Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study

被引:73
作者
Cho, Moses Azong [1 ,2 ]
Malahlela, Oupa [3 ]
Ramoelo, Abel [1 ]
机构
[1] CSIR, Nat Resources & Environm, Earth Observat Grp, ZA-0001 Pretoria, South Africa
[2] Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, Pietermaritzburg, South Africa
[3] SANSA, ZA-0127 Silverton, South Africa
来源
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2015年 / 38卷
关键词
Subtropical forest; Tree species; Remote sensing; WorldView-2; Forest conservation; SUPPORT VECTOR MACHINES; IMAGING SPECTROSCOPY; INDIGENOUS FOREST; CLASSIFICATION; FRAGMENTATION; BIODIVERSITY; SATELLITE; DELINEATION; DIVERSITY;
D O I
10.1016/j.jag.2015.01.015
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Indigenous forest biome in South Africa is highly fragmented into patches of various sizes (most patches < 1 km(2)). The utilization of timber and non-timber resources by poor rural communities living around protected forest patches produce subtle changes in the forest canopy which can be hardly detected on a timely manner using traditional field surveys. The aims of this study were to assess: (i) the utility of very high resolution (VHR) remote sensing imagery (World View-2, 0.5-2 m spatial resolution) for mapping tree species and canopy gaps in one of the protected subtropical coastal forests in South Africa (the Dukuduku forest patch (ca.3200 ha) located in the province of KwaZulu-Natal) and (ii) the implications of the map products to forest conservation. Three dominant canopy tree species namely, Albizia adianthifolia, Strychnos spp. and Acacia spp., and canopy gap types including bushes (grass/shrubby), bare soil and burnt patches were accurately mapped (overall accuracy = 89.3 +/- 2.1%) using WorldView-2 image and support vector machine classifier. The maps revealed subtle forest disturbances such as bush encroachment and edge effects resulting from forest fragmentation by roads and a power-line. In two stakeholders' workshops organised to assess the implications of the map products to conservation, participants generally agreed amongst others implications that the VHR maps provide valuable information that could be used for implementing and monitoring the effects of rehabilitation measures. The use of VHR imagery is recommended for timely inventorying and monitoring of the small and fragile patches of subtropical forests in Southern Africa. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:349 / 357
页数:9
相关论文
共 53 条
[1]   A Comparison Between Global and Context-Adaptive Pansharpening of Multispectral Images [J].
Aiazzi, Bruno ;
Baronti, Stefano ;
Lotti, Franco ;
Selva, Massimo .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2009, 6 (02) :302-306
[2]  
[Anonymous], 2010, RADIOMETRIC USE WORL
[3]  
[Anonymous], INF FUS 2009 FUSION
[4]   Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests [J].
Asner, Gregory P. ;
Martin, Roberta E. .
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT, 2009, 7 (05) :269-276
[5]   Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR [J].
Asner, Gregory P. ;
Knapp, David E. ;
Kennedy-Bowdoin, Ty ;
Jones, Matthew O. ;
Martin, Roberta E. ;
Boardman, Joseph ;
Hughes, R. Flint .
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (05) :1942-1955
[6]   Using patch isolation metrics to predict animal movement in binary landscapes [J].
Bender, DJ ;
Tischendorf, L ;
Fahrig, L .
LANDSCAPE ECOLOGY, 2003, 18 (01) :17-39
[7]  
Berliner D, 2005, METHODS RESULTS SELE, P96
[8]  
Boon R, 1993, TREES S AFRICA COMPL
[9]   Small understorey gaps created by subsistence harvesters do not adversely affect the maintenance of tree diversity in a sub-tropical forest [J].
Boudreau, S ;
Lawes, MJ .
BIOLOGICAL CONSERVATION, 2005, 126 (02) :279-286
[10]   Can multiresolution fusion techniques improve classification accuracy? [J].
Bruzzone, L. ;
Carlin, L. ;
Alparone, L. ;
Baronti, S. ;
Garzelli, A. ;
Nencini, F. .
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XII, 2006, 6365