Diversity 2014, 6(3), 396-414; doi:10.3390/d6030396
Article

Employing Measures of Heterogeneity and an Object-Based Approach to Extrapolate Tree Species Distribution Data

Received: 7 April 2014; in revised form: 25 June 2014 / Accepted: 25 June 2014 / Published: 3 July 2014
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Information derived from high spatial resolution remotely sensed data is critical for the effective management of forested ecosystems. However, high spatial resolution data-sets are typically costly to acquire and process and usually provide limited geographic coverage. In contrast, moderate spatial resolution remotely sensed data, while not able to provide the spectral or spatial detail required for certain types of products and applications, offer inexpensive, comprehensive landscape-level coverage. This study assessed using an object-based approach to extrapolate detailed tree species heterogeneity beyond the extent of hyperspectral/LiDAR flightlines to the broader area covered by a Landsat scene. Using image segments, regression trees established ecologically decipherable relationships between tree species heterogeneity and the spectral properties of Landsat segments. The spectral properties of Landsat bands 4 (i.e., NIR: 0.76–0.90 µm), 5 (i.e., SWIR: 1.55–1.75 µm) and 7 (SWIR: 2.08–2.35 µm) were consistently selected as predictor variables, explaining approximately 50% of variance in richness and diversity. Results have important ramifications for ongoing management initiatives in the study area and are applicable to wide range of applications.
Keywords: segmentation; object-based; Landsat; hyperspectral; LiDAR; heterogeneity; extrapolation
PDF Full-text Download PDF Full-Text [742 KB, uploaded 3 July 2014 14:23 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Jones, T.G.; Coops, N.C.; Gergel, S.E.; Sharma, T. Employing Measures of Heterogeneity and an Object-Based Approach to Extrapolate Tree Species Distribution Data. Diversity 2014, 6, 396-414.

AMA Style

Jones TG, Coops NC, Gergel SE, Sharma T. Employing Measures of Heterogeneity and an Object-Based Approach to Extrapolate Tree Species Distribution Data. Diversity. 2014; 6(3):396-414.

Chicago/Turabian Style

Jones, Trevor G.; Coops, Nicholas C.; Gergel, Sarah E.; Sharma, Tara. 2014. "Employing Measures of Heterogeneity and an Object-Based Approach to Extrapolate Tree Species Distribution Data." Diversity 6, no. 3: 396-414.

Diversity EISSN 1424-2818 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert