DocumentCode
2139762
Title
A research on retrieval winter wheat ground cover by spectral indices in field
Author
Li, Cunjun ; Wang, Jihua ; Zhao, Chunjiang ; Liu, Liangyun ; Wang, Renchao
Volume
6
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
3996
Abstract
The ground cover of vegetation indicates light interceptor of plant, and plant productivity. The red and near-infrared vegetation indices have been employed to predict the ground coverage of crop, however these vegetation indices were much affected by uncertain factors such as leaf color, crop cultivar and others. This paper focused on the feasibility of predicting ground cover by near infrared and mid-infrared spectral indices, which were little sensitive to cultivar, fertilization, irrigation and leaf color. The digital photographs of wheat canopy were taken vertically 1.5 m aboveground and then spectra were measured by an ASD Fieldspec FR2500 spectrometer. The ground cover was automatically extracted by a novel image processing procedure. 8 diagnostic bands in infrared and short-infrared region were selected to calculate 56 ratio indices and 28 normalized difference indices. Also the popular 7 red and near-infrared vegetation indices were calculated. The general linear model (GLM) was applied to assess the relationship between ground coverage and spectral indices, and to evaluate whether they were sensitive to cultivar, fertilization, irrigation and leaf color. Results showed that red and near infrared vegetation indices to predict ground coverage were affected by at least one of the four factors mentioned above, however it is promising that some infrared indices, such as R1690/R1450, R1450/R1690, R1450:R1690, predict ground coverage well and not sensitive to cultivar, fertilization, irrigation and leaf color
Keywords
agriculture; crops; geophysical signal processing; image processing; infrared imaging; spectral analysis; terrain mapping; vegetation mapping; ASD Fieldspec FR2500 spectrometer; R1450/R1690; R1450:R1690; R1690/R1450; crop cultivar; crop ground coverage prediction; digital photographs; fertilization; general linear model; ground cover extraction; image processing; irrigation; leaf color; midinfrared spectral indices; near-infrared vegetation indices; normalized difference indices; plant light interceptor; plant productivity; red vegetation indices; short-infrared region; spectra measurement; wheat canopy; winter wheat ground cover retrieval; Agriculture; Biomass; Crops; Irrigation; Plants (biology); Reflectivity; Remote monitoring; Remote sensing; Sensitivity analysis; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location
Anchorage, AK
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1370004
Filename
1370004
Link To Document