Internship Detail

Smart technologies in environmental and agroecological monitoring


Russia, Russian Timiryazev State Agrarian University

Number Of Positions (Max) - 8

Number of Free Positions - 0

Call Deadline Date

12/10/2021

Initial Date

12/10/2021

End Date

14/10/2021

Status

CLOSE

Required knowledges and skills

Basic knowledge in ecology, soil science and/or agronomy will be needed. Skills in statistics and GIS will be highly appreciated

Objectives

The internship is focused on smart technology application skills development of environmental and agroecological monitoring from field and lab investigation till GIS, RS, IoT and/or DSS implementation in the LAMP monitoring sites

Short course modules

General introduction:
Module 1: UAV based photogrammetry utilizing Agisoft Metashape Pro
Lecturer: Alex Yaroslavtsev(Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Module 2: Introduction to R language
Lecturer: Alex Yaroslavtsev (Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Module 3: Exploring techniques of raster data analysis in QGIS
Lecturer: Alex Yaroslavtsev (Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Module 4: Assessing forest biomass features utilising photogrammetry results and R language
Lecturer: Alex Yaroslavtsev (Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Module 5. Extrapolating individual tree real time monitoring data from TreeTalker devices to
remotely assessed spatial data
Lecturer: Alex Yaroslavtsev (Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)

Internship activities

Investigated in the Laboratory of Agroecological Monitoring, Ecosystem Modeling and Prediction (LAMP) natural forest, agricultural, urban and wetland monitoring sites give convenient environment to develop personal skills in the smart technologies of environmental and agroecological monitoring from detailed field and modern lab investigation till GIS, RS, IoT and/or DSS implementation in the LAMP monitoring sites which are representative for principal natural and functional zones at the Central Region of Russia including Moscow megalopolis, Central Forest and Central Chernozemic Reserves. The internship activities will include monitoring green house gases’ fluxes and soil migration, chemical, physical and biological properties of natural and man-changed soils, state and functions of crops, natural and/or urban vegetation. Especial attention will be given to data analysis with modern tools of GS, RS, GIS and DSS up to paper draft and/or recommendation for practice developing.

Additional notes

Due to COVID limitations, the internship is considered both in online or offline formats considering the limitations existing by the call announcement.

TAURUS