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PUBMED FOR HANDHELDS

Journal Abstract Search


402 related items for PubMed ID: 33933773

  • 21. Inversion models of aboveground grassland biomass in Xinjiang based on multisource data.
    Zhang RP, Zhou JH, Guo J, Miao YH, Zhang LL.
    Front Plant Sci; 2023; 14():1152432. PubMed ID: 36993850
    [Abstract] [Full Text] [Related]

  • 22. The Estimation of Grassland Aboveground Biomass and Analysis of Its Response to Climatic Factors Using a Random Forest Algorithm in Xinjiang, China.
    Dong P, Jing C, Wang G, Shao Y, Gao Y.
    Plants (Basel); 2024 Feb 17; 13(4):. PubMed ID: 38498537
    [Abstract] [Full Text] [Related]

  • 23. Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras.
    Cen H, Wan L, Zhu J, Li Y, Li X, Zhu Y, Weng H, Wu W, Yin W, Xu C, Bao Y, Feng L, Shou J, He Y.
    Plant Methods; 2019 Feb 17; 15():32. PubMed ID: 30972143
    [Abstract] [Full Text] [Related]

  • 24. Land damage assessment using maize aboveground biomass estimated from unmanned aerial vehicle in high groundwater level regions affected by underground coal mining.
    Ren H, Xiao W, Zhao Y, Hu Z.
    Environ Sci Pollut Res Int; 2020 Jun 17; 27(17):21666-21679. PubMed ID: 32279270
    [Abstract] [Full Text] [Related]

  • 25. [Inversion of aboveground biomass of Pinus tabuliformis plantations based on GF-2 data].
    Gou RK, Chen JQ, Duan GH, Yang R, Bu YK, Zhao J, Zhao PX.
    Ying Yong Sheng Tai Xue Bao; 2019 Dec 17; 30(12):4031-4040. PubMed ID: 31840447
    [Abstract] [Full Text] [Related]

  • 26. Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR.
    Garcia M, Saatchi S, Ferraz A, Silva CA, Ustin S, Koltunov A, Balzter H.
    Carbon Balance Manag; 2017 Dec 17; 12(1):4. PubMed ID: 28413848
    [Abstract] [Full Text] [Related]

  • 27. Prediction of aboveground grassland biomass on the Loess Plateau, China, using a random forest algorithm.
    Wang Y, Wu G, Deng L, Tang Z, Wang K, Sun W, Shangguan Z.
    Sci Rep; 2017 Jul 31; 7(1):6940. PubMed ID: 28761059
    [Abstract] [Full Text] [Related]

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  • 29. Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models.
    Bai G, Koehler-Cole K, Scoby D, Thapa VR, Basche A, Ge Y.
    Front Plant Sci; 2023 Jul 31; 14():1277672. PubMed ID: 38259938
    [Abstract] [Full Text] [Related]

  • 30. Natural vegetation biomass and the dimension of forest quality in tropical agricultural landscapes.
    de Toledo RM, Pivello VR, Perring MP, Verdade LM.
    Ecol Appl; 2024 Apr 31; 34(3):e2950. PubMed ID: 38404050
    [Abstract] [Full Text] [Related]

  • 31. Spatiotemporal dynamics of grassland aboveground biomass and its driving factors in North China over the past 20 years.
    Ge J, Hou M, Liang T, Feng Q, Meng X, Liu J, Bao X, Gao H.
    Sci Total Environ; 2022 Jun 20; 826():154226. PubMed ID: 35240176
    [Abstract] [Full Text] [Related]

  • 32. [Estimation and spatial-temporal pattern of forest aboveground biomass and NPP in Heihe Region, Heilongjiang Province, China].
    Zhao YH, Li SQ, Zhen Z, Li FR, Wei QB.
    Ying Yong Sheng Tai Xue Bao; 2016 Oct 20; 27(10):3070-3080. PubMed ID: 29726130
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  • 36. Capturing woody aboveground biomass historical change and potential under climate change using Landsat time-series for afforestation in dryland of China.
    Wang Z, Shi Y, Tang Q, Cheng M, Zhang Y.
    Sci Total Environ; 2024 Sep 15; 943():173886. PubMed ID: 38857791
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  • 38. [Estimation of soil moisture and organic matter content in saline alkali farmland by using CARS algorithm combined with covariates].
    Ding QD, Wang YJ, Zhang JH, Jia KL, Huang HY.
    Ying Yong Sheng Tai Xue Bao; 2024 May 15; 35(5):1321-1330. PubMed ID: 38886431
    [Abstract] [Full Text] [Related]

  • 39. An evaluation model for aboveground biomass based on hyperspectral data from field and TM8 in Khorchin grassland, China.
    Zhang X, Chen X, Tian M, Fan Y, Ma J, Xing D.
    PLoS One; 2020 May 15; 15(2):e0223934. PubMed ID: 32109248
    [Abstract] [Full Text] [Related]

  • 40. Mapping Aboveground Biomass of Four Typical Vegetation Types in the Poyang Lake Wetlands Based on Random Forest Modelling and Landsat Images.
    Wan R, Wang P, Wang X, Yao X, Dai X.
    Front Plant Sci; 2019 May 15; 10():1281. PubMed ID: 31681377
    [Abstract] [Full Text] [Related]


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