Showing papers in "Remote Sensing of Environment in 2003"

TL;DR: In this article, a new methodology to monitor global vegetation phenology from time series of satellite data is presented, which uses series of piecewise logistic functions, which are fit to remotely sensed vegetation index (VI) data, to represent intra-annual vegetation dynamics.

TL;DR: In this article, the authors review the use of thermal remote sensing in the study of urban climates, focusing primarily on the urban heat island effect and progress made towards answering the methodological questions posed by Roth et al.

TL;DR: An improved replacement detection algorithm is presented that offers increased sensitivity to smaller, cooler fires as well as a significantly lower false alarm rate.

TL;DR: The results indicate that the performance of the univariate DT is acceptably good in comparison with that of other classifiers, except with high-dimensional data, and the use of attribute selection methods does not appear to be justified in terms of accuracy increases.

TL;DR: In this paper, a linear regression analysis of hyperspectral reflectance (438 to 884 nm) data was performed on five different growth stages of winter wheat in a field experiment, including two cultivars, three plant densities, and four levels of N application.

TL;DR: The combined approach using remote sensing, spatial metrics and urban modeling is powerful, and may prove a productive new direction for the improved understanding, representation and modeling of the spatiotemporal forms due to the process of urbanization.

TL;DR: In this article, the authors reviewed various sensors (e.g., aerial photographs, satellite and airborne multispectral sensors, microwave sensors, video imagery, airborne geophysics, hyperspectral sensor, and electromagnetic induction meters) and approaches used for remote identification and mapping of salt-affected areas.

TL;DR: In this article, the authors estimate the distribution of impervious surface, a major component of the vegetation-impervious surface-soil (V-I-S) model, through a fully constrained linear spectral mixture model using Landsat Enhanced Thematic Mapper Plus (ETM+) data within the metropolitan area of Columbus, OH.

TL;DR: The relationship between vegetation vigor and moisture availability, however, is complex and has not been adequately studied with satellite sensor data as mentioned in this paper, however, an analysis was conducted on time series of monthly NDVI (1989-2000) during the growing season in the north and central U.S. Great Plains.

TL;DR: In this article, an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image of the Mountain Pass, California area indicates that several important lithologic groups can be mapped in areas with good exposure by using spectral matching techniques.

TL;DR: In this paper, the use of prior information to reduce the uncertainties associated to the estimation of canopy biophysical variables in the radiative transfer model inversion process was investigated, and the results showed that the prior information significantly improves the accuracy of the estimation.

TL;DR: In this paper, the authors investigated whether vegetation associations can be differentiated using hyperspectral reflectance in the visible to shortwave infrared spectral range, and how well species can be separated based on their spectra.

TL;DR: In this paper, the authors investigated the transferability of predictive relations for the estimation of tropical forest biomass from Landsat TM data between sites in Brazil, Malaysia and Thailand using three types of predictive relation, based on vegetation indices, multiple regression and feed forward neural networks, were developed for biomass estimation at each site.

TL;DR: In this article, the authors used L-band synthetic aperture radar (SAR) imagery acquired by the Japanese Earth Resources Satellite-1 to map the central Amazon region and produce the first high-resolution wetlands map for the region.

TL;DR: In this article, the authors measured a wide range of species to determine the influence of variable tissue morphologies and canopy structures on the relationship between water spectral reflectance and vegetation properties.

TL;DR: In this paper, the applicability of radiative transfer model inversion methods to MODIS-equivalent synthetic spectra with random input variables to test different inversion assumptions is investigated, investigating its spectral capability for water content estimation.

TL;DR: Growth of the surface temperature urban heat island (UHI) of Houston, TX is determined by comparing two sets of heat island measurements taken 12 years apart as discussed by the authors, which reveals a mean growth in magnitude of 0.8 K, or 35%.

TL;DR: In this article, the relationship between vegetation indices and radiometric surface temperature for estimating model parameters used in computing spatially distributed fluxes and available moisture is exploited in a disaggregation procedure for estimating subpixel variation in surface temperature with aircraft imagery collected over the US Southern Great Plains.

TL;DR: In this article, an alternative method for the remote determination of the fire radiative energy (FRE) was proposed based on analysis of fire pixel radiances in the middle infrared spectral region.

TL;DR: In this paper, a method of selecting endmembers from a spectral library for use in multiple endmember spectral mixture analysis (MESMA) was presented, which was used to map land cover in the Santa Ynez Mountains above Santa Barbara, CA, USA.

TL;DR: In this article, the authors compared three different regression models to predict the leaf area index (LAI) for an agro-ecosystem and live tree canopy cover for a needleleaf evergreen boreal forest.

TL;DR: In this paper, leaf-off individual trees in a deciduous forest in the eastern USA were detected and analyzed in small footprint, high sampling density lidar data, using a SAAB TopEye laser profiling system, with a sampling density of approximately 12 returns per square meter.

TL;DR: In this article, the potential of high-resolution IKONOS and QuickBird satellite imagery for mapping and analysis of land and water resources at local scales in Minnesota is assessed in a series of three applications.

TL;DR: In this article, the authors evaluated three different methods of processing hyperspectral imagery: minimum noise fraction (MNF), continuum removal, and band ratio indices for mapping iceplant (Carpobrotus edulis) and jubata grass (Cortaderia jubaata) in California's coastal habitat.

TL;DR: In this article, the HELIOSAT method applied to derive surface solar irradiance from satellite images is described and shown examples of applications: the use of daylight in buildings, the generation of correlated time series of solar irradiances and temperature as input data for simulations of solar energy systems and a short-term forecast of sun irradiance which can be used in intelligent building control techniques.

TL;DR: In this paper, two different configurations of a shortwave infrared water stress index (SIWSI) are derived from the MODIS near and short-wave infrared data, which are compared to in situ top layer soil moisture measurements from the semiarid Senegal 2001 and 2002, serving as an indicator of canopy water content.

TL;DR: In this paper, the relation between satellite measurements of the normalized difference vegetation index (NDVI), cumulated over the growing season, and inventory estimates of forest woody biomass carbon is estimated statistically with data from 167 provinces and states in six countries (Canada, Finland, Norway, Russia and the USA for a single time period and Sweden for two periods).

TL;DR: Farmers and ranchers in rural areas were connected via wide-bandwidth satellite link to a central distribution center at the University of North Dakota and participated actively in evaluating the usefulness of inputs derived from remotely sensed data, sometimes even by conducting experiments on fertilizer and fungicide applications and assessing the economic benefits.

TL;DR: In this paper, the authors developed an urban growth model, which is based on land cover derived from remotely sensed satellite imagery, determines the geographic extent, patterns, and classes of urban growth over time.

TL;DR: In this article, IKONOS images of different coral reef sites distributed around the world were processed to assess the potential of 4-m resolution multispectral data for coral reef habitat mapping.