Ryan R Jensen
Biographic Data
| ID | 1919408 |
|---|---|
| NAME | Ryan R Jensen |
| GIVEN NAMES | Ryan R |
| FAMILY NAME | Jensen |
| SIGNATURE | JENSEN R R |
| AFFILIATIONS | Brigham Young University |
| ORCID | 0000-0002-5273-1214 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 2 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 2 |
Protected Areas in Northern Tanzania
Urban Sustainability
Energy, Population and the Urban Canopy
This paper examines the interaction between socio-demographic characteristics (electrical energy usage, population density, and percentage of owner occupied dwellings) and the ability of these characteristics to predict urban leaf area index using ordinary least squares regression (OLS). Urban leaf area index was estimated using a combination of field work, remote sensing, and artificial neural networks, and socio-demographic data were obtained f…
Artificial Neural Networks and Remote Sensing
Accurate land cover classifications and biophysical estimations derived from remotely sensed data are important to generate map products and provide information about the Earth's changing surface. Statistical classifiers are often used to generate many of these data, but these classifiers rely on assumptions that may limit their utility for many datasets. Conversely, Artificial Neural Networks (ANNs) provide an accurate way for researchers to cla…
Sociospatial Applications of Remote Sensing in Urban Environments
Although the development and application of remote sensing data and techniques has been uneven, new sensors, techniques, and research questions have enabled human geographers and workers in other fields to use geospatial technologies to study sociospatial phenomena in built areas. This article describes how remote sensing data have been used in urban areas and highlights some research areas where remote sensing may continue to aid urban geographi…
Mapping and Imagination in the Great Basin
Key Words: cartographyexplorersGreat Basinwestern United States history
Community Leaders and the Urban Forest
Foresters have a sound understanding of the urban forest, but this level of understanding rarely extends to the people who are able to effect change in communities—leaders. This article describes knowledge and understanding of the urban forest based on personal interviews conducted with leaders in two cities using qualitative research methods. Interpretation of the data suggests a knowledge and understanding model with three main constructs: urba…
Using Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenities
Jensen, R., Gatrell, J., Boulton, J., Harper, B. 2004. Using Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenities. Ecology and Society 9(5): 5. https://doi.org/10.5751/ES-01201-090505
Using Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenities
Jensen, R., Gatrell, J., Boulton, J., Harper, B. 2004. Using Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenities. Ecology and Society 9(5): 5. https://doi.org/10.5751/ES-01201-090505
Sociospatial Applications of Remote Sensing in Urban Environments
Although the development and application of remote sensing data and techniques has been uneven, new sensors, techniques, and research questions have enabled human geographers and workers in other fields to use geospatial technologies to study sociospatial phenomena in built areas. This article describes how remote sensing data have been used in urban areas and highlights some research areas where remote sensing may continue to aid urban geographi…
Energy, Population and the Urban Canopy
This paper examines the interaction between socio-demographic characteristics (electrical energy usage, population density, and percentage of owner occupied dwellings) and the ability of these characteristics to predict urban leaf area index using ordinary least squares regression (OLS). Urban leaf area index was estimated using a combination of field work, remote sensing, and artificial neural networks, and socio-demographic data were obtained f…
Community Leaders and the Urban Forest
Foresters have a sound understanding of the urban forest, but this level of understanding rarely extends to the people who are able to effect change in communities—leaders. This article describes knowledge and understanding of the urban forest based on personal interviews conducted with leaders in two cities using qualitative research methods. Interpretation of the data suggests a knowledge and understanding model with three main constructs: urba…
Community Leaders and the Urban Forest
Foresters have a sound understanding of the urban forest, but this level of understanding rarely extends to the people who are able to effect change in communities—leaders. This article describes knowledge and understanding of the urban forest based on personal interviews conducted with leaders in two cities using qualitative research methods. Interpretation of the data suggests a knowledge and understanding model with three main constructs: urba…
Using Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenities
Jensen, R., Gatrell, J., Boulton, J., Harper, B. 2004. Using Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenities. Ecology and Society 9(5): 5. https://doi.org/10.5751/ES-01201-090505
Mapping and Imagination in the Great Basin
Key Words: cartographyexplorersGreat Basinwestern United States history
Sociospatial Applications of Remote Sensing in Urban Environments
Although the development and application of remote sensing data and techniques has been uneven, new sensors, techniques, and research questions have enabled human geographers and workers in other fields to use geospatial technologies to study sociospatial phenomena in built areas. This article describes how remote sensing data have been used in urban areas and highlights some research areas where remote sensing may continue to aid urban geographi…
Energy, Population and the Urban Canopy
This paper examines the interaction between socio-demographic characteristics (electrical energy usage, population density, and percentage of owner occupied dwellings) and the ability of these characteristics to predict urban leaf area index using ordinary least squares regression (OLS). Urban leaf area index was estimated using a combination of field work, remote sensing, and artificial neural networks, and socio-demographic data were obtained f…
Artificial Neural Networks and Remote Sensing
Accurate land cover classifications and biophysical estimations derived from remotely sensed data are important to generate map products and provide information about the Earth's changing surface. Statistical classifiers are often used to generate many of these data, but these classifiers rely on assumptions that may limit their utility for many datasets. Conversely, Artificial Neural Networks (ANNs) provide an accurate way for researchers to cla…
Urban Sustainability
Protected Areas in Northern Tanzania
Geography (7 works) · Computer Science (5 works) · Environmental planning (4 works) · Environmental resource management (4 works) · Environmental Science (4 works) · Land Use and Ecosystem Services (4 works) · Ecology (3 works) · Remote sensing (3 works) · Sociology (3 works) · Urban Green Space and Health (3 works)