Global vegetation monitoring through multitemporal analysis of pathfinder AVHRR land database

Yves Julien; José Antonio Sobrino; Malena Zaragoza; Juan Cuenca; Mónica Gómez; Juan-Carlos Jiménez-Muñoz; Mireia Romaguera; Qingfeng Shen; Guillem Sòria

doi:10.1117/12.626809

19 October 2005 Global vegetation monitoring through multitemporal analysis of pathfinder AVHRR land database

Yves Julien, José Antonio Sobrino, Malena Zaragoza, Juan Cuenca, Mónica Gómez, Juan-Carlos Jiménez-Muñoz, Mireia Romaguera, Qingfeng Shen, Guillem Sòria

Author Affiliations +

Proceedings Volume 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII; 59761F (2005) https://doi.org/10.1117/12.626809
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

We have applied a Land Surface Temperature algorithm to the whole Pathfinder AVHRR Land (PAL) database, aiming at studying the evolution of the vegetation at a global scale. The Land Surface Temperature parameter, along with NDVI, will allow retrieving vegetation changes between July 1981 and September 2001. We have also built a classification which takes into account both vegetation variations and thermal patterns, from NDVI and Air Temperature at 2 meters height data. This classification allows differentiating areas which present close vegetation changes throughout the year, but totally different climates, as for example in mountainous and semiarid regions. The main quality of this classification is that it does not need any a priori information on the encountered vegetation, and thus can evolve from year to year. Through the 20 years of data, the evolution of Land Surface Temperature shows to be strongly affected by orbital drift and satellite changes. This will require an adequate correction to allow deeper study. On the other hand, NDVI does not show this trend, but aerosol absorption from Mount Pinatubo's eruption in June 1991 seems to corrupt temporarily the data in the northern hemisphere.

Citation Download Citation

Yves Julien, José Antonio Sobrino, Malena Zaragoza, Juan Cuenca, Mónica Gómez, Juan-Carlos Jiménez-Muñoz, Mireia Romaguera, Qingfeng Shen, and Guillem Sòria "Global vegetation monitoring through multitemporal analysis of pathfinder AVHRR land database", Proc. SPIE 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, 59761F (19 October 2005); https://doi.org/10.1117/12.626809

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Vegetation

Databases

Image classification

Satellites

Algorithm development

Aerosols

Climate change

Show All Keywords

Keywords/Phrases

Search In:

Publication Years