Open Access
Monitoring Vegetation Systems in the Great Plains with Erts
J. W. Rouse,R. H. Haas,J. A. Schell,D. W. Deering +3 more
- Vol. 351, pp 309
TLDR
In this paper, a method has been developed for quantitative measurement of vegetation conditions over broad regions using ERTS-1 spectral bands 5 and 7, corrected for sun angle, which is shown to be correlated with aboveground green biomass on rangelands.Abstract:
The Great Plains Corridor rangeland project utilizes natural vegetation systems as phenological indicators of seasonal development and climatic effects upon regional growth conditions. A method has been developed for quantitative measurement of vegetation conditions over broad regions using ERTS-1 MSS data. Radiance values recorded in ERTS-1 spectral bands 5 and 7, corrected for sun angle, are used to compute a band ratio parameter which is shown to be correlated with aboveground green biomass on rangelands.read more
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Influences of canopy architecture on relationships between various vegetation indices and LAI and Fpar: A computer simulation
Narendra S. Goel,Wenhan Qin +1 more
TL;DR: In this paper, a three-dimensional model (Diana) is utilized to generate architecturally realistic tree and crop canopies in various development stages and to calculate bidirectional reflectance factors in the principal plane.
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Visible and near-infrared reflectance spectroscopy-an alternative for monitoring soil contamination by heavy metals.
TL;DR: The state of the art and methods for the estimation of heavy metal concentrations by the use of visible and near-infrared reflectance spectroscopy are reviewed and the challenges facing the application of hyperspectral images in mapping soil contamination over large areas are discussed.
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Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment
TL;DR: In this article, the authors classified eight common savanna tree species in the Greater Kruger National Park region, South Africa, using a combination of hyperspectral and Light Detection and Ranging (LiDAR)-derived structural parameters, in the form of seven predictor datasets, in an automated Random Forest modelling approach.
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Soil-vegetation relationships in cerrado (Brazilian savanna) and semideciduous forest, Southeastern Brazil
Patricia Guidão Cruz Ruggiero,Marco Antônio Batalha,Vânia Regina Pivello,Sérgio Tadeu Meirelles +3 more
TL;DR: In this paper, the authors investigated soil-vegetation relationships in the Pe-de-Gigante Reserve (Sao Paulo State, Southeastern Brazil) and showed a clear distinction between semideciduous forest and the cerrado physiognomies, based in soil parameters.
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Comparative analysis of IKONOS, SPOT, and ETM+ data for leaf area index estimation in temperate coniferous and deciduous forest stands
TL;DR: In this article, the authors assess the potential use of IKONOS, ETM+, and SPOT HRVIR sensors for leaf area index (LAI) estimation in forest stands.