Hyperspectral Remote Sensing of Agriculture and Vegetation: Knowledge Gains and Knowledge Gaps

Title

Hyperspectral Remote Sensing of Agriculture and Vegetation: Knowledge Gains and Knowledge Gaps

About the Speaker

Dr. Prasad S. Thenkabail is a Research Geographer-15 with the U.S. Geological Survey (USGS), USA. He has 27+ years’ experience working as a well-recognized international expert in remote sensing and geographic information systems (RS/GIS) and their application to agriculture, wetlands, natural resource management, water resources, forests, sustainable development, and environmental studies.

His work experience spans over 25+ countries spread across West and Central Africa (Rep. of Benin, Burkina Faso, Cameroon, Central African Republic, Côte d'Ivoire, Gambia, Ghana, Mali, Nigeria, Senegal, and Togo), southern Africa (Mozambique, South Africa), South Asia (Bangladesh, India, Myanmar, Nepal, and Sri Lanka), Southeast Asia (Cambodia), the Middle East (Israel, Syria), East Asia (China), Central Asia (Uzbekistan), North America (the United States), South America (Brazil), and Pacific (Japan).

Files

Download Hyperspectral Remote Sensing of Argiculture and Vegetation: Knowledge Gains and Knowledge Gaps (PDF) (11.4 MB)

Description

Talk given for SpSt 522 Class (Remote Sensing Principles)

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Publication Date

4-22-2015

City

Grand Forks, ND

Hyperspectral Remote Sensing of Agriculture and Vegetation: Knowledge Gains and Knowledge Gaps

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