Remotely Sensed Data for High Resolution Agro-Environmental Policy Analysis
Policy analyses of agricultural and environmental systems are often limited due to data constraints. Measurement campaigns can be costly, especially when the area of interest includes oceans, forests, agricultural regions or other dispersed spatial domains. Satellite based remote sensing offers a wa...
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| Format: | Others |
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Research Showcase @ CMU
2017
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| Online Access: | http://repository.cmu.edu/dissertations/1012 http://repository.cmu.edu/cgi/viewcontent.cgi?article=2051&context=dissertations |