光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
6期
1629-1634
,共6页
许章华%李聪慧%刘健%余坤勇%龚从宏%唐梦雅%赖日文
許章華%李聰慧%劉健%餘坤勇%龔從宏%唐夢雅%賴日文
허장화%리총혜%류건%여곤용%공종굉%당몽아%뢰일문
龄组植被指数%HJ-1 CCD影像%光谱特征%归一化差值植被指数%聚类分析
齡組植被指數%HJ-1 CCD影像%光譜特徵%歸一化差值植被指數%聚類分析
령조식피지수%HJ-1 CCD영상%광보특정%귀일화차치식피지수%취류분석
Age group vegetation index%HJ-1 CCD image%Spectral characteristics%Normalized difference vegetation index%Cluster analysis
林龄(龄组)是划分林分结构的主要指标之一,其对监测森林健康,推进森林可持续发展具有重要意义。本文提出一种基于遥感数据的龄组植被指数(AGVI),并对其可行性进行验证。以福建省三明市、将乐县、沙县、南平市、华安县、云霄县、南安市、安溪县、莆田市、长汀县、建阳市、宁德市及福清市等13个县(市)518组松林龄组数据及同时相HJ-1 CCD多光谱影像为基础,对各龄组松林冠层的蓝光、绿光、红光、近红外及NDVI的光谱差异性进行分析,各龄组在近红外波段表现为幼龄林>中龄林>过熟林>成熟林>近熟林的特征,NDVI则表现为成熟林>近熟林>过熟林>幼龄林>中龄林的特征,由此构建龄组植被指数AGVI;该指数可以扩大各龄组松林的绝对及相对光谱差异。采用K-均值法对松林AGVI进行聚类分析,结果显示,松林龄组的划分精度为80.45%,准确率为90.41%。由此证实本文所构建的龄组植被指数具备有效性。
林齡(齡組)是劃分林分結構的主要指標之一,其對鑑測森林健康,推進森林可持續髮展具有重要意義。本文提齣一種基于遙感數據的齡組植被指數(AGVI),併對其可行性進行驗證。以福建省三明市、將樂縣、沙縣、南平市、華安縣、雲霄縣、南安市、安溪縣、莆田市、長汀縣、建暘市、寧德市及福清市等13箇縣(市)518組鬆林齡組數據及同時相HJ-1 CCD多光譜影像為基礎,對各齡組鬆林冠層的藍光、綠光、紅光、近紅外及NDVI的光譜差異性進行分析,各齡組在近紅外波段錶現為幼齡林>中齡林>過熟林>成熟林>近熟林的特徵,NDVI則錶現為成熟林>近熟林>過熟林>幼齡林>中齡林的特徵,由此構建齡組植被指數AGVI;該指數可以擴大各齡組鬆林的絕對及相對光譜差異。採用K-均值法對鬆林AGVI進行聚類分析,結果顯示,鬆林齡組的劃分精度為80.45%,準確率為90.41%。由此證實本文所構建的齡組植被指數具備有效性。
림령(령조)시화분림분결구적주요지표지일,기대감측삼림건강,추진삼림가지속발전구유중요의의。본문제출일충기우요감수거적령조식피지수(AGVI),병대기가행성진행험증。이복건성삼명시、장악현、사현、남평시、화안현、운소현、남안시、안계현、보전시、장정현、건양시、저덕시급복청시등13개현(시)518조송림령조수거급동시상HJ-1 CCD다광보영상위기출,대각령조송림관층적람광、록광、홍광、근홍외급NDVI적광보차이성진행분석,각령조재근홍외파단표현위유령림>중령림>과숙림>성숙림>근숙림적특정,NDVI칙표현위성숙림>근숙림>과숙림>유령림>중령림적특정,유차구건령조식피지수AGVI;해지수가이확대각령조송림적절대급상대광보차이。채용K-균치법대송림AGVI진행취류분석,결과현시,송림령조적화분정도위80.45%,준학솔위90.41%。유차증실본문소구건적령조식피지수구비유효성。
In the present paper,one remote sensing index-age group vegetation index (AGVI)was put forward,and its feasibili-ty was verified.Taking 518 groups of pine forest age group data collected in 13 counties (cities)of Sanming,Jiangle,Shaxian, Nanping,Huaan,Yunxiao,Nanping,Anxi,Putian,Changting,Jianyang,Ningde and Fuqing,Fujian Province and HJ-1 CCD multi-spectral image at the same time-phase as the basis,the spectrum differences of blue,green,red,near infrared and NDVI of each age group were analyzed,showing the characteristics of young forest>middle-aged forest>over-mature forest>mature forest>near mature forest at near infrared band and mature forest>near mature forest>over-mature forest>young forest>mid-dle-aged forest at NDVI,thus the age group vegetation index(AGVI)was constructed;the index could increase the absolute and relative spectrum differences among age groups.For the pine forest AGVI,cluster analysis was conducted with K-mean method, showing that the division accuracy of pine forest age group was 80.45%,and the accurate rate was 90.41%.Therefore,the ef-fectiveness of age group vegetation index constructed was confirmed.