Showing posts with label lidar. Show all posts
Showing posts with label lidar. Show all posts

Friday, 13 December 2013

PostDoc - Neotectonics

University of California
United States
Deadline date: 16/12/2013

Description

The Department of Earth Sciences at the University of California, Riverside, invites applications for a faculty position in Neotectonics (broadly defined) at the Assistant Professor level, available July 1, 2014.
We seek a candidate who will develop a research program focused on the kinematics, mechanics, and interactions of faults, and how these features are expressed geologically and/or geomorphically over Quaternary timescales. We are particularly interested in candidates who synthesize field observations with multiple independent datasets or techniques (including, but not limited to satellite/airborne imagery, LiDAR, near-surface geophysics and/or modeling).

Requirements

A successful candidate must also have a strong commitment to excellence in education, and will be expected to teach undergraduate and graduate courses related to the area of specialty.
A Ph.D. in a relevant field and a proven ability to conduct innovative research are required. 

More information and applications

Wednesday, 5 June 2013

Programador C++ y Python

Centre for Sustainable Forestry and Climate Change
Edimburgo, UK

Descripción

Buscamos un programador en C++ y Python sobre QGIS y SEXTANTE para participar en un proyecto europeo llamado Thermolidar (www.thermolidar.com).  Tenemos que crear unas cuantas herramientas operativas para procesar datos LiDAR y Térmico aerotransportado. Algunas librerías existen en C++, otras se pueden incorporar de SEXTANTE, Fusion, etc...Todas tienen que estar unidas en una aplicación para QGIS. 

Requisitos

Interesante un buen conocimiento de formatos LAS, Geotiff y Shapefile. 
Imprescindible buen conocimiento de inglés

Monday, 4 March 2013

PhD - Spatial and temporal variability of intense rain events

Laboratoire d’étude des Transferts en Hydrologie et Environnement
Grenoble, France
 
Description
 
Water and soil resources management and hydrometeorological hazard mitigation are critical issues in mountainous regions, especially those of the Mediterranean edge due to on-going climate change and increased anthropic pressure. Studies, coupling the methodological approaches of hydrometeorology, hydrology and soil sciences, are required to observe and understand the processes and establish hydrosedimentary balances over a range of nested spatial scales, from the hillslope up to medium-scale watersheds (100 – 1000 km²). The PhD thesis will focus on the relationships between the spatial and temporal variability of rainfall in mountainous regions, and the subsequent flash-floods and suspended solids transfers (SST) over nested watersheds in the Ardèche region, France. The objectives are to (1) characterize the fine scale variability of heavy rainfall (5 min, <1 km² typically) and (2) to observe and model the resulting non-linear hydro-sedimentary response. In addition to the operational rainfall observation system (weather radars and raingauge networks of Météo France and the Service de Prévision des Crues du Grand Delta), an X-band Doppler polarimetric radar, well suited to rainfall measurement in mountainous regions, will be available together with a dense network of raingauges and disdrometers. Emphasis will be placed in the thesis on the production of rainfall re-analyzes, temporally continuous with very high resolution for the most intense episodes. An error model will be specified to allow the generation of probabilistic quantitative precipitation estimates. Water flows and SST will be measured continuously at the outlet of the nested watersheds of Gazel (3.4 km2), Claduègne (43 km2) and Auzon (116 km2). In parallel, monitoring a network of limnimeters in the intermittent drainage basins upstream will allow to document the hydrologic response of sample of landscapes (lithology, soil type, vegetation cover, elevation, land use, etc..). Moreover innovative observation techniques of river flows (LSPIV, radar) will be implemented during floods and high resolution LIDAR data will be available in order to characterize the topography and the drainage network. An essential part of the thesis will be devoted to the implementation and development of the DHSVM model (Distributed Hydrology Soil Vegetation atmosphere Model) to understand, using the collected data, the functioning of the watersheds and assess the sensitivity of the spatial-temporal variability of rainfall on the dynamics of water flow and SST. We also plan to work on matching the rainfall spatial resolution and the watersheds spatial discretization in the DHSVM model to optimize the number of soil and erosion parameters and / or to propose new parameterization schemes of the runoff and erosion production at fine scales.
 

Postdoc - Atmospheric Physics

Institute of Physics and Meteorology, University of Hohenheim
Sttutgart, Germany
 
Description
 
We offer a position for 3 years, with possible extension to 6 years in the Working Group on Remote Sensing of the Institute of Physics and Meteorology (IPM). Our lack of understanding of cloud and precipitation processes and the crude parametrization of related processes in atmospheric models is one of the major problems of climate simulation. HD(CP)2 (High Definition Clouds and Precipitation for advancing Cli-mate Prediction) is a project of the German Ministry of Education and Research (BMBF) that joins universities and research institutions in Germany to adress this problem by new measurements and modeling studies with previously unachieved resolution. The HD(CP)2 prototype experiment aiming at the formation of clouds and precipitation in the convective boundary layer is planned for spring 2013. Contributions of IPM to this experiment are measurements of 2D and 3D thermodynamic fields. For this, we will employ two scanning lidars systems for temperature and water vapor measurements. The measurements will be made in synergy with other sensors of the project partners (e.g., Doppler and aerosol lidars). The data analysis provides – among other parameters – mean fields of temperature and humidity as well as profiles of turbulent moments up to the 4th order and co-variances like sensible and latent heat fluxes. For the data products, a detailed error analysis will also be carried out. The task of the postdoc is to support the field experiment and to analyze the data collected by IPM as well as to merge them with other remote sensing and in-situ measurements.
 

Wednesday, 26 September 2012

32 Internships in Earth Sciences

Centre National d’Etudes Spatiales (CNES)
Toulouse, France

The following Internships are offered at CNES on the Earth Sciences domain:

+ A free tool for the processing of images adapted to suit the "Universal Access" context of the International Charter on Space and Major Disasters
+ Analysis of the representation of fine oceanic scales in altimetric measurements in preparation for the SWOT mission – Application to the Gulf of Lions region.
+ Analysis of the variability in sunflower growth and yield, using remote sensing.
+ Analysis of variations in the continental water stocks in the large tropical basins, by means of multi-satellite observation.
+ Auto-classification using the auto-organisational Kohonen maps of the RFI signatures (radio interference) present in the SMOS measurements
+ Classification into multi-temporal image series
+ Contribution to the improvement of the radiometric calibration on the moon.
+ Earth observation image processing application for mobile devices
+ Estimation of the quantity of aerosols in high-resolution image time series
+ Evaluation and calibration of the accelerometers of the SWARM mission at the ESA.
+ Ground humidity in a root zone by ssimilating SMOS surface pressure
+ Implementation of DISPATCH within an operational chain


Tuesday, 19 June 2012

Postdoc - Remote Sensing - LIDAR

Postdoctoral Research Fellow position - University of Exeter (UK)

This is a 42 month NERC funded post-doctoral position which is seeking new ways of using fine scale remote sensing data to describe the structure and function of urban ecosystems. A key component of the work will utilise discrete return and full waveform LiDAR data to understand the three dimensional structure of urban greenspaces. The successful applicant will work within an interdisciplinary team including ecologists and social scientists.

http://admin.exeter.ac.uk/personnel/jobs/R11319.pdf

To apply, please send your CV, covering letter, completed application and equal opportunities form to Kath Buckell K.M.Buckell@exeter.ac.uk quoting the reference number R11319 / P43450 in any correspondence.

Application forms etc can be downloaded from here: https://jobs.exeter.ac.uk/