Remote Sensing Technology and Application, Volume. 39, Issue 5, 1054(2024)

Research on the Inversion Method of Desert Grassland Fractional Vegetation Cover based on Collaborative UAV-Satellite Remote Sensing

Kexin NING, Chenxi SUN, Huawei WAN, and Yanmin SHUAI
Author Affiliations
  • School of Surveying and Mapping and Geographical Sciences,Liaoning University of;Engineering and Technology, Fuxin123000, China
  • show less
    References(33)

    [1] LIU Y, LI L, CHEN X et al. Temporal-spatial variations and influencing factors of vegetation cover in Xinjiang from 1982 to 2013 based on GIMMS-NDVI3g. Global and Planetary Change, 169, 145-155(2018).

    [2] ZHANG S, CHEN H, FU Y et al. Fractional vegetation cover estimation of different vegetation types in the Qaidam Basin. Sustainability, 11, 864(2019).

    [3] ZHANG W, YANG X, MANLIKE A et al. Comparative study of remote sensing estimation methods for grassland fractional vegetation coverage–A grassland case study performed in Ili prefecture, Xinjiang, China. International Journal of Remote Sensing, 40, 2243-2258(2019).

    [4] CHENG Junyi, ZHANG Xianfeng, SUN Min et al. Random forest model for the estimation of fractional vegetation coverage based on a UAV-Ground Co-sampling strategy. Acta Scientiarum Naturalium Universitatis Pekinensis, 56, 143-154(2020).

    [5] GE J, MENG B, LIANG T et al. Modeling alpine grassland cover based on MODIS data and support vector machine regression in the headwater region of the Huanghe River, China. Remote Sensing of Environment, 218, 162-173(2018).

    [6] ZHAO Yanhong, HOU Peng, JIANG Jinbao et al. Progress in quantitative inversion of vegetation ecological remote sensing parameters. National Remote Sensing Bulletin, 25, 2173-2197(2021).

    [7] SHEN Beibei, WEI Yibo, MA Leichao et al. Spatiotemporal changes and drivers of fractional vegetation cover in Inner Mongolia grassland of China. Transactions of the Chinese Society of Agricultural Engineering, 38, 118-126(2022).

    [8] TANG L, HE M, LI X. Verification of fractional vegetation coverage and NDVI of desert vegetation via UAVRS technology. Remote Sensing, 12, 1742(2020).

    [9] YU Hui, WU Yufeng, JIN Yi et al. Analysis of the spatio-temporal patterns of vegetation fractional coverage in the Hexi arid area. Pratacultural Science, 36, 623-631(2019).

    [10] CHEN Qian, LI Xiaosong, XIU Xiaomin et al. Large scale shrub coverage mapping of sandy land at 30 m resolution based on Google Earth Engine and machine learning. Acta Ecologica Sinica, 39, 4056-4069(2019).

    [11] CHEN J, ZHAO X, ZHANG H et al. Evaluation of the accuracy of the field quadrat survey of alpine grassland fractional vegetation cover based on the satellite remote sensing pixel scale. ISPRS International Journal of Geo-Information, 8, 497(2019).

    [12] SUN Gang, HUANG Wenjiang, CHEN Pengfei et al. Adva-nces in UAV-based multispectral remote sensing applications. Transactions of the Chinese Society for Agricultural Machinery, 49, 1-17(2018).

    [13] GAO Juanting, SUN Feida, HUO Fei et al. Application and evaluation of Unmanned Aerial Vehicle Remote Sensing in grasslan animal and plant monitoring. Acta Agrestia Sinica, 29, 1-9(2021).

    [14] XU Wendi, WANG Yueyue, YANG Yanjing et al. Realistic 3D Modeling and application based on Beijing No.3 Satellite data. Satellite Application, 40-46(2022).

    [15] WU Zhaocong, YU Wenyun. Research on atmospheric correction methods of SPOT-7 inage of different landcover types. Journal of Geomatics, 46, 7-12(2021).

    [16] ROUSE J W, HAAS R H, SCHELL J A et al. Monitoring vegetation systems in the Great Plains with ERTS. NASA Spec. Publ, 351, 309-317(1974).

    [17] BAI Yanying, GAO Julin, ZHANG Baolin. Monitoring of crops growth based on NDVI and EVI. Transactions of the Chinese Society for Agricultural Machinery, 50, 153-161(2019).

    [18] BIRTH G S, MCVEY G R. Measuring the color of growing turf with a reflectance spectrophotometer 1. Agronomy Journal, 60, 640-643(1968).

    [19] TUCKER C J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127-150(1979).

    [20] RICHARDSON A J, EVERITT J H. Using spectral vegetation indices to estimate rangeland productivity. Geocarto International, 7, 63-69(1992).

    [21] HUETE A R. A Soil-Adjusted Vegetation Index(SAVI). Remote Sensing of Environment, 25, 295-309(1988).

    [22] QI J, CHEHBOUNI A, HUETE A R et al. A modified soil adjusted vegetation index. Remote Sensing of Environment, 48, 119-126(1994).

    [23] FU Shuai, ZHANG Yonghui, LI Jialv et al. Influence of different vegetation indices and heights of UAVs on the accuracy of grassland coverage estimation. Pratacultural Science, 38, 11-19(2021).

    [24] LIN X, CHEN J, LOU P et al. Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features. Plant Methods, 17, 1-18(2021).

    [25] LIU Lin, ZHENG Xingming, JIANG Tao et al. Extraction method of fractional vegetation cover from Unmanned Aerial Vehicle Remote Sensing:A review. Journal of Northeast Normal University (Natural Science Edition), 53, 151-160(2021).

    [26] HUANG Xin, LIU Jianhong, SHEN Kejian et al. Grassland yield change in Qinghai Province based on MODIS data. Arid Land Geography, 43, 715-725(2020).

    [27] LI Miaomiao, WU Bingfang, YAN Changzhen et al. Estimation of vegetation fraction in the upper basin of Miyun Reservoir by remote sensing. Resources Science, 26, 153-159(2004).

    [28] BREIMAN L. Random forests. Machine Learning, 45, 5-32(2001).

    [29] YE Jingyun, WU Bo, JIA Xiaohong et al. Estimation of above-ground biomass of sparse desert vegetation based on remote sensing techniques in hyper-arid area. Arid Land Geography, 45, 478-487(2022).

    [30] YUE Jian, MU Guijin, TANG Zihua et al. Remote sensing estimation models for vegetation coverage in desert regions of Xinjiang based on NDVI. Arid Land Geography, 43, 153-160(2020).

    [31] XIA Xiuli, PAN Jie, GAO Xiaoqian et al. Analysis of the directional characteristics of the reflection spectrum of black pine canopy. Spectroscopy and Spectral Analysis, 39, 2540-2545(2019).

    [32] LI Yunmei, WANG Renchao, WANG Xiuzhen et al. Dynamics of rice canopy bidirectional reflectance. Journal of Zhejiang University(Agriculture and Life Sciences), 27, 39-44(2001).

    [33] ZHANG Xuehong, TIAN Qingjiu, SHEN Runping. Analysis of directional characteristics of winter wheat canopy spectra. Spectroscopy and Spectral Analysis, 30, 1600-1605(2010).

    Tools

    Get Citation

    Copy Citation Text

    Kexin NING, Chenxi SUN, Huawei WAN, Yanmin SHUAI. Research on the Inversion Method of Desert Grassland Fractional Vegetation Cover based on Collaborative UAV-Satellite Remote Sensing[J]. Remote Sensing Technology and Application, 2024, 39(5): 1054

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Aug. 15, 2023

    Accepted: --

    Published Online: Jan. 7, 2025

    The Author Email:

    DOI:10.11873/j.issn.1004-0323.2024.5.1054

    Topics