森林与环境学报
森林與環境學報
삼림여배경학보
Journal of Forest and Environment
2015年
1期
74-80
,共7页
王海宾%邓华锋%程志楚%刘华
王海賓%鄧華鋒%程誌楚%劉華
왕해빈%산화봉%정지초%류화
森林面积%空间抽样%遥感监测%抽样效率
森林麵積%空間抽樣%遙感鑑測%抽樣效率
삼림면적%공간추양%요감감측%추양효솔
forest area%spatial sampling%remote monitoring%sampling efficiency
以辽宁省为例,应用中分辨率成像光谱仪影像( MODIS)数据进行森林信息提取,并选取森林面积为研究对象,采用网格单元作为抽样单元,应用随机、系统、分层的抽样方法对辽宁省森林面积进行抽样估算,在获得最优抽样方法的基础上进行第2阶段抽样,设计不同样本容量水平下的森林面积空间抽样方法试验。结果表明:以县森林面积覆盖百分比为分层标志的分层抽样方法抽样效率最高,在第2阶段抽样估算的8种样本容量水平下,当样本容量为8时,抽样精度达到95%,并且所需样本数量最少,达到了森林面积抽样精度要求。应用此方法能够减少森林资源调查成本和工作量,可以结合遥感、地理信息系统和全球定位系统技术(3S技术),进行大区域范围森林面积的监测。
以遼寧省為例,應用中分辨率成像光譜儀影像( MODIS)數據進行森林信息提取,併選取森林麵積為研究對象,採用網格單元作為抽樣單元,應用隨機、繫統、分層的抽樣方法對遼寧省森林麵積進行抽樣估算,在穫得最優抽樣方法的基礎上進行第2階段抽樣,設計不同樣本容量水平下的森林麵積空間抽樣方法試驗。結果錶明:以縣森林麵積覆蓋百分比為分層標誌的分層抽樣方法抽樣效率最高,在第2階段抽樣估算的8種樣本容量水平下,噹樣本容量為8時,抽樣精度達到95%,併且所需樣本數量最少,達到瞭森林麵積抽樣精度要求。應用此方法能夠減少森林資源調查成本和工作量,可以結閤遙感、地理信息繫統和全毬定位繫統技術(3S技術),進行大區域範圍森林麵積的鑑測。
이요녕성위례,응용중분변솔성상광보의영상( MODIS)수거진행삼림신식제취,병선취삼림면적위연구대상,채용망격단원작위추양단원,응용수궤、계통、분층적추양방법대요녕성삼림면적진행추양고산,재획득최우추양방법적기출상진행제2계단추양,설계불동양본용량수평하적삼림면적공간추양방법시험。결과표명:이현삼림면적복개백분비위분층표지적분층추양방법추양효솔최고,재제2계단추양고산적8충양본용량수평하,당양본용량위8시,추양정도체도95%,병차소수양본수량최소,체도료삼림면적추양정도요구。응용차방법능구감소삼림자원조사성본화공작량,가이결합요감、지리신식계통화전구정위계통기술(3S기술),진행대구역범위삼림면적적감측。
Taking Liaoning Province as a case and forest area in the province as the research object , which was extracted by applying MODIS data, adopting grid cells as the sampling unit , the methods of random sampling , systematic sampling and stratified sampling were conducted for sampling assumption on the forest area of the whole province .With the optimal sampling method , the second-stage sampling was facilitated , and experiments on forest area spatial sampling method was designed in different sample sizes.The sampling efficiency of stratified sampling with the percentage of forest cover of the counties as stratified symbol was the highest.Under the 8 sample sizes sampled and assumed in the second-stage sampling, when the sample size was 8 the sampling accuracy reached 95%and it needed the fewest samples .It satisfied the requirements of forest area sampling accuracy .This method reduced cost and workload of the forest resource investigation and provided reference for large regional forest area monitoring with remote sensing, geographic information system and global positioning system (3S technology).