Showing papers in "Remote Sensing of Environment in 1998"

TL;DR: The operation and philosophy of the monitoring system, the precision and accuracy of the measuring radiometers, a brief description of the processing system, and access to the database are discussed.

TL;DR: The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) was the first imaging sensor to measure the solar reflected spectrum from 400 nm to 2500 nm at 10 nm intervals as mentioned in this paper.

TL;DR: In this article, a study was initiated in the Santa Monica Mountains to investigate the use of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) for providing improved maps of chaparral coupled with direct estimates of canopy attributes (eg. biomass, leaf area, fuel load).

TL;DR: In this article, a combination of field and modeling techniques were used to quantify the relative contribution of leaf, stem, and litter optical properties (incorporating known variation in foliar biochemical properties) and canopy structural attributes to nadir-viewed vegetation reflectance data.

TL;DR: In this article, an investigation was undertaken into the effectiveness of a range of hyperspectral approaches for estimating the concentrations of chlorophyll a, carotenoids at the plant canopy and leaf scales and the results indicated that narrowband reflectance indices, such as the pigment-specific simple ratio (PSSR), can be developed which have extremely strong relationships with the concentration per unit area of individual pigments at the canopy scale.

TL;DR: This work discusses options available for both a probability sampling design and statistically consistent estimators of accuracy parameters, along with a response design determined in accordance with features of the mapping and classification process such as the land-cover classification scheme, minimum mapping unit, and spatial scale of the maps.

TL;DR: In this paper, the impact of these upgrades on predictions for AVIRIS viewing scenarios is discussed for both clear and clouded skies; the CK approach provides refined predictions for nadir and near-nadir viewing.

TL;DR: In this article, four digital change detection algorithms are applied to 1986 and 1990 Landsat Thematic Mapper (TM) images of a portion of the Salt Lake Valley area to determine the land-cover/land-use changes between the two dates.

TL;DR: The multivariate alteration detection (MAD) transformation which is based on the established canonical correlations analysis is introduced and postprocessing of the change detected by the MAD variates using maximum autocorrelation factor (MAF) analysis is proposed.

TL;DR: In this paper, a modular program was created to perform interactive derivative analysis and calculated derivatives using either a convolution (Savitzky-Golay) or finite divided difference approximation algorithm.

TL;DR: In this paper, the authors used reflectance spectra over the 400-2500 nm range with a spectral resolution of 2 nm and the content of chlorophylls a, b, a+b, and total carotenoids of Eucalyptus leaves.

TL;DR: In this article, the authors used the Advanced Very High Resolution Radiometer (AVHRR) sensor on board the NOAA polar-orbiting satellites to study the temporal and spatial characteristics of drought in southern Africa.

TL;DR: In this paper, the authors analyzed airborne hyperspectral data for the classification of 11 forest cover types, including pure and mixed stands of deciduous and conifer species, using a maximum likelihood algorithm assigning all pixels in the image into one of the 11 categories.

TL;DR: The conifer leaf model LIBERTY (Leaf Incorporating Biochemistry Exhibiting Reflectance and Transmittance Yields) is an adaptation of radiative transfer theory for determining the optical properties of powders as mentioned in this paper.

TL;DR: In this paper, the Sun-canopy-sensor (SCS) topographic correction model was developed to characterize and correct the topographic effects on forest images, which is based on the normalization of mutual shadowing at the subpixel scale.

TL;DR: In this paper, the authors examine the strengths and weaknesses of a number of approaches to the monitoring of biomass burning at a regional scale and suggest how to best combine the information content on fire distribution provided by different earth observation satellites.

TL;DR: In this paper, a neural network is employed to model the transfer function between the chlorophyll and sediment concentrations and the satellite-received radiances, using the three visible Landsat Thematic Mapper bands as inputs.

TL;DR: In this article, the authors used time-integrated normalized difference vegetation index (TI NDVI) derived from the multitemporal satellite imagery (1989-1993) as a surrogate for primary production to investigate climate impacts on grassland performance for central and northern Great Plains grasslands.

TL;DR: In this article, the potential of three quasiphysical methods for estimating water content using remotely sensed Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data of chaparral systems in the Santa Monica Mountains, California.

TL;DR: In this article, a semivariance moment texture is integrated into the relationship between LAI and vegetation indices to increase the accuracy of estimated LAI estimates over a range of forest species, densities, closures, and tolerances.

TL;DR: In this paper, in situ spectral reflectance of healthy and bleached Fijian scleractinian corals was measured with a hand-held spectroradiometer, and spectral derivative analysis was used to determine the specific wavelength regions ideal for remote identification of substrate type.

TL;DR: In this paper, a textural index was used for mapping woody plant densities and monitoring woody plants encroachment across savanna landscapes using high-resolution aerial images of the same area.

TL;DR: In this paper, the authors developed a technique to improve spectral mixture analysis of snow-covered area in alpine regions through the use of multiple snow endmembers and performed numerical simulations to demonstrate the sensitivity of mixture analysis to grain size for a range of sizes and fractions.

TL;DR: In this paper, a hyperspectral bidirectional reflectance data set of grass lawn and watercress canopies acquired under controlled laboratory conditions at the JRC European Goniometric Facility, at Ispra, Italy was analyzed with respect to basic physical reflectance mechanisms and factors influencing reflectance anisotropy.

TL;DR: In this article, a technique called Atmospheric Precorrected Differential Absorption (APDA) is derived directly from simplified radiative transfer equations, which combines a partial atmospheric correction with a differential absorption technique.

TL;DR: In this article, principal component analysis and canonical discriminant analysis were applied to study the effect of organic matter, iron content, and texture in a set of samples from two valleys in the Santa Monica Mountains Recreation Area, California.

TL;DR: In this article, the authors examined the use of various vegetation indices and multiple linear regression using raw spectral bands for predicting vegetation cover in a landscape characterized by high variability in vegetation cover and soil properties.

TL;DR: In this article, a semi-empirical model for the retrieval of above-ground biomass density of regenerating tropical forest using JERS-1 Synthetic Aperture Radar (SAR) was presented.

TL;DR: In this paper, a field experiment determined the reflectance wavebands and indices which corresponded most strongly with photosynthetic capacity in a mixed stand of loblolly pine (Pinus taeda L.) and slash pine (P. elliottii Engelm. var.

TL;DR: In this article, a water deficiency was detected among the spectral population of wheat using principal component analysis (PCA) and unmixing of two endmembers of wheat, related respectively to well-developed and stressed plants.