Sergei Sadkov

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Registration: 21.11.2022

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Specialization: GIS Specialist

GIS SQL Git Python

Portfolio

Pixel AI

Further development of the “DigitalEarth” project aimed to deliver remote sensing analysis to business and society. Was on beta-testing till November 2022. For that project I’ve improved my code for creating deep learning training sets, and also for the remote sensing data visualization, to provide optimal space image looks and readability.

Atlas VR

Virtual reality platform using satellite imagery and thematic maps to create digital twins of landscapes and infrastructure for education, tourism, environmental, and business issues. In this project I was preparing data on space imagery, topography and thematic maps, like forestry of forest canopy height maps. Also I provided the source data reprojection to minimize errors between different map layers.

Digital Earth

The project on cloud software solutions for automated satellite data analysis using AI-technology. My responsibility was to prepare training sets for deep learning to get landcover contours from the remote sensing data. It included remote sensing data refinement and reprojection, correcting the manual interpretation results (geometry and attributes) and creating set of training data with hundreds of images.

Skills

Data Analysis

GIS

JavaScript

Python

QGIS

SQL

UI/UX Design

Work experience

GIS Specialist

Digital Earth

Cloud software solutions for automated satellite data analysis using AI-technology and other solutions to make thematic maps and analytic reports. My responsibility was to prepare training sets for deep learning to get landcover contours from the remote sensing data. It included remote sensing data refinement, reprojection, correcting the manual interpretation results (geometry and attributes), and creating sets of training data with hundreds of images with corresponding raster masks where each data pixel is interpreted as forest, water, crop field, etc.

GIS Specialist

Atlas VR

Virtual reality platform using satellite imagery and thematic maps to create digital twins of landscapes and infrastructure. Used for visual assistance for education, tourism, environmental, and business issues. In this project, I was preparing data on space imagery, topography, and thematic maps, like forestry of forest canopy height maps. Also, I provided the source data reprojection to minimize errors between different map layers.

Chief Specialist on the Remote Sensing Data Analysis

since 04.2019 - Till the present day |JSC "TerraTech"

Python PostgreSQL QGIS C/C++ Git

- Engineering the remote sensing data for creating and sustaining the deep learning platform within “DigitalEarth” and “Pixel-AI” projects. - Making QGIS plugins and Python scripts to automate data refinery and image processing for deep learning and environmental monitoring. - Making thematic maps and 3D models for environmental management, natural hazards control, construction monitoring, and forestry for business and educational purposes. - Preprocessing Remote Sensing Data for deep learning and web mapping, including reprojection, filtering image defects, gamma correction, etc. - Supervising a team of 2-3 junior specialists working on GIS apps and scripts development (mostly QGIS plugins in Python).

Counselor

09.2016 - 07.2018 |Russian Geographical Society

- Supervising an expert group within the Russian Geographical Society grant program. - I edited textbooks and atlases on geography together with a multidisciplinary group of geographers. Over 1.3 million of their copies were published in Russia till summer 2018. - I received a gratitude "For the great personal contribution to the implementation of events and projects of the Russian Geographical Society in 2017".

Cartographer (GIS Analyst)

04.2014 - 11.2014 |Retail Intelligence Location Solutions

- Verified field data on the retail chains in the major cities of Russia. - I made thematic maps considering the size and dynamics of the population, its purchasing power, and preferred competing brands.

GIS Specialist

01.2014 - 01.2018 |Researching on the landscape pattern dynamics in lacustrine thermokarst areas

I worked as a part of a research team investigating thermokarst lakes patterns and dynamics in the Arctic. I was responsible for geostatistical estimates and presenting the results for the publication. In the process, I confirmed from the pattern analysis in the different regions that the lakes growth accelerates when their area reaches 1 ha. The research results were reported on the 2nd Asian Conference on Permafrost (ACOP 2017), and in the number of science publications.

Researcher at Sergeev Institute of Environmental Geoscience

10.2012 - 12.2018 |Russian Academy of Sciences

- Making researches on remote monitoring of natural hazards, especially permafrost, karst, and land subsidence. - Environmental monitoring of mining industry and natural hazards (water pollution, permafrost, etc.), including remote monitoring and field verification. -I used remote sensing data, like satellite and UAV imagery, to create maps and 3D models of environment. - performed geospatial analyses and visualized statistics using R and Python.

GIS Specialist

01.2012 - 01.2018 |Monitoring of mining environmental impact on the Lomonosov diamond mine

It’s a long-term monitoring project in Arkhangelsk region, Russia. My job was to monitor the water pollution, find opportunities to diminish it, and look for potential threats for the environment, like underground water pollution. I used space and UAV imagery to find out the polluted areas, ground penetrating radar to find underground streams and cavities, as well as geochemical tests, to reveal the full picture of the environmental impact. Also, I took part in expeditions every year to collect the data and verify the space image interpretation results in the field.

Educational background

Geography

2011 - 2013

Lomonosov Moscow State University

Geography

2007 - 2011

Lomonosov Moscow State University

Languages

GermanIntermediateRussianNativeEnglishAdvanced