Unmixing of Aviris Hyperspectral Data from Dixie Valley, Nevada
نویسنده
چکیده
The high temperature hydrothermal convection system underlying northwestern Dixie Valley, Nevada, is probably responsible for the development of certain geobotanical anomalies in the area. A large “die-off’ of Bailey’s greasewood (Sarcobatus baileyi) has been observed over the last several months and appears to be related to activity that preceded the appearance of a new fumarole. AVIRIS (Advanced Visible and Infrared Imaging Spectrometer) airborne hyperspectral data was acquired for this area in May 1995, several months before the die-off was first recognized. Analysis of hyperspectral remote sensing data using polytopic vector analysis has resulted in the characterization of vegetal-spectral anomalies in the area of the die-off. Four spectral “fingerprints” were resolved and mapped. One of the four appear related to the S. baileyi die-off. Its spectrum closely matches spectra of healthy S. bailey. EM-1 was largely absent in the present area of the die-off at the time of the AVIRS image was collected. The fact that the analyzed AVIRIS image was taken months before the die-off was observed in the field suggests that spectral unmixing may prove an effective tool in anticipation of vegetative stress.
منابع مشابه
Soil Mineralogy Anomaly Detection in Dixie Valley, Nevada Using Hyperspectral Data
Anomalous soil mineralogy can indicate buried geologic structures and zones of permeability. Hyperspectral data can be used to map these anomalies in geothermal exploration efforts. This paper describes work done at Dixie Valley, Nevada, in this regard. Dixie Valley, which lies in the Great Basin, west-central Nevada, is host to a structurally controlled deep-circulation geothermal system. Cait...
متن کاملLand Cover Subpixel Change Detection using Hyperspectral Images Based on Spectral Unmixing and Post-processing
The earth is continually being influenced by some actions such as flood, tornado and human artificial activities. This process causes the changes in land cover type. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. Today’s remote sensing plays key role in geology and environmental monitoring by its high resolution, wide covering and low cost...
متن کاملComparison of Approaches for Determining End-members in Hyperspectral Data
1 0-7803-5846-5/00/$10.00 © 2000 IEEE 2 Research performed at Technical Research Associates, Inc. Abstract—A very useful analysis approach for hyperspectral data has been linear unmixing which is a projection into a coordinate system where the coordinates are the constituent or endmember spectra of the scene. The most useful technique is to determine the spectra from the image. Once these spect...
متن کاملA New Tool for Evaluating Spectral Unmixing Applications for Remotely Sensed Hyperspectral Image Analysis
Hyperspectral imaging is a new technique in remote sensing that collects hundreds of images, at different wavelength values, for the same area in the surface of the Earth. For instance, the Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) instrument operated by NASAs Jet Propulsion Laboratory collects 224 spectral channels in the wavelength range from 40 to 250 nanometers using narrow s...
متن کاملجداسازی طیفی و مکانی تصاویر ابرطیفی با استفاده از Semi-NMF و تبدیل PCA
Unmixing of remote-sensing data using nonnegative matrix factorization has been considered recently. To improve performance, additional constraints are added to the cost function. The main challenge is to introduce constraints that lead to better results for unmixing. Correlation between bands of Hyperspectral images is the problem that is paid less attention to it in the unmixing algorithms. I...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003