光谱学与光谱分析 |
|
|
|
|
|
Research on the Spectral Characteristics of Grassland in Arid Regions Based on Hyperspectral Image |
ZHANG Chun-mei, ZHANG Jian-ming* |
College of Earth & Environmental Sciences, Research Center for Hydrologic Cycle and Water Resources in Arid Region, Lanzhou University, Lanzhou 730000, China |
|
|
Abstract The grassland spectrum was got from Hyperion images of Shiyang River Basin using PPI,after FLAASH atmosphere correction,to understand the spectral characteristics quantitatively. The results show that red edge moves left, slope reduced, blue and yellow edge feature is abated, reflectance is higher in visible bands, and lower near-infrared bands when grassland is at decline stage relative to the spectrum characteristics of grassland at well growthl. The red edge, green peaks, absorption valley location of blue and red light keep consistent for different coverage grassland, and spectrum absorption characteristics (band depth, width, area, symmetry) in visual bands change regularly as coverage increases, so it can be a basis for extraction or judgment of vegetation coverage.
|
Received: 2011-05-06
Accepted: 2011-09-02
|
|
Corresponding Authors:
ZHANG Jian-ming
E-mail: jmzhang@lzu.edu.cn
|
|
[1] ZHANG Kai, GUO Ni, WANG Run-yuan, et al(张 凯, 郭 铌, 王润元,等). Advances in Earth Science(地球科学进展), 2006, 21(10): 1063. [2] Leeman V, Earing D, Vincent R K, et al. The NASA Earth Resource Spectral Information System: a Data Compilation, NASA-CR-115757, 1971. 1. [3] WU Rui-qing, YANG Cun-jian(伍瑞卿, 杨存建). Geo-Information Science(地球信息科学), 2006, 8(4): 136. [4] TONG Qing-xi, ZHENG Lan-fen(童庆禧, 郑兰芬). Journal of Remote Sensing(遥感学报), 1997, 1(1): 50. [5] PU Rui-liang, GONG Peng(浦瑞良, 宫 鹏). Hyperspectral Remote Sensing and Its Applications(高光谱遥感及其应用). Beijing: Higher Education Press(北京: 高等教育出版社), 2000. 82. [6] TIAN Qing-jiu, ZHAO Chun-jiang(田庆久, 赵春江). Chinese Science Bulletin(科学通报), 2000, 45(24): 2645. [7] TANG Yan-lin, WANG Xiu-zhen, WANG Ren-chao(唐延林,王秀珍,王人潮). Journal of Mountain Agriculture and Biology(山地农业生物学报), 2003, 22(3):189. [8] TIAN Guo-liang(田国良). Advances in Earth Science(地球科学进展), 1992, 7(5): 74. [9] WAN Yu-qing, YAN Yong-zhong(万余庆, 阎永忠). Remote Sensing for Land & Resources(国土资源遥感), 2001,3: 15. [10] DING Jian-li, ZHANG Fei, Tashpolat Tiyip(丁建丽, 张 飞, 塔西甫拉提·特依拜). Journal of Arid Land Resources and Environment(干旱区资源与环境), 2008, 22(11): 160. [11] WANG Jin-di, ZHANG Li-xin, LIU Qin-huo(王锦地,张立新,柳钦火). The China’s Typical Ground Object Spectral Knowledge Base(中国典型地物波谱知识库). Beijing: Science Press (北京: 科学出版社), 2009. 1. [12] WANG Huan-jiong, FAN Wen-jie, CUI Yao-kui, et al(王焕炯, 范闻捷, 崔要奎, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2010, 30(10): 2734. [13] TONG Qing-xi, ZHANG Bing, ZHENG Lan-fen(童庆禧, 张 兵, 郑兰芬). Hyperspectral Remote Sensing—Principles Techniques and Applications(高光谱遥感—原理,技术与应用). Beijing: Higher Education Press(北京:高等教育出版社),2006. 246. [14] SUN Jian-zhong(孙建忠). Forestry of Gansu(甘肃林业),2006,3(3):19. [15] Beck R. EO-1 User Guide U2.3, Available at http://eol.gov/documents/2003. Department of Geography University of Cincinnati, 2003. [16] Gao B, Davis C, Goetz A. IEEE International Geoscience and Remote Sensing Symposium, 2006. 1979. [17] LI Su, LI Wen-zheng, ZHOU Jian-jun, et al(李 素, 李文正, 周建军, 等). Geography and Geo-Information Science(地理与地理信息科学), 2007, 23(5): 35. [18] Kokaly R F, Clark R N. Remote Sensing of Environment, 1999, 67(3): 267. [19] WEN Xing-ping(温兴平). Geography and Geo-Information Science(地理与地理信息科学), 2008, 24(1): 4. |
[1] |
FENG Hai-kuan1, 2, YUE Ji-bo3, FAN Yi-guang2, YANG Gui-jun2, ZHAO Chun-jiang1, 2*. Estimation of Potato Above-Ground Biomass Based on VGC-AGB Model and Hyperspectral Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2876-2884. |
[2] |
JIN Chun-bai1, YANG Guang1*, LU Shan2*, LIU Wen-jing1, LI De-jun1, ZHENG Nan1. Band Selection Method Based on Target Saliency Analysis in Spatial Domain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2952-2959. |
[3] |
GAO Yu1, SUN Xue-jian1*, LI Guang-hua2, ZHANG Li-fu1, QU Liang2, ZHANG Dong-hui1, CHANG Jing-jing2, DAI Xiao-ai3. Study on the Derivation of Paper Viscosity Spectral Index Based on Spectral Information Expansion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2960-2966. |
[4] |
KONG Bo1, YU Huan2*, SONG Wu-jie2, 3, HOU Yu-ting2, XIANG Qing2. Hyperspectral Characteristics and Quantitative Remote Sensing Inversion of Gravel Grain Size in the North Tibetan Plateau[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2381-2390. |
[5] |
WANG Jin-hua, DAI Jia-le*, LI Meng-qian, LIU Wei, MIAO Ruo-fan. Blind Separation Algorithm of Mixed Minerals Hyperspectral Base on NMF Mode[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2458-2466. |
[6] |
ZHANG Xia1, WANG Wei-hao1, 2*, SUN Wei-chao1, DING Song-tao1, 2, WANG Yi-bo1, 2. Soil Zn Content Inversion by Hyperspectral Remote Sensing Data and Considering Soil Types[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2019-2026. |
[7] |
WANG Hui-min1, 2, YU Lei1, XU Kai-lei1, 2, JIANG Xiao-guang1, 2, WAN Yu-qing1, 2*. Estimation of Salt Content of Saline Soil in Arid Areas Based on GF-5 Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2278-2286. |
[8] |
CAO Yang1, 2, LI Yan-hong1, 2*. Study on the Effects of NO2 Pollution Under COVID-19 Epidemic
Prevention and Control in Urumqi[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1981-1987. |
[9] |
ZHANG Chao1*, SU Xiao-yu1, XIA Tian2, YANG Ke-ming3, FENG Fei-sheng4. Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1268-1274. |
[10] |
LUO Sen1, 2, REN Hong-rui1*, ZHANG Yue-qi1. Estimation of Grassland Green Biomass Using Sentinel-1A SLC Image Spectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 955-961. |
[11] |
XU Long-xin1, 2, 3, 4, SUN Yong-hua2, 3, 4*, WU Wen-huan1, ZOU Kai2, 3, 4, HE Shi-jun2, 3, 4, ZHAO Yuan-ming2, 3, 4, YE Miao2, 3, 4, ZHANG Xiao-han2, 3, 4. Research on Classification of Construction Waste Based on UAV Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3927-3934. |
[12] |
FENG Tian-shi1, 2, 3, PANG Zhi-guo1, 2, 3*, JIANG Wei1, 2, 3. Remote Sensing Retrieval of Chlorophyll-a Concentration in Lake Chaohu Based on Zhuhai-1 Hyperspectral Satellite[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2642-2648. |
[13] |
ZHANG Jie1, 2, XU Bo1, FENG Hai-kuan1, JING Xia2, WANG Jiao-jiao1, MING Shi-kang1, FU You-qiang3, SONG Xiao-yu1*. Monitoring Nitrogen Nutrition and Grain Protein Content of Rice Based on Ensemble Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1956-1964. |
[14] |
JING Xia1, ZHANG Jie1, 2, WANG Jiao-jiao2, MING Shi-kang2, FU You-qiang3, FENG Hai-kuan2, SONG Xiao-yu2*. Comparison of Machine Learning Algorithms for Remote Sensing
Monitoring of Rice Yields[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1620-1627. |
[15] |
YANG En1, WANG Shi-bo2*. Study on Directional Near-Infrared Reflectance Spectra of Typical Types of Coal[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 847-858. |
|
|
|
|