论文

Vegetation Water Content Estimation Using NDVI and LSWI from MODIS Images

Expand
  • 1. College of Geography, Fujian Normal University, Fuzhou, Fujian 350007;
    2. Department of Urban and Resource Sciences, Northwest University, Xi’an, Shaanxi 710069

Received date: 2006-12-08

  Revised date: 2007-05-10

  Online published: 2008-01-20

Abstract

Estimating the water status of vegetation is most important in crop irrigation and prediction of forest fire. This paper analyzes the relationships between vegetation water content (VWC) and land surface water index (LSWI) and between fractional vegetation cover and normalized difference vegetation index (NDVI) from 8-day composite MODIS (Moderate Resolution Imaging Spectroradiometer) surface reflection products (MOD09A1), and the distribution regularities of different type of vegetation and its surface water content in LSWI-NDVI space. Two years’ 8-day composite MODIS Surface Reflection products were used to estimate the minimal and maximal water content lines of the hypothetical trapezoidal shape of NDVI-LSWI in the study area. Instead of the theoretical trapezoidal shape of fractional vegetation cover and Ts-Ta that indirectly estimated water status per fractional vegetation cover (Ts-Ta is surface (soil and canopy) temperature minus air temperature at measuring time), the vegetation dryness index (VDI) developed in this study was directly used to estimate vegetation water deficits at the canopy level by the trapezoidal shape of LSWI-NDVI. The technique simply estimated vegetation water status without measuring Ts-Ta.

Cite this article

ZHANG You-Shui, XIE Yuan-Li . Vegetation Water Content Estimation Using NDVI and LSWI from MODIS Images[J]. SCIENTIA GEOGRAPHICA SINICA, 2008 , 28(1) : 72 -76 . DOI: 10.13249/j.cnki.sgs.2008.01.72

References

[1] Chuvieco E,Riano D, Aguado I, et al. Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment [J]. International Journal of Remote Sensing, 2002, 23(11): 2145-2162.
[2] 赵云升,杜 嘉,宋开山,等.基于卫星遥感的夏季长春市城区热场分析[J].地理科学,2006,26(1):70~74.
[3] 范世香,高 雁,程银才,等.林冠对降雨截留能力的研究[J].地理科学,2007,27(2):200~204.
[4] 刘三超,张万昌,高懋芳,等.分布式水文模型结合遥感研究地表蒸散发[J].地理科学,2007,27(3):354~358.
[5] 袁淑杰,缪启龙,谷晓平,等.中国云贵高原喀斯特地区春旱特征分析[J].地理科学,2007,27(6):796~800.
[6] Paltridge G W, Barber J. Monitoring grassland dryness and fire potential in Australia with NOAA/AVHRR data [J]. Remote sensing of environment, 1988, 25 (3): 381-394.
[7] Ceccato P, Flassee S, Tarantola S, et al. Detecting vegetation leaf water content using reflectance in the optical domain [J]. Remote Sensing of Environment, 2001, 77 (1): 22-33.
[8] Ceccato P, Flasse S, Gregoire J M. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 2. Validation and applications[J]. Remote Sensing of Environment, 2002a, 82 (2): 198-207.
[9] Ceccato P, Gobron N, Flasse S, et al. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. Theoretical approach [J]. Remote Sensing of Environment, 2002b, 82 (2): 188-197.
[10] 廖静娟, 邵 芸, 郭华东, 等. 水稻生长期微波介电特性研究[J]. 遥感学报, 2002, 6(1): 19~23.
[11] Moghaddam M Saatchi S S. Monitoring tree moisture using an estimation algorithm applied to SAR data from BOREAS[J]. IEEE transactions on Geoscience and Remote Sensing, 1999, 17(2): 901-916.
[12] M Makia, M Ishiahrab, M Tamura. Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data [J]. Remote Sensing of Environment, 2004, 90 (4): 441-450.
[13] F M Danson, M D Steven, T J Malthus, et al. High spectral resolution data for determining leaf water content [J]. International Journal of Remote Sensing, 1992, 13(3): 461-470.
[14] Tanner C B. Plant temperature[J]. Agronomy Journal, 1963, 50: 210-211.
[15] 张仁华. 以红外辐射为基础的估算作物缺水状况的新模式[J]. 中国科学(B辑), 1987, 17(7): 776~784.
[16] 武晓波, 阎守邕, 田国良,等. 在GIS支持下用NOAA/AVHRR数据进行旱情监测[J]. 遥感学报, 1998, 2(4): 280~284.
[17] Gao B. NDWI—a normalized difference water index for remote sensing of vegetation liquid water from space [J]. Remote Sensing of Environment, 1996, 58(3): 257-266.
[18] Sims D A, Gamon J A. Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid water and chlorophyll absorption features [J]. Remote Sensing of Environment, 2003, 84(4): 526-537.
[19] Roberts D A, Green R O, Adams J B. Temporal and spatial patterns in vegetation and atmospheric properties from AVIRIS [J]. Remote Sensing of Environment, 1997, 62(3): 223-240.
[20] Nemani R R, Pierce L, Running S W. Developing satellite-derived estimates of surface moisture status [J]. Journal of Applied Meteorology, 1993, 32(3): 548-557.
[21] 韩丽娟, 王鹏新, 王锦地, 等. 植被指数-地表温度构成的特征空间研究[J]. 中国科学(D辑,地球科学), 2005, 35(4): 371~377.
Outlines

/