NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystemsMultiyear trends in Normalized Difference Vegetation Index (NDVI) have been
used as metrics of high latitude ecosystem change based on the assumption that NDVI change is associated with ecological change, generally as changes in green vegetation amount (green leaf area index [LAI] or plant cover). Further, no change in NDVI is often interpreted as no change in these variables. Three canopy reflectance models including linear mixture model, the SAIL (Scattering from Arbitrarily Inclined Leaves) model, and the GeoSail model were used to simulate scenarios representing high latitude landscape NDVI responses to changes in LAI and plant cover. The simulations showed inconsistent NDVI responses. Clear increases in NDVI are generally associated with increases in LAI and plant cover. At higher values of LAI, the change in NDVI per unit change in LAI decreases, with very little change in spruce forest NDVI where crown cover is >50% and at the tundra–taiga ecotone with transitions from shrub tundra to spruce woodland. These lower responses may bias the interpretation of greening/browning trends in boreal forests. Variations in water or snow coverage were shown to produce outsized nonbiological NDVI responses. Inconsistencies in NDVI responses exemplify the need for care in the interpretation of NDVI change as a metric of high latitude ecosystem change, and that landscape characteristics in terms of the type of cover and its characteristics, such as the initial plant cover, must be taken into account in evaluating the significance of any observed NDVI trends.
Document ID
20210026891
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Karl F Huemmrich
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Sergio Vargas Zesati
(The University of Texas at El Paso El Paso, Texas, United States)
Petya Campbell
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Craig Tweedie
(The University of Texas at El Paso El Paso, Texas, United States)
Date Acquired
January 13, 2022
Publication Date
August 9, 2021
Publication Information
Publication: Ecological Applications
Publisher: Ecological Society of America / Wiley
Volume: 31
Issue: 8
Issue Publication Date: December 1, 2021
ISSN: 1051-0761
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNX15AT34A
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
No Preview Available