirmed the coherence of satellite-derived phenology data.
出处 《草地学报》 CAS CSCD 2007年第3期201-205,共5页 Acta Agrestia Sinica
基金 内蒙古科技厅草业虚拟研究院科技项目(20040601)
关键词 草原 生育期 遥感模式 信息提取 Natural grassland Key phonological stages Remote sensing model Information extracting
  • 相关文献

参考文献10

  • 1Clevers J G P W,van Leeuwen H J C A.Framework for monitoring crop growth by combining directional and spectral remote sensing information[J].Remote Sensing of Environment,1994,25:161-170
  • 2Clevers J G P W,Leeuwen H J C,van Leeuwen H J C.Combined use of optical and microwave remote sensing data for crop growth monitoring[J].Remote Sensing of Environment,1996,56(1):42-51
  • 3Duchemin B,Goubier J,Courrier G.Monitoring phonological key stages and cycle duration of temperate deciduous forest ecosystems with NOAA/AVHRR data[J].Remote Sensing of Environmen,1999,67:68-82
  • 4Kennedy P J.Monitoring the phenology of Tunisian grazing lands[J].International Journal of Remote Sensing,1989,10:835-845
  • 5Markon C J,Fleming M D,Binnian E F.Characteristics of vegetation phenology over the Alaskan landscape using AVHRR time-series data[J].Polar-Rec,1995,31,179-190
  • 6Schwartz M D,Reed B C.Surface phenology and satellite sensor-derived onset of greenness:an initial comparison[J].International Journal of Remote Sensing,1999,20:3451-3457
  • 7辜智慧,陈晋,史培军,徐明.锡林郭勒草原1983~1999年NDVI逐旬变化量与气象因子的相关分析[J].植物生态学报,2005,29(5):753-765. 被引量:49
  • 8Justice C O,Townshend J R G,Choudhury B J.Comparison of AVHRR and SMMR data for monitoring vegetation phenology on a continental scale[J].International Journal of Remote Sensing,1989,10:1607-1632
  • 9Luedeke M K B,Ramge P H,Kohlmaier G H.The use of satellite NDVI data for the validation of global vegetation phenology models:application to the Frankfurt Biosphere Model[J].Ecol.Model,1996,91:255-270
  • 10宋晓宇,王纪华,刘良云,黄文江,赵春江.基于高光谱遥感影像的大气纠正:用AVIRIS数据评价大气纠正模块FLAASH[J].遥感技术与应用,2005,20(4):393-398. 被引量:58

二级参考文献12

  • 1Matthew M W, Adler-Golden S W, Berk A. Status of Atmo-spheric Correction Using a MODTRAN4-based Algorithm[J/OL]. SPIE Proceeding, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, Volume 4049 (2000). http://www.spectral.com/sr134.pdf.
  • 2Matthew M W, Adler-Golden S M, Berk A, et al. Atmosph-eric Correction of Spectral Imagery: Evaluation of the FLAA-SH Algorithm with AVIRIS Data[J/OL]. SPIE Proceeding, Algorithms and Technologies for Multispectral, Hyperspectr-al, and Ultraspectral Imagery IX, (2003). http://www.spe-ctral.com/sr192.pdf.
  • 3Research System Inc. FLAASH User's Guide[M]. Envi Fla-ash Version 1.0,November, 2001 Edition.
  • 4Adler-Golden S M, Matthew M W, Bernstein L S. Atmos-pheric Correction for Short-wave Spectral Imagery Based on MODTRAN4[J]. SPIE Proceeding, Imaging Spectrometry V, Volume 3753,1999.
  • 5Bo-Cai Gao, Yoram J. Kaufman. The MODIS Near-IR Water Vapor Algorithm[M]. MODIS Algorithm Technical Background Document.
  • 6Bo-Cai Gao, Yoram J. Kaufman. Water Vapor Retrievals Usi-ng Moderate Resolution Imaging Spectroradiometer (MODIS) Near-infrared Channels[J]. Journal of Geophysical Research, 2003,108(D13):4389.
  • 7Kaufman Y J, Andrew E W, Lorraine A. The MODIS 2.1 μm Channel-Correlation with Visible Eflectance for Use in Remote Sensing of Aerosol[J]. IEEE Transactions on Geoscience and Remote Sensing,1997,35(5):1286~1298.
  • 8Vermote E F, Saleous N El, Justice C O. Atmospheric Corr-ection of Visible to Middle-infrared EOS-MODIS Data Over Land Surface:Background, Operational Algorithm and Validation[J]. Journal of Geophysical Research, 1997,102(D14):17,131~17,141.
  • 9Berk A, Anderson G P, Bernstein L S. MODTRAN4 Radiat-ive Transfer Modeling for Atmospheric Correction[J/OL]. SPIE Proceeding, Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research. Volume 3756,July 1999. http://www.spectral.com/sr116.pdf.
  • 10李晓兵,史培军.中国典型植被类型NDVI动态变化与气温、降水变化的敏感性分析[J].植物生态学报,2000,24(3):379-382. 被引量:208

共引文献104

同被引文献141

引证文献8

二级引证文献141

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部