Calculating environmental moisture for per-field discrimination of rice crops

International Journal of Remote Sensing

Volumn 24, Issue 4, 2003, Pages 885-890

  Van Niel, T G ^a   McVicar, T R ^a   Fang, H ^b   Liang, S ^b  

^a CSIRO   (Australia)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC HUMIDITY; CROPS; MOISTURE DETERMINATION; SPECTRUM ANALYSIS;

ENVIRONMENTAL MOISTURES;

REMOTE SENSING;

BROADBAND DATA; CLASSIFICATION; DISCRIMINANT ANALYSIS; MOISTURE; RICE; SPECTRAL REFLECTANCE; THEMATIC MAPPING;

EID: 0037455689     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/0143116021000009921     Document Type: Article

References (8)

1. APLIN, P., ATKINSON, P. M., and CURRAN, P. J., 1999, Fine spatial resolution simulated satellite sensor imagery for land cover mapping in the United Kingdom. Remote Sensing of Environment, 68, 206-216.
2. BARBOSA, P. M., CASTERAD, M. A., and HERRERO, J., 1996, Performance of several Landsat 5 Thematic Mapper (TM) image classification methods for crop extent estimates in an irrigation district. International Journal of Remote Sensing, 17, 3665-3674.
3. CONGALTON, R. G., 1991, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
4. GAUSMAN, H. W., ESCOBAR, D. E., EVERITT, J. H., RICHARDSON, A. J., and RODRIGUEZ, R. R., 1978, Distinguishing succulent plants from crop and woody plants. Photogrammetric Engineering and Remote Sensing, 44, 487-491.
5. HARDISKY, M. A., KLEMAS, V., and SMART, R. M., 1983, The influence of soil salinity, growth form, and leaf moisture on spectral radiance of Spartina alterniflora canopies. Photogrammetric Engineering and Remote Sensing, 49, 77-83.
6. HUNT, E. R., and ROCK, B. N., 1989, Detection of changes in leaf water content using near-and middle-infrared reflectances. Remote Sensing of Environment, 30, 43-54.
7. KOKALY, R. F., and CLARK, R. N., 1999, Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression. Remote Sensing of Environment, 67, 267-287.
8. TUCKER, C. J., 1980, Remote sensing of leaf water content in the near infrared. Remote Sensing of Environment, 10, 23-32.