The Relative Importance of Aerosol Scattering and Absorption in Remote Sensing

Fraser, Robert S.; Kaufman, Y. J.

doi:10.1109/tgrs.1985.289380

Cited by 267 publications

(157 citation statements)

References 20 publications

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“…However, the constants and NDVI coefficients differed (F test) at the 0.95 level of significance. These differences can be attributed to measurement error and probable differences in atmospheric conditions and understory ground cover at the time of image acquisition (Fraser and Kaufman, 1985;Curran and Williamson, 1987;Spanner et al, 1989).…”

Section: Resultsmentioning

confidence: 99%

Seasonal LAI in slash pine estimated with landsat TM

Curran

Dungan

Gholz

1992

Remote Sensing of Environment

142

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SUMMARYThe leaf area index (LAI, total area of leaves per unit area of ground) of most forest canopies varies throughout the year, yet for logistical reasons it is difficult to estimate anything more detailed than a seasonal maximum LAI. To determine if remotely sensed data can be used to estimate LA! seasonally, field measurements of LAI were compared to normalized difference vegetation index (NDVI) values, derived using Landsat Thematic Mapper (TM) data, for 16 fertilized and control slash pine plots on three dates.Linear relationships existed between NDVI and LAI with R 2 values of 0.35, 0.75, and 0.86 for February 1988, September 1988, and March 1989. This is the first reported study in which NDVI is related to forest LAI recorded during the month of sensor overpass.Predictive relationships based on data from eight of the plots were used to estimate the LAI of the other eight plots with a root-mean-square error of 0.74 LAI, which is 15.6% of the mean LAI. This demonstrates the potential use of Landsat TM data for studying seasonal dynamics in forest canopies.

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Section: Resultsmentioning

confidence: 99%

Seasonal LAI in slash pine estimated with landsat TM

Curran

Dungan

Gholz

1992

Remote Sensing of Environment

142

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“…The aerosol SSA (i.e. ratio between scattering and extinction of light) is the optical property that determines the sign of TOA forcing (Lio and Seinfeld, 1998), depending on a critical surface albedo (R s,c ) (Fraser and Kaufman, 1985). As an example, for a SSA of 0.90, R s,c is around 0.3.…”

Section: Radiative Effect Parametrization and Dust Optical Propertiesmentioning

confidence: 99%

Impact of dust aerosols on the radiative budget, surface heat fluxes, heating rate profiles and convective activity over West Africa during March 2006

et al. 2009

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Abstract. The present work analyses the effect of dust aerosols on the surface and top of atmosphere radiative budget, surface temperature, sensible heat fluxes, atmospheric heating rate and convective activity over West Africa. The study is focused on the regional impact of a major dust event over the period of 7-14 March 2006 through numerical simulations performed with the mesoscale, nonhydrostatic atmospheric model MesoNH. Due to its importance on radiative budgets, a specific attention has been paid to the representation of dust single scattering albedo (SSA) in MesoNH by using inversions of the AErosol RObotic NETwork (AERONET). The radiative impacts are estimated using two parallel simulations, one including radiative effects of dust and the other without them. The simulations of dust aerosol impacts on the radiative budget indicate remarkable instantaneous (at midday) decrease of surface shortwave (SW) radiations over land, with regional (9 • -17 • N, 10 • W-20 • E) mean of −137 W/m 2 during the 9 to 12 March period. The surface dimming resulting from the presence of dust is shown to cause important reduction of both surface temperature (up to 4 • C) and sensible heat fluxes (up to 100 W/m 2 ), which is consistent with experimental observations. At the top of the atmosphere, the SW cooling (regional mean of

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“…The relationships between NDVI and LAI appear similar for the three dates, but both the constants and the NDVI coefficients differed from each other at the 0.95 level of significance (F test). These differences can be attributed to measurement error and probable differences in atmospheric conditions and understory ground cover at the time of image acquisition (Fraser and Kaufman 1985, Curran and Williamson 1987, Spanner et al 1990). Using data from half of the plots (1 to 8), three predictive relationships (Table 5) were derived to estimate the LAI of the other plots (9 to 16), and the results were compared over all three dates (Fig.…”

Section: Remote Sensing and Lai Dynamicsmentioning

confidence: 99%

Dynamics of Canopy Structure and Light Interception in Pinus Elliottii Stands, North Florida

Gholz¹,

Vogel²,

Cropper³

et al. 1991

Ecological Monographs

207

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This is the published version of the paper.This version of the publication may differ from the final published version. Abstract. In order to develop a model of the carbon cycle for mature slash pine (Pinus elliottii) stands in north Florida, we studied seasonal variation in leaf area index (LAI, allsided), aboveground biomass increment and litterfall, and light penetration through the forest canopy, over a 3-yr period. The primary approach to establishing monthly LAI included annual destructive analyses and monthly measurements of needle fall and elongation. Imagery from the Landsat Thematic Mapper (TM) and patterns of light penetration were also used in attempts to derive less arduous estimates; the TM imagery was most promising. Permanent repository linkLAIs ranged from 3.0 to 6.5 on control plots over the 3 yr, with repeated fertilization increasing maximum LAI by >40%. Seasonal variation was high (40%), as was variation from year to year. An average of 3 1% of the incident photosynthetically active radiation (PAR) penetrated the canopies annually, ranging from 18 to 42% seasonally. Seasonal light penetration could not be described using a simple application of the Beer-Lambert law, perhaps due to the highly aggregated nature of the canopies. Models incorporating more information on canopy structure are necessary to predict light penetration through slash pine stands accurately.A model of needle litterfall was derived that could account for much of the seasonal and annual variation using stand basal area and climate conditions from the spring of the previous year; this model may be useful for developing climate-driven predictions of LAI. Efficiencies of use of incoming and intercepted PAR were low compared to other forest types. Low light interception and high nutrient-use efficiencies (demonstrated in earlier studies) are important adaptive characteristics of slash pine stands to these relatively warm and nutrient-poor sites.

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The Relative Importance of Aerosol Scattering and Absorption in Remote Sensing

Cited by 267 publications

References 20 publications

Seasonal LAI in slash pine estimated with landsat TM

Seasonal LAI in slash pine estimated with landsat TM

Impact of dust aerosols on the radiative budget, surface heat fluxes, heating rate profiles and convective activity over West Africa during March 2006

Dynamics of Canopy Structure and Light Interception in Pinus Elliottii Stands, North Florida

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