A new method for pixel classification for rice variety identification using spectral and time series data from Sentinel-2 satellite imagery-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A new method for pixel classification for rice variety identification using spectral and time series data from Sentinel-2 satellite imagery

Published:2022-02 Issue: Volume:193 Page:106731
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Rauf Usman,Qureshi Waqar S.,Jabbar Hamid,Zeb Ayesha,Mirza Alina,Alanazi Eisa,Khan Umar S.,Rashid Nasir

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference47 articles.

1. Estimating and Mapping Crop Residues Cover on Agricultural Lands Using Hyperspectral and IKONOS Data;Bannari;Remote Sens. Environ.,2006

2. A New Method for Crop Classification Combining Time Series of Radar Images and Crop Phenology Information;Bargiel;Remote Sens. Environ.,2017

3. A High-Performance and in-Season Classification System of Field-Level Crop Types Using Time-Series Landsat Data and a Machine Learning Approach;Cai;Remote Sens. Environ.,2018

4. Mapping Croplands, Cropping Patterns, and Crop Types Using MODIS Time-Series Data;Chen;Int. J. Appl. Earth Obs. Geoinf.,2018

5. Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data;Feng;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2019

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive deep learning approach for harvest ready sugarcane pixel classification in Punjab, Pakistan using Sentinel-2 multispectral imagery;Remote Sensing Applications: Society and Environment;2024-08

2. Atmospheric and Radiometric Normalization of Satellite Images for Landscape-Level Environmental Monitoring: The Case of The Mediterranean Region;Mimarlık Bilimleri ve Uygulamaları Dergisi (MBUD);2024-06-25

3. Spectral mixture analysis for weed traits identification under varying resolutions and growth stages;Computers and Electronics in Agriculture;2024-05

4. Optimal feature extraction from multidimensional remote sensing data for orchard identification based on deep learning methods;Journal of Applied Remote Sensing;2024-02-10

5. Multi-year mapping of cropping systems in regions with smallholder farms from Sentinel-2 images in Google Earth engine;GIScience & Remote Sensing;2024-02-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3