Hyperspectral prediction model of soil Cu content based on WOA-SPA algorithm-Reference-Cited by-同舟云学术

Hyperspectral prediction model of soil Cu content based on WOA-SPA algorithm

Published:2024-08-30 Issue:18 Volume:45 Page:6408-6424
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Feng Xiqin¹,Tian Anhong¹²,Fu Chengbiao¹

Affiliation:

1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

2. Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China

Funder

National Natural Science Foundation of China

Reserve Talents Project for Young and Middle-aged Academic and Technical Leaders

Yunnan Province “Xing Dian Ying Talent Support Programme” Young Talents Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2388877

Reference28 articles.

1. Development of a soil heavy metal estimation method based on a spectral index: Combining fractional-order derivative pretreatment and the absorption mechanism

2. Exploring the potential of canopy reflectance spectra for estimating organic carbon content of aboveground vegetation in coastal wetlands

3. Evaluation of bio-inspired optimization algorithms hybrid with artificial neural network for reference crop evapotranspiration estimation

4. Developing pedotransfer functions to harmonize extractable soil phosphorus content measured with different methods: A case study across the mainland of France

5. Study on Soil Water Retrieval Technology of Yellow River Source Based on SPA Algorithm and Machine Learning;Jiang C. L.;Spectroscopy and Spectral Analysis,2023