Remote sensing of leaf water content in the near infrared

Remote Sensing of Environment

Volumn 10, Issue 1, 1980, Pages 23-32

  Tucker, Compton J ^a  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TRANSMISSION PROPERTIES; LEAF SPECTRAL REFLECTANCE; PLANT CANOPY WATER STATUS; SOLAR SPECTRAL IRRADIANCE;

EID: 0019213778     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/0034-4257(80)90096-6     Document Type: Article

References (28)

1. Water and air changes in grapefruit, corn, and cotton leaves with maturation
2. Interaction of isotropic light with a compact plant leaf
3. Mean effective optical contansts of thirteen kinds of plant leaves
4. Remote detection of moisture stress: Field and laboratory experiments
5. Extinction coefficients for pure liquid water
6. Rangeland reflectance characteristics measured by aircraft and spacecraft sensors
7. Spectral properties of plants
8. Relation of light reflectance to histological and physical evaluations of cotton leaf maturity
9. Effects of leaf age for four growth stages of cotton and corn plants on leaf reflectance, structure, thickness, water and chlorophyll concentrations, and selection of wavelengths for crop discrimination
10. Distinguishing succulent plants from crop and woody plants
11. The tasselled cap—A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat
12. Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation
13. Seasonal changes in reflectance of two wheat cultivars
14. Optical sensing of the moisture content in fine forest fuels
15. Radiative transfer in plant communities
16. Data on incident solar energy
17. Factors affecting light reflectance of cotton
18. Estimating leaf water content by reflectance measurements
19. Using Landsat digital data to detect moisture stress
20. A comparison of satellite sensor bands for vegetation monitoring
21. Red and photo graphic infrared linear combinations for monitoring vegetation
22. Remote sensing of leaf water content
23. Relationship of red and photographic infra-red spectral data to alfalfa agronomic values
24. Relationship of spectral data to grain yield variation
25. Leaf optical system modeled as a stochastic process
26. Physiological factors and optical parameters as a basis of vegetation discrimination and stress analysis
27. Reflectance and transmittance of light by leaves