APPLYING LINEAR SPECTRAL UNMIXING TO AIRBORNE HYPERSPECTRAL IMAGERY FOR MAPPING CROP YIELD VARIABILITY

被引：0

作者：

Yang, Chenghai ^{[1
]}

Everitt, James H. ^{[1
]}

Bradford, Joe M. ^{[1
]}

机构：

[1] USDA ARS, Kika Garza Subtrop Agr Res Ctr, Weslaco, TX 78596 USA

来源：

2009 FIRST WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING | 2009年

关键词：

Linear spectral unmixing; hyperspectral imagery; narrow-band NDVI; yield variability; MONITOR DATA; SITE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study evaluated linear spectral unmixing techniques for mapping the variation in crop yield. Both unconstrained and constrained linear spectral unmixing models were applied to airborne hyperspectral imagery recorded from a grain sorghum field and a cotton field. A pair of plant and soil spectra derived from each image was used as endmember spectra to generate unconstrained and constrained plant and soil cover fractions. Yield was positively related to plant fractions and negatively related to soil fractions. For comparison, all 5151 possible narrow-band normalized difference vegetation indices (NDVIs) were calculated from the 102-band images and related to yield. Plant fractions provided better correlations with yield than the majority of the NDVIs. These results indicate that plant cover fraction maps derived from hyperspectral imagery can be used as relative yield maps to characterize crop yield variability.

引用

页码：187 / 190

页数：4

共 50 条

[11] Using Linear Spectral Unmixing for Subpixel Mapping of Hyperspectral Imagery: A Quantitative Assessment
Xu, Xiong
Tong, Xiaohua
Plaza, Antonio
Zhong, Yanfei
Xie, Huan
Zhang, Liangpei
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (04) : 1589 - 1600
[12] APPLYING SPECTRAL UNMIXING AND SUPPORT VECTOR MACHINE TO AIRBORNE HYPERSPECTRAL IMAGERY FOR DETECTING GIANT REED
Yang, Chenghai
Goolsby, John A.
Everitt, James H.
Du, Qian
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 3664 - 3667
[13] LINEAR SPECTRAL UNMIXING WITH GENERALIZED CONSTRAINT FOR HYPERSPECTRAL IMAGERY
Zhang, Yuhang
Fan, Xiao
Zhang, Ye
Wei, Ran
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 4106 - 4109
[14] A nonlinear unmixing algorithm dealing with spectral variability for hyperspectral imagery
Zhi Tong-Xiang
Yang Bin
Wang Bin
JOURNAL OF INFRARED AND MILLIMETER WAVES, 2019, 38 (01) : 115 - +
[15] Unsupervised linear unmixing for change detection in multitemporal airborne hyperspectral imagery
Du, Q
Wasson, L
King, R
2005 International Workshop on the Analysis on Multi-Temporal Remote Sensing Images, 2005, : 136 - 140
[16] Progressive Band Processing of Linear Spectral Unmixing for Hyperspectral Imagery
Chang, Chein-I
Wu, Chao-Cheng
Liu, Keng-Hao
Chen, Hsian-Min
Chen, Clayton Chi-Chang
Wen, Chia-Hsien
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (06) : 2583 - 2597
[17] Unsupervised linear unmixing of hyperspectral image for crop yield estimation
Luo, Bin
Yang, Chenghai
Chanussot, Jocelyn
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 185 - 188
[18] Generative Simplex Mapping: Non-Linear Endmember Extraction and Spectral Unmixing for Hyperspectral Imagery
Waczak, John
Lary, David J.
REMOTE SENSING, 2024, 16 (22)
[19] Design and modelling of spectral-thermal unmixing targets for airborne hyperspectral imagery
Clare, Phil
ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XII PTS 1 AND 2, 2006, 6233
[20] Design and modelling of spectral-thermal unmixing targets for airborne hyperspectral imagery
Defence Science and Technology Laboratory, Farnborough, Hampshire, GU14 0LX, United Kingdom
SPIE, 1600, (2006):

← 1 2 3 4 5 →