Remote Sensing Scientist, Geospatial Software Engineer – Nature-based Solutions

🕒 6 dias atrás

🏄 California – Remoto

🏄 California – Remote

💵 $68.000 - $100.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🗺️ GIS

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Terra Global Capital, LLC.

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2006

💼 Consultoria

🍽️ Alimentos e Bebidas

Consulting • Food & Beverage • Environment

A Terra Global Capital, LLC é uma empresa focada em conectar capital financeiro a capital social e ambiental por meio de soluções climáticas baseadas na natureza. A empresa está envolvida em atividades como assessoria ambiental, agricultura inteligente em relação ao clima e REDD+ jurisdicional/paisagens sustentáveis. Eles trabalham no desenvolvimento de redução de emissões, financiamento de conservação e transações de comercialização e assessoria de risco. A Terra Global Capital opera diversos programas e projetos pelo mundo com o objetivo de empoderar comunidades e promover paisagens sustentáveis, incluindo projetos REDD+ em locais como Malawi, Tanzânia, Myanmar, entre outros. Como uma Entidade Acreditada do Fundo Verde para o Clima, a Terra Global Capital proporciona expertise técnica e financiamento privado relacionado ao clima para apoiar governos, comunidades e parceiros locais.

Descrição

• 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. • Developing code to complement our existing suite of TerraCover©, TerraChange©, Terrafolio©. • Executing land-use change modeling and GHG accounting at site-based and jurisdictional scales. • Contribute to developing biomass calculations associated with land-use change. • Work closely with project managers to review spatial data received from partners. • Developing 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.

🎯 Requisitos

• 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. • At least a 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 technical requirements of all main NbS standards. • Experience in the audit process for validation and verification 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. • Knowledge and strong understanding of machine learning packages. • Knowledge of public cloud services (AWS) and CI/CD tools. • Thorough understanding of (geo-)statistics and data extraction and analysis.

🏖️ Benefícios

• 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.