Showing papers in "Remote Sensing of Environment in 2002"

TL;DR: In this paper, the authors evaluated the performance and validity of the MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index(EVI), produced at 1-km and 500-m resolutions and 16-day compositing periods.

TL;DR: It is likely that it is unlikely that a single standardized method of accuracy assessment and reporting can be identified, but some possible directions for future research that may facilitate accuracy assessment are highlighted.

TL;DR: Developing spectral indices for prediction of leaf pigment content that are relatively insensitive to species and leaf structure variation and thus could be applied in larger scale remote-sensing studies without extensive calibration are developed.

TL;DR: This product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP, and a supervised classification methodology is used that exploits a global database of training sites interpreted from high-resolution imagery in association with ancillary data.

TL;DR: The MODIS BRDF/Albedo algorithm makes use of a semi-empirical kernel-driven bidirectional reflectance model and multidate, multispectral data to provide global 1-km gridded and tiled products of the land surface every 16 days.

TL;DR: An algorithm based on the physics of radiative transfer in vegetation canopies for the retrieval of vegetation green leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FPAR) from surface reflectances was developed and implemented for operational processing prior to the launch of the moderate resolution imaging spectroradiometer (MODIS) aboard the TERRA platform in December of 1999 as discussed by the authors.

TL;DR: In this paper, a combined modeling and indices-based approach is presented to predict the crop chlorophyll content from remote sensing data while minimizing LAI (vegetation parameter) influence and underlying soil background effects.

TL;DR: A simplified land surface dryness index (TVDI) based on an empirical parameterisation of the relationship between surface temperature (Ts) and vegetation index (NDVI) is suggested in this paper.

TL;DR: In this article, the information content of reflectance spectra in visible range can be expressed by only two independent pairs of spectral bands: (1) the blue from 400 to 500 nm and the red near 670 nm; (2) the green around 550 nm; and (3) the red edge region near 700 nm.

TL;DR: In this article, the mean tree height, dominant height, mean diameter, stem number, basal area and timber volume of 144 georeferenced field sample plots were estimated from various canopy height and canopy density metrics derived by means of a small-footprint laser scanner over young and mature forest stands using regression analysis.

TL;DR: The MODIS snow product suite as mentioned in this paper consists of a 500m resolution, 2330km swath snow-cover map which is then gridded to an integerized sinusoidal grid to produce daily and 8-day composite tile products.

TL;DR: In this article, the authors provide a summary of the MODIS instrument performance and status, the data production system, the products, their status and availability for land studies, and a partnership between Science Team members and MODIS Science Data Support Team is producing data sets of unprecedented volume and number for the land research and applications.

TL;DR: In this article, the MODIS Fire Rapid Response System and a web-based mapping system for enhanced distribution are described, and the next steps for MODIS fire products are outlined and an example is given for southern Africa of how this product can be used in modeling pyrogenic emissions.

TL;DR: In this paper, the authors presented the status of land-surface temperature (LST) standard products retrieved from Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) data.

TL;DR: In this paper, the first evaluation of the MODIS surface reflectance product accuracy, in comparison with other data products and in the context of MODIS instrument performance since launch, is presented.

TL;DR: In this paper, a simple and relatively accurate technique for classifying time-series Landsat Thematic Mapper (TM) imagery to detect levels of forest harvest is the topic of this research.

TL;DR: In this article, a large-footprint airborne scanning lidar was used to recover forest structural characteristics across a spectrum of land cover types from pasture to secondary and primary tropical forests.

TL;DR: In this paper, a spectral index is used to retrieve vegetation water content from remotely sensed data in the solar spectrum domain. But the spectral index was not optimized for the SPOT-VEGETATION sensor.

TL;DR: In this article, a global network of ground control points is used to determine biases and trends in the sensor orientation for geolocation of MODIS data to approximately 150 m (1r) at nadir.

TL;DR: In this paper, a group of Canadian scientists acquired LAI measurements during the summer of 1998 in deciduous, conifer, and mixed forests, and in cropland.

TL;DR: In this paper, a regression tree algorithm is used to predict the dependent variable of tree cover based on signatures from the multitemporal metrics and a root mean square error (rmse) of 9.06% tree cover was found from the global training data set.

TL;DR: In this paper, an experimental method for determining water composition from satellite data, in visible and near-infrared (NIR) wavelengths, is applied to highly turbid waters, for suspended particulate matter (SPM) concentrations ranging between 35 and more than 2000 mg l � 1.

TL;DR: In this paper, a small-footprint airborne laser scanner was used to estimate tree height, the height from the ground surface to the tree crown, and the crown length as a proportion of tree height of individual trees.

TL;DR: In this paper, the authors investigated the possibility of estimating canopy N and lignin concentrations in chaparral vegetation using Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) reflectance acquired over an area around Point Dume in the Santa Monica Mountains (Los Angeles, CA, USA).

TL;DR: In this paper, the authors compared the ability of two linear change enhancement techniques, the Multitemporal Kauth Thomas (MKT) and multitemporal Spectral Mixture Analysis (MSMA), and two classification techniques, maximum likelihood (ML) and decision tree (DT), to accurately identify changes in vegetation cover in a southern California study area between 1990 and 1996.

TL;DR: The IKONOS 2 satellite was launched in late 1999 and carries the first commercial multispectral instrument to achieve 4 m spatial resolution as mentioned in this paper. But it was unable to discriminate 13 coral, algal, and seagrass habitats (overall accuracy 50%).

TL;DR: In this article, the relationship between the normalized soil reflectance and moisture was investigated, and it was shown that for low soil moisture levels, the reflectance decreased when the moisture increased.

TL;DR: A tree detection–delineation algorithm designed specifically for high-resolution digital imagery of 6-year-old trees is presented and rigorously evaluated, showing that tree-detection accuracy was better than that using commonly applied fixed-window local maximum filters and crown-diameter accuracy was more sensitive to image resolution.

TL;DR: In this article, a bi-directional reflectance model is inverted against multi-temporal land surface reflectance observations, providing an expectation and uncertainty of subsequent observations through time.

TL;DR: In this paper, principal component analysis (PCA) is used to find linear relationships between multitemporal images of the same area, and the satellite images are normalized radiometrically to a common scale tied to the reference radiometric levels.