Estimation of Leaf Area Index in dry deciduous forests from IRS-WiFS in central India

• Published in: International journal of remote sensing Vol. 26; no. 21; pp. 4855 - 4867
• Main Authors: Kale, M., Singh, S., Roy, P. S.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 10.11.2005; Taylor and Francis
• Subjects: Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Internal geophysics; Teledetection and vegetation maps; India; Growing phase; processes; Vegetation index; Estimation; Ground based measurement; Space remote sensing; Variability; Regional scope; Empirical method; tropical zone; physiology; vegetation; Biophysics; Near infrared radiation; amplitude; Asia; biochemistry; imagery; Multidate observation; seasonal variations; radiance
• ISSN: 0143-1161; 1366-5901
• DOI: 10.1080/01431160500181309

Leaf Area Index (LAI) is an important biophysical parameter necessary to infer vegetation vigour, seasonal vegetation variability and different physiological and biochemical processes of vegetation. Gap fraction analysis has been carried out to estimate plot-wise LAI. Tropical dry deciduous forests of the study area can be categorized into two prominent phases-growing and senescent phases. Efforts have been made to observe the relationship between ground based LAI values and satellite derived parameters, such as radiance values and also different vegetation indices, namely the Normalized Difference Vegetation Index (NDVI), maximum, minimum, amplitude, sum and radiance NDVI values for both the phases. Multi-temporal IRS 1C WiFS data have been used. WiFS provides information in two bands: red (0.62-0.68 µm) and near-infrared (0.77-0.86 µm). All the images from the representative months have been corrected radiometrically and geometrically. NDVI values have been derived for all the representative months. Among various parameters maximum NDVI values showed better relationships with LAI for both the phases. For the growing phase R 2 (coefficient of determination) was 0.79, whereas for the senescent phase it was 0.48. These empirical relationships have been used to estimate LAI at a regional level. The LAI estimate for growing and senescent phases ranged from <1 to 4.25.