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

Post a Comment

Popular posts from this blog

Platforms in Remote Sensing

In remote sensing, a platform is the physical structure or vehicle that carries a sensor (camera, scanner, radar, etc.) to observe and collect information about the Earth's surface. Platforms are classified mainly by their altitude and mobility : Ground-Based Platforms Definition : Sensors mounted on the Earth's surface or very close to it. Examples : Tripods, towers, ground vehicles, handheld instruments. Applications : Calibration and validation of satellite data Detailed local studies (e.g., soil properties, vegetation health, air quality) Strength : High spatial detail but limited coverage. Airborne Platforms Definition : Sensors carried by aircraft, balloons, or drones (UAVs). Altitude : A few hundred meters to ~20 km. Examples : Airplanes with multispectral scanners UAVs with high-resolution cameras or LiDAR High-altitude balloons (stratospheric platforms) Applications : Local-to-regional mapping ...
Post a Comment
Read more

Model GIS object attribute entity

These concepts explain different ways of organizing, storing, and representing geographic information in a Geographic Information System (GIS) . They include database design models (ER model), data structure models (Object and Attribute models), and spatio-temporal representations that integrate location, entities, and time . Together, they help GIS manage both spatial data (where things are) and descriptive information (what they are and how they change over time) . 1. Object-Based Model (Object-Oriented Data Model) The Object-Based Model treats geographic features as independent objects that combine spatial geometry and descriptive attributes within a single structure. Core Concept: Each geographic feature (such as a building, road, or river ) is represented as a self-contained object that stores both: Geometry – location and shape (point, line, polygon) Attributes – descriptive properties (name, type, length, capacity) Unlike older georelational models , which stored spatial ...
Post a Comment
Read more

Types of Remote Sensing

Remote Sensing means collecting information about the Earth's surface without touching it , usually using satellites, aircraft, or drones . There are different types of remote sensing based on the energy source and the wavelength region used. 🛰️ 1. Active Remote Sensing 📘 Concept: In active remote sensing , the sensor sends out its own energy (like a signal or pulse) to the Earth's surface. The sensor then records the reflected or backscattered energy that comes back from the surface. ⚙️ Key Terminology: Transmitter: sends energy (like a radar pulse or laser beam). Receiver: detects the energy that bounces back. Backscatter: energy that is reflected back to the sensor. 📊 Examples of Active Sensors: RADAR (Radio Detection and Ranging): Uses microwave signals to detect surface roughness, soil moisture, or ocean waves. LiDAR (Light Detection and Ranging): Uses laser light (near-infrared) to measure elevation, vegetation...
Post a Comment
Read more

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl...
Post a Comment
Read more

Spatial data and Attribute data

Spatial Data Definition: Spatial data represents the geometric location of features on the Earth's surface. It defines the shape, size, and position of geographic entities. Key Concepts and Terminologies: Geometric Representation: Point Data: Represents a single location (e.g., a city center, weather station). Line Data: Represents linear features (e.g., roads, rivers). Polygon Data: Represents area-based features (e.g., administrative boundaries, lakes). Coordinate Systems & Projections: Geographic Coordinate System (GCS): Uses latitude and longitude (e.g., WGS 84). Projected Coordinate System (PCS): Converts curved surface data to a flat map (e.g., UTM, Mercator). Data Formats: Vector Data: Stores discrete features (points, lines, polygons). Raster Data: Stores continuous data in grid format (e.g., satellite imagery, elevation models). Examples of Spatial Data: A vector dataset of roads with line geometries stored in Shapefile (.shp) f...
Post a Comment
Read more