FR1.T07: Agriculture: Remote Sensing for Crop Classification and Mapping |
Session Type: Oral
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Time: Friday, July 26, 08:20 - 10:00
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Location: Room 109
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Session Chairs: Jean-Marc Garneau, Defence R&D Canada and Alicia Joseph, NASA Goddard Space Flight Center
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[View Video] FR1.T07.1: DERIVING CROP SPECIFIC COVARIATE DATA SETS FROM MULTI-YEAR NASS GEOSPATIAL CROPLAND DATA LAYERS
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Claire Boryan; USDA NASS |
Zhengwei Yang; USDA NASS |
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[View Video] FR1.T07.2: IDENTIFICATION OF AGRICULTURAL CROPS IN EARLY STAGES USING REMOTE SENSING IMAGES
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Silvia Valero; Centre d'Études Spatiales de la BIOsphère |
Pietro Ceccato; International Research Institute for Climate and Society (IRI), Columbia University |
Walter E. Baethgen; International Research Institute for Climate and Society (IRI), Columbia University |
Jocelyn Chanussot; GIPSA-lab, Signal & Image Dept., Grenoble Institute of Technology, Grenoble |
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[View Video] FR1.T07.3: ANALYSIS ON THE ECOLOGICAL IMPACT OF CROP PLANTING PATTERN CHANGE -A CASE STUDY IN NORTHEAST CHINA
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Jihua Meng; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
Miao Zhang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
Taifeng Dong; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
Xingzhi You; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
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[View Video] FR1.T07.5: SPECTRAL CLASSIFICATION OF CROP GROUPS FOR LAND USE IDENTIFICATION WITH TEMPORALLY SPARSE TIME-SERIES SATELLITE IMAGES
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Heather North; Landcare Research |
David Pairman; Landcare Research |
Stella Belliss; Landcare Research |
Stephen McNeill; Landcare Research |
Jeromy Cuff; Environment Canterbury |
Zach Hill; Environment Canterbury |
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