Monitoring of forage conditions with MODIS imagery in the Xilingol steppe, Inner Mongolia

被引:42
作者
Kawamura, K
Akiyama, T
Yokota, H
Tsutsumi, M
Yasuda, T
Watanabe, O
Wang, G
Wang, S
机构
[1] Gifu Univ, River Basin Res Ctr, Gifu 5011193, Japan
[2] Nagoya Univ, Grad Sch Bioagr Sci, Aichi 4700151, Japan
[3] Yamanashi Inst Environm Sci, Div Nat Sci, Yamanashi 4030005, Japan
[4] Natl Agr Res Ctr Western Reg, Lab Levee Vegetat Management, Hiroshima 7218514, Japan
[5] Chinese Acad Sci, Inst Bot, Beijing 100090, Peoples R China
关键词
D O I
10.1080/01431160512331326783
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
A study was conducted to determine the potential suitability of Terra/MODIS imagery for monitoring short-term phenological changes in forage conditions in a semi-arid region. The study sites included four meadow steppes and six typical steppes in the Xilingol steppe in central Inner Mongolia, China. The live biomass, dead standing biomass, total biomass, crude protein (CP) concentration and standing CP were estimated from early April to late October using the Enhanced Vegetation Index (EVI) values from Terra imagery (500 m pixels). Applying regression models, the EVI accounted for 80% of the variation in live biomass, 42% of the dead biomass, 77% of the total biomass, 11% of the CP concentration and 74% of the standing CP. MODIS/EVI is superior to AVHRR/NDVI when estimating forage quantity. Applying these results, the seasonal changes in live biomass and the standing CP could be described in the selected four sites with different degrees of grazing intensity. Generally, the increase in grazing intensity tended to decrease live biomass and standing CP. It was suggested that the EVI obtained from Terra imagery was an available predictor of the forage condition as measured by live biomass and standing CP. The MODIS/EVI values could provide information on the suitable timing of cutting for hay-making and nutritive value to range managers.
引用
收藏
页码:1423 / 1436
页数:14
相关论文
共 37 条
[1]  
*AOAC, 1984, OFF METH AN
[2]   Grazing intensity impacts on pasture carbon and nitrogen flow [J].
Baron, VS ;
Mapfumo, E ;
Dick, AC ;
Naeth, MA ;
Okine, EK ;
Chanasyk, DS .
JOURNAL OF RANGE MANAGEMENT, 2002, 55 (06) :535-541
[3]   The long-term monitoring of vegetation cover in the Amazonian region of northern Brazil using NOAA-AVHRR data [J].
Batista, GT ;
Shimabukuro, YE ;
Lawrence, WT .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (15) :3195-3210
[4]  
BRAUNBLANQUET J, 1964, SHOKUBUTSU SHAKAIGAK, V1
[5]  
Chen Z.Z., 1988, INNER MONGOLIA GRASS, P13
[6]   Multitemporal, multichannel AVHRR data sets for land biosphere studies - Artifacts and corrections [J].
Cihlar, J ;
Ly, H ;
Li, ZQ ;
Chen, J ;
Pokrant, H ;
Huang, FT .
REMOTE SENSING OF ENVIRONMENT, 1997, 60 (01) :35-57
[7]   Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance [J].
Daughtry, CST ;
Walthall, CL ;
Kim, MS ;
de Colstoun, EB ;
McMurtrey, JE .
REMOTE SENSING OF ENVIRONMENT, 2000, 74 (02) :229-239
[8]   Optical-biophysical relationships of vegetation spectra without background contamination [J].
Gao, X ;
Huete, AR ;
Ni, WG ;
Miura, T .
REMOTE SENSING OF ENVIRONMENT, 2000, 74 (03) :609-620
[9]   Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture [J].
Haboudane, D ;
Miller, JR ;
Tremblay, N ;
Zarco-Tejada, PJ ;
Dextraze, L .
REMOTE SENSING OF ENVIRONMENT, 2002, 81 (2-3) :416-426