Showing papers in "Remote Sensing of Environment in 1988"

TL;DR: In this article, a transformation technique was presented to minimize soil brightness influences from spectral vegetation indices involving red and near-infrared (NIR) wavelengths, which nearly eliminated soil-induced variations in vegetation indices.

TL;DR: In this paper, an improved dark-object subtraction technique is demonstrated that allows the user to select a relative atmospheric scattering model to predict the haze values for all the spectral bands from a selected starting band haze value.

TL;DR: In this paper, a scene-to-scene radiometric normalization technique was developed which corrects for atmospheric degradations, illumination effects, and sensor response differences in multitemporal multispectral imagery.

TL;DR: The semivariogram as mentioned in this paper is a function that relates semivariance to sampling lag, which can be estimated using remotely sensed data or ground data and represented as a plot that gives a picture of the spatial dependence of each point on its neighbor.

TL;DR: In this article, the authors computed the emissivity of pure and sea waters for the model sea surface as a function of the zenith angle of observed radiation (ω) and the surface wind speed in the infrared window regions, 3.5-4.1 μm and 8-13 μm.

TL;DR: In this paper, an airborne pulsed laser system was used to obtain canopy height data over a southern pine forest in Georgia in order to predict ground-measured forest biomass and timber volume.

TL;DR: In this article, the AVHRR Normalized Difference Vegetation Index (NDVI) values for seven sites of diverse climate in North America were correlated with results of an ecosystem simulation model of a hypothetical forest stand for the corresponding period at each site.

TL;DR: In this article, the authors found similar features that are related to air-pollution-induced forest decline and visible damage in both the red spruce of Vermont and the Norway spruce in Baden-Wuerttemberg, Germany.

TL;DR: In this article, the sensitivity of variograms is studied through varyig parameters of scene models both in calculating explicit variograms and in simulating images, and it is shown that the range of influence of a variogram is related to the size of the objects in the scene and the shape of the variogram becomes more rounded as the variance in the size distribution of objects increases.

TL;DR: In this paper, three flightlines of Airborne Imaging Spectrometer (AIS) data, acquired over the northern Grapevine Mountains, Nevada, and California, were used to map minerals associated with hydrothermally altered rocks.

TL;DR: In this paper, empirically calculated variograms from real digital images demonstrate many of the findings of previous theoretical research using a disc model of scenes and simulated images including: (1) the heights of variograms are related to the density, or proportion of an area covered by objects, the range of influence of a variogram is related to size of the objects in the scene, and the shape of the variogram becomes more rounded as the variance in the distribution of the sizes of objects increases.

TL;DR: In this article, the effect of the IFOV of the sensor through a process called regularization is derived for simple models of ground scenes consisting of randomly located discs on a continuous background, and the sensitivity of variograms is studied through varying parameters of scene models both in calculating explicit variograms and in simulating images.

TL;DR: In this paper, a corrected infrared reflectance is calculated by subtracting the contribution of the soil from the measured reflectance, based on the assumption that there is a constant ratio between the reflectances of bare soil in different spectral bands for a given soil background, independent of soil moisture content.

TL;DR: In this paper, the analysis of Airborne Imaging Spectrometer data reveals that total water content variations in deciduous forest canopies appear as overall shifts in the brightness of raw spectra.

TL;DR: A review of progress made in the new field of imaging spectroscopy is presented based on the nine papers making up the special issue of this journal as mentioned in this paper, where the history, design, and performance of the pioneering sensor for terrestrial high resolution remote sensing, the Airborne Imaging Spectrometer (AIS), are presented.

TL;DR: In this paper, the chemical content of dry, ground leaf material sampled from deciduous and conifer tree species from sites in Alaska, Wisconsin, and California was estimated using visible and shortwave IR spectroscopy.

TL;DR: An atmospheric radiant transfer model was used to compare ground-measured radiances over partially vegetated canopies with their simulated responses at the top of a clear (100 km meteorological range) and a turbid (10 km) atmosphere as mentioned in this paper.

TL;DR: In this article, a simple equation relating the Microwave Polarization Difference Index (MPDI) and the Normalized Difference Vegetation Index (NDVI) is proposed which represents well data obtained from Nimbus 7/SMMR at 37 GHz and NOAA/AVHRR Channels 1 and 2.

TL;DR: In this article, an extensive experiment at five sites in Victoria, Australia, during the 1985-1986 summer is presented, and a modified vegetation index observed by the AVHRR is related to "grassland" fuel-moisture content.

TL;DR: This paper describes a software system specifically designed to provide the science user with a powerful set of tools for carrying out exploratory analysis of imaging spectrometer data utilizing only modest computational resources.

TL;DR: In this paper, the authors used the Monte Carlo method to calculate the BRDF as a function of solar and view directions, which can be used for future progress of the remote sensing technique.

TL;DR: In this paper, the potential of measuring/mapping forest damage in spruce-fir forests in the Green Mountains of Vermont and White Mountains of New Hampshire using Landsat Thematic Mapper (TM) data was evaluated.

TL;DR: In this article, a vector analysis of satellite spectral data is used to distinguish variations in water color and pigment concentrations from changes in turbidity, and the results indicate that this method can identify blooms in estuaries where the reflectance is between 0.01 and 0.07 and, with some calibration, may provide estimates of chlorophyll for concentrations greater than 5 μg/L.

TL;DR: Changes in the anatomy of oak leaves and their reflectance spectra from 450 to 850 nm were followed during autumnal senescence, and changes in leaves related to the senescent stages, and factors exerting the most significant effects on reflectance were described.

TL;DR: In this paper, the at-satellite planetary reflectance was computed on spectrally similar zones on the Meares and Schwanda glaciers in Alaska and the Grossglockner glacier group in Austria.

TL;DR: In this article, backscattering coefficients were measured using a 4.5 GHz frequency, HH polarization and 15-20° incidence angle microwave sensor configuration, in order to minimize the soil surface roughness effects.

TL;DR: In this paper, the authors measured thermal infrared reflectance spectra for suites of plant materials from seven species and found that dry plant materials generally yield spectra characterized by lignin and holocellulose spectral features, denoted by reflectance increases in the 4.0-5.5 μm region, at 6.4 μm, and between 10.0 and 14.0 μm.

TL;DR: In this paper, the relationship between soil moisture and three spectral indices: the TM5/7 ratio and the Wetness(R) and Brightness (R) features of the reflectance factor TM Tasseled Cap transformation was investigated.

TL;DR: The spectral reflectance of common boreal vascular plants is similar to that of vascular plants of the midlatitudes as discussed by the authors, but little has been reported concerning their in situ solar spectral reflectances properties.

TL;DR: In this article, a simple physically-based soil moisture model was proposed to constrain a simple soil moisture estimate using normalized 18-GHz microwave brightness temperatures, T(B), and a vegetation index determined from satellite radiometer data.