Estimating stand volume and above-ground biomass of urban forests using LiDAR

Remote Sensing

Volumn 8, Issue 4, 2016, Pages

  Giannico, Vincenzo ^a   Lafortezza, Raffaele ^a,b   John, Ranjeet ^b   Sanesi, Giovanni ^a   Pesola, Lucia ^a   Chen, Jiquan ^b  

^a UNIVERSITY OF BARI   (Italy)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Above ground biomass; Forest allometric model; LiDAR; Remote sensing; Stand volume; Urban forest

Indexed keywords

BIOMASS; ECOLOGY; ECOSYSTEMS; OPTICAL RADAR; REMOTE SENSING; URBAN PLANNING; WEIBULL DISTRIBUTION;

ABOVE GROUND BIOMASS; AIRBORNE LASER SCANNING; ALLOMETRIC MODELS; BROAD-LEAVED FORESTS; IN-SITU MEASUREMENT; STAND CHARACTERISTICS; STAND VOLUME; URBAN FORESTS;

FORESTRY;

EID: 84971570831     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8040339     Document Type: Article

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