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Land Resource Areas and Spatial Analysis of Potential Location of Bioenergy Crops Production in Mississippi

Journal of Sustainable Bioenergy Systems 2021年第4期11卷 187-214页

作者： Yaw Adu Twumasi edmund chukwudi merem John Bosco Namwamba Jacob Banafo Annan Tomas Ayala-Silva Abena Boatemaa Asare-Ansah Zhu Hua Ning Judith Oppong Priscilla Mawuena Loh Diana Botchway Frimpong Faustina Owusu Janeth Ernest Mjema Ronald Okwemba Olipa Simon Mwakimi Brilliant Mareme Petja Caroline Olufunke Akinrinwoye Joyce McClendon-Peralta Hermeshia Jonee Mosby Department of Urban Forestry and Natural Resources Southern University and A&M College Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA USDA-ARS Tropical Agriculture Research Station 2200 P.A. Mayaguez Puerto Rico USA Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania Water Research Commission (WRC) Private Bag X03 Gezina South Africa

Mississippi State is renowned for its land resource areas (LRA) and production of bioenergy crops which generate both agricultural and economic benefits. Agricultural commodities play a key role in economic growth, therefore the ability to produce more would enhance development. This paper offers an analysis of the production of bioenergy crops in Mississippi. Relative measures, time series graphs and descriptive statistics coupled with geographic information systems (GIS) mapping using ArcMap were employed to generate the outcome of this research. The outcome of the statistical analysis indicated that corn and soybeans were the most produced crops in Agricultural Districts 10 and 40. These districts produced more bioenergy crops than the other districts. GIS mapping results also showed that the potential area for bioenergy crops is in zone 131 of the Mississippi Land Resource Area (MLRA). This zone has an absolute advantage in the production of these crops which includes the diversity of biomass production such as corn, cotton, soybeans, wheat, rice, barley, grain sorghum, canola, camelina, algae, hardwoods, and softwood. The paper recommends a constant GIS mapping and land management systems for each agricultural district in Mississippi to enable researchers and farmers to determine the factors which contribute towards the increasing and decreasing trends in the production of the bioenergy crops.

关键词： Land Resource Areas GIS Bioenergy Crops Descriptive Statistics Mississippi

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Fusion of Landsat 8 OLI and PlanetScope Images for Urban Forest Management in Baton Rouge, Louisiana

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Journal of Geographic Information System 2022年第5期14卷 444-461页

作者： Yaw Adu Twumasi Abena Boatemaa Asare-Ansah edmund chukwudi merem Priscilla Mawuena Loh John Bosco Namwamba Zhu Hua Ning Harriet Boatemaa Yeboah Matilda Anokye Rechael Naa Dedei Armah Caroline Yeboaa Apraku Julia Atayi Diana Botchway Frimpong Ronald Okwemba Judith Oppong Lucinda A. Kangwana Janeth Mjema Leah Wangari Njeri Joyce McClendon-Peralta Valentine Jeruto 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 Catharines Canada

In recent years image fusion method has been used widely in different studies to improve spatial resolution of multispectral images. This study aims to fuse high resolution satellite imagery with low multispectral imagery in order to assist policymakers in the effective planning and management of urban forest ecosystem in Baton Rouge. To accomplish these objectives, Landsat 8 and PlanetScope satellite images were acquired from United States Geological Survey (USGS) Earth Explorer and Planet websites with pixel resolution of 30m and 3m respectively. The reference images (observed Landsat 8 and PlanetScope imagery) were acquired on 06/08/2020 and 11/19/2020. The image processing was performed in ArcMap and used 6-5-4 band combination for Landsat 8 to visually inspect healthy vegetation and the green spaces. The near-infrared (NIR) panchromatic band for PlanetScope was merged with Landsat 8 image using the Create Pan-Sharpened raster tool in ArcMap and applied the Intensity-Hue-Saturation (IHS) method. In addition, location of urban forestry parks in the study area was picked using the handheld GPS and recorded in an excel sheet. This sheet was converted into Excel (.csv) file and imported into ESRI ArcMap to identify the spatial distribution of the green spaces in East Baton Rouge parish. Results show fused images have better contrast and improve visualization of spatial features than non-fused images. For example, roads, trees, buildings appear sharper, easily discernible, and less pixelated compared to the Landsat 8 image in the fused image. The paper concludes by outlining policy recommendations in the form of sequential measurement of urban forest over time to help track changes and allows for better informed policy and decision making with respect to urban forest management.

关键词： Remote Sensing Image Fusion Multispectral Images Urban Forest Landsat 8 Operational Land Imager (OLI) PlanetScope Baton Rouge

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Fusion of Landsat 8 OLI and PlanetScope Images for Urban Forest Management in Baton Rouge, Louisiana

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Journal of Geographic Information System（地理信息系统） 2022年第5期

作者： yaw adu twumasi abena boatemaa asare-ansah edmund chukwudi merem priscilla mawuena loh john bosco namwamba zhu hua ning harriet boatemaa yeboah matilda anokye rechael naa dedei armah caroline yeboaa apraku julia atayi diana botchway frimpong ronald okwemba judith oppong lucinda a. kangwana janeth mjema leah wangari njeri joyce mcclendon-peralta valentine jeruto

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