Vineesh V, Geography

Snow Geophysics and Remote Sensing Graduate Opportunities starting January 2021 Boise State University The Department of Geosciences at Boise State University (Boise, Idaho, USA) has immediate openings for MSc and PhD geophysics applications on a project funded by the U.S. Army Cold Regions Research and Engineering Laboratory (CRREL) entitled "Advancement of snow monitoring for water resources, vehicle mobility, and hazard mitigation: using optical, microwave, acoustic, and seismic techniques". This project aims to improve our ability to map snow properties related to hydrology and vehicle mobility, and to monitor avalanche events, using remote sensing and geophysics.   Graduate positions are currently available to focus on 1) LiDAR and optical remote sensing of snow, 2) ground-based and InSAR radar remote sensing of snow, and 3) seismo-acoustic sensing of snow. All three projects involve data acquisition with state-of-the-art instrumentation, numerical modeling, interpretati

Difference between Kriging and IDW. What does kriging mean? least squares estimate. Kriging is a type of regression that gives a least squares estimate of data (Remy et. ... Unlike linear regression or inverse distance weighted interpolation, kriging interpolation is based primarily on empirical observations, the observed sample data points, rather than on a pre-assumed model. What is GIS IDW? Inverse Distance Weighted (IDW) is a method of interpolation that estimates cell values by averaging the values of sample data points in the neighborhood of each processing cell. ... Specifying a lower power will give more influence to the points that are farther away, resulting in a smoother surface. Which interpolation method is best? The most used and promising techniques are universal Kriging and linear regression models in combination with Kriging (residual Kriging) or IDW. E.g.: Air temperature data – Kriging is most likely to produce the best estimation of a continuous surface, followed by

#Map This is a digitally rendered geology map from 1911 of North America, complied by the United States Geological Survey, the Geological Survey of Canada and the Instituto Geologico de Mexico. #cartography  #Geography Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://www.facebook.com/Applied.Geography http://geogisgeo.blogspot.com

Postdoc in remote sensing and ecosystem modelling Swiss Federal Institute for Forest, Snow and Landscape Research Swiss Federal Institute for Forest, Snow and Landscape Research WSL The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards. The Research Unit Forest Dynamics assesses the effects of changing environmental conditions on forest ecosystem functioning. We are offering for 7 months a position as Postdoc in remote sensing and ecosystem modelling You will investigate ecosystem photosynthesis and impacts of extreme cold temperature events in the early season. The challenge is to identify causes, understand mechanisms, and to quantify effects at the continental scale. To achieve this, you will work with ecosystem eddy covariance flux measurements from a large number of sites, develop model parametrisations to resolv

PhD Student Position in SAR Interferometry/Tomography ETH Zürich https://www.jobs.ethz.ch/job/view/JOPG_ethz_z8iB6dwPZotqZhGZ9t The Earth Observation and Remote Sensing Group, Institute of Environmental Engineering, at ETH Zurich is seeking a PhD student for a research project on Interferometric / Tomographic Techniques in Synthetic Aperture Radar (SAR) Remote Sensing to Monitor Surface Displacements starting from autumn/winter 2020/2021. Job description The research focuses on investigating methods and algorithms in the context of synthetic aperture radar (SAR) multibaseline interferometry and SAR tomography for space-based monitoring of ground-surface displacements. By using repeat-pass SAR interferometry, deformation measurements at cm/mm level over longer time spans can be obtained for extended areas. SAR interferometry therefore complements point-based measurement techniques such as observations with total station theodolites, Global Navigation Satellite System (GNSS)-based, or le

Postdoc position on mass changes of mountain glaciers (1.0 FTE) Utrecht University http://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4063&VacatureID=1129928&Vacancy=Postdoc%20position%20on%20mass%20changes%20of%20mountain%20glaciers%20%281%2E0%20FTE%29#top Functie The ice volume stored in mountain glaciers is only a fraction of that in the Greenland and Antarctic ice sheets. Yet, combined they represent the largest land ice contributor to sea level rise in the 20th century, and will continue to play a prominent role in the decades to come. Although it is well established that mountain glaciers are losing mass rapidly, quantification of the processes driving these changes remains challenging. Surface mass balance (SMB) processes - such as snowfall and melt - are driven by the atmosphere, whereas glacier discharge through ice dynamics are predominantly modulated by ice-ocean interaction and internal processes. Clearly, the physics driving the two pr

Ph.D. or M.Sc. Assistantship in Hyperspectral Remote Sensing of Biodiversity Oklahoma State University Description: We invite applications for a Ph.D. or M.Sc. position in the field of remote sensing at Oklahoma State University. The successful candidate will use airborne and spaceborne hyperspectral data (from DLR's DESIS sensor), as well as in-situ measurements (functional traits and species diversity) to (1) map grassland diversity and (2) detect the spread of an invasive alien species in the Joseph H. Williams Tallgrass Prairie Preserve. The position will be housed in the Department of Geography at Oklahoma State University. The target start date is August 2021. Qualifications: Applicants with a masters' degree or bachelor's degree (at the time of appointment) in physical sciences (remote sensing, ecology, environmental science, geography, plant biology), engineering (environmental, optical), or other related fields with relevant research or work experience (e.g., hyper

NASA-funded Graduate Research Assistant in Hydrology and Remote Sensing University of Colorado Boulder We invite applications for a PhD position available in the field of Hydrology and Remote Sensing at the University of Colorado Boulder, in collaboration with UCAR/COSMIC. The graduate student will use novel microwave remote sensing data collected by the Cyclone Global Navigation Satellite System (CYGNSS) constellation to retrieve soil moisture for the majority of the tropics and extra-tropics. The project will merge reflectivity observations from CYGNSS with brightness temperature observations from the Soil Moisture Active Passive (SMAP) mission to downscale the SMAP observations, ultimately creating higher spatial resolution soil moisture retrievals than possible using the radiometer on SMAP alone. The position will be housed in the Department of Geological Sciences. A degree in engineering, earth sciences, physics, or related fields is required. Experience in analysis of remote sens

PhD Assistantship in Remote Sensing University of Georgia  Description: I am seeking a PhD student interested in working on remote sensing science for forestry applications at the Warnell School of Forestry and Natural resources, University of Georgia. The successful candidate will work on research related to the assessment of understory vegetation in the coastal plain region of the Southern United States. This research project will provide the opportunity for the student to potentially test a variety of remote sensing data, including multispectral and hyperspectral satellite and UAV derived imagery, as well as terrestrial and aerial lidar data. The assistantship is expected to start in Spring 2021 (January 11, 2021). Qualifications: Applicants with a masters' degree or bachelor's degree, with relevant research or work experience, are encouraged to apply. Programming and modeling are expected to be the core for data processing, and generation of results during the development o