Showing papers in "Remote Sensing of Environment in 1999"

TL;DR: In this paper, a review of direct and indirect methods used to estimate leaf area index (L), fraction of absorbed photosynthetically active radiation (fAPAR), and net primary production (NPP) from remotely sensed products is presented.

TL;DR: In this paper, the potential of using ERS scatterometer data for soil moisture monitoring over the Ukraine is investigated and a simple method is developed to relate the surface estimates with the profile soil moisture content.

TL;DR: In this paper, a stepwise multiple linear regression was used to select wavelengths in the broad absorption features centered at 1.73 μm, 2.10 μm and 2.30 μm that were highly correlated with the chemistry of samples from eastern U.S. forests.

TL;DR: In this paper, a three-dimensional lock was developed to characterize the structural complexity of the forest canopy in moderate to high bioods of canopy description, which can be directly related to the indianalysis of lidar waveforms.

TL;DR: In this article, a preliminary assessment of the variability in spectral vegetation indices (SVIs) across vegetation types was made using Landsat 5 Thematic Mapper imagery from three temperate zone sites with on-site LAI measurements.

TL;DR: Schimel et al. as discussed by the authors described a blueprint for more comprehensive coordination of various flux measurement and modeling activities into a global terrestrial monitoring network that will have direct relevance to the political decision making of global change.

TL;DR: In this paper, a method of predicting two forest stand structure attributes, basal area and aboveground biomass, from measurements of forest vertical structure was developed and tested using field and remotely sensed canopy structure measurements.

TL;DR: In this article, an airborne pulsed laser developed by NASA which scans a swath of five 10-m diameter footprints along the aircraft's flightpath, captures the power of the reflected laser pulse as a function of height from the top of the canopy to the ground.

TL;DR: In this paper, a radiance calibrated nighttime lights image of the United States has been assembled from Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS).

TL;DR: In this article, a thermal microwave emission model of layered snowpacks (MEMLS) was developed for the frequency range 5-100 GHz, based on radiative transfer, using six-flux theory to describe multiple volume scattering and absorption, including radiation trapping due to total reflection and a combination of coherent and incoherent superpositions of reflections between layer interfaces.

TL;DR: In this paper, a remote sensing technique is presented to estimate the chlorophyll content in higher plants, where the ratio between chlorophyl fluorescence at 735 nm and in the range 700-710 nm, F735/F700 was found to be linearly proportional to the chlorophll content (with determination coefficient, r2, more than 0.95).

TL;DR: In this paper, the authors present a review of some of the problems facing a regional-to-global-scale validation effort and present strategies for coordinating the land-cover classification process across multiple sites.

TL;DR: In this article, a review of the various methods in use, or under development, to calibrate space-multispectral-imaging-systems in the solar-reflective range is presented.

TL;DR: In this article, the authors used a multitemporal multithreshold approach, based on the spectral changes of the land surface after a fire occurrence, to detect burned surfaces using a long-time series of low-resolution satellite data.

TL;DR: In this paper, a 16-day MODIS (MODerate resolution Imaging Spectroradiometer) vegetation index (VI) compositing algorithm and product were described, evaluated, and compared with the current AVHRR (Advanced Very High Resolution Spectromedometer) maximum value composite (MVC) approach.

TL;DR: In this paper, the effects of scaling on the retrieval of leaf area index (LAI) were investigated using image degradation experiments using a Landsat TM image, and it was shown that contextural parameters are more effective than textural parameters.

TL;DR: In this article, a computer-based approach for studying landscape-scale, long-term vegetation dynamics, using historical aerial photographs as a major data source, is described, which consists of four main steps: image scanning and preprocessing (rectification, georeferencing, spectral corrections and mosaicking), image classification and construction of vegetation maps, 3) field validation, and 4) statistical analysis of vegetation changes.

TL;DR: In this article, spectral mixture analysis was used to determine areal fractions of sunlit canopy, sunlit background, and shadow at subpixel scales for predicting biophysical variables such as biomass, LAI, and NPP.

TL;DR: In this article, a physical determination of the volume-scattering coefficients, describing the coupling between the six fluxes, is developed based on the improved Born approximation, and an exponential spatial autocorrelation function is selected.

TL;DR: In this article, a database of top of canopy BRDF (bidirectional reflectance distribution function) of homogeneous canopies was built using simulations by the SAIL, PROSPECT, and SOILSPECT radiative transfer models for a large range of input variables (LAI, mean leaf inclination angle, hot spot parameter, leaves and soil optical properties, date and latitude of observations) considering the accumulation of observations during an orbit cycle of 26 days.

TL;DR: In this article, a laboratory experiment using stacks of leaves obtained from four species of deciduous tree at various stages of senescence was conducted to evaluate the nature and strength of relationships between a number of existing and novel spectral transformations and the concentrations of pigments (per unit ground area) within the leaf stacks.

TL;DR: In this paper, the effects of both soil contamination and nitrogen application on the red edge-chlorophyll concentration relationship for a vegetation canopy were investigated for a grassland field site and a winter wheat field site.

TL;DR: In this article, the performance of six published methods for extracting relative spectral emissivity information from thermal infrared multispectral data has been evaluated using simulated data for the TIMS instrument.

TL;DR: In this article, a review of SVAT models and remote sensing estimation of energy and mass fluxes is presented, and some of the difficulties in the combined use of multispectral remote sensing data and SVM models are discussed.

TL;DR: In this paper, the authors used the dark target approach to estimate the AOD of the Landsat Thematic Mapper (TM) data and then interpolated to match the TM spatial resolution.

TL;DR: This article presents a set of techniques developed to classify land cover on a per-parcel (herein termed per-field) basis by integrating fine spatial resolution simulated satellite sensor imagery with digital vector data.

TL;DR: In this article, a theoretical analysis of the spectral properties of conifer needles was performed using a hybrid geometric/radiative transfer bidirectional reflectance distribution function FLIGHT (forest light) model.

TL;DR: In this paper, a physically based method of retrieval of leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (fAPAR) parameters from global data sets of new generation wide field of view optical satellite sensors, such as POLDER/ADEOS, VGT/SPOT4, MODIS/EOS, MISR/EOSS, MERIS/ENVISAT, and so forth.

TL;DR: This study shows that artificial neural networks are a viable alternative for global scale landcover classification due to increased accuracy and the ability to provide additional information on uncertainty.

TL;DR: Comparative analysis of various algorithms that use data from the Landsat Thematic Mapper (TM) satellite to estimate mixtures of vegetation types within forest stands concludes that the new ARTMAP mixture system produces the most accurate overall results.