Remote Sensing Technology and Application, Volume. 39, Issue 1, 67(2024)

Comparative Study on Chlorophyll-content Inversion Models of Bamboo forest based on Space-sky Remote Sensing Data

Linghan SONG1,2、*, Xiaojie LIU1,2, Canghao ZHANG1,2, Shuangwen ZHONG1,2, Jian LIU1,2, Kunyong YU1,2, and Fan WANG1,2
Author Affiliations
  • 1College of Forestry,Fujian Agriculture and Forestry University,Fuzhou 350002,China
  • 2Fujian Province Key Laboratory of 3S Technology and Optimal Utilization of Resources,Fuzhou 350002,China
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    References(35)

    [1] MA Zhanlin, WEN Feng, ZHOU Yingjie et al. Regional winter-wheat yield estimation based on coupling of Machine Learning Algorithm and Crop Growth Model. Transactions of the Chinese Society of Agricultural Machinery, 54, 136-147(2023).

    [2] ZHEN J, JIANG X, XU Y et al. Mapping leaf chlorophyll content of mangrove forests with Sentinel-2 images of four periods. International Journal of Applied Earth Observations and Geoinformation, 102, 87(2021).

    [3] QIAO L, TANG W, GAO D et al. UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages. Computers and Electronics in Agriculture, 196, 106775(2022).

    [4] ZHUO W, WU N, SHI R et al. UAV mapping of the chlorophyll content in a tidal flat wetland using a combination of spectral and frequency indices. Remote Sensing, 14, 827(2022).

    [5] TIAN Minglu, BAN Songtao, CHANG Qingrui et al. Estimation of SPAD value of cotton leaf using hyperspectral images from UAV-based imaging spectroradiometer. Transactions of the Chinese Society of Agricultural Machinery, 47, 285-293(2016).

    [6] BIAN Mingbo, MA Yanpeng, FAN Yiguang et al. Estimation of potato chlorophyll content based on UAV multi-source sensor. Transactions of the Chinese Society of Agricultural Machinery, 54, 240-248(2023).

    [7] WU Jian, PENG Daoli. Advances in researches on hyperspectral remote sensing forestry information-extracting technology. Spectroscopy and Spectral Analysis, 31, 2305-2312(2011).

    [8] CHEN Peng, FENG Haikuan, LI Changchun et al. Estimation of chlorophyll content in potato using fusion of texture and spectral features derived from UAV multispectral image. Transactions of the Chinese Society of Agricultural Engineering, 35, 63-74(2019).

    [9] ZHAI W, Li C, CHENG Q et al. Exploring multisource feature fusion and stacking ensemble learning for accurate estimation of maize chlorophyll content using Unmanned Aerial Vehicle remote sensing. Remote Sensing, 15, 3454(2023).

    [10] FU Bolin, DENG Liangchao, ZHANG Li et al. Estimation of mangrove canopy chlorophyll content using hyperspectral image and stacking ensemble regression algorithm. National Remote Sensing Bulletin, 26, 1182-1205(2022).

    [11] SEBASTIAN E J, ANDRES F, PEDRO R et al. Machine learning assisted remote forestry health assessment:A comprehensive state of the art review. Frontiers in plant science, 14, 1139232(2023).

    [12] ZHANG Zhuoran, CHANG Qingrui, ZHANG Tinglong et al. Hyperspectral estimation of chlorophyII content of cotton canopy leaves based on support vector machine. Journal of Northwest A&F University(Natural Science Edition), 46, 39-45(2018).

    [13] WANG Ninayi, YU Fenghua, XU Tongyu et al. Hyperspectral retrieval modelling for chlorophyll contents of japonica-rice leaves based on machine learning. Acta Agriculturae Zhejiangensis, 32, 359-366(2020).

    [14] Na T, Qingrui C, Youming Z. Estimation of apple tree leaf chlorophyll content based on Machine Learning Methods. Remote Sensing, 13, 3902(2021).

    [15] Chenchen W, Juan L, Chunsheng Q et al. Identifying the drivers of chlorophyll-a dynamics in a landscape lake recharged by reclaimed water using interpretable machine learning. The Science of the Total Environment, 906, 167483(2023).

    [16] LI Hesheng. Principles and techniques of plant physiological biochemical experiment. Principles and Techniques of Plant Physiological Biochemical Experiment(2000).

    [17] LI Zhe, HU Die, ZHAO Deng Zhong et al. Research advance of broadband vegetation index using remotely sensed images. Journal of Yangtze River Scientific Research Institute, 32, 125-130(2015).

    [18] XIONG Yuan, XU Weiheng, HUANG Shaodong et al. Fine extraction of forest burned area by using fusion visible light UAV image with Sentinel-2A image. Journal of Southwest Forestry University(Natural Sciences), 41, 103-110(2021).

    [19] LESSEL J, CECCATO P. Creating a basic customizable fra-mework for crop detection using Landsat imagery. International Journal of Remote Sensing, 37, 1252471-6107(2016).

    [20] MIN S D, JU K H, HAK L S. Visible and near-infrared image synthesis using PCA fusion of multiscale layers. APPlied Sciences-Basel, 10, 8702(2020).

    [21] CAO Hai Ling, WANG Zheng Hai, QIN Hao Yang et al. Inversion of LST and extraction of silicification alteration informationbased on the weighted fusion TIR data:A case study of the Uranium Polymetallic mining area in RenCha basin of Guangdong province. Journal of Remote Sensing, 27, 1691-1701(2023).

    [22] WANG Hai Hui, PENG Jia Xiong, WU Wei et al. A Study of evaluation methods on performance of the multi-source remote sensing image fusion. Computer Engineering and Applications, 33-37(2003).

    [23] AMARASINGAM N, FELIPE G, ASHAN S A S et al. Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imagery. Remote Sensing, 14, 1140(2022).

    [24] ZHANG T, HUANG M, WANG Z. Estimation of chlorophyll-a Concentration of lakes based on SVM algorithm and Landsat 8 OLI images. Environmental Science and Pollution Research International, 27, 14977-14990(2020).

    [25] XU L, HAO G, LI S et al. Prediction and sensitivity analysis of chlorophyll a based on a support vector machine regression algorithm. Environmental Monitoring and Assessment, 195, 698(2023).

    [26] STATISTICS L B, BREIMAN L. Random Forests. Machine Learning, 45, 5-32(2001).

    [27] WU Xueyan, WANG Shuihua, ZHANG Yudong. Survey on theory and application of K-Nearest-Neighbors algorithm. Computer Engineering and Applications, 53, 1-7(2017).

    [28] HU Gang, Xu Xiaoping et al. Research and recent development of image fusion at pixel level. Application Research of Computers, 650-655(2008).

    [29] LI F. Assessment of multisource remote sensing image fusion by several dissimilarity methods. Journal of Physics: Conference Series, 2031, 12016(2021).

    [30] LIU Kun, FU Jingying, LI Fei. Evaluation study of four fusion methods of GF-1 PAN and multi-spectral images. Remote Sensing Technology and Application, 30, 980-986(2015).

    [31] ZHANG Yue Qi, REN Hong Rui. Remote sensing extraction of paddy rice in Northeast China from GF-6 images by combining feature optimization and random forest. National Remote Sensing Bulletin, 27, 2153-2164(2023).

    [32] QI Wendong, ZHENG Xuechang, HE Liming et al. Remote sensing monitoring of temporal variation in cotton hail disaster based on multi-temporal Sentinel-2 image. Remote Sensing Technology and Application, 38, 566-577(2023).

    [33] JIANG Yufeng, QI Jianguo, CHEN Bowei et al. Classification of mangrove species with UAV hyperspectral imagery and Machine Learning Methods. Remote Sensing Technology and Application, 36, 1416-1424(2021).

    [34] ZHANG Dai Qing. Inversion model of chlorophyii concentration in Poyang Lake based on multi-source remote sensing information(2019).

    [35] CHENG Peng. Retrieval mechanism and model construction of chlorophyii conten in potato based on multi-source remote sensing of Unmanned Aerial Vehicle(2019).

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    Linghan SONG, Xiaojie LIU, Canghao ZHANG, Shuangwen ZHONG, Jian LIU, Kunyong YU, Fan WANG. Comparative Study on Chlorophyll-content Inversion Models of Bamboo forest based on Space-sky Remote Sensing Data[J]. Remote Sensing Technology and Application, 2024, 39(1): 67

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    Paper Information

    Category: Research Articles

    Received: Jul. 29, 2022

    Accepted: --

    Published Online: Jul. 22, 2024

    The Author Email: Linghan SONG (2124362476@qq.com)

    DOI:10.11873/j.issn.1004-0323.2024.1.0067

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