Leveraging multitemporal Landsat for soil and vegetation in semiarid environments: Fine tuning with LiDAR Nancy Glenn, Teki Sankey Many others: Jessica.
Comparing Landsat ETM+ imagery with LiDAR data
Monitoring and Prediction of Land Use/Land Cover Change using the Integration of Markov Chain Model and Cellular Automation in the Southeastern Tertiary Hilly Area of Bangladesh
Monitoring Mangrove Forest Changes Using Remote
STAKEHOLDER DIALOGUE IN ZAMBIA Emmanuel Matsika AIACC Zambia Post.Net Box 061, Manda Hill Centre Private Bag E891 Lusaka, Zambia. Tel: +260-96-746900 Email:
GeoTools 2009 Conference A Process For Mapping Shorelines and Intertidal Zones With Multitemporal LANDSAT 7 Images Process input: a series of LANDSAT images;
Machine Learning for Spatio-temporal Datasets and Remote Sensing Remote Sensing for Climate Modeling Physics-based feature detectors combined via machine.
Process input: a series of LANDSAT images; E.g., 20 images over a 2 year span
