Roger Almengor González

Geospatial Developer

 

Date and place of birth: 16/02/1987 David Chiriquí, Republic of Panama

Nationality: Panamanian

Place of Residence: Füssen / Germany

Civil status: single

Education:

Date: 

10/2014 – 08/2017

Institution

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TU Munich

Principal subjects/occupational skills covered

Landscape Management, Forest Management, GIS, Remote Sensing

Degree(s) or Diploma(s) obtained:

M. Sc. Sustainable Ressource Management

 

 

Date: 

03/2005 – 08/2010

Institution

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University of Panama

Principal subjects/occupational skills covered

Environmental Management

Degree(s) or Diploma(s) obtained:

Engineer

 

Language skills:

Mother tongue(s): Spanish

 

Understanding

Speaking

Writing

 

Listening

Reading

Spoken interaction

Spoken production

 

English

C1

C1

C1

C1

C1

German

C1

C1

C1

C1

C1

https://en.wikipedia.org/wiki/Common_European_Framework_of_Reference_for_Languages

 

 

Digital competence:

Information processing

Communication

Content
creation

Safety

Problem
solving

Proficient user

Proficient user

Proficient user

Proficient user

Proficient user

Levels: Basic user - Independent user - Proficient user

Digital competences - Self-assessment grid

Computer skills:

  • Proficient user of office suite (word processor, spread sheet, presentation software)
  • Proficient user of GIS software (ArcPro, ArcGIS, QGIS, SAGA, eCognition)
  • Proficient user of programming languages for geospatial analysis (Python, Julia, JavaScript)

 

Other skills / Other Training:

 

2012                    Introduction to Mirasilv (Forest Inventory); INFOA

2016                    Python for Everyone

2016                    Going to Places with Spatial Analysis in ArcPro; ESRI

2016                    Earth Imagery at Work; ESRI

2016                    Exploring GIS Maps; ESRI

2018                   German Language Certificate (DSZ-B); Kolping Academy

2018                    Applied Radar Remote Sensing; Friedrich-Schiller-Universität Jena

2019                   Applied Machine Learning in Python; Coursera

2019                   Introduction to Data Science in Python; Coursera

2020                   Image Processing with Python; Python Academy

2023                   Github and Git; Coursera

2023                   Cyber Security; Knowbe4

 

Key qualifications:

  • Programming: Python, Ansi C, SQL, UML, Julia, JavaScript (GEE), CSS, HTML, LaTeX, Markdown.
  • Use of relational databases: PostgreSQL
  • Use of geospatial databases: PostGIS
  • GIS and Satellite imagery analysis: ArcGIS, QGIS, SAGA
  • Operating Systems: Linux, Windows

 

Countries of Work Experience:

Republic of Panama

 

Employment Record:

Period

Employing organization and your title/position.

Contact information

Country

Summary of activities performed

Seit 01/2022

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GAF AG

info@gaf.de

Germany

GIS – Software Developer

05/2022 – 08/2022

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Saasmetrix GmbH

hello@saasmetrix.io

Germany

Backend Developer

01/2020 – 12/2021

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German Aerospace Centre

Info@gaf.de

Germany

Scientific Researcher

04/2017 – 12/2019

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GAF AG

info@gaf.de

Germany

Geospatial Analyst

02/2017 – 03/2019

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GAF AG

info@gaf.de

Germany

Intern (GIS – Remote Sensing)

08/2016 – 10/2016

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Remote Sensing Solutions GmbH

info@rssgmbh.de

Germany

Intern (GIS – Remote Sensing)

09/2011 – 09/2013

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Forest Finance Panama

info@forestfinance.com

Panama

Forest and Environment Engineer

 

Professional experience record:

Name of assignment or project:

CAP – AMS

Year:

01/2021 – jetzt

Location:

Germany

Client (contact details):

 

Different federal authorities like the Federal Ministry of Agriculture in a multi-year contract

Main project features:

Implementation and further development of automatic remote sensing-based monitoring within the framework of the Common Agricultural Policy (CAP).

Positions held:

Geospatial Developer

Activities performed:

Development of tools for raster, vector, and machine learning, as well as interaction with a PostGIS database.

Creation of tools for automating agricultural parcel monitoring using dense temporal image series from Sentinel-1, Sentinel-2, and Planet Fusion to detect deviations during the growth period.

 

 

Name of assignment or project:

HICAM

Year:

01/2020 – 12/2021

Location:

Germany

Client (contact details):

Helmholz for Environmental Research

Main project features:

As part of the HI-CAM project, the DLR, in collaboration with the Helmholtz Centre for Environmental Research, analyses the impact of climate change on cropland, grassland, and aquatic ecosystems. One of the objectives is to create a classification workflow for the year 2018 using in-situ data and Sentinel-1/2 time series, thus support further investigation for the adaptation of agricultural practices to climate change.

Positions held:

Scientific Researcher

Activities performed:

Creation and conceptualization of a map view of crop types for the years 2019-2020 at national level in Germany using the programming languages C and Python.

Collaboration for the publication of a scientific report in a remote sensing and GIS journal related to the classification of crop types using images from the Sentinel-1 and Sentinel-2 missions.

 

 

Name of assignment or project:

High Resolution Layers (Grassland and Forest)

Year:

2018

Location:

Germany

Client (contact details):

European Commission

Main project features:

Creation of High-Resolution Raster Layers at European level with a 20-100 m spatial resolution with thematic classes.

Positions held:

Geospatial Analyst

Activities performed:

Processing of raster and vector layers for the classification of pasture and forest areas at the European level. Creation of rasterized products for each member state of the European Union in different geographic projections.

Development of workflows for quality assurance of geospatial products.

 

 

Name of assignment or project:

Pure Forest

Year:

09/2011 – 09/2013

Location:

Republic of Panama

Client (contact details):

Federal Agency for Nature Conservation

Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety

Pure Forest GmbH

Main project features:

The project focuses on the certified management of forest areas and the reforestation of mixed forests in previously harvested areas. It involves the replacement of an existing teak monoculture with Acacia mangium as a preparatory step toward the transformation into native mixed forest.

Positions held:

Forest and Environmental Engineer

Activities performed:

Forestry and Environmental Inventory in Agricultural Areas. Surveying and Parcelling of Areas Based on Growth Projections.

Coordination of Timber Harvesting, Transportation, and Intermediate Sales.

 

Publications:

Asam S, Gessner U, Almengor González R, Wenzl M, Kriese J, Kuenzer C. Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data. Remote Sensing. 2022; 14(13):2981. https://doi.org/10.3390/rs14132981

Driving licence: A

Contact information : e-mail : rogeralmengor@gmail.com, phone : +49 (0)1626290775

 

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