Showing papers in "Remote Sensing of Environment in 2000"

TL;DR: In this paper, a wide range of leaf chlorophyll levels were established in field-grown corn (Zea mays L.) with the application of 8 N levels: 0, 12.5%, 25, 50, 75, 100, 125, and 150% of the recommended rate.

TL;DR: In this paper, the authors present a cloud-screening algorithm for ground-based sun-photometer measurements of aerosol optical depth in the Aerosol Robotic Network (AERONET).

TL;DR: In this article, three types of hyperspectral predictors were tested: optimum multiple narrow band reflectance (OMNBR), narrow band normalized difference vegetation index (NDVI), and the soil-adjusted vegetation indices.

TL;DR: In this paper, the authors extracted pure vegetation spectra from a set of open and closed canopies by unmixing the green vegetation signal from the background component and derived a "true" vegetation signal, equivalent to a perfect absorber (free boundary) canopy background reflectance condition.

TL;DR: In this article, the precision and accuracy of Spectral Mixture Analysis (SMA) and Normalized Difference Vegetation Index (NDVI) applied to Landsat TM data, are assessed quantitatively using high-precision in situ data.

TL;DR: In this article, four one-dimensional radiative transfer models are compared in direct and inverse modes on synthetic reflectance spectra (10 wavelengths in the visible and near-infrared).

TL;DR: In this article, the authors investigated the use of local maximum (LM) filtering to locate trees on high spatial resolution (1-m) imagery, in terms of commission error (falsely indicated trees) and omission error (missed trees).

TL;DR: In this article, the authors developed an automated spectral unmixing approach based on a comprehensive analysis of vegetation and soil spectral variability resulting from biogeophysical variation in arid and semi-arid regions.

TL;DR: In this paper, the authors presented a simple, practical method to separate the water column reflectance from the total reflectance at 765 nm and 865 nm by using the nearest neighbor method.

TL;DR: In this article, an empirical SWIR modification to the simple ratio vegetation index, termed the reduced simple ratio (RSR), has the potential to unify deciduous and conifer species in LAI retrieval, showing an improved correlation with LAI in individual jack pine and black spruce canopies.

TL;DR: In this paper, a robust, accurate inversion technique was developed for estimating the grain size in a snowpack's surface layer from imaging spectrometer data. But the method is insensitive to instrument noise and does not require a topographic correction.

TL;DR: A hybrid segmentation procedure to integrate contextual information with per- pixel classification in a metropolitan area land cover classification project is described and evaluated, resulting in a more attractive classification map compared to traditional per-pixel maximum likelihood classification results.

TL;DR: In this article, a hybrid approach for boreal burned area mapping called HANDS, or hotspot and NDVI differencing synergy, is presented, which uses satellite data covering Canada for the 1995 and 1996 fire seasons.

TL;DR: In this article, the ability of hyperspectral reflectance data to estimate canopy relative water content (RWC) at the landscape level was assessed using a stepwise multiple regression.

TL;DR: In this article, the spectral reflectance (0.4-2.5 μm) of wet and dry soils (six types) and plant litters (2 crops, 14 forest, and 2 grasses) of different ages were measured.

TL;DR: In this article, a series of laboratory measurements of spectral reflectance and transmittance of individual leaves and from a modeling study are presented which demonstrate that effects of natural chlorophyll fluorescence (CF) are observable in the red edge spectral region.

TL;DR: Three variants of decision tree classifiers, a standard decision tree implemented in C5.0 and two techniques recently proposed in the machine learning literature known as “bagging” and “boosting" are applied, illustrating that the choice of the most suitable algorithm requires consideration of a suite of criteria in addition to the traditional accuracy measures.

TL;DR: In this paper, a multitemporal data sets of the LISS-III sensor mounted on the Indian Remote Sensing Satellite (IRS-1C) and field reflectance spectra have been evaluated for estimating chlorophyll-a content in lakes.

TL;DR: In this paper, satellite radar altimetry and near-infrared imagery are employed to gain knowledge of the current flooding patterns, showing that the local population has learned to adapt to the reduced seasonal inundation of the lake basin but are vulnerable to both droughts and excessive inflows.

TL;DR: In this paper, a linear mixture model based on calibrated, atmospherically corrected Probe-1 hyperspectral imagery was compared with three vegetation indices to test its relative ability to measure small differences in percent green vegetative cover for areas of sparse vegetation in arid environments.

TL;DR: In this article, the authors used a Dycam Agricultural Digital Camera (ADC), a LI-COR LAI-2000 plant canopy analyzer, a Decagon sunfleck Ceptometer, and a laser altimeter.

TL;DR: In this paper, a modified version of the forest reflectance model by Nilson and Peterson has been extensively modified to simulate both the reflectance spectrum and angular distribution in the spectral region 400-2500 nm with the same set of input parameters.

TL;DR: In this paper, a fluorimeter built at Orsay allowed measuring at a distance of up to 6 m both the steady-state and the maximum chlorophyll fluorescence of a potted grapevine.

TL;DR: In this article, the authors quantified the absolute and relative importance of tissue, canopy, and landscape factors that drive pixel-level shortwave reflectance variation along a land-cover gradient in the Chihuahuan Desert, New Mexico.

TL;DR: In this paper, a watershed hydrological index was derived from ERS/SAR measurements, based on the selection of land cover types or targets, for which the SAR signal is mainly sensitive to soil water content variations, and for which vegetation and the roughness effects (in SAR signal) can be estimated and removed if needed.

TL;DR: In this paper, the relationship at the leaf level between leaf reflectance and chlorophyll fluorescence was found and demonstrated to be consistent with theory using the Fluorescence-Reflectance-Transmittance (FRT) model.

TL;DR: In this article, an L-band 2-D microwave interferometric radiometer for monitoring surface variables over land surfaces is discussed. But the authors focus on the retrieval capabilities of the satellite for monitoring soil moisture, vegetation biomass, and surface temperature.

TL;DR: This study presents a strategy that combines BRDF models and conventional LAI-SVI approaches to circumvent limitations of these approaches and suggested that the proposed approach produced reasonable estimates of leaf area index over large areas in semiarid regions.

TL;DR: In this article, a sequence of 11-year monthly Advanced Very High Resolution Radiometer (AVHRR)-derived normalized difference vegetation index (NDVI) data from 1982 to 1992 is examined to study the vegetation and climate variation trends over the United States.

TL;DR: In this article, the authors observed the evolution of upwelling along the western coast of the South China Sea (SCS) using satellite IR images taken in 1996 and 1997 summer at the HRPT (High Resolution Picture Transmission) receiving station built on Tai-Ping Island, which is located in the central SCS.