Huanjun Liu
Chinese Academy of Sciences
80 Papers
55 Citations
Huanjun Liu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Environmental science & Soil organic matter. The author has an hindex of 10, co-authored 53 publications. Previous affiliations of Huanjun Liu include Agriculture and Agri-Food Canada & Northeast Agricultural University.
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Papers
Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations
TL;DR: Wang et al. as mentioned in this paper used principal components analysis and fuzzy k-means method to calculate the optimal soil spectral classification, which significantly improved the predictions of soil organic matter (R 2 = 0.899; RPD = 3.158).
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Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data
Xiangtian Meng,Yilin Bao,Jiangui Liu,Huanjun Liu,Huanjun Liu,Xinle Zhang,Yu Zhang,Peng Wang,Haitao Tang,Fan-chang Kong +9 more
TL;DR: This study provides a highly robust and accurate method for predicting and mapping regional SOC contents and indicates that at a low decomposition scale, DWT can effectively eliminate the noise in satellite hyperspectral data, and the FDR combined withDWT can improve the SOC prediction accuracy significantly.
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Monthly composites from Sentinel-1 and Sentinel-2 images for regional major crop mapping with Google Earth Engine
TL;DR: Wang et al. as discussed by the authors used Google Earth Engine (GEE) and Sentinel-1 and Sentinel2 images to map the distribution of crops in Heilongjiang Province using a Random Forest (RF) classifier.
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Comparison of different satellite bands and vegetation indices for estimation of soil organic matter based on simulated spectral configuration
TL;DR: In this paper, the authors investigated new methods for SOM estimation with the following three objectives: (1) analyze the reflectance changes of simulated bands for different soil organic matter content (SOM) using the spectral response function of various satellite sensors; (2) develop optimal difference index (ODI), optimal ratio index (ORI), and optimal normalized vegetation difference index(ONDVI) algorithms for estimating SOM based on simulated band reflectance; (3) evaluate all bands, ODI, ORI, ONDVI, and OEVI for all simulated bands derived from the data
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Vis-SWIR spectral prediction model for soil organic matter with different grouping strategies
Yilin Bao,Xiangtian Meng,Susan L. Ustin,Xiang Wang,Xinle Zhang,Huanjun Liu,Huanjun Liu,Haitao Tang +7 more
TL;DR: In this paper, the effect of soil organic matter (SOM) on the spectral characteristics of soil differs among soil samples of different soil types with various mineral contents or mechanical compositions.
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