光谱学与光谱分析 |
|
|
|
|
|
Study on the Main Influencing Factors of Black Soil Spectral Characteristics |
LIU Huan-jun1, YU Wan-tai1, ZHANG Xin-le2, MA Qiang1, ZHOU Hua1, JIANG Zi-shao1 |
1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China 2. College of Resources and Environmental Sciences, Northeast Agricultural University, Harbin 150030, China |
|
|
Abstract To develop soil properties quick measuring methods, promote the development of quantitatively remote sensing studies relating to terrestrial ecosystem, and deepen the application of remote sensing in agriculture, the hyperspectral reflectance of black soil in Songnen Plain, northeast China, was analyzed with spectral analysis methods (continuum removal, spectral angle match and spectral feature fitting) and statistic methods to discover the reflectance spectral characteristics and its influencing factors. The results are as follows: the soil parent material determines the basic characteristics of reflectance of the black soil, which is the mixture of montmorillonite and illite, and consistent with mineral analysis result. Organic matter is the main factor determining the curve shape of black soil reflectance in the region shorter than 1 000 nm, and indirectly influencing the reflectance in the region longer than 1 000 nm because of the correlation with soil moisture and mechanical composition. The varying process of soil reflectance with changing soil moisture can be quantitatively described with cubic equation, and moisture mainly changes the reflectance value but not the curve shape. Black soil reflectance is not influenced significantly by Fe, which is different from soils of south China. Roughness mainly impacts on the soil reflectance value but not the shape feature. The spectral feature of straw reflectance is remarkably different to that of black soil, and impacts on both the value and curve shape of black soil reflectance. Different soil tillage measurements result in different moisture holding ability and the amount of straw for different farm fields, and influence the reflectance further, with the order of soil reflectance from high to low is: no tillage, moldboard tillage, combination tillage, reduced tillage, and rotary tillage.
|
Received: 2008-10-18
Accepted: 2009-01-22
|
|
Corresponding Authors:
LIU Huan-jun
E-mail: hjliu@iae.ac.cn,huanjunliu@gmail.com
|
|
[1] XU Bin-bin(徐彬彬). Soils(土壤), 2000, 32(6): 281. [2] Martin P D, Malley D F, Manning G, et al. Can. J. Soil Sci, 2002, 82: 413. [3] Fox G A, Sabbagh G J. Soil Sci. Soc. Am. J., 2002, 66: 1922. [4] Odlare M, Svensson K, Pell M. Geoderma, 2005, 126(3-4): 193. [5] ZHANG Ren-hua(张仁华). Experimental Remote Sensing Model and Ground Foundation(实验遥感模型及地面基础). Beijing: Science Press(北京:科学出版社), 1996. [6] LIU Huan-jun, ZHANG Bai, ZHAO Jun, et al(刘焕军, 张 柏, 赵 军, 等). Acta Pedologica Sinica(土壤学报), 2007, 44(1): 27. [7] LIU Huan-jun, ZHANG Bai, SONG Kai-shan, et al(刘焕军, 张 柏, 宋开山, 等). Journal of the Graduate School of the Chinese Academy of Sciences(中国科学院研究生院学报), 2008, 25(4): 506. [8] Kruse F A, Lefkoff A B, Boardman J W, et al. Remote Sensing of Environment, 1993, 44: 145. [9] FENG Jun, ZHANG Li-xin, YANG Zhi-chao, et al(冯 君, 张立新, 杨志超, 等). Global Geology(世界地质), 2006, 25(4): 380. [10] Clark R N, Swayze G A, Wise R, et al. USGS Digital Spectral Library Splib05a, U.S. Geological Survey, Open File Report, 2003, 3: 395. [11] HUANG Ying-feng, LIU Teng-hui(黄应丰, 刘腾辉). Chinese Journal of Soil Science(土壤通报), 1989, 20(4): 158, 176. [12] HE Ting, WANG Jing, CHENG Ye, et al(何 挺, 王 静, 程 烨, 等). Geography and Geo-Information Science(地理与地理信息科学), 2006, 3(2): 30. [13] LIU Huan-jun, ZHANG Bai, LIU Zhi-ming, et al(刘焕军, 张 柏, 刘志明, 等). Journal of the Graduate School of the Chinese Academy of Sciences(中国科学院研究生院学报), 2007, 24(4): 439. [14] LIU Huan-jun, ZHANG Bai, SONG Kai-shan, et al(刘焕军, 张 柏, 宋开山, 等). Journal of Remote Sensing (遥感学报), 2008, 12(1): 119. [15] Bannari A, Pacheco A, Staenz K, et al. Remote Sensing of Environment, 2006, 104(4): 447. [16] YU Tong-yan, ZHANG Xing-yi, ZHANG Shao-liang, et al(于同艳, 张兴义, 张少良, 等). Bulletin of Soil and Water Conservation(水土保持通报), 2007, 27(5): 71.
|
[1] |
LEI Hong-jun1, YANG Guang1, PAN Hong-wei1*, WANG Yi-fei1, YI Jun2, WANG Ke-ke2, WANG Guo-hao2, TONG Wen-bin1, SHI Li-li1. Influence of Hydrochemical Ions on Three-Dimensional Fluorescence
Spectrum of Dissolved Organic Matter in the Water Environment
and the Proposed Classification Pretreatment Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 134-140. |
[2] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
[3] |
HE Qing-yuan1, 2, REN Yi1, 2, LIU Jing-hua1, 2, LIU Li1, 2, YANG Hao1, 2, LI Zheng-peng1, 2, ZHAN Qiu-wen1, 2*. Study on Rapid Determination of Qualities of Alfalfa Hay Based on NIRS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3753-3757. |
[4] |
YANG Ke-li1, 2, PENG Jiao-yu1, 2, DONG Ya-ping1, 2*, LIU Xin1, 2, LI Wu1, 3, LIU Hai-ning1, 3. Spectroscopic Characterization of Dissolved Organic Matter Isolated From Solar Pond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3775-3780. |
[5] |
CUI Song1, 2, BU Xin-yu1, 2, ZHANG Fu-xiang1, 2. Spectroscopic Characterization of Dissolved Organic Matter in Fresh Snow From Harbin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3937-3945. |
[6] |
LIU Wei1, 2, ZHANG Peng-yu1, 2, WU Na1, 2. The Spectroscopic Analysis of Corrosion Products on Gold-Painted Copper-Based Bodhisattva (Guanyin) in Half Lotus Position From National Museum of China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3832-3839. |
[7] |
ZHU Zhi-cheng1, WU Yong-feng2*, MA Jun-cheng2, JI Lin2, LIU Bin-hui3*, JIN Hai-liang1*. Response of Winter Wheat Canopy Spectra to Chlorophyll Changes Under Water Stress Based on Unmanned Aerial Vehicle Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3524-3534. |
[8] |
LIU Wen-bo, LIU Jin, HAN Tong-shuai*, GE Qing, LIU Rong. Simulation of the Effect of Dermal Thickness on Non-Invasive Blood Glucose Measurement by Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2699-2704. |
[9] |
DENG Yun1, 2, NIU Zhao-wen1, 2, FENG Qi-yao1, 2, WANG Yu1, 2*. A Novel Hyperspectral Prediction Model of Organic Matter in Red Soil Based on Improved Temporal Convolutional Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2942-2951. |
[10] |
YANG Xin1, 2, XIA Min1, 2, YE Yin1, 2*, WANG Jing1, 2. Spatiotemporal Distribution Characteristics of Dissolved Organic Matter Spectrum in the Agricultural Watershed of Dianbu River[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2983-2988. |
[11] |
CAI Hai-hui1, ZHOU Ling2, SHI Zhou3, JI Wen-jun4, LUO De-fang1, PENG Jie1, FENG Chun-hui5*. Hyperspectral Inversion of Soil Organic Matter in Jujube Orchard
in Southern Xinjiang Using CARS-BPNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2568-2573. |
[12] |
XIA Chen-zhen1, 2, 3, JIANG Yan-yan4, ZHANG Xing-yu1, 2, 3, SHA Ye5, CUI Shuai1, 2, 3, MI Guo-hua5, GAO Qiang1, 2, 3, ZHANG Yue1, 2, 3*. Estimation of Soil Organic Matter in Maize Field of Black Soil Area Based on UAV Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2617-2626. |
[13] |
ZHANG Hai-liang1, XIE Chao-yong1, TIAN Peng1, ZHAN Bai-shao1, CHEN Zai-liang1, LUO Wei1*, LIU Xue-mei2*. Measurement of Soil Organic Matter and Total Nitrogen Based on Visible/Near Infrared Spectroscopy and Data-Driven Machine Learning Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2226-2231. |
[14] |
QIU Cun-pu1, 2, TANG Xiao-xue2, WEN Xi-xian4, MA Xin-ling2, 3, XIA Ming-ming2, 3, LI Zhong-pei2, 3, WU Meng2, 3, LI Gui-long2, 3, LIU Kai2, 3, LIU Kai-li4, LIU Ming2, 3*. Effects of Calcium Salts on the Decomposition Process of Straw and the Characteristics of Three-Dimensional Excitation-Emission Matrices of the Dissolved Organic Matter in Decomposition Products[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2301-2307. |
[15] |
ZHANG Jing, GUO Zhen, WANG Si-hua, YUE Ming-hui, ZHANG Shan-shan, PENG Hui-hui, YIN Xiang, DU Juan*, MA Cheng-ye*. Comparison of Methods for Water Content in Rice by Portable Near-Infrared and Visible Light Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2059-2066. |
|
|
|
|