Executing the workflow of remote sensing analysis (data acquisition, re-projection, geometric correction, radiometric correction, classification, and map production).
Collecting, generating and managing spatial data at project, regional and global scales.
Collecting imagery and data to perform land cover classification.
Performing landcover classification and post classification processes.
Running and improving the existing Python code to manipulate large raster datasets.
Executing land-use change modeling and GHG accounting at site-based and jurisdictional scales.
Contribute to developing biomass calculations associated with land-use change.
Conducting spatial analyses and producing maps to meet reporting requirements, with a particular focus on the new consolidated REDD methodology and JNR.
Creating new GIS tools to improve internal processes.
Work closely with project managers to review spatial data received from partners.
Reviewing technical aspects of AFOLU GHG projects and programs and provide guidance to project developers regarding project typology, eligible methodologies and mechanics of carbon monitoring, reporting and verification.
Contribute to creation and review of carbon feasibility studies, Project Documents and Monitoring and Implementation Reports including background research and creation of content.
Visiting project sites in developing countries, for data gathering and sharing, mapping and collecting ground-truthing data.

Requirements

A minimum of seven (7) to ten (10) years of progressive, relevant GIS/RS experience in applications that involve forestry, agriculture and/or land-use change analysis in developing countries
Bachelor’s degree in Computer Science, Forestry, Geography, Remote Sensing/Geospatial Science or related field, or equivalent experience is required.
Technical Skills Expertise in Nature-based Solutions (NbS), including an understanding of the verification and validation of emissions reductions and removals credits (e.g., methodologies, process) and technical GHG protocol aspects.
In-depth understanding of ESRI ArcGIS platform, including ArcGIS Desktop/Pro, Server, Enterprise/Portal, and Image Server.
Knowledge of open-source geospatial solutions like QGIS and Google Earth Engine.
Knowledge of acquisition, management, interpretation, and exploitation of remote sensing data including spaceborne, airborne, and UAV data and imagery, mosaics, and LiDAR.
In-depth technical knowledge and skills including geo-database design and spatial relationships.
Technical knowledge and skills performing land use and land cover change maps using different sources of satellite imageries including multispectral imagery and radar data.
Good understanding of Python, including GDAL package and JavaScript.
Fluency with the MS Office suite, including formatting in Word and advanced Excel skills.

Benefits

Professional Growth: thrive on the opportunity to learn through training and development with dedicated professionals working from different countries around the world
Collaboration: join a great team atmosphere and a corporate culture based on mutual respect, partnerships, flat reporting structures and the opportunity to work from home.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

remote sensing analysisland cover classificationPythongeometric correctionradiometric correctionland-use change modelingGHG accountinggeo-database designspatial analysissatellite imagery

Soft skills

project managementcommunicationcollaborationguidanceresearch