位置：成果数据库 > 期刊 > 期刊详情页
Reduction of atmospheric and topographic effect on Landsat TM data for forest classification
  • ISSN号：0143-1161
  • 期刊名称：International Journal of Remote Sensing
  • 时间：0
  • 页码：5623-5642
  • 语言：英文
  • 相关项目：传染病流行与地理环境因素关系分析
作者： Clinton, N.|Gong, P.|Hui, F.|Huang, H.|
同期刊论文项目
传染病流行与地理环境因素关系分析
期刊论文 27 会议论文 1
同项目期刊论文
Spatially explicit agent-based modelling for schistosomiasis transmission: human-environment interac
Combining Spatial-Temporal and Phylogenetic Analysis Approaches for Improved Understanding on Global
A Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 H
Settlement extraction in the North China Plain using Landsat and Beijing-1 multispectral data with a
China's wetland change (1990-2000) determined by remote sensing
Spatial analysis of hemorrhagic fever with renal syndrome in China
A spatial–temporal approach to monitoring forest disease spread using multi-temporal high spatial re
Improving Measurement of Forest Structural Parameters by Co-Registering of High Resolution Aerial Im
Spatial temporal distribution of malaria in Yunnan Province , China
Geographical characteristics of China 's wetland derived from remote sensing
基于全球通量观测站的全球土地覆盖图精度检验
遥感科学与技术中的一些前沿问题
Modeling spatial-temporal change of Poyang Lake using multi-temporal Landsat imagery
激光雷达技术在我国地形测图中应用前景广阔
Noise estimation in a noise-adjusted principal component transformation and hyperspectral image rest
Using local transition probability models in Markov random fields for forest change detection
A preliminary knowledge-driven prediction model of snail distribution in the Poyang Lake region
Reflectance spectroscopy for the assessment of salt content in soils of the Yellow River Delta of Ch
Soil salt content estimation on the Yellow River Deltawith satellite hyperspectral data