Crop classification from full-year fully-polarimetric L-band UAVSAR time-series using the Random Forest algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Crop classification from full-year fully-polarimetric L-band UAVSAR time-series using the Random Forest algorithm

Published:2020-05 Issue: Volume:87 Page:102032
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Li Huapeng,Zhang Ce,Zhang Shuqing,Atkinson Peter M.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Jilin Province Science and Technology Development Program

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference46 articles.

1. A new method for crop classification combining time series of radar images and crop phenology information;Bargiel;Remote Sens. Environ.,2017

2. Random forests in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogramm. Remote Sens.,2016

3. Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program;Boryan;Geocarto Int.,2011

4. Random forests;Breiman;Mach. Learn.,2001

5. Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data;Canisius;Remote Sens. Environ.,2018

Cited by 50 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. Ground-Based Hyperspectral Estimation of Maize Leaf Chlorophyll Content Considering Phenological Characteristics;Remote Sensing;2024-06-13

2. Mapping the dynamics of intensive forage acreage during 2008–2022 in Google Earth Engine using time series Landsat images and a phenology-based algorithm;Computers and Electronics in Agriculture;2024-06

3. Cross-Regional Crop Classification Based on Sentinel-2;Agronomy;2024-05-20

4. Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping;Remote Sensing;2024-04-20

5. WPS:A whole phenology-based spectral feature selection method for mapping winter crop from time-series images;ISPRS Journal of Photogrammetry and Remote Sensing;2024-04

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