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open access

Linking random forest and auxiliary factors for extracting the major economic forests in the mountainous areas of southwestern Yunnan Province, China

Description: Article describes how forests are generally extracted from remotely sensed images based on the spectral features, ignoring other important auxiliary information, and the techniques of precise extraction need to be further improved. By using the Sentinel–2 image and auxiliary factors (AFs) including site conditions (SCs) and vegetation indices (VIs), the random forest model with AFs (RF–AFs) was adopted for the extraction of the economic forests in Lancang County, which is a mountainous area wit… more
Date: February 24, 2023
Creator: Huang, Pei; Zhao, Xiaoqing; Pu, Junwei; Gu, Zexian; Feng, Yan; Zhou, Shijie et al.
Item Type: Refine your search to only Article
Partner: UNT College of Science
open access

Linking random forest and auxiliary factors for extracting the major economic forests in the mountainous areas of southwestern Yunnan Province, China

Description: Article describes how forests are generally extracted from remotely sensed images based on the spectral features, ignoring other important auxiliary information, and the techniques of precise extraction need to be further improved. By using the Sentinel–2 image and auxiliary factors (AFs) including site conditions (SCs) and vegetation indices (VIs), the random forest model with AFs (RF–AFs) was adopted for the extraction of the economic forests in Lancang County.
Date: February 24, 2023
Creator: Huang, Pei; Zhao, Xiaoqing; Pu, Junwei; Gu, Zexian; Feng, Yan; Zhou, Shijie et al.
Item Type: Refine your search to only Article
Partner: UNT College of Science
open access

Individual structure mapping over six million trees for New York City USA

Description: Article asserts that individual tree structure mapping in cities is important for urban environmental studies. The authors produced an individual tree dataset including tree locations, height, crown area, crown volume, and biomass over the entire New York City, USA for 6,005,690 trees, which enables the evaluation of urban forest ecosystem services.
Date: February 20, 2023
Creator: Ma, Qin; Lin, Jian; Ju, Yang; Li, Wenkai; Liang, Li & Guo, Qinghua
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Partner: University of North Texas
open access

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

Description: 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.
Item Type: Refine your search to only Article
Partner: UNT College of Science
open access

Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification

Description: This article considers positional shift and rotation angle deviation of the laser scanner and the inertial measurement unit (IMU) and presents a new method for calculating the incident angle based on the rigorous geometric measurement model for airborne light detection and range (LiDAR).
Date: February 1, 2021
Creator: Wu, Qiong; Zhong, Ruofei; Dong, Pinliang; Mo, You & Jin, Yunxiang
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Partner: UNT College of Liberal Arts & Social Sciences
open access

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

Description: 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.
Item Type: Refine your search to only Article
Partner: UNT College of Science
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