Multi-dimensional spectral space based drought indices

被引:0
|
作者
Liu Fang [1 ]
Zhan Zhi-Ming [2 ]
Feng Hai-Xia [1 ]
Zhao Shao-Hua [2 ]
机构
[1] Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China
[2] Satellite Environm Ctr, Minist Environm Protect, Beijing 100094, Peoples R China
关键词
surface features spectroscopy; remote sensing drought monitoring model; multi-dimensional spectral space; LEAF-AREA INDEX; WATER-CONTENT; EVAPOTRANSPIRATION;
D O I
10.3724/SP.J.1010.2012.00441
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Multiband drought indices (DIs) have been developed for quantitatively characterizing the degree of region drought-hit and crop yield loss. Nowadays, drought indices are currently one of the hot topics with potential applications in agriculture, forestry and ecological environment monitoring. However, it is still lack of a systematic research for the multiband drought indices. This paper made a review of latest remote sensing derived drought indices. The concept of multi-dimensional spectral space was extended, where multi-dimensional variables are expanded from the remote sensing spectral bands to all the satellites derived products concerned with drought. Over 30 drought indices developed during the past years were categorized by constitution elements into four groups. Advantages and limitations of each group were analyzed. Further more, the family of drought indices was viewed as a "pyramid", and the whole family's composition were deconstructed from the bottom to the top. Environmental impacts like atmosphere, sensor calibration and soil effects on the drought monitoring are analyzed and expressed as improved factors into the models.
引用
收藏
页码:441 / 448
页数:8
相关论文
共 30 条
  • [1] [Anonymous], 2003, ARID METEOROL
  • [2] An evaporation test based on Thermal Infra Red remote-sensing to select appropriate soil hydraulic properties
    Boulet, Gilles
    Mougenot, Bernard
    Ben Abdelouahab, Tarik
    [J]. JOURNAL OF HYDROLOGY, 2009, 376 (3-4) : 589 - 598
  • [3] Detecting vegetation leaf water content using reflectance in the optical domain
    Ceccato, P
    Flasse, S
    Tarantola, S
    Jacquemoud, S
    Grégoire, JM
    [J]. REMOTE SENSING OF ENVIRONMENT, 2001, 77 (01) : 22 - 33
  • [4] DEMATTe JA, 2009, REMOTE SENSING, V2, P1702
  • [5] Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices
    Duchemin, B
    Hadria, R
    Erraki, S
    Boulet, G
    Maisongrande, P
    Chehbouni, A
    Escadafal, R
    Ezzahar, J
    Hoedjes, JCB
    Kharrou, MH
    Khabba, S
    Mougenot, B
    Olioso, A
    Rodriguez, JC
    Simonneaux, V
    [J]. AGRICULTURAL WATER MANAGEMENT, 2006, 79 (01) : 1 - 27
  • [6] Escadafal R., 1989, Remote sensing of the earth's surface., P159, DOI 10.1016/0273-1177(89)90481-X
  • [7] Feng Qiang Feng Qiang, 2004, Arid Land Geography, V27, P477
  • [8] Finlayson-Pitts B.J., 2000, Chemistry of the Upper and Lower Atmosphere: Theory, Experiments, and Applications, Vfirst
  • [9] Estimating crop water stress with ETM plus NIR and SWIR data
    Ghulam, Abduwasit
    Li, Zhao-Liang
    Qin, Qiming
    Yimit, Hamid
    Wang, Jihua
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2008, 148 (11) : 1679 - 1695
  • [10] Ghulam Abduwasit, 2006, REMOTE MONITORING FA