منابع مشابه
Remote Sensing of Mountain Birch Forest Biomass and Leaf Area Index Using ASTER Data
Suitability of ASTER satellite data for estimating biomass and LAI for mountain birch forests was investigated. The field data consisted of 124 plots surveyed in northernmost Finland in July 2004. The statistical relationships between the field measurements and ASTER reflectances were modelled using canonical correlation analysis (CCA) and reduced major axis (RMA) regression. The models were ap...
متن کاملRetrieving crops Green Area Index from high temporal and spatial resolution remote sensing data
This paper aims at firstly evaluating the correspondence between Normalized Difference Vegetation Index (NDVI) products from Formosat-2 (F2) and SPOT sensors and then to perform a comparative analysis of two methods for retrieving Green Area Index from high spatial and temporal resolution satellite data (F2 and SPOT). For this purpose, an empirical approach using NDVI plus field data and a Neur...
متن کاملRegional Leaf Area Index Retrieval Based on Remote Sensing: The Role of Radiative Transfer Model Selection
Physically-based approaches for estimating Leaf Area Index (LAI) using remote sensing data rely on radiative transfer (RT) models. Currently, many RT models are freely available, but determining the appropriate RT model for LAI retrieval is still problematic. This study aims to evaluate the necessity of RT model selection for LAI retrieval and to propose a retrieval methodology using different ...
متن کاملLeaf area index retrieval using gap fractions obtained from high resolution satellite data: Comparisons of approaches, scales and atmospheric effects
This study is aimed at demonstrating the feasibility of the large scale LAI inversion algorithms using red and near infrared reflectance obtained from high resolution satellite imagery. Radiances in digital counts were obtained in 10m resolution acquired on cloud free day of August 23, 2007, by the SPOT 5 high resolution geometric (HRG) instrument onmostly temperatehardwood forest located in th...
متن کاملValidation and intercomparison of global Leaf Area Index products derived from remote sensing data
[1] This study investigates the performances of four major global Leaf Area Index (LAI) products at 1/11.2! spatial sampling and a monthly time step: ECOCLIMAP climatology, GLOBCARBON (from SPOT/VEGETATION and ATSR/AATSR), CYCLOPES (from SPOT/VEGETATION) and MODIS Collection 4 (main algorithm, from MODIS/TERRA). These products were intercompared during the 2001–2003 period over the BELMANIP net...
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ژورنال
عنوان ژورنال: Italian Journal of Agronomy
سال: 2010
ISSN: 2039-6805,1125-4718
DOI: 10.4081/ija.2010.155