Removal of environmental influences for estimating soil texture fractions based on ZY1 satellite hyperspectral images-Reference-Cited by-同舟云学术

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Removal of environmental influences for estimating soil texture fractions based on ZY1 satellite hyperspectral images

Published:2024-03 Issue: Volume:236 Page:107713
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Ding Songtao,Zhang Xia,Shang Kun^ORCID,Xiao Qing,Wang Weihao,UR Rehman Arif

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference64 articles.

1. Semisupervised band selection from hyperspectral images using levy flight-based genetic algorithm;Aghaee;IEEE Geosci. Remote Sens. Lett.,2022

2. Proximal sensing applied to soil texture prediction and mapping in Brazil;Andrade;Geoderma Reg.,2020

3. Carbonates and organic matter in soils characterized by reflected energy from 350–25000 nm wavelength;Asgari;J. Mt. Sci.,2020

4. Developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system;Azadnia;Measurement,2022

5. Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran;Azizi;Soil Tillage Res.,2023

Cited by 2 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. Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral responses;European Journal of Agronomy;2024-10

2. Soil Organic Carbon Prediction Based on Vis–NIR Spectral Classification Data Using GWPCA–FCM Algorithm;Sensors;2024-07-30

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