Master in Environmental & Social Change (MSc, MA, MEnv) @ The University of Winnipeg. Fully funded scholarship and fellowship

The new Master in Environmental & Social Change (MSc, MA, MEnv) program offered through the Department of Geography and Department of Environmental Studies and Sciences at The University of Winnipeg has 14 fully funded positions for excellent students in the following areas:

Catchment Biogeochemistry (MEnv or MSc)

Impacts of climate change on carbon and nutrient cycling in boreal forested catchments

Soil Science (MEnv or MSc)

Selection of amendments to immobilize potentially toxic trace elements released from intermittently flooded agricultural soils

Soil amendments to reduce phosphorus losses from flooded soils in Manitoba

Environmental Governance (MEnv or MA)

A First Nation community-university partnership for capacity enhancement in forest land governance

Climate learning and adaptation for northern development

Harnessing economic, social and political changes forced by COVID-19 to advance adaptation: Rerouting institutional pathways for improved social-ecological resilience

Forest Ecology (MEnv or MSc)

Susceptibility of protected black ash stands to potential regulation of spring lake water level, northern Quebec: a biodiversity conservation issue

Planetary Science (MEnv or MSc)

Searching for biosignatures on Mars

Exploring the Moon for in-situ resources

Analysis of returned asteroid samples: insights into prebiotic chemistry

Oil sands: clays and environmental effects

Climate Science Communication (MA, MEnv, MSc)

Climate change communications: the science of storytelling

Indigenous ways of knowing and climate change

Applications are now open for a Fall 2021 start date.

Dr. Ryan Bullock

Canada Research Chair in Human-Environment Interactions

Co-Chair, Master in Environmental and Social Change (MESC) program

Associate Professor, Environmental Studies & Sciences

The University of Winnipeg

P: 204.988.7594 ; E: r.bullock@uwinnipeg.ca

https://esrg.uwinnipeg.ca/

Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
http://geogisgeo.blogspot.com

Comments

REMOTE SENSING INDICES

Remote sensing indices are band ratios designed to highlight specific surface features (vegetation, soil, water, urban areas, snow, burned areas, etc.) using the spectral reflectance properties of the Earth's surface. They improve classification accuracy and environmental monitoring. 1. Vegetation Indices NDVI – Normalized Difference Vegetation Index Formula: (NIR – RED) / (NIR + RED) Concept: Vegetation reflects strongly in NIR and absorbs in RED due to chlorophyll. Measures: Vegetation greenness & health Uses: Agriculture, drought monitoring, biomass estimation EVI – Enhanced Vegetation Index Formula: G × (NIR – RED) / (NIR + C1×RED – C2×BLUE + L) Concept: Corrects for soil and atmospheric noise. Measures: Vegetation vigor in dense canopies Uses: Tropical rainforest mapping, high biomass regions GNDVI – Green Normalized Difference Vegetation Index Formula: (NIR – GREEN) / (NIR + GREEN) Concept: Uses Green instead of Red ...

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...

Landsat band composition

Short-Wave Infrared (7, 6 4) The short-wave infrared band combination uses SWIR-2 (7), SWIR-1 (6), and red (4). This composite displays vegetation in shades of green. While darker shades of green indicate denser vegetation, sparse vegetation has lighter shades. Urban areas are blue and soils have various shades of brown. Agriculture (6, 5, 2) This band combination uses SWIR-1 (6), near-infrared (5), and blue (2). It's commonly used for crop monitoring because of the use of short-wave and near-infrared. Healthy vegetation appears dark green. But bare earth has a magenta hue. Geology (7, 6, 2) The geology band combination uses SWIR-2 (7), SWIR-1 (6), and blue (2). This band combination is particularly useful for identifying geological formations, lithology features, and faults. Bathymetric (4, 3, 1) The bathymetric band combination (4,3,1) uses the red (4), green (3), and coastal bands to peak into water. The coastal band is useful in coastal, bathymetric, and aerosol studies because...

Landsat 8 Band designation and Band Combination.

Landsat 8 Band designation and Band Combination. Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Bands Wavelength (micrometers) Resolution (meters) Band 1 - Coastal aerosol 0.43-0.45 30 Band 2 - Blue 0.45-0.51 30 Band 3 - Green 0.53-0.59 30 Band 4 - Red 0.64-0.67 30 Band 5 - Near Infrared (NIR) 0.85-0.88 30 Band 6 - SWIR 1 1.57-1.65 30 Band 7 - SWIR 2 2.11-2.29 30 Band 8 - Panchromatic 0.50-0.68 15 Band 9 - Cirrus 1.36-1.38 30 Band 10 - Thermal Infrared (TIRS) 1 10.6-11.19 100 Band 11 - Thermal Infrared (TIRS) 2 11.50-12.51 100 Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://www.facebook.com/Applied.Geography http://geogisgeo.blogspot.com

Vineesh V, Geography

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