Next Article in Journal
Evaluating Principal Components Analysis for Identifying Optimal Bands Using Wetland Hyperspectral Measurements From the Great Lakes, USA
Next Article in Special Issue
Mapping Invasive Tamarisk (Tamarix): A Comparison of Single-Scene and Time-Series Analyses of Remotely Sensed Data
Previous Article in Journal
Operational Ship Monitoring System Based on Synthetic Aperture Radar Processing
Previous Article in Special Issue
Remote Sensing and Mapping of Tamarisk along the Colorado River, USA: A Comparative Use of Summer-Acquired Hyperion, Thematic Mapper and QuickBird Data
Open AccessArticle

Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods

1
Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, 2500 University Dr. NW, Calgary, Alberta, T2N 1N4, Canada
2
Faculty of Forestry and Environmental Management, University of New Brunswick, P.O. Box 44555, Fredericton, New Brunswick, E3B 6C2, Canada
*
Author to whom correspondence should be addressed.
Remote Sens. 2009, 1(3), 393-407; https://doi.org/10.3390/rs1030393
Received: 14 July 2009 / Revised: 13 August 2009 / Accepted: 13 August 2009 / Published: 17 August 2009
(This article belongs to the Special Issue Ecological Status and Change by Remote Sensing)
In this paper we present a framework for modelling potential species distribution (PSD) of balsam fir [bF; Abies balsamea (L.) Mill.] as a function of landscape-level descriptions of: (i) growing degree days (GDD: a temperature related index), (ii) land-surface wetness, (iii) incident photosynthetically active radiation (PAR), and (iv) tree habitat suitability. GDD and land-surface wetness are derived primarily from remote sensing data acquired with the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite. PAR is calculated with an existing spatial model of solar radiation. Raster-based calculations of habitat suitability and PSD are obtained by multiplying normalized values of species environmental-response functions (one for each environmental variable) parameterized for balsam fir. As a demonstration of the procedure, we apply the calculations to a high bF-content area in northwest New Brunswick, Canada, at 250-m resolution. Location of medium-to-high habitat suitability values (i.e., >0.50) and actual forests, with >50% bF, matched on average 92% of the time. View Full-Text
Keywords: balsam fir; biophysical surfaces; growing degree days; incident photosynthetically active radiation; landscape; MODIS imagery; temperature-vegetation wetness index; tree habitat suitability balsam fir; biophysical surfaces; growing degree days; incident photosynthetically active radiation; landscape; MODIS imagery; temperature-vegetation wetness index; tree habitat suitability
Show Figures

Graphical abstract

MDPI and ACS Style

Hassan, Q.K.; Bourque, C.P.-A. Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods. Remote Sens. 2009, 1, 393-407.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop