Technical Program: Paper Detail || IEEE M2GARSS 2024 || Oran, Algeria || 15

MO2.R2.2

Application of deep neural networks to groundwater potential mapping in the region of Sidi Bel Abbes, Algeria

Achraf Djerida, Center for Space Telecommunications Operations (COTS),Algerian Space Agency, Medea, Algeria, Algeria; Ahmed Bennia, Lahsen Wahib Kébir, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Arzew, Algérie, Algeria

Session:

MO2.R2: Land, Agriculture and Water Resources 2 Oral

Location:

Room 2

Presentation Time:

Mon, 15 Apr, 12:15 - 12:30 Algeria Time (UTC +1)
Mon, 15 Apr, 20:15 - 20:30 Japan Time (UTC +9)
Mon, 15 Apr, 11:15 - 11:30 UTC
Mon, 15 Apr, 07:15 - 07:30 New York Time (UTC -5)

Session Chair:

Achraf Djerida, Center for Space Telecommunications Operations (COTS),Algerian Space Agency, Medea, Algeria

Session MO2.R2

MO2.R2.1: SPATIOTEMPORAL INFLUENCE OF LULC CHANGE AND THEIR EFFECT ON THE HYDROLOGICAL RESPONSE OF A SEMI-ARID WATERSHED

Bilal BLISSAG, Cherif KESSAR, Algerian Space Agency, Algeria

MO2.R2.2: Application of deep neural networks to groundwater potential mapping in the region of Sidi Bel Abbes, Algeria

MO2.R2.3: EVALUATION OF THE POTENTIAL OF SURFACE SOIL MOISTURE TO IDENTIFY THE DROUGHT PERIODS IN A MEDITERRANEAN REGION (TUNISIA)

Emna Ayari, CESBIO CENTRE D'ETUDES SPATIALES DE LA BIOSPHERE, France; Clement Albergel, European Space Agency Climate Office, United Kingdom; Nicolas Baghdadi, INRAE, France; Nemesio Rodríguez-Fernández, CESBIO CENTRE D'ETUDES SPATIALES DE LA BIOSPHERE, France; Zohra Lili Chabaane, Carthage University, Tunisia; Mehrez Zribi, CESBIO CENTRE D'ETUDES SPATIALES DE LA BIOSPHERE, France

MO2.R2.4: BOREAL BIOME WETLAND CLASSIFICATION USING MULTI-SEASONAL EO DATA ON GEE AND MACHINE LEARNING OPTIMIZATION/XAI MODELLING

Michael Merchant, Rebecca Edwards, Ducks Unlimited Canada, Canada