Search results for "Map"

showing 10 items of 3484 documents

Tributyltin chloride-induced effects on protein tyrosine phosphorylation and on extracellular-signal-regulated kinase (ERK) phosphorilation in Ascidi…

2011

Ascidians represent an intriguing candidate experimental system for studying the effects of environmental stress. We studied TBT effects and probable related pathways were investigated on ascidian embryos by using Western immunoblotting. Among the various signal transduction pathways involved in response to environmental stress, both tyrosine kinase signalling and MAPKs have been played a significant role. To better understand molecular mechanisms after exposure to TBT we studied the two signal transduction pathways above mentioned. Attempting to unravel the molecular effects of TBT-induced on ascidians embryogenesis, TBT treatments carried out in Phallusia mammillata embryos at gastrula st…

ERK (p44/42)Settore BIO/13 - Biologia ApplicataTyrosine kinase signallingAscidian embryos.Tributyltin-induced effectMAPK
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Effects of tributyltin chloride in ascidian embryos: modulation of kinase-mediated signalling pathways

2009

We studied the effects of various TBT concentrations by assaying the activity of ERK 1/2 (p44/42) and phospho-ERK1/2 (phospho-p44/42), proteins with a key role in ascidian development, and tyrosine kinase-dependent pathway. The effects of this xenobiotic and the role of some signalling mechanisms on ascidian embryos were examined by using Western immunoblotting. The tyrosine phosphorylation pattern in the ascidians Ciona intestinalis and Phallusia mammillata development was examined and different levels of protein phosphorylation were found as a response to TBT at μM range. To determine whether another key signalling pathway was activated, the effects of TBT on the phosphorylation state of …

ERK (p44/42)tributyltin-induced effectanimal structureslcsh:Biology (General)tyrosine kinase signallingembryonic structuresascidian embryoslcsh:QH301-705.5MAPK
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A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

2021

The current exponential increase of spatiotemporally explicit data streams from satellite-based Earth observation missions offers promising opportunities for global vegetation monitoring. Intelligent sampling through active learning (AL) heuristics provides a pathway for fast inference of essential vegetation variables by means of hybrid retrieval approaches, i.e., machine learning regression algorithms trained by radiative transfer model (RTM) simulations. In this study we summarize AL theory and perform a brief systematic literature survey about AL heuristics used in the context of Earth observation regression problems over terrestrial targets. Across all relevant studies it appeared that…

Earth observation010504 meteorology & atmospheric sciencesComputer scienceActive learning (machine learning)Science0211 other engineering and technologiesEnMAP02 engineering and technologycomputer.software_genre01 natural sciencesKriging021101 geological & geomatics engineering0105 earth and related environmental sciencesData processingData stream miningQSampling (statistics)15. Life on landquery strategieshyperspectraloptimal experimental designGeneral Earth and Planetary SciencesData miningHeuristicsLiterature surveycomputerGaussian process regressionRemote Sensing
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Clasificación de usos del suelo a partir de imágenes Sentinel-2

2017

[EN] Sentinel-2 (S2), a new ESA satellite for Earth observation, accounts with 13 bands which provide high-quality radiometric images with an excellent spatial resolution (10 and 20 m) ideal for classification purposes. In this paper, two objectives have been addressed: to determine the best classification method for S2, and to quantify its improve-ment with respect to the SPOT operational mission. To do so, four classifiers (LDA, RF, Decision Trees, K-NN) have been selected and applied to two different agricultural areas located in Valencia (Spain) and Buenos Aires (Argentina). All classifiers were tested using, on the one hand, all the S2 bands and, on the other hand, only selecting those…

Earth observation010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentDecision treeClasificación01 natural sciencesÍndice Kappa0504 sociologyEarth and Planetary Sciences (miscellaneous)TeledetecciónImage resolution0105 earth and related environmental sciencesRemote sensingUsos del sueloLandLand useKappa index05 social sciences050401 social sciences methodsRemote sensingClassificationLand use mapGeographyClassification methodsSentinel-2Relevant informationCartographyClassifier (UML)
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A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUM…

2018

Leaf area index (LAI) is a key biophysical variable fundamental in natural vegetation and agricultural land monitoring and modelling studies. This paper is aimed at comparing, validating and discussing different LAI satellite products from operational services and customized solution based on innovative Earth Observation (EO) data such as Landsat-7/8 and Sentinel-2A. The comparison was performed to assess overall quality of LAI estimates for rice, as a fundamental input of different scale (regional to local) operational crop monitoring systems such as the ones developed during the "An Earth obseRvation Model based RicE information Service" (ERMES) project. We adopted a multiscale approach f…

Earth observation010504 meteorology & atmospheric sciencesMean squared errorRice crops0211 other engineering and technologies02 engineering and technology01 natural sciencesLandsat-7/8Agricultural landGEOV1ValidationmedicineLeaf Area Index (LAI)Leaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2. Zero hungerSentinel-2AVegetation15. Life on landSeasonalitymedicine.diseaseMODISLeaf Area Index (LAI); rice crops; Sentinel-2A; Landsat-7/8; EUMETSAT Polar System; MODIS; GEOV1; validationEUMETSAT Polar SystemGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteScale (map)Remote Sensing; Volume 10; Issue 5; Pages: 763
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Development of an earth observation processing chain for crop bio-physical parameters at local scale

2015

This paper proposes a full Earth observation processing chaing for biophysical parameter estimation at local scales. In particular, we focus on the Leaf Area Index (LAI) as an essential climate variable required for the monitoring and modeling of land surfaces at local scale. The main goal of this study is tied to the use of optical satellite images to retrieve Earth Observation (EO) biophysical parameters able to describe the spatio-temporal changes in agro-ecosystems at local scale. The objective of this work is two-fold: (i) to set up and update the EO products processing chain at high resolution (local) scale; and (ii) derive multitemporal LAI maps at 30 m resolution to be fed into a cr…

Earth observationChain (algebraic topology)MeteorologyEstimation theoryEnvironmental scienceDevelopment (differential geometry)SatelliteLeaf area indexScale (map)Focus (optics)Remote sensing2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

2021

For the last decade, Gaussian process regression (GPR) proved to be a competitive machine learning regression algorithm for Earth observation applications, with attractive unique properties such as band relevance ranking and uncertainty estimates. More recently, GPR also proved to be a proficient time series processor to fill up gaps in optical imagery, typically due to cloud cover. This makes GPR perfectly suited for large-scale spatiotemporal processing of satellite imageries into cloud-free products of biophysical variables. With the advent of the Google Earth Engine (GEE) cloud platform, new opportunities emerged to process local-to-planetary scale satellite data using advanced machine …

Earth observationGoogle Earth Engine (GEE); Gaussian process regression (GPR); machine learning; Sentinel-2; gap filling; leaf area index (LAI)010504 meteorology & atmospheric sciencesComputer scienceScienceleaf area index (LAI)0211 other engineering and technologiesCloud computing02 engineering and technologycomputer.software_genre01 natural sciencesKrigingGaussian process regression (GPR)021101 geological & geomatics engineering0105 earth and related environmental sciencesPixelbusiness.industryQGoogle Earth Engine (GEE)machine learningKernel (image processing)Ground-penetrating radarGeneral Earth and Planetary SciencesData miningSentinel-2Scale (map)businesscomputergap fillingLevel of detailRemote Sensing; Volume 13; Issue 3; Pages: 403
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«Between Piante and Libri primi». Territory, writing and rights of an ecclesiastic institution. Monreale, XV-XVIIth centuries

2018

The article focuses on the genesis, organization and representation of the territory of an important ecclesiastical institution of Early Modern Sicily, the Archbishopric of Monreale, in a microanalytic perspective. Such an historical space has its very own peculiar economic, juridical, political and institutional features, as it includes and is part of dense, stratified and at the same time heterogeneous and changing realities. This research aims to shed some light on the close relationship between the Archbishopric as a holder of feudal rights on land and on men, and the production of written and drawn documents. Cross-referencing a variety of sources, such as maps and fiscal, judicial and…

Ecclesiastical propertyMapTerritoryTerritory Ecclesiastical property Documentary production Jurisdiction MapsJurisdictionDocumentary production
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Mapping floristic diversity: a case study in Sicily

2021

This paper presents an operational methodology to map and analyze the floristic richness of “target species” in Natura 2000 sites, making use of G.I.S. tools and procedures. A Floristic diversity map (scale 1:50,000), covering an area of 612 km2, was produced by a team of experts as part of the management plans of “Madonie Mountains” Sites of Community Importance (SCIs), located in Sicily (Italy). The primary grid map represents the richness of “target species”, which include species of Community interests, taxa on the National Red List, endemic and threatened, species protected under International Conventions, taxa of phytogeographic importance. Secondary data frames include a three-dimens…

EcologyGrid mappingBiodiversityBiodiversityBiological ConservationGeographyGeographical Information SystemsThreatened speciesIUCN Red ListSpecies richnessScale (map)EndemismNatura 2000Plant species richnessEnvironmental planningGeneral Environmental ScienceGlobal biodiversityEcocycles
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Relationships between climatic parameters and forest vegetation: application to burned area in Alicante (Spain)

2000

Abstract The main aims of this study is to examine the variability of normalized difference vegetation index (NDVI) on forest vegetation in Alicante (Spain) between 1984 and 1994 and to analyse the influence of climatic parameters in the regeneration of forest areas burned by fires. The zone of study is located between XUTM (m) 730400-760400 and YUTM (m) 4274000-4304000 and is characterised by a great topographic complexity that leads to diverse microclimatic conditions. In this area, the maximum annual rainfall of the Valencian Community is recorded, reaching 850 mm of average annual rainfall ( Belda, 1997 ). We examined the spatial and temporal analyse of rainfall and soil moisture over t…

EcologyMicroclimateForestryEnhanced vegetation indexVegetationManagement Monitoring Policy and LawNormalized Difference Vegetation IndexThematic MapperSoil waterEnvironmental scienceSpatial variabilityPhysical geographyPrecipitationNature and Landscape ConservationForest Ecology and Management
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