Direct gradient analysis as a new tool for interpretation of hyperspectral remote sensing data: application to HYMAP/DAISEX-99 data

Maria Carmen Gonzalez-Sampedro; Robert John Zomer; Luis Alonso-Chorda; Jose F. Moreno; Susan L. Ustin

doi:10.1117/12.413950

23 January 2001 Direct gradient analysis as a new tool for interpretation of hyperspectral remote sensing data: application to HYMAP/DAISEX-99 data

Maria Carmen Gonzalez-Sampedro, Robert John Zomer, Luis Alonso-Chorda, Jose F. Moreno, Susan L. Ustin

Author Affiliations +

Proceedings Volume 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II; (2001) https://doi.org/10.1117/12.413950
Event: Europto Remote Sensing, 2000, Barcelona, Spain

Abstract

Direct gradient analysis, and other canonical community ordination techniques, have been most commonly used by plant ecologists and others attempting to analyse complex multivariate datasets. These multivariate statistical techniques can be applied to a variety of spectral analyses. Particularly useful is the ability to test significance of environmental variables based upon Monte Carlo permutations, allowing for a step-wise model of variance to be built. This technique has been now applied to hyperspectral remotely sensed data, within the overall context of ESA DAISEX-99 experiment. An extensive field campaign in La-Mancha (Spain) was carried out, simultaneously with the overflight of two airborne imaging spectrometers (DAIS, HYMAP) and other sensors (POLDER, LEANDRE).We use in this work data from the 128-channels HYMAP imaging spectrometer jointly with the ground truth data. Direct gradient analysis of the imagery spectra indicated an overall statistical significance when a model based upon three variables was used. Leaf moisture, LAI, and total chlorophyll were the most highly correlated variables, and all demonstrated statistically significant p-values. Hyperspectral remote sensing data requires new techniques to analyse the increasingly complex data. Application of ordination techniques, although not commonly applied within the remote sensing data processing, show good perspectives for more in depth analysis of the whole DAISEX-99 dataset.

Citation Download Citation

Maria Carmen Gonzalez-Sampedro, Robert John Zomer, Luis Alonso-Chorda, Jose F. Moreno, and Susan L. Ustin "Direct gradient analysis as a new tool for interpretation of hyperspectral remote sensing data: application to HYMAP/DAISEX-99 data", Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); https://doi.org/10.1117/12.413950

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available