Soil moisture mapping using Sentinel 1 images: The proposed approach and its preliminary validation carried out in view of an operational product

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8179, Issue , 2011, Pages

  Paloscia, S ^a   Pettinato, S ^a   Santi, E ^a   Pierdicca, N ^b   Pulvirenti, L ^b   Notarnicola, C ^c   Pace, G ^d   Reppucci, A ^e  

^a IFAC CNR   (Italy)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

^c INSTITUTE FOR RENEWABLE ENERGY   (Italy)

^d Advanced Computer Systems SpA   (Italy)

^e Starlab ^*  (Spain)

Author keywords

Artificial Neural Network; Bayes; Inversion Algorithms; Multi temporal approach; Sentinel 1; Soil moisture

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BAYES; INVERSION ALGORITHM; MULTI-TEMPORAL; SENTINEL-1;

ALGORITHMS; COMPUTATIONAL EFFICIENCY; DATA PROCESSING; IMAGE ANALYSIS; SOIL MOISTURE;

NEURAL NETWORKS;

EID: 81855225317     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.899523     Document Type: Conference Paper

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