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System Engineering Analyses for the Study of Future Multispectral Land Imaging Satellite Sensors for Vegetation Monitoring

机译：用于植被监测的未来多光谱土地成像卫星传感器研究的系统工程分析

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作者
Cui, Zhaoyu;
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作者单位

Rochester Institute of Technology;

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授予单位 Rochester Institute of Technology;
学科
学位 Ph.D.
年度 2018
页码 150 p.
总页数 150
原文格式 PDF
正文语种 eng
中图分类
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专利

1. EXPERIENCE USING THE NDVI NORMALIZED DIFFERENCE VEGETATION INDEX FOR MONITORING POLESYE AGRICULTURAL LAND BASED ON MULTISPECTRAL IKONOS SATELLITE IMAGING DATA [J] . Z. A. Nichiporovich, E. A. Radevich Journal of Applied Spectroscopy . 2012,第4期

机译：基于多光谱IKONOS卫星影像数据的NDVI归一化植被指数监测多叶红农业土地的经验
2. Mapping Aquatic Vegetation in a Tropical Wetland Using High Spatial Resolution Multispectral Satellite Imagery [J] . Deepak R. Mishra, Prasad S. Thenkabail, Ren#xE9, Remote Sensing . 2015,第9期

机译：使用高空间分辨率多光谱卫星图像绘制热带湿地中的水生植被图
3. Monitoring vegetation changes on Finnmarksvidda, Northern Norway, using Landsat MSS and Landsat TM/ETM+ satellite images [J] . Bernt JOHANSEN, Stein Rune KARLSEN, Tromso, Phytocoenologia . 2005,第4期

机译：使用Landsat MSS和Landsat TM / ETM +卫星图像监测挪威北部Finnmarksvidda的植被变化
4. Changing Landscapes: Monitoring Ecologically Sensitive Ecosystems in a Dynamic Semi-Arid Landscape Using Satellite Imagery: A Case Study in Ejin Oasis, Western China [C] . Meng-Lung Lin, Yu Cao, Yi-Huang Tao, Agriculture and Hydrology Applications of Remote Sensing; Proceedings of SPIE-The International Society for Optical Engineering; vol.6411 . 2006

机译：改变景观：使用卫星图像监测动态半干旱景观中的生态敏感生态系统：以中国西部额济纳绿洲为例
5. Mapping and Monitoring of Croplands in a Complex Urban/Peri-urban Landscape Using Multi-sensor Satellite Imagery : A Case Study of Japan [D] . NDUATI, Eunice Wanjiku Mary 2019

机译：利用多传感器卫星图像对复杂的城市/郊区景观中的农田进行制图和监测：以日本为例
6. An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration [O] . Lars Eklundh, Hongxiao Jin, Per Schubert, 2011

机译：用于植被物候监测和卫星数据校准的光学传感器网络
7. Spatio-Temporal Analysis of Oil Spill Impact and Recovery Pattern of Coastal Vegetation and Wetland Using Multispectral Satellite Landsat 8-OLI Imagery and Machine Learning Models [O] . Abdul-Lateef Balogun, Shamsudeen Temitope Yekeen, Biswajeet Pradhan, 2020

机译：使用多光谱卫星山地卫星8-Oli图像和机器学习模型的沿海植被和湿地洪水泄漏抗冲击和恢复模式的时空分析

System Engineering Analyses for the Study of Future Multispectral Land Imaging Satellite Sensors for Vegetation Monitoring

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