8 April 2013 Remote sensing-based determination of understory grass greening stage over boreal forest
Quazi K. Hassan, K. Mahmud Rahman
Author Affiliations +
Abstract
Our objective was the determination of understory grass greening stage (GGS: defined as the date when 75% of the grass in the surrounding area of a particular location would be green) using remote sensing data over the boreal-dominant forested regions in the Canadian province of Alberta. We used moderate resolution imaging spectroradiometer (MODIS)-derived accumulated growing degree days (AGDD) and normalized difference water index (NDWI) with ground-based understory GGS observations at approximately 120 lookout tower sites during the period 2006 to 2008. During 2006, we extracted the temporal dynamics of AGDD/NDWI at the lookout tower sites and determined the best thresholds (i.e., 90 degree-days for AGDD and 0.45 for NDWI). These AGDD/NDWI thresholds were then implemented during 2007 and 2008; and observed that AGDD had better prediction capabilities in comparison to NDWI (i.e., ∼94% and ∼65% of the incidents fall within ±2  periods or ±16 days of deviations with the ground-based understory GGS observations using AGDD and NDWI thresholds, respectively). The outcomes would potentially be useful in understanding availability of food and habitat for wildlife species/animals; microclimatic environment, composition, and diversity of plant community; and forest fire danger and fire behavior in case of fire occurrences.
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Quazi K. Hassan and K. Mahmud Rahman "Remote sensing-based determination of understory grass greening stage over boreal forest," Journal of Applied Remote Sensing 7(1), 073578 (8 April 2013). https://doi.org/10.1117/1.JRS.7.073578
Published: 8 April 2013
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Cited by 8 scholarly publications.
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KEYWORDS
Vegetation

Image resolution

Calibration

Composites

Data acquisition

MODIS

Reflectivity

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