Basics of Geomatics

Gomarasca, Mario A.

doi:10.1007/978-1-4020-9014-1

Cited by 58 publications

(29 citation statements)

References 0 publications

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“…The image was orthocorrected by a Rational Polynomial Function rectification process (error equal to less than a pixel). A total of 15 features were extracted from the Landsat image to be exploited as auxiliary variables, i.e., the DNs of the bands TM1, TM2, TM3, TM4, TM5, TM7 and nine vegetation indexes obtained combining such bands (NDVI, DVI, EVI, CVI, NG, NRVI, RVI, SAVI, SR: for the indexes meaning, see Gomarasca 2009). These auxiliary variables were available for all the 2247 pixels that correspond to the Chiarino forest (i.e., the target set), while the values of the Y-variables of interest (AGB and CAI) were known only for the sample of 28 pixels corresponding to the field inventory sample units (i.e., the reference set).…”

Section: Fig 2 -Proposed Survey Approachmentioning

confidence: 99%

Experimenting the design-based k-NN approach for mapping and estimation under forest management planning

Mattioli¹,

Quatrini²,

Paolo³

et al. 2012

iForest

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Estimation and mapping of forest attributes are a fundamental support for forest management planning. This study describes a practical experimentation concerning the use of design-based k-Nearest Neighbors (k-NN) approach to estimate and map selected attributes in the framework of inventories at forest management level. The study area was the Chiarino forest within the Gran Sasso and Monti della Laga National Park (central Italy). Aboveground biomass and current annual increment of tree volume were selected as the attributes of interest for the test. Field data were acquired within 28 sample plots selected by stratified random sampling. Satellite data were acquired by a Landsat 5 TM multispectral image. Attributes from field surveys and Landsat image processing were coupled by k-NN to predict the attributes of interest for each pixel of the Landsat image. Achieved results demonstrate the effectiveness of the k-NN approach for statistical estimation, that is compatible with the produced forest attribute raster maps and also proves to be characterized, in the considered study case, by a precision double than that obtained by conventional inventory based on field sample plots only

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Section: Fig 2 -Proposed Survey Approachmentioning

confidence: 99%

Experimenting the design-based k-NN approach for mapping and estimation under forest management planning

Mattioli¹,

Quatrini²,

Paolo³

et al. 2012

iForest

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“…Introduced by Carper [1], the IHS transform separates spatial (Intensity) and spectral (Hue and Saturation) information from a standard RGB image [12]. As it is known, the intensity is brightness of the image; hue is the dominant or average wavelength of the light contributing to the colour (colour perception) and saturation represent to purity of the colour [13].…”

Section: Ihs Pan-sharpening Methodsmentioning

confidence: 99%

“…The passive sensors recording the intensity of the reflected electromagnetic energy coming from the Sun or emitted by the Earth and the optical sensors, in relation to the spectral range, can acquire in panchromatic (PAN) and multispectral (MS) bands [1]. Panchromatic data from Remote-Sensing systems have a smaller pixel size, and a greater width of the acquisition band compared to those multispectral.…”

Section: Introductionmentioning

confidence: 99%

Influence of the weights in IHS and Brovey methods for pan-sharpening WorldView-3 satellite images

Parente

Pepe

2017

IJET

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The purpose of this paper is to investigate the impact of weights in pan-sharpening methods applied to satellite images. Indeed, different data sets of weights have been considered and compared in the IHS and Brovey methods. The first dataset contains the same weight for each band while the second takes in account the weighs obtained by spectral radiance response; these two data sets are most common in pan-sharpening application. The third data set is resulting by a new method. It consists to compute the inertial moment of first order of each band taking in account the spectral response. For testing the impact of the weights of the different data sets, WorlView-3 satellite images have been considered. In particular, two different scenes (the first in urban landscape, the latter in rural landscape) have been investigated. The quality of pan-sharpened images has been analysed by three different quality indexes: Root mean square error (RMSE), Relative average spectral error (RASE) and Erreur Relative Global Adimensionnelle de Synthèse (ERGAS).

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“…Technological solutions derive from complex scientific processes, which offer integrity, scientific relevance and applied continuously could also serve as a stepping stone to minimize environmental impact [2]. The increased accessibility to cutting edge technologies and the variety of skill-set held by the average citizen, generate prospects of novel methodology for protecting and preserving the environment.…”

Section: Introductionmentioning

confidence: 99%

A Social Environmental Sensor Network Integrated within a Web GIS Platform

Voutos

Mylonas

Spyrou

et al. 2017

JSAN

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Abstract:We live in an era where typical measures towards the mitigation of environmental degradation follow the identification and recording of natural parameters closely associated with it. In addition, current scientific knowledge on the one hand may be applied to minimize the environmental impact of anthropogenic activities, whereas informatics on the other, playing a key role in this ecosystem, do offer new ways of implementing complex scientific processes regarding the collection, aggregation and analysis of data concerning environmental parameters. Furthermore, another related aspect to consider is the fact that almost all relevant data recordings are influenced by their given spatial characteristics. Taking all aforementioned inputs into account, managing such a great amount of complex and remote data requires specific digital structures; these structures are typically deployed over the Web on an attempt to capitalize existing open software platforms and modern developments of hardware technology. In this paper we present an effort to provide a technical solution based on sensing devices that are based on the well-known Arduino platform and operate continuously for gathering and transmitting of environmental state information. Controls, user interface and extensions of the proposed project rely on the Android mobile device platform (both from the software and hardware side). Finally, a crucial novel aspect of our work is the fact that all herein gathered data carry spatial information, which is rather fundamental for the successful correlation between pollutants and their place of origin. The latter is implemented by an interactive Web GIS platform operating oversight in situ and on a timeline basis.

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Basics of Geomatics

Cited by 58 publications

References 0 publications

Experimenting the design-based k-NN approach for mapping and estimation under forest management planning

Experimenting the design-based k-NN approach for mapping and estimation under forest management planning

Influence of the weights in IHS and Brovey methods for pan-sharpening WorldView-3 satellite images

A Social Environmental Sensor Network Integrated within a Web GIS Platform

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