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Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation最新文献

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Hyperspectral Applications to Landscape Phenology 高光谱在景观物候学中的应用
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-7
A. Huete, Werapong Koedsin, Jin Wu
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引用次数: 0
Hyperspectral Remote Sensing of Wetland Vegetation 湿地植被的高光谱遥感
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-11
E. Ramsey, A. Rangoonwala
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引用次数: 1
Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops 高光谱窄带及其指数在棉花含氮量研究中的应用
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-2
Jian-long Li, Jingjing Zhang, Chunliu Tao, Dehua Zhao, Chengcheng Gang
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引用次数: 0
Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies 长期、跨传感器连续性研究中的高光谱数据
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-13
T. Miura, H. Yoshioka
{"title":"Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies","authors":"T. Miura, H. Yoshioka","doi":"10.1201/9780429431166-13","DOIUrl":"https://doi.org/10.1201/9780429431166-13","url":null,"abstract":"","PeriodicalId":396629,"journal":{"name":"Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130238617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Analysis of the Effects of Heavy Metals on Vegetation Hyperspectral Reflectance Properties 重金属对植被高光谱反射特性的影响分析
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-3
E. Slonecker
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引用次数: 19
Characterization of Pastures Using Field and Imaging Spectrometers 利用场谱仪和成像光谱仪表征草场
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-10
Izaya Numata
{"title":"Characterization of Pastures Using Field and Imaging Spectrometers","authors":"Izaya Numata","doi":"10.1201/9780429431166-10","DOIUrl":"https://doi.org/10.1201/9780429431166-10","url":null,"abstract":"Pasturelands cover extensive areas of non-iced land in the world and are distributed across diverse ecosystems [1]. This landcover type is of interest in terms of feed availability, quality for livestock production, and regional ecosystem functioning. Biophysical and biochemical properties of pastures are highly variable and are altered by environmental conditions such as climate, soils, and human management. It is critical to understand changes in pastures under human–environment interactions in order to provide relevant information to management practices as well as estimate the impacts on regional ecosystem functioning. Remote sensing has played an important role in monitoring pasture dynamics and providing estimates of pasture properties using multispectral sensors. From the pasture management perspective, one of the ultimate goals for the use of remote sensing would be the quantification of biophysical and biochemical properties of pasture based solely on remotely sensed data, data that are available at a low cost and do not require time-consuming and costly field CONTENTS","PeriodicalId":396629,"journal":{"name":"Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116995726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Hyperspectral Remote Sensing for Forest Management 森林管理的高光谱遥感
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-9
V. Thomas
{"title":"Hyperspectral Remote Sensing for Forest Management","authors":"V. Thomas","doi":"10.1201/9780429431166-9","DOIUrl":"https://doi.org/10.1201/9780429431166-9","url":null,"abstract":"","PeriodicalId":396629,"journal":{"name":"Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133745778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems 干旱生态系统植物凋落物和入侵物种量化的高光谱遥感工具
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-6
P. Nagler, B. Sridhar, A. Olsson, W. Leeuwen, E. Glenn
{"title":"Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems","authors":"P. Nagler, B. Sridhar, A. Olsson, W. Leeuwen, E. Glenn","doi":"10.1201/9780429431166-6","DOIUrl":"https://doi.org/10.1201/9780429431166-6","url":null,"abstract":"","PeriodicalId":396629,"journal":{"name":"Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128563087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Hyperspectral Remote Sensing of FireA Review FireA高光谱遥感综述
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-12
S. Veraverbeke, P. Dennison, I. Gitas, G. Hulley, O. Kalashnikova, T. Katagis, L. Kuai, R. Meng, D. Roberts, N. Stavros
{"title":"Hyperspectral Remote Sensing of FireA Review","authors":"S. Veraverbeke, P. Dennison, I. Gitas, G. Hulley, O. Kalashnikova, T. Katagis, L. Kuai, R. Meng, D. Roberts, N. Stavros","doi":"10.1201/9780429431166-12","DOIUrl":"https://doi.org/10.1201/9780429431166-12","url":null,"abstract":"","PeriodicalId":396629,"journal":{"name":"Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation","volume":"39 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120845607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Crop Water Productivity Estimation with Hyperspectral Remote Sensing 基于高光谱遥感的作物水分生产力估算
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Pub Date : 2018-12-07 DOI: 10.1201/9780429431166-5
Michael T. Marshall, I. Aneece, D. Foley, Cai Xue-liang, T. Biggs
{"title":"Crop Water Productivity Estimation with Hyperspectral Remote Sensing","authors":"Michael T. Marshall, I. Aneece, D. Foley, Cai Xue-liang, T. Biggs","doi":"10.1201/9780429431166-5","DOIUrl":"https://doi.org/10.1201/9780429431166-5","url":null,"abstract":"","PeriodicalId":396629,"journal":{"name":"Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation","volume":"209 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127036305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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