DOI: 10.1016/j.jag.2014.10.001
Scopus记录号: 2-s2.0-84924425280
论文题名: Brown and green LAI mapping through spectral indices
作者: Delegido J ; , Verrelst J ; , Rivera J ; P ; , Ruiz-Verdú A ; , Moreno J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 35, 期: PB 起始页码: 350
结束页码: 358
语种: 英语
英文关键词: Agroecosystem
; Brown LAI
; Hyperspectral
; Senescent vegetation
; Sentinel-2
; Vegetation indices
Scopus关键词: agricultural ecosystem
; chlorophyll
; leaf area index
; satellite data
; satellite imagery
; Sentinel
; vegetation cover
; vegetation index
; Albacete [Castilla-La Mancha]
; Barrax
; Castilla-La Mancha
; Spain
英文摘要: When crops senescence, leaves remain until they fall off or are harvested. Hence, leaf area index (LAI) stays high even when chlorophyll content degrades to zero. Current LAI approaches from remote sensing techniques are not optimized for estimating LAI of senescent vegetation. In this paper a two-step approach has been proposed to realize simultaneous LAI mapping over green and senescent croplands. The first step separates green from brown LAI by means of a newly proposed index, 'Green Brown Vegetation Index (GBVI)'. This index exploits two shortwave infrared (SWIR) spectral bands centred at 2100 and 2000 nm, which fall right in the dry matter absorption regions, thereby providing positive values for senescent vegetation and negative for green vegetation. The second step involves applying linear regression functions based on optimized vegetation indices to estimate green and brown LAI estimation respectively. While the green LAI index uses a band in the red and a band in the red-edge, the brown LAI index uses bands located in the same spectral region as GBVI, i.e. an absorption band located in the region of maximum absorption of cellulose and lignin at 2154 nm, and a reference band at 1635 nm where the absorption of both water and dry matter is low. The two-step approach was applied to a HyMap image acquired over an agroecosystem at the agricultural site Barrax, Spain. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79603
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratorio de Procesamiento de Imágenes, Universidad de Valencia, C/Catedrático José Beltrán, 2, Paterna (Valencia), Spain
Recommended Citation:
Delegido J,, Verrelst J,, Rivera J,et al. Brown and green LAI mapping through spectral indices[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,35(PB)