Graduate Study in Urban Forest Ecology Ohio University

We are looking for capable students to join our Urban Forest research team at the Masters or PhD level. Students will work on population dynamics of the urban forest. Remote sensing and ground truthing will be used to characterize change in urban tree communities through decades and centuries, comparing tree demography across gradients of urban development and land ownership. In addition to research commitments, students will take courses and serve as teaching assistants in the Department of Environmental and Plant Biology. Both positions are fully funded including tuition waivers.

Applicants should have a GPA of at least 3.2 and GREs above the 60th percentile. A strong work ethic, quantitative skills, and the ability work independently are essential. Applicants should be physically fit and capable of field work under less-than-ideal conditions. Previous field experience is desirable.

The Department of Environmental and Plant Biology (https://www.ohio.edu/cas/plant-biology) is a community of mutually supportive faculty and students at Ohio University. The University is situated in the small city of Athens, nestled in the forested hills of the Allegheny Plateau. The positions will begin in Summer or Fall of 2020; applications must be received by January 15. Application procedures are described at https://www.ohio.edu/cas/plant-biology/graduate/admissions. If you are interested please contact Glenn Matlack at Matlack@ohio.edu. See my web page at https://www.ohio.edu/cas/matlack.

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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

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Landsat 8 Band designation and Band Combination.

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Vineesh V, Geography

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