Remote Sensing Estimation of Plant Litter Cover Based on the Spectra of Plant Litter-Soil Mixed Scenes
XIE Xiao-yan1, LIU Yong-mei1*, LI Jing-zhong1, 2, CHANG Wei1, WANG Ling1
1. College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China 2. College of Urban Planning and Landscape Garden, Xuchang University, Xuchang 461000, China
Abstract Quantifying plant litter cover is important to evaluate the effectiveness of vegetation to protect soil against soil erosion. Field campaign was carried out in the Loess Hilly-gully Region of Northern Shaanxi to acquire the spectral reflectance data of plant-soil mixed scenes for two broadleaf forests and rehabilitated grassland. Spectral behavior of plant-soil mixed scenes was analyzed and the effectiveness of hyperspectral indexes NDLI (normalized difference lignin index) and CAI (cellulose absorption index) for quantifying plant litter cover was evaluated based on lab and field experiments. The results showed spectra reflectance of plant-soil mixed scenes with different proportions of litter and soil varied greatly by the influence of color and water content. The NDLI and CAI values increased with the rise of proportion of litter within the mixed scene under dry and wet status, regression analysis between the two indexes and plant litter cover of mixed scenes showed that the obviously better result for CAI (R2=0.98, rehabilitated grassland and broadleaf forests under dry status). The discrimination between mixed scenes and soil using CAI significantly outperformed NDLI under dry status; the estimation of plant litter cover by CAI is more effective compared to NDLI. Lab analysis was validated by field measuring: R2=0.90 showed highest correlation between CAI and plant litter cover for rehabilitated grassland. The validity of estimation of plant litter cover by both two indexes reduced to some degree in the field. The research enhanced the scientific basis for remote sensing estimation of plant litter cover.
Key words:Plant litter cover;Soil;Mixed scene;Vegetation index;The Loess Hilly-gully Region
Corresponding Authors:
LIU Yong-mei
E-mail: liuym@nwu.edu.cn
Cite this article:
XIE Xiao-yan,LIU Yong-mei,LI Jing-zhong, et al. Remote Sensing Estimation of Plant Litter Cover Based on the Spectra of Plant Litter-Soil Mixed Scenes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(07): 2217-2223.
[1] WU Qin-xiao, ZHAO Hong-yan, LIU Xiang-dong, et al(吴钦孝,赵鸿雁,刘向东,等). Journal of Soil Erosion and Soil and Water Conservation(土壤侵蚀与水土保持学报),1998, 4(2): 2328. [2] WU Qin-xiao, LIU Xiang-dong, SU Ning-hu, et al(吴钦孝, 刘向东, 苏宁虎,等). Journal of Soil and Water Conservation(水土保持学报), 1992, 6(1): 71. [3] Morrison Jr J E, Huang C, Lightle D T, et al. Journal of Soil and Water Conservation, 1993, 48: 479. [4] CTIC. Conservation Technology Information Center. West Lafayette, IN http://www.ctic.purdue.edu/CTIC/CRM.html, 2004. [5] Morrison Jr J E, Lemunyon J, Bogusch Jr H C. Transactions of the ASAE, 1995,38: 521. [6] Shelton D P, Dickey E C. Conservation Tillage. Conservation Technology Information Center, Cooperative Extension Service, 1995. [7] Aase J K, Tanaka D L. Agronomy Journal, 1991,83: 753. [8] Daughtry C S T, McMurtrey J E III, Nagler P L, et al. In Near Infrared Spectroscopy: The Future Waves (A. M. C. Davies and Phil Williams, Eds. ), NIR Publications, Chichester, UK, 1996. 505. [9] Baird F, Baret F. Remote Sensing of Environment, 1997,59: 530. [10] Streck N A, Rundquist D, Connot J. Photogrammetric Engineering & Remote Sensing, 2002,68: 1193. [11] Stoner E R, Baumgardner M F. Soils Science Soc. Am. J., 1981, 45(6): 1161. [12] Fourty T, Baret F, Jacquemoud S, et al. Remote Sensing of Environment, 1996, 56: 104. [13] Elvidge C D. International Journal of Remote Sensing, 1990, 10(11): 1775. [14] Serrano L, Penuelas J, Ustin S L. Remote Sensing of Environment, 2002, 81: 355. [15] Zheng B, Campbell J B, Serbin G, et al. Soil and Water Conservation Society, 2013, 68(2): 119. [16] Daughtry C S T. Agronomy Journal, 2001,93: 125. [17] Daughtry C S T, Hunt Jr E R, McMurtrey III J E. Remote Sensing of Environment, 2004, 90(1): 126. [18] Zheng Baojuan, James B Campbell, Kirsten M de Beurs. Remote Sensing of Environment, 2012, 117: 177. [19] Nagler P L, Inoue Y, Glenna E P, et al. Remote Sensing of Environment, 2003, 87: 310. [20] Daughtry C S T, Hunt Jr E R. Remote Sensing of Environment, 2008, 112: 1647. [21] Zheng Baojuan, James B Campbell, Guy Serbin, et al. Soil & Tillage Research, 2014, 138: 26. [22] Wang Lingli, Hunt Jr E R, John J Q, et al. Remote Sensing of Environment, 2013, 129: 103. [23] WANG Chun-mei, YANG Qin-ke, WANG Qi, et al(王春梅, 杨勤科, 王 琦,等). Science of Soil and Water Conservation(中国水土保持科学), 2010, 8(3): 1. [24] Murray I, Williams P C. //Williams P C, Norris K. Near-Infrared Technology in the Agricultural and Food Industries. St Paul, Minnesota: American Association of Cereal Chemists, Inc., 1988. 17. [25] HE Ting, LIU Rong, WANG Jing(何 挺, 刘 荣, 王 静). Geography and Geo-Information Science(地理与地理信息科学), 2003, 19(5): 6, 31.