Application of Satellite Remote Sensing Products, Spectral Unmixing, Wind Erosion, and Air Dispersion Models to Characterize Surface Properties, Dust Emission, and PM10 Dispersion in the Lordsburg Playa

Published: 20 October 2021| Version 1 | DOI: 10.17632/4pn5vsxxm7.1
Contributor:
Iyasu Eibedingil

Description

This data repository includes three parts related to the Lordsburg Playa, New Mexico, United States. Part 01, data and codes for the linear spectral unmixing and Interferometric Synthetic Aperture Radar (InSAR) technique; part 02, data and codes used for the Single-Event Wind Erosion Evaluation Program (SWEEP) model; and part 03, data and codes for the American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD). The data were gathered with CARTEEH support and are also available at the CARTEEH data hub. 1. Part 01: Linear spectral unmixing using optical remote sensing imagery products and InSAR technique using radar images. This package includes three parts: - Part_01_Google_Earth_Engine_Javascript: the Google Earth Engine Javascript codes used for the linear spectral unmixing using Landsat images (Landsat 5 & 8) and Sentinel-2. - Part_01_Spectral_Signature_of_Endmembers: the dataset of spectral signatures of the endmembers (soil, vegetation, and water). - Part_01_Synthetic_Aperture_Radar_Images: the list of the synthetic aperture radar (SAR) images used for the Interferometric Synthetic Aperture Radar (InSAR) technique. 2. Part 02: SWEEP model. This package includes 10 parts: - Part_02_Meteorological_Data_for_SWEEP_Model: the meteorological data used (wind speed, wind direction, and air temperature). - Part_02_SWEEP_Input_20200203_North_Playa: the data input for running SWEEP model for the North Playa field during dusty day of February 3, 2020. - Part_02_SWEEP_Input_20200203_Road_Forks: the data input for running SWEEP model for the Road Forks field during dusty day of February 3, 2020. - Part_02_SWEEP_Input_20200605_North_Playa: the data input for running SWEEP model for the North Playa field during dusty day of June 5, 2020. - Part_02_SWEEP_Input_20200605_Road_Forks: the data input for running SWEEP model for the Road Forks field during dusty day of June 5, 2020. - Part_02_SWEEP_Output_20200203_North_Playa: the output from the SWEEP model for the North Playa field during dusty day of February 3, 2020. - Part_02_SWEEP_Output_20200203_Road_Forks: the output from the SWEEP model for the Road Forks field during dusty day of February 3, 2020. - Part_02_SWEEP_Output_20200605_North_Playa: the output from the SWEEP model for the North Playa field during dusty day of June 5, 2020. - Part_02_SWEEP_Output_20200605_Road_Forks: the output from the SWEEP model for the Road Forks field during dusty day of June 5, 2020. - Part_02_Code_for_Mapping_SWEEP_Output: the code used for plotting the soil loss output from the SWEEP model. 3. Part 03: AERMOD model. This part includes input data, output, and control file used for the AERMOD model and accompanying models. For the each of the five models it includes the control file, input data, and output files. - Part_03_Model_01_AERSURFACE - Part_03_Model_02_AERMINUTE - Part_03_Model_03_AERMET - Part_03_Model_05_AERMOD - Part_03_Model_04_AERMAP - Part_03_Code_for_Mapping_AERMOD_Output

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Institutions

University of Texas at El Paso

Categories

Synthetic Aperture Radar Images, Wind Erosion, Optical Remote Sensing, Atmospheric Dispersion Modeling

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