The Shoreline Video Assessment Method (S-VAM): Using dynamic hyperlapse image acquisition to evaluate shoreline mangrove forest structure, values, degradation and threats

Marine Pollution Bulletin

Volumn 109, Issue 2, 2016, Pages 751-763

  Mackenzie, Jock R ^a   Duke, Norman C ^a   Wood, Apanie L ^b  

^a JAMES COOK UNIVERSITY   (Australia)

^b SEQ Catchments Ltd   (Australia)

Author keywords

Condition; Hyperlapse; Management; Mangroves; Shoreline Video Assessment Method (S VAM); Vietnam

Indexed keywords

CLIMATE CHANGE; ECOSYSTEMS; FISHERIES; IMAGE ACQUISITION; MANAGEMENT; REMOTE SENSING;

CONDITION; HYPERLAPSE; MANGROVES; VIDEO ASSESSMENT; VIET NAM;

FORESTRY;

ANTHROPOGENIC EFFECT; CONSERVATION MANAGEMENT; ENVIRONMENTAL DEGRADATION; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL VALUES; HABITAT MANAGEMENT; HUMAN ACTIVITY; IMAGING METHOD; MANGROVE; SHORELINE;

AGRICULTURAL WORKER; DEGRADATION; DRIVER; FISHING; FOLIAGE; FOREST STRUCTURE; HABITAT; HERBIVORY; HUMAN; MANGROVE; NONHUMAN; QUANTITATIVE STUDY; REHABILITATION; VIDEORECORDING; VIET NAM; AGRICULTURAL LAND; ANIMAL; BRACHYURA; CLIMATE CHANGE; ECOSYSTEM; ENVIRONMENTAL MONITORING; FISH; PROCEDURES; WETLAND;

KIEN GIANG; VIET NAM;

RHIZOPHORACEAE;

ANIMALS; BRACHYURA; CLIMATE CHANGE; ECOSYSTEM; ENVIRONMENTAL MONITORING; FARMS; FISHES; HUMANS; VIETNAM; WETLANDS;

EID: 84990987621     PISSN: 0025326X     EISSN: 18793363     Source Type: Journal    
DOI: 10.1016/j.marpolbul.2016.05.069     Document Type: Article

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