Mapping forest growth and degradation stage in the Brigalow Belt Bioregion of Australia through integration of ALOS PALSAR and Landsat-derived foliage projective cover data

REMOTE SENSING OF ENVIRONMENT

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Article

Lucas, Richard M.⁷  Clewley, Daniel^1,2  Accad, Arnon³  Butler, Don³  Armston, John⁴  Bowen, Michiala⁵  Bunting, Peter¹  Carreiras, Joao⁶  Dwyer, John⁵  Eyre, Teresa³  Kelly, Annie³  McAlpine, Clive⁵  Pollock, Sandy³  Seabrook, Leonie⁵ 

[1] Aberystwyth Univ, Inst Geog & Earth Sci, Aberystwyth SY23 2EJ, Dyfed, Wales

[2] Univ So Calif, Ming Hsieh Dept Elect Engn, Los Angeles, CA 90089 USA

[3] Queensland Herbarium, Dept Sci Informat Technol Innovat & Arts, Brisbane Bot Gardens, Toowong, Qld 4066, Australia

[4] Ctr Remote Sensing, Dept Sci Informat Technol Innovat & Arts, Ecosci Precinct, Dutton Pk, Qld 4102, Australia

[5] Univ Queensland, Sch Geog Planning & Environm Management, Ctr Spatial Environm Res, Brisbane, Qld 4072, Australia

[6] Trop Res Inst, P-1400142 Lisbon, Portugal

[7] Univ New S Wales, Sch Biol Earth & Environm Sci, Kensington, NSW 2052, Australia

关键词: Brigalow;    ALOS PALSAR;    Landsat;    Regrowth;    Degradation;    Carbon;    Biodiversity;   

DOI  :  10.1016/j.rse.2013.11.025

来源: Elsevier

【 摘 要 】

Differentiation of forest growth stages through classification of single date or time-series of Landsat sensor data is limited because of insensitivity to their three-dimensional structure. This study therefore evaluated the benefits of integrating the Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) L-band HH and HV polarisation response from the woody components of vegetation with Landsat-derived foliage projective cover (FPC). Focus was on 12 regional ecosystems (REs) distributed across the Brigalow Belt Bioregion (BRB) of Queensland, Australia, where different stages of growth dominated by brigalow (Acacia harpophylla) were widespread. From remnant areas of brigalow-dominated forests mapped previously for each RE by the Queensland Herbarium through field visits and interpretations of aerial imagery, frequency distributions of all three channels were extracted and compared to those of image segments generated using FPC and PALSAR data. For woody vegetation (with an FPC threshold of >= 9%) outside of the remnant areas, mature (non-remnant) forests were associated with segments where the HH and HV backscatter thresholds were within one standard deviation of the mean extracted for remnant forest. Early-stage regrowth was differentiated using an L-band HH threshold of < - 14 dB, common for all REs because of similarities in structure at this stage. The early-stage included forests regrowing over several decades and often occurred in areas recovering from recent clearing events. Objects falling between the early and mature stages were considered to be intermediate regrowth and/or degraded forest. All areas with an FPC <9% were mapped as non-forest. Within the BRB, the Queensland Herbarium established that forests with brigalow as a dominant or subdominant component originally occupied over 73 million ha but were reduced to 586,364 ha by 2009, with 460,499 ha (78.5%) having brigalow as the dominant component Using the Landsat FPC and ALOS PALSAR data, an additional 722,686 ha of brigalow-dominated regrowth forest were identified giving a total forested area (brigalow-dominated remnant and secondary forest) of 1,183,185 ha or 17.2% of the area of the 12 REs. Within this area, the greater proportion of regrowth (368,473 ha or 31.1%) was mapped as early stage primarily because of recovery following recent clearance events. 230,551 (19.5%) ha and 123,662 ha (10.5%) were mapped as intermediate and mature (non-remnant) stages respectively and the remainder (38.9%) was remnant forest. Users' and producers' accuracies were, respectively, 81% and 69% for early regrowth and 71% and 89% for mature and intermediate stage forests combined. The mapping, which used Queensland Herbarium's RE data to delineate brigalow extent, provided a structural, rather than age-based classification of growth stage, as is typically retrieved using time-series comparison of optical imagery. The regional estimates of growth/degradation stage generated for the BRB provide a basis for optimising the use and recovery of these threatened brigalow ecosystems with benefits for biodiversity and carbon sequestration. (C) 2014 Published by Elsevier Inc.

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