Remote sensing of mangrove biophysical properties: Evidence from a laboratory simulation of the possible effects of background variation on spectral vegetation indices
- 1 January 2003
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 24 (1), 53-73
- https://doi.org/10.1080/01431160305012
Abstract
A physical scale model of a mangrove canopy over different backgrounds was used in the laboratory to investigate the relationships between a number of spectral vegetation indices and LAI and percent canopy cover and the sensitivity of these indices to variations in background reflectance properties. High spectral resolution reflectance data were acquired from the experimental canopy and these were used to simulate the response in the red and NIR wavebands of the Landsat TM sensor. These data were then used to calculate NDVI, RVI, DVI, PVI, SAVI, SAVI 2, and TSAVI. Three derivative-based indices (1DL_DGVI, 1DZ_DGVI and 2DZ_DGVI) that measure the amplitude of the chlorophyll red edge were also calculated. Based on the correlation coefficients for both LAI and percent canopy cover, the effects of background variations were most pronounced for NDVI, SAVI and TSAVI, whereas SAVI 2 and RVI were moderately affected. The least affected spectral indices were DVI, PVI, 1DL_DGVI, 1DZ_DGVI and 2DZ_DGVI. The DVI appears to be the optimal spectral vegetation index for estimating the biophysical properties of mangroves which have variable background conditions because it had robust linear relationships with LAI and percent cover and it can be easily derived from commonly available broad band remotely sensed data.Keywords
This publication has 20 references indexed in Scilit:
- Remote sensing techniques for mangrove mappingInternational Journal of Remote Sensing, 1998
- Estimating leaf area index of mangroves from satellite dataAquatic Botany, 1997
- Mangroves as indicators of coastal changeCATENA, 1996
- Effets de la couleur et de la brillance du sol sur les indices de végétationInternational Journal of Remote Sensing, 1996
- Comparison of broad-band and narrow-band red and near-infrared vegetation indicesRemote Sensing of Environment, 1995
- Impact of expected climate change on mangrovesHydrobiologia, 1995
- Use of spectral analogy to evaluate canopy reflectance sensitivity to leaf optical propertiesRemote Sensing of Environment, 1994
- The current status of mangroves along the Kenyan coast: a case study of Mida Creek mangroves based on remote sensingHydrobiologia, 1992
- A soil-adjusted vegetation index (SAVI)Remote Sensing of Environment, 1988
- Spectral response of a plant canopy with different soil backgroundsRemote Sensing of Environment, 1985