Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Research on Maize Biomass Inversion Methods in Northeast China Based on Sentinel-1 Satellite Data

Not Accessible

Your library or personal account may give you access

Abstract

Sentinel-1 data was trained to estimate maize biomass. Classical machine learning techniques (SVR, RF and XGBoost) were used. The results showed that RF had better performance, R2 was 0.894 and MSE was 1.754 Kg/m2.

© 2019 The Author(s)

PDF Article
More Like This
Forest Type Classification Method Using Multi-source Remote Sensing Data in Northeast China

Xiaohu Zhou, Lingjia Gu, and Ruizhi Ren
JTu4A.107 Frontiers in Optics (FiO) 2019

Estimating Aboveground Biomass and Nitrogen Concentration in Grasslands with Multispectral and Hyperspectral Satellite Data

Anne Schucknecht, Sophie Reinermann, and Ralf Kiese
HM1C.2 Hyperspectral/Multispectral Imaging and Sounding of the Environment (HISE) 2023

Snow Cover Monitoring Algorithm in Northeast China Using FY-2G Satellite Data

Tong Wu, Lingjia Gu, Ruizhi Ren, and Haoyang Fu
JTu3A.124 Frontiers in Optics (FiO) 2018

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved