TH2.R14.2
COMBINING VLM AND GEO-TAGGED FIELD PHOTOS FOR SCALABLE AGRICULTURAL REFERENCE DATA
Stefano Maurogiovanni, Rocco Sedona, Forschungszentrum Jülich, Germany; Mehmet Furkan Celik, University of Twente, Netherlands; Gabriele Cavallaro, University of Iceland, Iceland; Claudia Paris, University of Twente, Netherlands
Session:
TH2.R14: Agriculture: Crop Classification & Boundary Detection XI Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Thu, 13 Aug, 11:15 - 11:30
Presentation
Discussion
Resources
No resources available.
Session TH2.R14
TH2.R14.1: AUTOMATIC AGRICULTURAL PARCEL BOUNDARY DELINEATION FROM SENTINEL-2 IMAGES - AN END-TO-END PIPELINE FOR FIELD POLYGON EXTRACTION
Francesco Redaelli, Lorenzo Lastilla, Laura De Vendictis, e-GEOS, Italy
TH2.R14.2: COMBINING VLM AND GEO-TAGGED FIELD PHOTOS FOR SCALABLE AGRICULTURAL REFERENCE DATA
Stefano Maurogiovanni, Rocco Sedona, Forschungszentrum Jülich, Germany; Mehmet Furkan Celik, University of Twente, Netherlands; Gabriele Cavallaro, University of Iceland, Iceland; Claudia Paris, University of Twente, Netherlands
TH2.R14.3: From Classification to Clustering: Sub-pattern Discovery in Multi-Cropping Time Series
Osmar Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Albuquerque, Daniel Silva, University of Brasília, Brazil
TH2.R14.4: Partitioning the Differences in Evapotranspiration Water Consumption of Double-Season Rice under a Changing Climate
Jing LU, Hainan Aerospace Information Research Institute, China; Min Jiang, Chaolei Zheng, Li Jia, Jing LU, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Massimo Menenti, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, China
Contacts