Hyperspectral predictors for monitoring biomass production in Mediterranean mountain grasslands: Majella National Park, Italy

The research objective was to determine robust hyperspectral predictors for monitoring grass/herb biomass production on a yearly basis in the Majella National Park, Italy. HyMap images were acquired over the study area on 15 July 2004 and 4 July 2005. The robustness of vegetation indices and red-edg...

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Vydáno v:	International journal of remote sensing Ročník 30; číslo 2; s. 499 - 515
Hlavní autoři:	Cho, M. A., Skidmore, A. K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Abingdon Taylor & Francis 01.01.2009
Témata:	Animal, plant and microbial ecology Applied geophysics Biological and medical sciences biophysical relationships canopy chlorophyll concentration Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques imaging spectrometry Internal geophysics landsat least-squares regression rangelands reflectance red edge spectral indexes Teledetection and vegetation maps vegetation indexes Southern Europe Italy Europe Monocotyledones mountains Vegetation index production Predictor Paspalum conjugatum Reflection spectrometry grasslands Gramineae Angiospermae imagery Robustness biomass Linear regression Plantae Prediction near infrared radiation remote sensing monitoring angiosperms Regression model Monocotyledoneae Hyperspectral characteristic Spermatophyta Mediterranean region national parks
ISSN:	0143-1161, 1366-5901
On-line přístup:	Získat plný text
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