Who Are we Measuring and Modeling for? Supporting Multilevel Decision‐Making in Watershed Management (open access)

Who Are we Measuring and Modeling for? Supporting Multilevel Decision‐Making in Watershed Management

Article describes survey identifying opportunities for hydrologic modeling and monitoring to support overlapping management contexts.
Date: January 10, 2020
Creator: Bremer, Leah L.; Hamel, Perrine; Ponette-González, Alexandra G.; Pompeu, Patricia V.; Saad, Sandra I. & Brauman, Kate A.
System: The UNT Digital Library
A semi-automated method for extracting channels and channel profiles from lidar-derived digital elevation models (open access)

A semi-automated method for extracting channels and channel profiles from lidar-derived digital elevation models

Article introduces a semi-automated method for extracting stream channels and channel profiles from high-resolution digital elevation models (DEMs) using image processing techniques. The method is implemented as an ArcGIS Python add-in toolbar named Channel Extraction and demonstrated using a lidar-derived DEM in a study area along the San Andreas fault in California, USA.
Date: March 10, 2020
Creator: Dong, Pinliang; Zhong, Ruofei; Xia, Jisheng & Tan, Shucheng
System: The UNT Digital Library
Reduced reflectance and altered color: The potential cost of external particulate matter accumulation on urban Rock Pigeon (Columba livia) feathers (open access)

Reduced reflectance and altered color: The potential cost of external particulate matter accumulation on urban Rock Pigeon (Columba livia) feathers

Authors of the article state that airborne particulate matter (PM) can accumulate on feather surfaces and alter feather appearance, so they quantified PM accumulation on Rock Pigeon feathers and analyzed the spectral properties of extracted particulates. Their findings suggest that wild birds could incur an urban pollution penalty as PM accumulation has the potential to alter feather properties.
Date: February 10, 2023
Creator: Ellis, Jennifer L.; Ponette-González, Alexandra G.; Fry, Matthew & Johnson, Jeff A.
System: The UNT Digital Library
Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data (open access)

Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data

Article describes how airborne hyperspectral data has high spectral-spatial information, but mining and using this information effectively is still a great challenge. Therefore, a 3D-1D-CNN model was proposed for feature extraction in complex urban with hyperspectral images affected by cloud shadows.
Date: February 10, 2023
Creator: Ma, Xiaotong; Man, Qixia; Yang, Xinming; Dong, Pinliang; Yang, Zelong; Wu, Jingru et al.
System: The UNT Digital Library