Showing papers in "Remote Sensing of Environment in 1997"

TL;DR: In this paper, a simple radiative transfer model with vegetation, soil, and atmospheric components is used to illustrate how the normalized difference vegetation index (NDVI), leaf area index (LAI), and fractional vegetation cover are dependent.

TL;DR: In this paper, a set of Landsat Thematic Mapper images representing a wide range of vegetation conditions from the NASA Landsat Pathfinder, global land cover test site (GLCTS) initiative were processed to simulate the Moderate Resolution Imaging Spectroradiometer (MODIS), global vegetation index imagery at 250 m pixel size resolution.

TL;DR: Characteristics of some commonly used accuracy measures are described, and relationships among these measures are provided to aid the user in choosing an appropriate measure.

TL;DR: This work presents several types of decision tree classification algorithms and shows that decision trees have several advantages for remote sensing applications by virtue of their relatively simple, explicit, and intuitive classification structure.

TL;DR: It is found that both aircraft- and satellite-based re-trote sensing could provide valuable information for PCM applications, and future work should be focused on assimilating remotely sensed information into existing decision support systems (DSS), and conducting economic and technical analysis of remote sensing applications with season-long pilot projects.

TL;DR: In this article, the authors present an operational two-source (soil+vegetation) model for evaluating the surface energy balance given measurements of the time rate of change in radiometric surface temperature (TRAD) during the morning hours.

TL;DR: In this paper, a thresholding technique was used to convert a prototype "city lights" data set from the National Oceanic and Atmospheric Administration's National Geophysical Data Center (NOAAINGDC) into a map of "urban areas" for the continental United States.

TL;DR: The stand volumes of 36 Norway spruce (Pieea abies Karst) and Scots pine (Pinus sylvestris L.) stands were derived from various tree canopy height metrics and canopy cover density measured by means of an airborne laser scanner as mentioned in this paper.

TL;DR: In this paper, the authors explore a methodology for estimating air temperature directly from remotely sensed observations using the observed correlation between a spectral vegetation index and surface temperature (temperature-vegetation index).

TL;DR: In this article, a panel of 16 scientists met to review the utility of SAR data for monitoring ecosystem processes and found that the demonstrated capabilities of imaging radars for investigating terrestrial ecosystems could best be organized into four broad categories: classification and detection of change in land cover; estimation of woody plant biomass; monitoring the extent and timing of inundation; and monitoring other temporally-dynamic processes.

TL;DR: A boreal ecosystems productivity simulator (BEPS) was developed at the Canada Centre for Remote Sensing to assist in natural resources management and to estimate the carbon budget over Canadian landmass (106-107 km2).

TL;DR: In this paper, the authors compared the performance of the NASA Team algorithm and the Bootstrap algorithm for deriving ice concentrations from multichannel data using different channel combinations, reference brightness temperatures, weather filters, and techniques to evaluate the sensitivity of algorithm results to variations of emissivity and temperature with space and time.

TL;DR: In this article, the authors investigated the reflectance spectra of organic matter in the VIS-NIR-SWIR regions (400-2500 nm) with regard to possible changes that might occur during a biological decomposition process.

TL;DR: In this article, the authors used the constrained energy minimization (CEM) technique to map the ferruginous sediments, which on a pixel-by-pixel basis maximizes the response of the target signature and suppresses the responses of undesired background signatures.

TL;DR: In this paper, the spectral endmembers are derived from the image data subject to a set of user-defined constraints, which are applied to the basic mixing equations, and then solved iteratively to derive a subset of spectral end members that can be used to solve the residual error.

TL;DR: In this paper, a remote sensing-based technique for land-cover change analysis was applied to the African continent for the last decade and the results demonstrate that inte-rannual landcover changes in Africa mostly involve erratic variations in land-corer conditions due to interannual climatic variability and temporary nwdifncations in seasonality.

TL;DR: In this paper, the impact of changes in spectral bandwidth and spatial scale on NDVI derived from Airborne Visiblel Infrared Imaging Spectrometer (AVIRIS) data acquired at 20m resolution over a forested region in southeastern British Columbia was analyzed.

TL;DR: In this article, the utility of Landsat-5 Thematic Mapper (TM) data for accurately estimating the leaf area index (LAI) of conifer, hardwood, and mixed conifer-hardwood forests in north central Wisconsin was explored.

TL;DR: The relationship between mean backscattering coefficient, as measured by spaeebome SAR instruments, and the areal density of above-ground biomass in regenerating tropical forest was investigated for a study area in the central Amazon basin this article.

TL;DR: In this article, the authors apply Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data to the monitoring of seasonal changes in atinospheric water vapor, liquid water, and surface cover in the vicinity of the Jasper Ridge, CA, for three dates in 1992.

TL;DR: In this article, the authors developed separate passive microwave snow algorithms for North America and Eurasia by including parameters that consider the effects of variations in forest cover and crystal size on microwave brightness temperature.

TL;DR: In this paper, night-time "city light" footprints derived from DMSP/OLS satellite images were merged with census data and a digital soil map in a continental-scale test of a remote sensing and geographic information system methodology for approximating the extent of built-up land and its potential impact on soil resources in the United States.

TL;DR: ABC3 as discussed by the authors is a series of operations and algorithms that would identify and remove as many of these artifacts as possible, including atmospheric corrections, identification of pixels contaminated by clouds, snow, and shadows from optically thick clouds; bidirectional reflectance and thermal emissivity corrections; and replacement of the contaminated pixels in the composites through interpolation.

TL;DR: In this article, the two variants of the box method (with one and two lids) have been rigorously analyzed and a correction factor that takes into account the nonideality of the materials used for the box, as well as its geometry, has been derived.

TL;DR: In this paper, an artificial neural network algorithm was assessed for the identification of six conifer tree species using hyperspectral data measured above sunlit and shaded sides of canopies using a high spectral resolution radiometer.

TL;DR: In this paper, a clear-sky surface-temperature retrieval algorithm for rise with the Advanced Very High Resolution Radiometer (AVHRR) and the Along Track Scanning Radiometry (ATSR) for the Arctic and the Antarctic, over ocean and land, is presented.

TL;DR: In this article, the recovery process after fire by means of satellite imagery is monitored by using a normalized difference vegetation index (NDVI) for each date and a nonlinear regression.

TL;DR: In this article, the use of the well-documented ratio of near-infrared (NIR; 705 nm) to red (670 nm) reflectance in estimating chlorophyll content in a relatively turbid midwestern reservoir was investigated.

TL;DR: In this article, a comparison and synergy between the two techniques is discussed, showing that the Landsat TM data identify deforested areas better but provide less information on residual woody biomass levels.

TL;DR: In this article, seasonal changes in polarimetric backscatter magnitude (HH, VV, and CS) and phase [βH-V phase differenceβ=PD] were extracted for a stable evergreen mangrove forest calibration site, which confirmed that the absolute calibration of the Yucatan imagery exceeded the SIR-C system calibration.