NOAA-AVHRR provides multi-temporal data for research on vegetation Phenology.
NOAA-AVHRR所提供的全球多时相数据为研究植被的生物学特征提供支持。
参考来源 - 多时相AVHRRAt present using the advantages of large scale, multi-temporal, multispectral of remote sensing to land use monitoring has become the focus of research global change.
利用遥感技术大尺度、多时相、多光谱等优势对土地利用进行检测已成为目前研究全球变化的热点。
参考来源 - 基于MODIS的蒙东地区土地覆盖分类及退耕还林还草变化监测研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Relative radiometric normalization of multi-temporal satellite images is the necessary process in change detection or image mosaic.
多时相遥感影像的相对辐射归一化是进行变化检测或拼接不可缺少的步骤。
An image change detection algorithm based on adaptive parameter estimation for multi-temporal remote sensing is proposed in this paper.
提出一种基于自适应参数估计实现多时相遥感图像的变化检测算法。
This paper is based on multi-temporal NDVI data and presents time series analysis, which is used for extracting seasonal information of vegetation in one year.
本文就以多时相的NDVI数据为基础，通过时间序列分析方法，提取植被的季节性变化特征。
应用推荐