| Title | A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests: an image and model analysis |
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| Author | Brown, L; Chen, J M; Leblanc, S G ; Cihlar, J |
| Source | Remote Sensing of Environment vol. 71, issue 1, 2000 p. 16-25, https://doi.org/10.1016/S0034-4257(99)00035-8 |
| Image |  |
| Year | 2000 |
| Alt Series | Earth Sciences Sector, Contribution Series 20042688 |
| Publisher | Elsevier BV |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | remote sensing; Leaf Area Index (LAI); VEGETATION satellite; SPOT-4; MODIS |
| Illustrations | tables; graphs |
| Abstract | In preparation for new satellite sensors, such as VEGETATION on SPOT-4 and the MODerate Resolution Imaging Spectrometer (MODIS), we investigate the potential of the shortwave infrared (SWIR) signal to
improve Leaf Area Index (LAI) retrieval in the boreal forests of Canada. Our study demonstrates that an empirical SWIR modification to the simple ratio (SR) vegetation index, termed the reduced simple ratio (RSR), has the potential to unify deciduous
and conifer species in LAI retrieval, shows increased sensitivity to LAI and demonstrates an improved correlation with LAI in individual jack pine and black spruce canopies. The unification of deciduous and conifer species suggests the possibility of
not requiring a cover type stratification prior to retrieving LAI information from remotely-sensed data, and has impact where no cover type information will be made or where the mix of cover types within a pixel is unknown. We use a geometric-optical
canopy reflectance model to quantify the potential variation in jack pine and black spruce canopy reflectance caused by differences in background reflectance. The modeling study supports the results from the image analysis of the RSR showing
increased sensitivity to LAI and reducing background effects in these conifer canopies. |
| GEOSCAN ID | 219490 |
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