基于森林资源连清数据的泗阳县杨树生物量遥感估算模型  

Establishment of Remote Sensing Estimation Model about Poplar Biomass in Siyang County Based on the Forest Resource Continuous Investigation Data

作　　者：温小荣[1] 蒋丽秀[1] 林国忠[1] 李凤凤 郑勇[1] 谢小杰[1] 佘光辉[1] 

机构地区：[1]南京林业大学森林资源与环境学院,江苏南京210037 [2]连云港新浦区农林水局,江苏连云港222000

出　　处：《安徽农业科学》2013年第36期13935-13937,共3页Journal of Anhui Agricultural Sciences

基　　金：948计划资助(2013-4-63);国家林业局公益性行业科研专项(200804006);南京林业大学科技创新基金(CX2011-24)

摘　　要：基于2005年江苏省森林资源连续清查数据,采用蓄积量——生物量换算因子连续函数法计算杨树林生物量,对生物量与Landsat TM数据各波段的比值B1/B3、B2/B4、B2×B3/B4、B7/B5、B7/B5、(B4+B5-B2)/(B4+B5+B2)、B3/(B1+B2+B3+B4+B5+B7)、B3/B4及植被指数NDVI、RVI、TNDVI进行相关性分析,筛选杨树生物量遥感估算模型的相应因子;并应用逐步回归技术建立估算杨树生物量遥感模型,估算出2005年泗阳县杨树林总面积为29 768.6 hm2,总生物量约为1 786 771.2 t,平均生物量约为60.0 t/hm2。结果表明,在森林资源连续清查的数据基础上,利用遥感影像在县级区域尺度上对杨树森林生物量进行有效估算是完全可行的,其方法具有时间分辨率高的特点,使生物量估算在较大的时间和空间尺度上具备操作的可能性。Based on the forest resource continuous investigation data of Jiangsu in 2005,poplar biomass was calculated by the expansion factor function method which was derived from the relationship between biomass and volume.In order to select the corresponding factor of remote sensing estimation models about poplar biomass,correlation analysis was carried out on the obtained biomass and data of Landsat TM which each band ratio was B1/B3,B2/B4,B2 ×B3/B4,B7/B5,B7/B5,（B4 ＋ B5-B2）/（B4 ＋B5 ＋B2）,B3/（B1 ＋B2 ＋B3 ＋B4 ＋B5 ＋B7）,B3/B4,as well as vegetation index of NDVI,RVI,TNDVI.Then,stepwise regression technique was used to establish remote sensing model and estimate the total area of poplar was 29768.6 hm2,the total of biomass was 1 786 771.2 t,the average of biomass was 60.0 t/hm2 in Siyang County in 2005.The results showed that took advantage of remote sensing to effectively estimate poplar biomass was entirely feasible under the county regional scale,on the base of the forest resource continuous investigation data,the method had the characteristics of high temporal resolution,and made estimation had the possibility of operation in a large temporal and spatial scale.

关 键 词：杨树 泗阳县 生物量 遥感估算模型 

分 类 号：S757.2[农业科学—森林经理学]