Showing papers in "Remote Sensing of Environment in 2004"

TL;DR: In this article, the applicability of vegetation fraction derived from a spectral mixture model as an alternative indicator of vegetation abundance was investigated based on examination of a Landsat Enhanced Thematic Mapper Plus (ETM+) image of Indianapolis City, IN, USA, acquired on June 22, 2002.

TL;DR: In this paper, a method for minimizing the effect of leaf chlorophyll content on the prediction of green LAI was presented, and new algorithms that adequately predict the LAI of crop canopies.

TL;DR: In this article, the Savitzky-Golay filter was used to smooth out noise in NDVI time-series, specifically that caused primarily by cloud contamination and atmospheric variability.

TL;DR: In this paper, three methods to retrieve the land surface temperature (LST) from thermal infrared data supplied by band 6 of the Thematic Mapper (TM) sensor onboard the Landsat 5 satellite are compared.

TL;DR: In this paper, the potential of using satellite spectral reflectance measurements to map and monitor vegetation water content (VWC) for corn and soybean canopies was evaluated, and a method developed was used to map daily VWC for the watershed over the 1-month experiment period.

TL;DR: In this article, a satellite-based Vegetation Photosynthesis Model (VPM) was developed to estimate the seasonal dynamics and interannual variation of gross primary production (GPP) of evergreen needleleaf forests.

TL;DR: In this paper, a satellite-based Vegetation Photosynthesis Model (VPM) was developed and validated using site-specific CO2 flux and climate data from a temperate deciduous broadleaf forest at Harvard Forest, Massachusetts, USA.

TL;DR: In this paper, a review of the application of multi-temporal remote sensing for monitoring changes of Arctic tundra lands is presented, focusing on results from the National Science Foundation Land-Air-Ice Interactions (LAII) program and on optical remote sensing techniques.

TL;DR: In this article, the authors used remotely sensed images to provide synoptic maps of suspended particulate matter in coastal waters, which directly effect or govern numerous water column and benthic processes.

TL;DR: In this article, in situ measurements of LAI and fAPAR from three sites in semi-arid Senegal were carried out in 2001 and 2002 for comparison with remotely sensed MODIS data.

TL;DR: In this paper, the authors evaluated whether there is a signal in the normalized difference snow index (NDSI) that can be used to estimate the fraction of snow within a 500 m MODIS pixel and thereby enhance the use of NDSI approach in monitoring snow cover.

TL;DR: In this paper, the classification of Scots pine versus Norway spruce on an individual tree level using features extracted from airborne laser scanning data was performed. And the results demonstrated the ability to discriminate between pine and spruce using laser data.

TL;DR: In this paper, the authors used the PROSPECT model to test, calibrate, and obtain universal chlorophyll indices applicable to a wide range of species and leaf structure.

TL;DR: In this paper, the authors used image segmentation and object-based classification to monitor vegetation changes over time and found that shrub cover increased from 0.9% in 1937 to 13.1% in 2003 while grass cover declined from 18.5% to 1.9%.

TL;DR: The results illustrate the potential to direct training data acquisition strategies to target the most useful training samples to allow efficient and accurate image classification.

TL;DR: In this paper, the best hyperspectral wavebands in the study of vegetation and agricultural crops over the spectral range of 400-2500 nm were determined for four ecoregions of African savannas using a 1-nm-wide spectroradiometer.

TL;DR: In this paper, the authors used the NDVI time series (1985-1988 and 1995-1999) from the Pathfinder Advanced Very High Resolution Radiometer (AVHRR) Land (PAL) dataset, which consists of 10 days maximum NDVI composites at a spatial resolution of 8 km.

TL;DR: In this article, a normalized spectral mixture analysis (NSMA) method was developed to examine urban composition in Columbus Ohio using Landsat ETM+ data in particular, a brightness normalization method is applied to reduce brightness variation through this normalization, brightness variability within each V-I-S component is reduced or eliminated, thus allowing a single endmember representing each component.

TL;DR: In this paper, a high-resolution stand age map and a spatially explicit aboveground biomass (AGB; Mg/ha) map were generated by using remote sensing techniques with various forest management practices in Chequamegon National Forest.

TL;DR: Based on the observation of low slope angles for debris-covered glacier tongues, a multisource method for mapping supraglacial debris was developed in this paper, which combines the advantages of automated multispectral classification for clean glacier ice and vegetation with slope information derived from a digital elevation model.

TL;DR: In this article, the authors compared data on burn severity collected from multi-temporal Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) with similar data from the Enhanced Thematic Mapper Plus (ETM+) using the differenced Normalized Burn Ratio (dNBR).

TL;DR: In this article, an IKONOS Geo bundle image and a QuickBird Standard bundle image were acquired for a study area located at Punta Galeta on the Caribbean coast of Panama.

TL;DR: In this article, the authors explored the potential for using MODIS medium-resolution bands (250- and 500-m data at 469-, 555-, and 645-nm) for estuarine monitoring.

TL;DR: In this paper, the structure of the upper canopy of a forest was derived by segmenting single trees from small footprint LIDAR data and deducing their geometric properties, and a robust linear regression of 917 tree height measurements yields a slope of 0.96 with an offset of 1 m and adjusted R 2 resulting at 0.92.

TL;DR: In this article, an extensive bio-optical data set from field measurements was used to evaluate the performance of standard MODIS and Sea-viewing Wide Field-of-View Sensor (SeaWiFS) ocean color (in-water) algorithms in the Baltic Sea, which represents an example of optically complex Case 2 waters with high concentration of colored dissolved organic matter (CDOM).

TL;DR: In this paper, the impact of urbanization on the carbon cycle and food production in the US as a result of reduced net primary productivity (NPP) was quantified using satellite data and a terrestrial carbon model.

TL;DR: In this paper, the authors investigate the spectral complexity and unique spectral characteristics of urban environments using a comprehensive regional field spectral library of more than 4500 individual spectra, and their separability is systematically analyzed using the Bhattacharyya distance (B-distance) as a quantitative measure of spectral discrimination.

TL;DR: In this article, the spectral features in the red-edge region were tested as an index of plant stress responses to soil-oxygen depletion, and a warning system was proposed to identify natural gas leakage by the spectral responses of plants growing in the affected soil.

TL;DR: In this paper, an investigation of the estimation of leaf biochemistry in open tree crop canopies using high-spatial hyperspectral remote sensing imagery is presented, where different radiative transfer modelling assumptions are used to estimate the chlorophyll content of open trees.

TL;DR: In this paper, a field study was conducted in the predominantly corn and soybean area of Iowa to evaluate the applicability of the 8-day MODIS composite imagery in operational assessment of crop condition and yields.