Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges

Remote Sensing

Volumn 11, Issue 3, 2019, Pages

  Pham, Tien Dat ^a   Yokoya, Naoto ^a   Bui, Dieu Tien ^b   Yoshino, Kunihiko ^c   Friess, Daniel A ^d  

^a Disaster Resilience Science Team   (Japan)

^b UNIVERSITY OF SOUTH EASTERN NORWAY   (Norway)

^c UNIVERSITY OF TOKYO   (Japan)

^d NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Biomass; Blue carbon; Machine learning; Mangrove species; Mapping; REDD+

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; BIOMASS; CARBON; CLIMATE CHANGE; ECOSYSTEMS; FORESTRY; GAS EMISSIONS; GREENHOUSE GASES; LEARNING SYSTEMS; MACHINE LEARNING; MAPPING; SYNTHETIC APERTURE RADAR;

BIOPHYSICAL PARAMETERS; CLIMATE CHANGE MITIGATION; MACHINE LEARNING TECHNIQUES; MANGROVE SPECIES; REDD; REMOTE SENSING APPLICATIONS; REMOTE SENSING APPROACHES; REMOTE SENSING TECHNIQUES;

REMOTE SENSING;

EID: 85061348027     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs11030230     Document Type: Review

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