WEP.P12: Land Cover Change: Analysis Methods

Session Type: Poster
Time: Wednesday, July 24, 17:20 - 19:00
Location: Ground Floor Foyer, Poster Area
 
WEP.P12.86: PROMOTION OF SUPERVISED CLASSIFICATION FOR LAND USE DEVELOPMENT
         Sam Nwaneri; Alcorn State University
         Delandria Jones; Alcorn State University
         TeAmbreya Moore; Alcorn State University
         Jaclyn P. Kuzniar; Alcorn State University
 
WEP.P12.87: FEATURE LEVEL FUSION OF MULTI-TEMPORAL ALOS PALSAR AND LANDSAT DATA FOR MAPPING AND MONITORING DEFORESTATION AND FOREST DEGRADATION IN GUYANA
         Johannes Reiche; Wageningen University
         Carlos Souza Filho; Imazon – Amazon Institute of People and the Environment
         Dirk Hoekman; Wageningen University
         Jan Verbesselt; Wageningen University
         Haimwant Persaud; Guyana Forestry Commission
         Martin Herold; Wageningen University
 
WEP.P12.88: URBAN AREA TEMPORAL CHANGING ANALYSIS AND MODELING IN CHIANG MAI, THAILAND
         Apitach Saokarn; Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Royal Thai Survey Department
         Chunxiang Cao; Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University
         Chotipa Kulrat; Mahidol University
 
WEP.P12.89: FUSION ALGORITHM OF PIXEL-BASED AND OBJECT-BASED CLASSIFIER FOR REMOTE SENSING IMAGE CLASSIFICATION
         Aiying Zhang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Ping Tang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
 
WEP.P12.90: LAND COVER CHANGE DETECTION USING UNSUPERVISED KERNEL C-MEANS AND MULTI-TEMPORAL SAR DATA
         Mohammad Fazel; University of Tehran
         Valentin Poncos; University of Calgary / Kepler Space Inc.
         Saeid Homayouni; University of Tehran
         Mahdi Motagh; GFZ German Research Center for Geosciences
 
WEP.P12.91: REMOTE SENSING IMAGE CLASSIFICATION APPROACH BASED ON SUB-BLOCK FEATURES
         Aiying Zhang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Ping Tang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences