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Satellite images as a tool to identify accelerated atrazine mineralization in soils
(Elsevier, 2011-06)
Microflora adaptation to atrazine (6-chloro-N2-ethyl-N4-isopropyl-1,3,5-triazine-2,4-diamine) mineralization due to its frequent use on the same soil has been clearly demonstrated. Studies show accelerated herbicide ...
Temporal analysis of the reduction in gas emission in areas of mechanically-harvested sugarcane using satellite imagery
(Pontificia Univ Catolica Chile, Fac Agronomia Ingenieria Forestal, 2010-01-01)
The primary objective of this study was to estimate the amount of gas not emitted into the air in areas cultivated with sugarcane (Saccharum officinarum) that were mechanically harvested. Satellite images CBERS-2/CCD, from ...
Pattern recognition in numerical data sets and color images through the typicality based on the GKPFCM clustering algorithm
(2014)
Face recognition (FR) is employed in several video surveillance applications to determine if facial regions captured over a network of cameras correspond to a target individuals. To enroll target individuals, it is often ...
Land use and land cover classification using hyperspectral imagery: Evaluating the performance of spectral angle mapper, support vector machine and random forest
(2019-06-04)
Land Use and Land Cover (LULC) information is an important data source for modeling environmental variables, so it is essential to develop high quality LULC maps. The hundreds of continuous spectral bands gathered with ...
Border extrapolation using fractal attributes in remote sensing images
(Elsevier, 2014-01)
In management, monitoring and rational use of natural resources the knowledge of precise and updated information is essential. Satellite images have become an attractive option for quantitative data extraction and morphologic ...
An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification
(Ieee-inst Electrical Electronics Engineers Inc, 2017-04-01)
Contextual-based image classification attempts at considering spatial/temporal information during the learning process in order to make the classification process smarter. Sequential learning techniques are one of the most ...
TEXTNN-A MATLAB program for textural classification using neural networks
(Pergamon-elsevier Science LtdOxfordInglaterra, 2009)
RadialPheno: A tool for near-surface phenology analysis through radial layouts
(2019-06-01)
Premise: Increasingly, researchers studying plant phenology are exploring novel technologies to remotely observe plant changes over time. The increasing use of phenocams to monitor leaf phenology, based on the analysis of ...