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Full-Text Articles in Life Sciences
Classification Of Eurasian Watermilfoil (Myriophyllum Spicatum) Using Drone-Enabled Multispectral Imagery Analysis, Colin Brooks, Amanda Grimm, Amy Marcarelli, Nicholas Marion, Robert Shuchman, Michael Sayers
Classification Of Eurasian Watermilfoil (Myriophyllum Spicatum) Using Drone-Enabled Multispectral Imagery Analysis, Colin Brooks, Amanda Grimm, Amy Marcarelli, Nicholas Marion, Robert Shuchman, Michael Sayers
Michigan Tech Publications
Remote sensing approaches that could identify species of submerged aquatic vegetation (SAV) and measure their extent in lake littoral zones would greatly enhance SAV study and management, especially if these approaches can provide faster or more accurate results than traditional field methods. Remote sensing with multispectral sensors can provide this capability, but SAV identification with this technology must address the challenges of light extinction in aquatic environments where chlorophyll, dissolved organic carbon, and suspended minerals can affect water clarity and the strength of the sensed light signal. Here, we present an uncrewed aerial system (UAS)-enabled methodology to identify the extent …
A Review Of Landcover Classification With Very-High Resolution Remotely Sensed Optical Images—Analysis Unit, Model Scalability And Transferability, Rongjun Qin, Tao Liu
A Review Of Landcover Classification With Very-High Resolution Remotely Sensed Optical Images—Analysis Unit, Model Scalability And Transferability, Rongjun Qin, Tao Liu
Michigan Tech Publications
As an important application in remote sensing, landcover classification remains one of the most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly increasing number of Deep Learning (DL) based landcover methods and training strategies are claimed to be the state-of-the-art, the already fragmented technical landscape of landcover mapping methods has been further complicated. Although there exists a plethora of literature review work attempting to guide researchers in making an informed choice of landcover mapping methods, the articles either focus on the review of applications in a specific area or revolve around general deep learning models, which lack a …
Fine-Scale Mapping Of Natural Ecological Communities Using Machine Learning Approaches, Parth Bhatt, Ann Maclean, Yvette Dickinson, Chandan Kumar
Fine-Scale Mapping Of Natural Ecological Communities Using Machine Learning Approaches, Parth Bhatt, Ann Maclean, Yvette Dickinson, Chandan Kumar
Michigan Tech Publications
Remote sensing technology has been used widely in mapping forest and wetland communities, primarily with moderate spatial resolution imagery and traditional classification techniques. The success of these mapping efforts varies widely. The natural communities of the Laurentian Mixed Forest are an important component of Upper Great Lakes ecosystems. Mapping and monitoring these communities using high spatial resolution imagery benefits resource management, conservation and restoration efforts. This study developed a robust classification approach to delineate natural habitat communities utilizing multispectral high-resolution (60 cm) National Agriculture Imagery Program (NAIP) imagery data. For accurate training set delineation, NAIP imagery, soils data and spectral …
The Third Generation Of Pan-Canadian Wetland Map At 10 M Resolution Using Multisource Earth Observation Data On Cloud Computing Platform, Masoud Mahdianpari, Brian Brisco, Jean Granger, Fariba Mohammadimanesh, Bahram Salehi, Saeid Homayouni, Laura Bourgeau-Chavez
The Third Generation Of Pan-Canadian Wetland Map At 10 M Resolution Using Multisource Earth Observation Data On Cloud Computing Platform, Masoud Mahdianpari, Brian Brisco, Jean Granger, Fariba Mohammadimanesh, Bahram Salehi, Saeid Homayouni, Laura Bourgeau-Chavez
Michigan Tech Publications
Development of the Canadian Wetland Inventory Map (CWIM) has thus far proceeded over two generations, reporting the extent and location of bog, fen, swamp, marsh, and water wetlands across the country with increasing accuracy. Each generation of this training inventory has improved the previous results by including additional reference wetland data and focusing on processing at the scale of ecozone, which represent ecologically distinct regions of Canada. The first and second generations attained relatively highly accurate results with an average approaching 86% though some overestimated wetland extents, particularly of the swamp class. The current research represents a third refinement of …
Characterizing Boreal Peatland Plant Composition And Species Diversity With Hyperspectral Remote Sensing, Mara Y. Mcpartland, Michael J. Falkowski, Jason R. Reinhardy, Evan Kane, Randall K Kolka, Merritt R. Turetsky, Et Al.
Characterizing Boreal Peatland Plant Composition And Species Diversity With Hyperspectral Remote Sensing, Mara Y. Mcpartland, Michael J. Falkowski, Jason R. Reinhardy, Evan Kane, Randall K Kolka, Merritt R. Turetsky, Et Al.
Michigan Tech Publications
Peatlands, which account for approximately 15% of land surface across the arctic and boreal regions of the globe, are experiencing a range of ecological impacts as a result of climate change. Factors that include altered hydrology resulting from drought and permafrost thaw, rising temperatures, and elevated levels of atmospheric carbon dioxide have been shown to cause plant community compositional changes. Shifts in plant composition affect the productivity, species diversity, and carbon cycling of peatlands. We used hyperspectral remote sensing to characterize the response of boreal peatland plant composition and species diversity to warming, hydrologic change, and elevated CO2. …
Coastal Ecosystem Investigations With Lidar (Light Detection And Ranging) And Bottom Reflectance: Lake Superior Reef Threatened By Migrating Tailings, Charlie Kerfoot, Martin M. Hobmeier, Sarah Green, Foad Yousef, Colin Brooks, Robert Shuchman, Michael Sayers, Et Al.
Coastal Ecosystem Investigations With Lidar (Light Detection And Ranging) And Bottom Reflectance: Lake Superior Reef Threatened By Migrating Tailings, Charlie Kerfoot, Martin M. Hobmeier, Sarah Green, Foad Yousef, Colin Brooks, Robert Shuchman, Michael Sayers, Et Al.
Michigan Tech Publications
Where light penetration is excellent, the combination of LiDAR (Light Detection And Ranging) and passive bottom reflectance (multispectral, hyperspectral) greatly aids environmental studies. Over a century ago, two stamp mills (Mohawk and Wolverine) released 22.7 million metric tons of copper-rich tailings into Grand Traverse Bay (Lake Superior). The tailings are crushed basalt, with low albedo and spectral signatures different from natural bedrock (Jacobsville Sandstone) and bedrock-derived quartz sands. Multiple Lidar (CHARTS and CZMIL) over-flights between 2008–2016—complemented by ground-truth (Ponar sediment sampling, ROV photography) and passive bottom reflectance studies (3-band NAIP; 13-band Sentinal-2 orbital satellite; 48 and 288-band CASI)—clarified shoreline and …