Red and photographic infrared linear combinations for monitoring vegetation
Journal Article
·
· Remote Sensing Environ.; (United States)
The relationships between various linear combinations of red and photographic infrared radiances and vegetation parameters are investigated. In situ spectrometers are used to measure the relationships between linear combinations of red and IR radiances, their ratios and square roots, and biomass, leaf water content and chlorophyll content of a grass canopy in June, September and October. Regression analysis shows red-IR combinations to be more significant than green-red combinations. The IR/red ratio, the square root of the IR/red ratio, the vegetation index (IR-red difference divided by their sum) and the transformed vegetation index (the square root of the vegetation index + 0.5) are found to be sensitive to the amount of photosynthetically active vegetation. The accumulation of dead vegetation over the year is found to have a linearizing effect on the various vegetation measures.
- Research Organization:
- NASA, Goddard Space Flight Center, Earth Resources Branch, Greenbelt, Md.
- OSTI ID:
- 6014916
- Journal Information:
- Remote Sensing Environ.; (United States), Journal Name: Remote Sensing Environ.; (United States) Vol. 8; ISSN RSEEA
- Country of Publication:
- United States
- Language:
- English
Similar Records
The normalized difference vegetation index of small Douglas-fir canopies with varying chlorophyll concentrations
Assessment of canopy chlorophyll content retrieval in maize and soybean: Implications of hysteresis on the development of generic algorithms
Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
Journal Article
·
Fri Jul 01 00:00:00 EDT 1994
· Remote Sensing of Environment; (United States)
·
OSTI ID:7001160
Assessment of canopy chlorophyll content retrieval in maize and soybean: Implications of hysteresis on the development of generic algorithms
Journal Article
·
Wed Mar 01 19:00:00 EST 2017
· Remote Sensing
·
OSTI ID:1358416
Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
Journal Article
·
Thu Apr 27 20:00:00 EDT 2017
· Scientific Reports
·
OSTI ID:1368369