Journal ArticleDOI
Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data
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TLDR
In this article, the problem of distinguishing between green vegetation, nonphotosynthetic vegetation (NPV), and soils in imaging-spectrometer data is addressed by analyzing an image taken by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) over the Jasper Ridge Biological Preserve (California) on September 20, 1989, using spectral mixture analysis.About:
This article is published in Remote Sensing of Environment.The article was published on 1993-05-01. It has received 641 citations till now. The article focuses on the topics: Vegetation (pathology).read more
Citations
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Journal ArticleDOI
A survey of image classification methods and techniques for improving classification performance
Dengsheng Lu,Qihao Weng +1 more
TL;DR: It is suggested that designing a suitable image‐processing procedure is a prerequisite for a successful classification of remotely sensed data into a thematic map and the selection of a suitable classification method is especially significant for improving classification accuracy.
Book
Remote sensing, models, and methods for image processing
TL;DR: The Nature of Remote Sensing: Introduction, Sensor Characteristics and Spectral Stastistics, and Spatial Transforms: Introduction.
Journal Article
Spectral unmixing
Nirmal Keshava,John F. Mustard +1 more
TL;DR: The outputs of spectral unmixing, endmember, and abundance estimates are important for identifying the material composition of mixtures and the applicability of models and techniques is highly dependent on the variety of circumstances and factors that give rise to mixed pixels.
Journal ArticleDOI
Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models
Dar A. Roberts,Margaret E. Gardner,Richard L. Church,Susan L. Ustin,G. Scheer,Robert O. Green,Robert O. Green +6 more
TL;DR: In this article, a study was initiated in the Santa Monica Mountains to investigate the use of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) for providing improved maps of chaparral coupled with direct estimates of canopy attributes (eg. biomass, leaf area, fuel load).
Journal ArticleDOI
Biophysical and Biochemical Sources of Variability in Canopy Reflectance
TL;DR: In this article, a combination of field and modeling techniques were used to quantify the relative contribution of leaf, stem, and litter optical properties (incorporating known variation in foliar biochemical properties) and canopy structural attributes to nadir-viewed vegetation reflectance data.
References
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Journal ArticleDOI
Spectral signatures of particulate minerals in the visible and near infrared
TL;DR: The utility of multispectral remote sensing techniques for discriminating among materials is based on the differences that exist among their spectral properties as distinct from spectral variations that occur as a consequence of target condition and environmental factors, intrinsic spectral features that appear in the form of bands and slopes in the visible and near infrared (325 to 25 μm) bidirectional reflection spectra of minerals as mentioned in this paper.
Journal ArticleDOI
Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 Site
TL;DR: In this paper, a multispectral image was modeled as mixtures of reflectance spectra of palagonite dust, gray andesitelike rock, and a coarse rock-like soil.
Spectral mixture modeling - A new analysis of rock and soil types at the Viking Lander 1 site. [on Mars]
TL;DR: In this paper, a multispectral image was modeled as mixtures of reflectance spectra of palagonite dust, gray andesitelike rock, and a coarse rock-like soil.
Journal ArticleDOI
Vegetation in deserts: I. A regional measure of abundance from multispectral images
TL;DR: In this article, a method was tested in the semiarid Owens Valley, California for measuring sparse vegetation cover using Landsat Thematic Mapper (TM) multispectral images, where fractions of vegetation, soils, and shading and shadow within the smallest resolution elements (30 × 30 m pixels) were computed by applying a mixing model based on laboratory and field reference spectra.
Journal ArticleDOI
The airborne visible/infrared imaging spectrometer (AVIRIS)
Gregg Vane,Robert O. Green,Thomas G. Chrien,Harry T. Enmark,Earl G. Hansen,Wallace M. Porter +5 more
TL;DR: The AVIRIS system as mentioned in this paper is a full-time system consisting of a flight system, a ground data system, and a calibration facility, which operates year round at NASA's Jet Propulsion Laboratory (JPL).