Estimation of biomass in wheat using random forest regression algorithm and remote sensing data-Reference-Cited by-同舟云学术

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Estimation of biomass in wheat using random forest regression algorithm and remote sensing data

Published:2016-06 Issue:3 Volume:4 Page:212-219
ISSN:2214-5141
Container-title:The Crop Journal
language:en
Short-container-title:The Crop Journal

Author:

Wang Li'ai,Zhou Xudong,Zhu Xinkai,Dong Zhaodi,Guo Wenshan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Education Department of Jiangsu Province

Six Talent Summit Project of Jiangsu Province

Science and Technology Innovation Development Foundation of Yangzhou University

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science

Reference55 articles.

1. Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops;Kross;Int. J. Appl. Earth Obs. Geoinf.,2015

2. Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements;Fu;Comput. Electron. Argic.,2014

3. Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages;Gnyp;Field Crops Res.,2014

4. Estimating the leaf area index, height and biomass of maize using HJ-1 and RADARSAT-2;Gao;Int. J. Appl. Earth Obs. Geoinf.,2013

5. Combined multi-temporal optical and radar parameters for estimating LAI and biomass in winter wheat using HJ and RADARSAR-2 data;Jin;Remote Sens.,2015

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