Evaluation of precipitation-vegetation interaction on a climate-sensitive landscape using vegetation indices

Zsuzsanna Ladanyi; Janos Rakonczai; Boudewijn van Leeuwen

doi:10.1117/1.3576115

1 January 2011 Evaluation of precipitation-vegetation interaction on a climate-sensitive landscape using vegetation indices

Zsuzsanna Ladanyi, Janos Rakonczai, Boudewijn van Leeuwen

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 5, Issue 1, 053519 (January 2011). https://doi.org/10.1117/1.3576115

Abstract

Many places in the world show spectacular landscape changes caused by increasingly rapid alterations of natural phenomena observed in the last 3 to 4 decades. More and more studies reveal the consequences of global climate change strengthened by anthropogenic effects. The cause of rapid changes in the landscape is often due to the alteration of the natural water-cycle. Using moderate resolution imaging spectoradiometer vegetation indices, this study analyzed the relationship between biomass and precipitation, being one of the most important climate elements, over a Hungarian landscape that has been highly affected by the process of groundwater-table sinking in the last decades. Research proved that the reasons for this decrease are mainly the precipitation shortage due to climate change and to a much smaller extent, anthropogenic effects. In the forests of the study area, the annual distribution of precipitation proved to be an important factor, and the biomass produced by forests is influenced by the precipitation over a shorter interval-compared to less sensitive landscapes. Under increasing aridification, further degradation of vegetation can be expected as has already been observed during drier periods in the case of tree species with high water demand.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Zsuzsanna Ladanyi, Janos Rakonczai, and Boudewijn van Leeuwen "Evaluation of precipitation-vegetation interaction on a climate-sensitive landscape using vegetation indices," Journal of Applied Remote Sensing 5(1), 053519 (1 January 2011). https://doi.org/10.1117/1.3576115

Published: 1 January 2011

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