Glen M Green
Biographic Data
| ID | 122486 |
|---|---|
| NAME | Glen M Green |
| GIVEN NAMES | Glen M |
| FAMILY NAME | Green |
| SIGNATURE | GREEN G M |
| AFFILIATIONS | Indiana University Bloomington |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1990 |
| LATEST PUBLICATION YEAR | 2008 |
| H-INDEX | 1 |
An Approach to Assess Relative Degradation in Dissimilar Forests: Toward a Comparative Assessment of Institutional Outcomes
Tucker, C. M., J. C. Randolph, T. Evans, K. P. Andersson, L. Persha, and G. M. Green. 2008. An approach to assess relative degradation in dissimilar forests: toward a comparative assessment of institutional outcomes. Ecology and Society 13(1): 4. https://doi.org/10.5751/ES-02262-130104
The Use of Spectral Mixture Analysis to Study Human Incentives, Actions, and Environmental Outcomes
The social science community has given increasing attention to the analysis of multitemporal satellite images in human dimensions of environmental change research. This article provides an overview of how image-processing techniques, such as radiometric calibration and spectral mixture analysis, can be applied. The application of these techniques is vital if the social science community wishes to develop a robust research program that allows the …
Satellite imagery, human ecology, anthropology, and deforestation in Madagascar
Deforestation History of the Eastern Rain Forests of Madagascar from Satellite Images
Madagascar is biologically one of the richest areas on Earth, and its plants and animals are among the most endangered. Satellite images and vegetation maps based on earlier aerial photographs were used to determine the extent of eastern rain forests in Madagascar and to monitor the rate of deforestation over a 35-year period. In 1985, 3.8 million hectares of rain forest remained, representing only 50 percent of the 7.6 million hectares existing …
The Use of Spectral Mixture Analysis to Study Human Incentives, Actions, and Environmental Outcomes
The social science community has given increasing attention to the analysis of multitemporal satellite images in human dimensions of environmental change research. This article provides an overview of how image-processing techniques, such as radiometric calibration and spectral mixture analysis, can be applied. The application of these techniques is vital if the social science community wishes to develop a robust research program that allows the …
Deforestation History of the Eastern Rain Forests of Madagascar from Satellite Images
Madagascar is biologically one of the richest areas on Earth, and its plants and animals are among the most endangered. Satellite images and vegetation maps based on earlier aerial photographs were used to determine the extent of eastern rain forests in Madagascar and to monitor the rate of deforestation over a 35-year period. In 1985, 3.8 million hectares of rain forest remained, representing only 50 percent of the 7.6 million hectares existing …
Satellite imagery, human ecology, anthropology, and deforestation in Madagascar
The Use of Spectral Mixture Analysis to Study Human Incentives, Actions, and Environmental Outcomes
The social science community has given increasing attention to the analysis of multitemporal satellite images in human dimensions of environmental change research. This article provides an overview of how image-processing techniques, such as radiometric calibration and spectral mixture analysis, can be applied. The application of these techniques is vital if the social science community wishes to develop a robust research program that allows the …
An Approach to Assess Relative Degradation in Dissimilar Forests: Toward a Comparative Assessment of Institutional Outcomes
Tucker, C. M., J. C. Randolph, T. Evans, K. P. Andersson, L. Persha, and G. M. Green. 2008. An approach to assess relative degradation in dissimilar forests: toward a comparative assessment of institutional outcomes. Ecology and Society 13(1): 4. https://doi.org/10.5751/ES-02262-130104
Environmental Science (4 works) · Biology (3 works) · Geography (3 works) · Remote sensing (3 works) · Agroforestry (2 works) · Demography (2 works) · Ecology (2 works) · Environmental resource management (2 works) · Land Use and Ecosystem Services (2 works) · Plant and Fungal Species Descriptions (2 works)