光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
2期
515-519
,共5页
NDVI%森林物候%Spot Vegetation%中国东北
NDVI%森林物候%Spot Vegetation%中國東北
NDVI%삼림물후%Spot Vegetation%중국동북
Forest phenophase%Spot Vegetation%Northeast of China
基于归一化差值植被指数(normalized difference vegetation index ,NDVI),提出了一种新的物候遥感监测方法,基于森林植被的年NDVI时间累积曲线,利用Logistic模型对NDVI累积曲线进行拟合,依据曲率极值方法提取森林植被物候期的关键参数(生长季开始日期,SOS ;生长季结束日期,EOS ),并对森林植被的生长季长度(length of season ,LOS)进行分析,探讨近10年东北森林物候的时空变化。主要结论为:(1)2001年~2010年间,东北森林生长季开始日期集中在110~140天但在10年间没有明显变化;(2)第260~290天,森林逐渐停止生长,生长季结束日期从北向南逐渐推迟,但在十年间几乎没变化;(3)与生长季开始和结束日期相对应,东北森林生长季长度集中在120~160天之间,但存在空间差异,大兴安岭地区森林生长季长度较短,集中在120~140天之间,小兴安岭、长白山、辽东半岛地区的森林生长季长度可达到160天,对整个研究区来讲,近10年间变化的区域仅占研究区的14.9%,变化趋势集中在1d/10年。研究结果与物候观测数据及已有的研究具有较好的一致性,说明利用遥感数据动态监测东北森林植被物候期具有一定的可靠性。
基于歸一化差值植被指數(normalized difference vegetation index ,NDVI),提齣瞭一種新的物候遙感鑑測方法,基于森林植被的年NDVI時間纍積麯線,利用Logistic模型對NDVI纍積麯線進行擬閤,依據麯率極值方法提取森林植被物候期的關鍵參數(生長季開始日期,SOS ;生長季結束日期,EOS ),併對森林植被的生長季長度(length of season ,LOS)進行分析,探討近10年東北森林物候的時空變化。主要結論為:(1)2001年~2010年間,東北森林生長季開始日期集中在110~140天但在10年間沒有明顯變化;(2)第260~290天,森林逐漸停止生長,生長季結束日期從北嚮南逐漸推遲,但在十年間幾乎沒變化;(3)與生長季開始和結束日期相對應,東北森林生長季長度集中在120~160天之間,但存在空間差異,大興安嶺地區森林生長季長度較短,集中在120~140天之間,小興安嶺、長白山、遼東半島地區的森林生長季長度可達到160天,對整箇研究區來講,近10年間變化的區域僅佔研究區的14.9%,變化趨勢集中在1d/10年。研究結果與物候觀測數據及已有的研究具有較好的一緻性,說明利用遙感數據動態鑑測東北森林植被物候期具有一定的可靠性。
기우귀일화차치식피지수(normalized difference vegetation index ,NDVI),제출료일충신적물후요감감측방법,기우삼림식피적년NDVI시간루적곡선,이용Logistic모형대NDVI루적곡선진행의합,의거곡솔겁치방법제취삼림식피물후기적관건삼수(생장계개시일기,SOS ;생장계결속일기,EOS ),병대삼림식피적생장계장도(length of season ,LOS)진행분석,탐토근10년동북삼림물후적시공변화。주요결론위:(1)2001년~2010년간,동북삼림생장계개시일기집중재110~140천단재10년간몰유명현변화;(2)제260~290천,삼림축점정지생장,생장계결속일기종북향남축점추지,단재십년간궤호몰변화;(3)여생장계개시화결속일기상대응,동북삼림생장계장도집중재120~160천지간,단존재공간차이,대흥안령지구삼림생장계장도교단,집중재120~140천지간,소흥안령、장백산、료동반도지구적삼림생장계장도가체도160천,대정개연구구래강,근10년간변화적구역부점연구구적14.9%,변화추세집중재1d/10년。연구결과여물후관측수거급이유적연구구유교호적일치성,설명이용요감수거동태감측동북삼림식피물후기구유일정적가고성。
Plant phenology is the best indicator of terrestrial ecosystem response to climate change and it becomes a hot issue in the study of global change. The forest in northeast of China plays an important part in global forest ecosystem. In this paper , yearly integrated Normalized Difference Vegetation Index (NDVI) of forest vegetation in northeast China was calculated based on Spot Vegetation datasets from 2001~2010 ,which has been filtered using Savtiky-Galoy method. And then ,the yearly inte-grated NDVI profile was fitted using a logistic model. Two key parameters of forest phenology (start of season ,SOS ;end of season ,EOS) were extracted according to the greatest rate of curvature of fitted cumulative NDVI and the length of forest phe-nology (length of season ,LOS) was also analyzed. The main conclusions of this paper are (1) SOS mainly occurs in the 110th~140th day and EOS in 260th and 290th day. SOS displays a marked delayed from south to north while EOS gradually advances.However ,the changes of SOS and EOS in ten years are not obvious. (2) Corresponding to the SOS and EOS ,LOS of forest in study area mainly occurs in the 120th~160th day ;however ,it is spatially heterogeneous. LOS of forest in Greater Khingan Mountains is shorter (about 120~140 day) than forests in Xiao Hinggan Ling and Changbai Mountains (about 160 day). The results in this paper are concordant with records of phenology in situ measurements and previous researches in the same area. It indicates that forest phenophases using method in this paper from Spot Vegetation dataset is feasible.