| 光谱学与光谱分析 |
|
|
|
|
|
| The Inversion Processing of Vegetation Biomass along Yongding River Based on Multispectral Information |
| HE Cheng1, FENG Zhong-ke1*, HAN Xu1, SUN Meng-ying1, GONG Yin-xi1, GAO Yuan1, DONG Bin2 |
1. Institute of GIS, RS ＆ GPS, Beijing Forestry University, Beijing 100083, China
2. College of Science, Anhui Agricultural University, Hefei 230036, China |
|
|
|
|
Abstract Researching on vegetation biomass using the traditional measurement method is time-consuming and hard sledding, and prediction precision of biomass is always not good because of uncertain influencing factors. The present article aims at the current situation of Hebei-Beijing reach along Yongding River, using the Thematic Mapper data in this place on 20th July 2009 as source data, with the 30 meters Digital Elevation Model data in Beijing and other auxiliary information, meanwhile through field observation data, to find out the possible functional relationship along vegetation biomass and remote sensing image factor. The authros sorted out the vegetation biomass and remote sensing image factor on the sample plot, then set up an inverse model through multiple linear regression analysis, and analyzed the precision of inverse model. After calculating the measured value and predicted value, the authors got the global relative error is -0.025%, the average relative error is -0.016%, and the general predictive precision is 84.56%. The establishment of this model is able to investigate eco-environmental factors on large range timely, quickly and accurately, also can provide the experimental base for the eco-environmental survey on river basin, and make the foundation for the problem diagnosis of ecological environment and the research on ecosystem degradation mechanism of Yongding River.
|
|
Received: 2012-04-30
Accepted: 2012-09-12
|
|
|
|
Corresponding Authors:
FENG Zhong-ke
E-mail: fengzhongke@126.com
|
|
[1] DAI Xiao-hua, YU Shi-xiao(戴小华, 余世孝). Chinese Journal of Ecology(生态学杂志), 2004, 23(4): 92.
[2] XUE Li-hong, CAO Wei-xing, LUO Wei-hong, et al(薛利宏, 曹卫星, 罗卫红, 等). Acta Phytoecologica Sinica(植物生态学报), 2004, 28(1): 47.
[3] HE Cheng, FENG Zhong-ke, YUAN Jin-jun, et al(何 诚，冯仲科，袁进军，等). Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2012, 32(6): 1628.
[4] Hame T, Salli A, Andersson K. International Journal of Remote Sensing, 1997, 18(7): 3211.
[5] DE Jong S M S, Pebesma E J, Lacaze B. International Journal of Remote Sensing, 2003, 24(7): 1505.
[6] ZHANG Hui-fang, ZHANG Xiao-li, HUANG Yu(张慧芳, 张晓丽, 黄 瑜). World Forestry Research(世界林业研究), 2007, 20(4): 30.
[7] TONG Qing-xi, ZHENG Lan-fen, WANG Jin-nian, et al(童庆禧, 郑兰芬, 王晋年, 等). Journal for Remote Sensing(遥感学报), 1997, 1(1): 50.
[8] HE Cheng, FENG Zhong-ke, YUAN Jin-jun, et al(何 诚，冯仲科，袁进军，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2012, 28(8): 195.
[9] GAO Zhan-guo, ZHANG Li-quan(高占国, 张利权). Acta Ecologica Sinaca(生态学报), 2006, 26(3): 793.
[10] CHEN Jian, NI Shao-xiang, LI Yun-mei(陈 健, 倪绍祥, 李云梅). Remote Sensing for Land and Resources(国土资源遥感), 2008, 1(2): 62.
[11] SHAO Cheng, ZHEN Zhong-lin, DONG Hou-de(邵 成, 陈中林, 董厚德). Journal of Liaoning University(辽宁大学学报·自然科学版), 1995, 22(1): 89.
[12] Boote K J, Jones J W, Pickering N B. Agronomy Journal. 1996, 88(5): 704.
[13] XIE Yun, Kiniry J R(谢 云, Kiniry J R). Acta Agronomica Sinica(作物学报), 2002, 28(2): 190.
[14] Villalobos F J, Hall A J, Ritchie J T, et al. Agronomy Journal, 1996, 88(3): 403. |
| [1] |
XU Tian1, 2, LI Jing1, 2, LIU Zhen-hua1, 2*. Remote Sensing Inversion of Soil Manganese in Nanchuan District, Chongqing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 69-75. |
| [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] |
ZHOU Bei-bei1, LI Heng-kai1*, LONG Bei-ping2. Variation Analysis of Spectral Characteristics of Reclaimed Vegetation in an Ionic Rare Earth Mining Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3946-3954. |
| [4] |
LI Si-yuan, JIAO Jian-nan, WANG Chi*. Specular Reflection Removal Method Based on Polarization Spectrum
Fusion and Its Application in Vegetation Health Monitoring[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3607-3614. |
| [5] |
ZHENG Shu-yuan1, 2, HAI Yan1, 2, HE Meng-qi1, 2, WANG Jian-xiong1, 2. Construction of Vegetation Index in Visible Light Band of GF-6 Image With Higher Discrimination[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3509-3517. |
| [6] |
FU Xiao-man1, 2, BAO Yu-long1, 2*, Bayaer Tubuxin1, 2, JIN Eerdemutu1, 2, BAO Yu-hai1, 2. Spectral Characteristics Analysis of Desert Steppe Vegetation Based on Field Online Multi-Angle Spectrometer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3170-3179. |
| [7] |
LIU Zhao1, 2, LI Hua-peng1, CHEN Hui1, 2, ZHANG Shu-qing1*. Maize Yield Forecasting and Associated Optimum Lead Time Research Based on Temporal Remote Sensing Data and Different Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2627-2637. |
| [8] |
GAO Sha1, GAN Shu1, 2*, YUAN Xi-ping1, 3, HU Lin1, BI Rui1, LI Rao-bo1, LUO Wei-dong1. An Empirical Analysis of 3D Detection Accuracy of UAV Repeated Observation for the Typical Slope Farmland of Dongchuan Red Land[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2188-2194. |
| [9] |
MA Bao-dong, YANG Xiang-ru, JIANG Zi-wei, CHE De-fu. Influence and Quantitative Analysis of Coal Dust Retention on Reflectance Spectra and Vegetation Index of Leaves[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1947-1952. |
| [10] |
REN Hong-rui1, 2, ZHANG Yue-qi2, HE Qi-jin3, LI Rong-ping1, ZHOU Guang-sheng4, 5*. Extraction of Pddy Rice Planting Area Based on Multi-Temporal FY-3 MERSI Remote Sensing Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1606-1611. |
| [11] |
SHI Chuan-qi1, LI Yan2, HU Yu3, YU Shao-peng1*, JIN Liang2, CHEN Mei-ru1. Fluorescence Spectral Characteristics of Soil Dissolved Organic Matter in the River Wetland of Northern Cold Region, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1517-1523. |
| [12] |
FAN Yi-guang1, 3, 5, FENG Hai-kuan1, 2, 3*, LIU Yang1, 3, 4, BIAN Ming-bo1, 3, ZHAO Yu1, 3, YANG Gui-jun1, 3, QIAN Jian-guo5. Estimation of Nitrogen Content in Potato Plants Based on Spectral Spatial Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1532-1540. |
| [13] |
JIN Chun-bai1, YANG Guang1*, LU Shan2*, CHEN Qiang1, 3, ZHENG Nan1. Research on Band Selection Method Based on Subspace Division and Visual Recognition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1582-1588. |
| [14] |
MENG Hao-ran1, 2, LI Cun-jun1, 3*, ZHENG Xiang-yu1, 2, GONG Yu-sheng2, LIU Yu1, 3, PAN Yu-chun1, 3. Research on Extraction of Camellia Oleifera by Integrating Spectral, Texture and Time Sequence Remote Sensing Information[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1589-1597. |
| [15] |
WANG Shao-yan1, CHEN Zhi-fei2, LUO Yang1, JIAN Chun-xia1, ZHOU Jun-jie3, JIN Yuan1, XU Pei-dan3, LEI Si-yue3, XU Bing-cheng1, 4*. Study on Nutrient Content of Bothriochloa Ischaemum Community in the Loess Hilly-Gully Region Based on Spectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1612-1621. |
|
|
|
|
