生态学报2017，Vol.37Issue(19)：6534-6543,10.DOI:10.5846/stxb201607031369
神农架川金丝猴栖息地优势乔木树种遥感识别及其分布特征
Determination of dominant tree species and effects of tree distribution on the habitat of Rhinopithecus roxellana using Remote Sensing imagery in Shennongjia
摘要
Abstract
Because of the difficulty in obtaining large-scale distribution data on tree species in Rhinopithecus roxellana habitat in Shennongjia,we attempted to use multi-source and multi-temporal remote sensing data combined with expert knowledge to identify species at different levels.Firstly,after analyzing the discrimination of sample trees,we used winter Landsat8/OLI image data to extract evergreen and deciduous forest,respectively.Secondly,we used summer Worldview-2 high resolution image data to for the recognition of tree species,which included the evergreen species (Abies fargesii,Pinus armandii,Picea wilsonii,Quercus spinosa) and deciduous tree species (Betula albo-sinensis,Larix kaempferi,Fagus engleriana,Toxicodendron vernicifluum,Quercus aliena,Populus wilsonii),respectively.Thirdly,combining the vegetation quadrats and expert knowledge on elevation,we corrected the classification results based on the second step.Finally,making use of GIS spatial analysis,we analyzed the terrain and geographical distribution on the dominant species.The experiment revealed that accuracy was higher in evergreen forests,such as Abiesfargesii,Pinus armandii,Quercus spinosa,and Pinus armandii affected by pests,whereas relatively higher in deciduous forest,such as Betula albo-sinensis and Toxicodendron vernicifluum.Some species,such as Populus wilsonii and Quercus aliena,showed poor accuracy.In general,evergreen species had higher accuracy than deciduous trees.By combining plant geography,remote sensing,and GIS,we integrated the multi-source,multi-temporal remote sensing data,phenological characteristics of the tree species,and expert knowledge to propose a method for identifying tree species.This method (1) provides an effective way to identify dominant tree species in complex mountainous environments,and it has the versatility for a variety of geographical environments;(2)makes full use of the integration of species phenological features and characteristics of remote sensing data to reduce data costs;(3) uses ground sampling and expert knowledge,ensuring the classification results are correct,which can avoid excessive reliance on spectral characteristics,and reduce the possibility of misclassification.This method will provide more accurate data for the protection and restoration of the habitat of Rhinopithecus roxellana in Shennongjia.关键词
多源多时相遥感/高分影像Worldview-2/树种识别/植被/专家知识Key words
multi-source and multi-temporal Remote sensing data/high resolution image Worldview-2/tree species identification/vegetation/expert knowledge引用本文复制引用
林丽群,汪正祥,雷耘,李亭亭,王俊,杨敬元..神农架川金丝猴栖息地优势乔木树种遥感识别及其分布特征[J].生态学报,2017,37(19):6534-6543,10.基金项目
国家支撑计划(2013BAD03B03-01) （2013BAD03B03-01）
国家自然科学基金(41471041) （41471041）
省自然科学基金(2014CFB560) （2014CFB560）
省中青年基金(Q20141003) （Q20141003）
