Modified shortwave infrared perpendicular water stress index: A farmland water stress monitoring method

Journal of Applied Meteorology and Climatology

Volumn 52, Issue 9, 2013, Pages 2024-2032

  Feng, Haixia ^a   Chen, Chao ^b   Dong, Heng ^b   Wang, Jinliang ^b   Meng, Qingye ^b  

^a SHANDONG JIAOTONG UNIVERSITY   (China)

^b PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CROP WATER STRESS; HIGHLY-CORRELATED; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; SHORT WAVE INFRARED; SHORTWAVE INFRARED PERPENDICULAR WATER STRESS INDICES (SPSI); THEMATIC MAPPER IMAGES; VEGETATION COVERAGE; VEGETATION WATER CONTENT;

CROPS; INFRARED RADIATION; RADIOMETERS; SATELLITE IMAGERY; SOIL MOISTURE; VEGETATION;

FARMS;

AGRICULTURAL LAND; BARE SOIL; ENVIRONMENTAL MONITORING; INFRARED RADIATION; MODEL VALIDATION; MODIS; REMOTE SENSING; SHORTWAVE RADIATION; SOIL MOISTURE; THEMATIC MAPPING; VEGETATION; WATER CONTENT; WATER STRESS;

EID: 84884215181     PISSN: 15588424     EISSN: 15588432     Source Type: Journal    
DOI: 10.1175/JAMC-D-12-0164.1     Document Type: Article

References (15)

1. Ceccato, P., N. Gobron, S. Flasse, B. Pinty, and S. Tarantola, 2002: Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1: Theoretical approach. Remote Sens. Environ., 82 (2-3), 188-197.
2. Chen, W., Q. Xiao, and Y. Sheng, 1994: Application of the anomaly vegetation index to monitoring heavy drought in 1992 (in Chinese). Remote Sens. Environ., 9, 106-112.
3. Elvidge, C. D., 1990:Visible and near infrared reflectance characteristics of dry plant materials. Int. J. Remote Sens., 11, 1775-1795.
4. Fensholt, R., and I. Sandholt, 2003: Derivation of a shortwave infrared water stress index from MODIS near and shortwave infrared data in a semiarid environment. Remote Sens. Environ., 87, 111-121.
5. Gao, B. C., 1996:NDWI-Anormalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens. Environ., 58, 257-266.
6. Ghulam, A., 2006: Remote monitoring of farmland drought based n-dimensional spectral feature space (in Chinese). Ph.D. dissertation, Peking University, Beijing, China, 246 pp.
7. Ghulam, A., Q. Qin, and Z. Zhan, 2007: Designing of the perpendicular drought index. Environ. Geol., 52, 1045-1052. Hunt, E. R., and B. N. Rock, 1989: Detection of changes in leaf water content using near and middle-infrared reflectances. Remote Sens. Environ., 49, 43-54.
8. Hunt, E. R., and B. N. Rock, 1989: Detection of changes in leaf water content using near and middle-infrared reflectances. Remote Sens. Environ., 49, 43-54.
9. Jackson, R. D., S. B. Idso, R. J. Reginato, and P. J. Pinter Jr., 1981: Canopy temperature as a crop water stress indicator. Water Resour. Res., 17, 1133-1138.
10. Jacquemoud, S., and F. Baret, 1990: PROSPECT: A model of leaf optical properties spectra. Remote Sens. Environ., 34, 75-91.
11. Peñuelas, J., I. Filella, C. Biel, L. Serrano, and R. Savé, 1993: The reflectance at the 950-970nm region as an indicator of plant water status. Int. J. Remote Sens., 14, 1887-1905.
12. Richardson, A. J., and C. L. Wiegand, 1977: Distinguishing vegetation from soil background information. Photogramm. Eng. Remote Sens., 43, 1541-1552.
13. Vermote, E. F., D. Tanre, J. L. Deuze, M. Herman, and J.-J. Morcette, 1997: Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: An overview. Geosci. Remote Sens., 35, 675-686.
14. Watson, K., and L. C. Rowen, 1971: Application of thermal modeling in geologic interpretation of IR images. Remote Sens. Environ., 3, 2017-2041.
15. Zhang, R.-H., X. Sun, Z. Li, M. P. Stoll, H. Su, and X. Tang, 2000: Revealing of major factors in the directional thermal radiation of ground objects-A new way for improving the precision of directional radiant temperature measuring and data analysis. Sci. China, 43E (Suppl. 1), 34-40.