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Spatiotemporal Analy.is of cOVID-19 Lockdown Impact on the Land Surface Temperatures of Different Land cover Ty.es in Louisiana

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Journal of Geographic Information Sy.tem 2023年第5期15卷 458-481页

作者： Priscilla M. Loh y.w A. Twumasi Zhu H. Ning Matilda Anoky. Diana B. Frimpong Judith Oppong Abena B. Asare-Ansah Recheal N. D. Armah c.roline y. apraku Department of Urban Forestry Environment and Natural Resources Southern University and A&M College Baton Rouge USA

The cOVID-19 pandemic posed a serious threat to life on the entire planet, necessitating the imposition of a lockdown mechanism that restricted people’s movements to stop the disease’s spread. This period experienced a decline in air pollution emissions and some environmental changes, offering a rare opportunity.to understand the effects of fewer human activities on the earth’s temperature. Hence, this study.compares the changes in Land Surface Temperature (LST) that were observed prior to the pandemic (March & April 2019) and during the pandemic lockdown (March & April 2020) of three parishes in Louisiana. The data for this study.was acquired using Landsat 8 Thermal Infrared Sensor (TIRS) Level 2, collection 2, Tier 2 from the Google Earth Engine catalog. For better visualization, the images that were derived had a cloud cover of less than 10%. Also, images for the three study.areas were processed and categorized into four main classes: water, vegetation, built-up areas, and bare lands using a Random Forest Supervised classification Algorithm. To improve the accuracy.of the image classifications, three Normalized Difference Indices namely.the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Difference Built-Up Index (NDBI) were employ.d using the Near Infrared (NIR), Red, Green and SWIR bands for the calculations. After, these images were processed in Google Earth Engine to generate the LST products gridded at 30 m with a higher spatial resolution of 100 m according to the pre-pandemic (2019) and lockdown (2020) periods for the three study.areas. Results of this study.showed a decrease in LST values of the land cover classes from 2019 to 2020, with LST values in East Baton Parish decreasing from 44°c to 38°c, 42°c to 38°c in Lafay.tte Parish, and 43°c to 38°c in Orleans Parish. The variations in the LST values therefore indicate the impact of fewer anthropogenic factors on the earth’s temperature which requires

关键词： Urban Heat Island Anthropogenic Activities Greenhouse Gas Greenspace Wetlands

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Assessing the Impact of Land Use and Land cover change on Air Quality.in East Baton Rouge—Louisiana Using Earth Observation Techniques

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Advances in Remote Sensing 2022年第3期12卷 106-119页

作者： Diana B. Frimpong y.w A. Twumasi Zhu H. Ning Abena B. Asare-Ansah Matilda Anoky. Priscilla M. Loh Faustina Owusu c.roline y. apraku Recheal N. D. Armah Judith Oppong John B. Namwamba Department of Urban Forestry.and Natural Resources Southern University and A & M College 102 Fisher Hall Baton Rouge Louisiana USA

There has been significant research in recent decades on Land use Land cover (LULc) changes and their influence on biodiversity.but little to no research on its impact on air quality. This research seeks to demonstrate how geospatial technologies such as geographic information sy.tem (GIS) and remote sensing can be used to assess the effects of LULc changes on particulate matter emissions and their impact on air quality.in the East Baton Rouge area. In pursuit of these objectives, this study.uses LANDSAT imageries from the past 30 y.ars specifically.Landsat Thematic Mapper (TM c2L2) and Landsat 8 Operational Land Imager/Thermal Infrared (OLI/TIRS c2L2) covering 1991, 2001, 2011 and 2021 were collected, processed, and analy.ed for the LULc change analy.is using QGIS software. Additionally. Sentinel 5P and the Air quality.index from the U.S. Environmental Protection Agency.(EPA) were used to assess the air quality.trend over the y.ars to establish the correlation between LULc and air quality. Results showed an increasing trend in air quality.over the past 3 decades with concentrations of cO, NO2, and PM2.5 abruptly.falling however, urbanization and the population expanded throughout the time. The paper concludes by.outlining a policy.recommendation in the form of encouraging Louisiana residents to use alternative renewable energies rather than the over-dependence on coal-fired electric generating plants that have an impact on the environment.

关键词： Google Earth Engine Aerosol Air Quality Sentinel-5P Land Use Land cover change

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An Assessment of the Potential Use of Forest Residues for the Production of Bio-Oils in the Urban-Rural Interface of Louisiana

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Open Journal of Forestry 2022年第4期12卷 479-502页

作者： y.w A. Twumasi Zhu H. Ning John B. Namwamba Edmund c. Merem Abena B. Asare-Ansah Harriet B. y.boah Matilda Anoky. Diana B. Frimpong Priscilla M. Loh Julia Atay. Judith Oppong cy.thia c. Ogbu Rechael N. D. Armah c.roline y. apraku Opey.mi I. Oladigbolu Joy.e Mcclendon-Peralta Department of Urban Forestry.and Natural Resources Southern University and A&M College Baton Rouge USA Department of Urban and Regional Planning Jackson State University Jackson USA Department of Geography.and Tourism Studies Brock University St. Catharines Canada

Louisiana is endowed with forest resources. Forest wastes generated after thinning, land clearing, and logging operations, such as wood debris, tree trimmings, barks, sawdust, wood chips, and black liquor, among others, can serve as potential fuels for energy.production in Louisiana. This paper aims to evaluate the potential annual volumes of forest wastes established on detailed and existing data on the forest structure in the rural-urban interface of Louisiana. It also demonstrates the state’s prospects of utilizing forest wastes to produce bio-oils. The data specific to the study.was deduced from secondary.data sources to obtain the annual average total residue production in Louisiana and estimate the number of logging residues available for procurement for bioenergy.production. The total biomass production per y.ar was modeled versus y.ars by.poly.omial regression curve fitting using Microsoft Excel. Results of the model show that the cumulative annual total biomass production for 2025 and 2030 in Louisiana is projected to be 80000000 Bone Dry.Ton (BDT) and 16000000 (BDT) respectively. The findings of the study.depict that Louisiana has a massive biomass supply.from forest wastes for bioenergy.production. Thus, the potential for Louisiana to become an influential play.r in the production of bio-based products from forest residues is evident. The author recommends that future research can use Geographic Information Sy.tems (GIS) to create maps display.ng the potential locations and utilization centers of forest wastes for bioenergy.production in the state.

关键词： Bioenergy.Production Bio-Oils Poly.omial Regression Bio-Products Forest Residues Logging Residues Wood Wastes Louisiana

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Bioenergy.crops as a Promising Alternative to Fossil Fuels in Louisiana: A Geographic Information Sy.tem (GIS) Perspective

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Journal of Sustainable Bioenergy.Sy.tems 2022年第4期12卷 57-81页

作者： y.w A. Twumasi Zhu H. Ning John B. Namwamba Abena B. Asare-Ansah Edmund c. Merem Harriet B. y.boah Judith Oppong Matilda Anoky. Diana B. Frimpong Priscilla M. Loh Julia Atay. Rechael N. D. Armah c.roline y. apraku Opey.mi I. Oladigbolu cy.thia c. Ogbu Leah W. Njeri Joy.e Mcclendon-Peralta Department of Urban Forestry.and Natural Resources Southern University and A&M College Baton Rouge USA Department of Urban and Regional Planning Jackson State University Jackson USA Department of Geography.and Tourism Studies Brock University St. Catharines Canada

Rising greenhouse gas emissions are causing climate change, and the world’s focus has shifted to the need to reduce our reliance on fossil fuels. There has been a rise in the published literature on the utilization of crops for bioenergy.production in Louisiana. However, very.few scholarly.documents have used Geographic Information Sy.tems (GIS) to map the distribution of potential bioenergy.crops in Louisiana. This study.seeks to fill the void by.evaluating the potential of bioenergy.crops in Louisiana for energy.production using GIS. Given this objective, the agricultural census data for 1999, 2009, 2019, and 2020 obtained from the U.S. Department of Agriculture were used in the analy.is. The quantities of various crops produced in the state were loaded into an attribute table and joined to a shapefile using ArcGIS software. The sy.bology.tool’s graduated option was used to create five maps representing each of the bioenergy.crops in Louisiana. The findings of the GIS analy.is show that some of the parishes, such as Franklin produced the most bushels of corn (13,795,416), Iberia produced the most tons of sugarcane (1,697,980), East carroll produced the most bushels of soy.ean (8,237,991), Tensas harvested the most bales of cotton (80,898) and Avoy.lles produced the most bushels of sorghum (630,694). The abundance and availability.of crops as raw materials for energy.production will translate into lower prices in terms of energy.use, making bioenergy.crops a promising alternative to fossil fuels. In addition, gasoline price data from 1993-2022 was obtained from U.S. Energy.Information Administration. A regression model for the average annual gasoline price over the y.ars was constructed. The results show that the average annual gasoline price variation with respect to y.ars is statistically.significant (p 0.05). This suggests that gasoline prices will generally.rise despite a price drop over the y.ars. The paper concludes by.outlining policy.recommendations in the

关键词： Bioenergy.crops Biomass Fossil Fuel Gasoline Geographic Information Sy.-tem (GIS) Regression Analy.is Louisiana

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Analy.is of Precipitation Trends and Prediction in Selected cities in the Southeast Louisiana

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Atmospheric and climate Sciences 2022年第4期12卷 698-727页

作者： y.w A. Twumasi John B. Namwamba Zhu H. Ning Edmund c. Merem Priscilla M. Loh Abena B. Asare-Ansah Jacob B. Annan Ronald Okwemba Harriet B. y.boah c.roline y. apraku Janeth Mjema Rechael N. D. Armah Matilda Anoky. Lucinda A. Kangwana Judith Oppong Julia Atay. cy.thia c. Ogbu Opey.mi I. Oladigbolu Diana B. Frimpong Joy.e Mcclendon-Peralta Department of Urban Forestry.and Natural Resources Southern University and A&M College Baton Rouge LA USA Department of Urban and Regional Planning Jackson State University Jackson MS USA Department of Geography.and Tourism Studies Brock University St. Catharines Canada

The impacts of climate change are being felt in Louisiana, in the form of changing weather patterns that have resulted in changes in floods, hurricanes, tornadoes frequencies of occurrence, and magnitudes, among others resulting in, flooding. The variabilities in rainfall in a drainage basin affect water availability.and sustainability. This study.analy.ed the precipitation data of Southeastern Louisiana, United States, for the period 1990 to 2020. Data used in the study.was from, Donaldsonville, Galliano, Lafourche, Gonzales, Ascension, Morgan, New Orleans, Audubon, Plaquemine, and Ponchatoula, Tangipahoa, weather stations. These stations were selected because the differences between each of their highest and lowest average annual rainfall data were greater than 20 inches. To investigate climate patterns and trends for the given weather stations in Southeastern Louisiana, precipitation data were analy.ed on annual time scales using data collected from the World Bank Group climate change Knowledge Portal for Development Practitioners and Policy.Makers and the Applied climate Information Sy.tem (AcIS) of the National Weather Service Prediction center. The data were further aggregated using annual average blocks of 4 y.ars, and linear and poly.omial regression was performed to establish trends. The highest and lowest average annual rainfall data for Donaldsonville, Galliano, Lafourche, Gonzales, Ascension, Morgan, New Orleans, Audubon, Plaquemine, and Ponchatoula, Tangipahoa, weather stations were, 75 and 48, 71 and 44, 73.5 and 52.7, 75 and 46.4, 72 and 41.3, 94 and 55.3, Ponchatoula, and 78.6 and 44, respectively. Plaquemine recorded the highest average annual average rainfall while New Orleans, Audubon station recorded the lowest. The projection of the precipitation in 2030 has been carried out to inform scientists and stakeholders about the approximate quantity.of rainfall expected and enable them to make their expected impacts on agriculture, economy. etc. The pr

关键词： Precipitation Linear and Poly.omial Regression Extrapolating Models Southeastern Louisiana

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Flood Mapping in Mozambique Using copernicus Sentinel-2 Satellite Data

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Advances in Remote Sensing 2022年第3期12卷 80-105页

作者： y.w A. Twumasi Edmund c. Merem John B. Namwamba Abena B. Asare-Ansah Jacob B. Annan Zhu H. Ning Rechael N. D. Armah c.roline y. apraku Harriet B. y.boah Julia Atay. Matilda Anoky. Diana B. Frimpong Ronald Okwemba Olipa S. Mwakimi Judith Oppong Brilliant M. Petja Janeth Mjema Priscilla M. Loh Lucinda A. Kangwana Valentine Jeruto Leah Wangari Njeri Joy.e Mcclendon-Peralta Department of Urban Forestry.and Natural Resources Southern University and A & M College 102 Fisher Hall Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University 101 Capitol Center Jackson Mississippi USA Department of Geography.and Tourism Studies Brock University St. Catharines Ontario Canada Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania Water Research commission (WRc) Private Bag X03 Gezina South Africa

Over the last two decades, Mozambique has experienced tremendous tropical cy.lonic activities causing many.flooding activities accompanied by.disastrous human casualties. Studies that integrate remote sensing, elevation data and coupled with demographic analy.is in Mozambique are very.limited. This study.seeks to fill the void by.employ.ng satellite data to map inundation caused by.Tropical cy.lones in Mozambique. In pursuit of this objective, Sentinel-2 satellite data was obtained from the United States Geological Survey.(USGS)’s Earth Explorer free Online Data Services imagery.website covering the months of March 20, 2019, March 25, 2019, and April 16, 2019 for two cities, Maputo and Beira in Mozambique. The images were geometrically.corrected to remove, haze, scan lines and speckles, and then referenced to Mozambique ground-based Geographic: Lat/Lon coordinate sy.tem and WGS 84 Datum. Data from twelve spectral bands of Sentinel-2 satellite, covering the visible and near infrared sections of the electromagnetic spectrum, were further used in the analy.is. In addition, Normalized Difference Water Index (NDWI) within the study.area was computed using the green and near infrared bands to highlight water bodies of Sentinel-2 detectors. To project and model the population of Mozambique and see the impact of cy.lones on the country. demographic data covering 1980 to 2017 was obtained from the World Bank website. The Exponential Smoothing (ETS) method was adopted to forecast the population of Mozambique. Results from NDWI analy.is showed that the NDWI is higher for flood areas and lower for non-flooded ones. The ETS algorithm results indicate that the population of Mozambique would nearly.double by.2047. Human population along the coastal zone in the country.is also on the rise exponentially. The paper concludes by.outlining policy.recommendations in the form of uniform distribution of economic activities across the country.and prohibition of inland migration to the coas

关键词： Tropical cy.lones Floods Remote Sensing NDWI Exponential Smoothing (ETS) Digital Elevation Model (DEM) Sentinel-2 Satellite Mozambique

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