摘要
地理国情监测成果,直接关系到国家的重大战略决策的正确性。本文选取呼兰区的部分区域和五常市的部分区域为试验区,以10 m空间分辨率的Sentinel-2数据为主要数据源,合成每月NDVI时间序列数据,有效利用植被季相变化和物候差异,提取区域的针叶林和阔叶林的空间分布信息。同时,利用NDWI对水体进行自动化提取,充分发挥当前作业中普遍忽略的红外波段数据的作用,可有效地辅助地理国情监测中的地物识别。
The results of geographical monitoring have a direct bearing on the correctness of the country's major strategic decisions.The paper mainly used Sentinel-2 data with 10 m spatial resolution as the main data source,taking the part of Hulan district and part of Wuchang City as an example,and generating monthly time series NDVI product.This paper made full use of seasonal changes and phenological differences of vegetation and extracted spatial distribution information of coniferous forest and hardwood forest in the region.At the same time,NDWI can be used to automatically extract water bodies and give full play to the role of infrared band data,which is generally ignored in current operations,to effectively assist geographical conditions to identify ground objects.
作者
曹宇佳
刘自远
陈飞
CAO Yujia;LIU Ziyuan;CHEN Fei(Heilongjiang Institute of Geomatics Engineering,Harbin 150081,China;Guangzhou Urban Planning and Design Survey Research Institute,Guangzhou 510000,China;No.38 Research Institute,China Electronic Technology Group Corporation,Hefei 230088,China;Key Laboratory of Aperture Array and Space Application,Hefei 230088,China)
出处
《测绘与空间地理信息》
2021年第S01期131-134,共4页
Geomatics & Spatial Information Technology
