Special issue of International Journal of Human Resource Management. A contextualized approach to Talent Management: Advancing the field

Postprint (published version

Field guide for forest mapping with high resolution satellite data

This manual is targeted at guiding the collection of adequate field information in a relatively short time, for calibrating and validating classifications and biophysical parameters derived from satellite images of high spatial resolution for forest monitoring. It aims to support of monitoring deforestation and forest degradation in the context of the UN-REDD (Reducing Emissions from Deforestation and Degradation) programme. Experience gained from field surveys carried out in conjunction with the Tanzania Forest Service in 2012, 2013 and 2014 in the Pugu Hills Forest Reserve is used to demonstrate the methods of data collection and analysis. The field data collected in this work were used to produce maps of forest cover, basal area and biomass. These maps were transferred to the Tanzania Forest Service to support their forest inventoryJRC.H.3-Forest Resources and Climat

User Manual for the JRC Land Cover/Use Change Validation Tool

The JRC TREES-3 project aims at estimating forest cover changes at continental and regional levels for the Tropical belt for the periods 1990-2000 and 2000-(2005)-2010 based on a systematic sample of forest cover change maps. An operational system has been developed for the processing and change assessment of a large data set of multi-temporal medium resolution imagery (sample units of 20 km x 20 km size analysed from with Landsat imagery). The main task is to assess as accurately as possible for each sample unit the forest cover and forest cover change between two dates. The analysis includes a crucial final step of visual verification and final assignment of land cover labels which is carried out by forestry national officers or remote sensing experts from tropical countries. The visual interpretation is conducted interdependently on two-date imagery to verify and to adjust the labels pre-assigned to each segment for the different dates. A dedicated stand-alone application has been developed for this purpose. The application is a graphical user interface, called the JRC Land Cover/Use Change Validation Tool. The aim of this tool is to provide a user-friendly interface, with an optimised set of commands to navigate through and assess a given dataset of satellite imagery and land cover maps, and to correct easily the land-cover labels as appropriate. The present technical document, entitled ¿User Manual for the JRC Land Cover Change Validation Tool¿ describes the steps for the installation of the tool on a personal computer, as well as the detailed features of this dedicated graphical user interface. The authors welcome feedbacks from potential users of the tool, in particular reporting of any potential software issue or providing suggestions for improvements of future versions of the tool.JRC.DDG.H.3-Global environement monitorin

A multi-purpose modular system for high-resolution microscopy at high hydrostatic pressure

We have developed a modular system for high-resolution microscopy at high hydrostatic pressure. The system consists of a pressurised cell of volume ~100 microlitres, a temperature controlled holder, a ram and a piston. We have made each of these components in several versions which can be interchanged to allow a wide range of applications. Here, we report two pressure cells with pressure ranges 0.1-700MPa and 0.1-100MPa, which can be combined with hollow or solid rams and pistons. Our system is designed to work with fluorescent samples (using a confocal or epifluorescence microscope), but also allows for transmitted light microscopy via the hollow ram and piston. The system allows precise control of pressure and temperature [-20-70C], as well as rapid pressure quenching. We demonstrate its performance and versatility with two applications: time-resolved imaging of colloidal phase transitions caused by pressure changes between 0.1MPa and 101MPa, and imaging the growth of Escherichia coli bacteria at 50MPa. We also show that the isotropic-nematic phase transition of pentyl-cyanobiphenyl (5CB) liquid crystal provides a simple, convenient and accurate method for calibrating pressure in the range 0.1-200MPa

Manual del usuario para la herramienta del CCI de validación del cambio en la cobertura vegetal/ocupación del suelo

El proyecto TREES-3 del CCI tiene por objeto estimar los cambios en la cobertura forestal a nivel continental y regional para el cinturón tropical y para los períodos 1990-2000 y 2000-(2005)-2010 basándose en una muestra sistemática de los mapas de cambios en la cobertura forestal. Se ha desarrollado un sistema para el tratamiento y evaluación de los cambios en la cobertura vegetal a partir de un amplio conjunto de datos de imágenes de resolución media multitemporales (unidades de muestra de 20 km x 20 km analizadas a partir de imágenes del satélite Landsat). La principal tarea es evaluar, de la manera más exacta posible y para cada unidad de muestra, la cobertura forestal y el cambio en esta entre dos fechas. El análisis incluye un paso final crucial consistente en la verificación visual y la asignación final de etiquetas de cobertura vegetal, efectuado por funcionarios nacionales responsables de los bosques o expertos en teledetección de los países tropicales. La interpretación visual se lleva a cabo de manera interdependiente en imágenes de dos fechas a fin de verificar y ajustar las etiquetas preasignadas a cada segmento para las diferentes fechas. Con esta finalidad se ha desarrollado una aplicación dedicada autónoma. La aplicación es una interfaz gráfica de usuario denominada «herramienta del CCI de validación del cambio en la cobertura vegetal», cuya finalidad es proporcionar una interfaz de fácil manejo con un conjunto optimizado de órdenes para navegar por un conjunto de datos de imágenes de satélite y mapas de la cobertura vegetal, evaluarlos y corregir fácilmente las etiquetas de ocupación del suelo según corresponda. En esta tarea la FAO está colaborando con el CCI en el marco del “Global Forest Resource Assessment (FRA) Remote Sensing Survey”. El CCI añadió funcionalidades a esta herramienta para permitir el etiquetado de clases de ocupación del suelo que forman parte de la clasificación FRA. El presente documento técnico, titulado «Manual de instrucciones para la herramienta del CCI de validación del cambio en la cobertura vegetal/ocupación del suelo» (JRC Land Cover/Use Change Validation Tool) describe el procedimiento de instalación de la herramienta en un ordenador personal, así como las características detalladas de la interfaz gráfica de usuario. Los autores agradecen las aportaciones de los usuarios de la herramienta, especialmente la información respecto a cualquier problema de software o las sugerencias para la mejora de futuras versiones.JRC.H.3-Forest Resources and Climat

Manual de utilização de ferramenta do Centro Comum de Investigação para validação das mudanças da cobertura vegetal e do uso da terra

O projeto TREES-3 do CCI tem como objetivo avaliar mudanças da cobertura vegetal na região tropical que ocorreram entre 1990 e 2000, e entre 2000-(2005)-2010. Para isto, foram processadas e avaliadas mudanças da cobertura vegetal em uma grande quantidade de imagens de satélite multi-temporais de resolução espacial média (unidades amostrais de 20 km x 20 km de imagens Landsat). Desta forma, o projeto TREES-3 busca avaliar para cada uma das unidades amostrais a cobertura florestal e as mudanças da cobertura vegetal ocorrida num quinquénio ou década com a mais alta precisão possível. A análise da mudança da cobertura vegetal e do uso da terra inclui também uma etapa de validação visual da classificação das imagens de satélite para atribuir as classes definitivas. Para esta etapa, o CCI desenvolveu uma ferramenta computacional chamada ‘‘Ferramenta do CCI para validação das mudanças da cobertura vegetal e do uso da terra’’. Esta ferramenta é utilizada por agentes florestais nacionais ou especialistas em sensoriamento remoto provenientes de países tropicais. Nesta ferramenta, a interpretação visual das imagens de satélite é efetuada de maneira simultânea utilizando imagens de dois períodos diferentes. Desta forma, é possível verificar e ajustar classes de uso da terra que foram previamente definidas. Neste trabalho, a FAO colabora com o CCI no âmbito do projeto de levantamento por sensoriamento remoto para avaliação dos recursos florestais mundiais (FRA). O CCI agregou na ferramenta computacional uma função que permite atribuir classes de uso da terra que fazem parte da classificação utilizada pela FAO. O presente documento, intitulado ‘‘Manual de utilização de ferramenta do Centro Comum de Investigação para validação das mudanças da cobertura vegetal e do uso da terra”, explica o procedimento para instalação da ferramenta e descreve as características da interface gráfica do usuário.JRC.H.3-Forest Resources and Climat

Projet ReCaREDD - Atelier sur le suivi de la dégradation forestière par télédétection

Le CCR a organisé un atelier à Brazzaville, République du Congo, du 23 au 25 mai 2016 visant à présenter des options méthodologiques et applications potentielles pour l’estimation de la dégradation forestière par télédétection. Les objectifs principaux de l’atelier sont de conduire des exercices pratiques d’estimation de la dégradation des forêts. Un plan de travail pour un cas d’étude sur le suivi de la dégradation forestière en République du Congo a été développé avec les participants.JRC.D.1-Bio-econom

CarbEF: a software for reporting carbon emissions from deforestation and forest degradation under REDD+

This document describes a carbon emission reporting method based on maps of forest changes. The method is based on the Intergovermental Panel on Climate Changes (IPCC) guidelines to define forests, deforestation, and forest degradation from multi-temporal tree cover change maps. The CarbEF module of the IMPACT toolbox software implements this method and produces reports. CarbEF module reports ‘activity’ data and carbon emissions from deforestation and forest degradation using: (i) A map of tree cover loss, usually generated from multi-temporal tree cover maps at fine spatial resolution (i.e. maps of tree cover loss at <30m resolution), (ii) a national forest definition and (iii) forest carbon stock values (from national data or other scientific literature).JRC.D.1-Bio-econom

Caractérisation de la Dynamique des Feux et del'Evolution du Couvert dans le Parc du W Burkina Faso, Bénin et Niger.

Abstract not availableJRC.H - Institute for environment and sustainability (Ispra