Skip to main content

Researcher - Monitoring and Mapping of deforestation NIBIO




Researcher - Monitoring and Mapping of deforestation NIBIO

Key Information
At our main office in Ås, Norway, we have a vacant position as Researcher in Monitoring and Mapping of deforestation.
National Carbon Monitoring Centre (NCMC), is a Norwegian government funded institutional capacity building project hosted at Sokoine University of Agriculture, Tanzania. NCMC is designed to co-ordinate national MRV processes, mainly for the land use, land use change and forestry. NCMC's specific roles include the operation of the Tanzanian MRV system, coordinate the national forest and carbon data collection, and analysis, storage and verification of the results for the UNFCCC and International Community.
NIBIO is the lead international partner providing technical capacity building and support through sharing of expertise, approaches, best practices of analyses, methodologies, tools, and facilitate an overall knowledge sharing with Tanzanian institutions. The candidate will participate in this work with focus on development of the MRV system in Tanzania.
The position is located in Ås, Norway. Several trips to Africa will be required if possible given the current global health crisis. The duration of the position is two years.
Main responsibilities
Capacity building in the form of short-term practical training in Monitoring and Mapping of deforestation, forest degradation and associated carbon dynamics or forest carbon mapping capabilities in the tropical forests and woodlands in the context of climate change mitigation
Develop methods for and Integrating field inventory data with high resolution remote sensing data for accurate monitoring, reporting and verification of forest cover and carbon stock changes
Developing training guidelines and practical manuals to guide local and national training and capacity building participants
Participate in the general dissemination of the project results in terms of writing publications and giving presentations
Professional qualifications (required)
PhD in Forestry, forest management with experience in Remote sensing and Geographic Information System
OR
PhD in Remote sensing and Geographic information system with applications in Forest or land use/landcover monitoring
Willingness to travel to Africa
Will be evaluated positively
Experience with REDD+ and MRV systems
Experience with use of remotely sensed data such as Landsat, Sentinel and 3D data in forest applications such as mapping at regional or national level
Experience with the use of Geographical Information Systems, ArcGIS, QGIS in landcover, land use change mapping and visualization
Experience with remotely sensed data analysis using R or Python or other statistical computing software
Knowledge of google earth engine, collect earth tools, Global Forest Watch data, classification algorithms are assets
Experience with working in Africa
Personal qualifications
Good interpersonal and communication skills
Good analytical and problem-solving skills
Ability to work under pressure and interact with demanding users
Dedication and enthusiasm to work as part of an ambitious research team
Ability to collaborate with both internal and external experts with diverse academic backgrounds and skill sets
Salary and benefits
The position is remunerated according to the Norwegian State Salary Scale as Researcher code 1109, salary grade 59-74 (NOK 523.200 - 691.400 per year), commensurate with qualifications and experience.
Membership in the Norwegian Public Service Pension Fund, which includes a good occupational pension scheme, occupational injury and group life insurance, and low-interest home loans.
Do you need more information?
Contact Dr. Gunnhild Søgaard, tel +47 917 27 960 or Dr. Rasmus Astrup, tel +47 941 51 660 or see website www.nibio.no (http://www.nibio.no)
How to apply for the position
Please send your application with CV electronically via the link on this page.
Take diplomas and letters of recommendation with you if invited to an interview, or submit them as an attachment along with the electronic application/CV.
General information
In accordance with the Norwegian Civil Service equal opportunities policy, qualified candidates are encouraged to apply - regardless of age, gender, functional disabilities or national or ethnic background.
We would like to point out that information about applicants may be subject to public disclosure, in accordance with the Freedom of Information Act (Offentlighetsloven), Section 25. An applicant can request to be exempted from inclusion on a public list of applicants. If the request for confidentiality is denied, the applicant will be notified thereof.
Om arbeidsgiveren
NIBIO?s activities lie within agriculture, food, climate and the environment. The Institute conducts research and management support, and provides knowledge for use in national preparedness, governmental and district management, industry, and the society at large. NIBIO has approximately 700 employees present in all parts of the country. Its main office is located at Ås in Akershus. NIBIO is owned by the Ministry of Agriculture and Food.
Department of Forest and Climate conducts research on the role of forests in the climate system and the effect of climate changes on forests.
The department is working together with the Norwegian Environment Agency on the Norwegian national greenhouse gas inventory under United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol.
The department leads and participates in applied research and development projects of particular relevance to forest and climate in Africa, including capacity building in methods and tools for Monitoring, Reporting and Verification (MRV) for REDD+







....

Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://g.page/vineeshvc
🌏🌎
🌐🌍

Comments

Popular posts from this blog

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology:    - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants.    - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis:    - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis.    - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping:    - Photozincography development allows maps to be split into layers for vegetation, water, etc.    - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography:    - Waldo Tobler's 1959 publication details using computers for cartography.    - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...

History of GIS

The history of Geographic Information Systems (GIS) is rooted in early efforts to understand spatial relationships and patterns, long before the advent of digital computers. While modern GIS emerged in the mid-20th century with advances in computing, its conceptual foundations lie in cartography, spatial analysis, and thematic mapping. Early Roots of Spatial Analysis (Pre-1960s) One of the earliest documented applications of spatial analysis dates back to  1832 , when  Charles Picquet , a French geographer and cartographer, produced a cholera mortality map of Paris. In his report  Rapport sur la marche et les effets du choléra dans Paris et le département de la Seine , Picquet used graduated color shading to represent cholera deaths per 1,000 inhabitants across 48 districts. This work is widely regarded as an early example of choropleth mapping and thematic cartography applied to epidemiology. A landmark moment in the history of spatial analysis occurred in  1854 , when  John Snow  inv...

Representation of Spatial and Temporal Relationships

In GIS, spatial and temporal relationships allow the integration of location (the "where") and time (the "when") to analyze phenomena across space and time. This combination is fundamental to studying dynamic processes such as urban growth, land-use changes, or natural disasters. Key Concepts and Terminologies Geographic Coordinates : Define the position of features on Earth using latitude, longitude, or other coordinate systems. Example: A building's location can be represented as (11.6994° N, 76.0773° E). Timestamp : Represents the temporal aspect of data, such as the date or time a phenomenon was observed. Example: A landslide occurrence recorded on 30/07/2024 . Spatial and Temporal Relationships : Describes how features relate in space and time. These relationships can be: Spatial : Topological (e.g., "intersects"), directional (e.g., "north of"), or proximity-based (e.g., "near"). Temporal : Sequential (e....

GIS: Real World and Representations - Modeling and Maps

Geographic Information Systems (GIS) serve as a bridge between the real world and digital representations of geographic phenomena. These representations allow users to store, analyze, and visualize spatial data for informed decision-making. Two key aspects of GIS in this context are modeling and maps , both of which are used to represent real-world geographic features and phenomena in a structured, analyzable format. Let's delve into these concepts, terminologies, and examples in detail. 1. Real World and Representations in GIS Concept: The real world comprises physical, tangible phenomena, such as landforms, rivers, cities, and infrastructure, as well as more abstract elements like weather patterns, population densities, and traffic flow. GIS allows us to represent these real-world phenomena digitally, enabling spatial analysis, decision-making, and visualization. The representation of the real world in GIS is achieved through various models and maps , which simplify...