Improving the precision of sample-based forest damage inventories through two-phase sampling and post-stratification using remotely sensed auxiliary information

Environmental Monitoring and Assessment

Volumn 188, Issue 4, 2016, Pages

  Roberge, Cornelia ^a   Wulff, Sören ^a   Reese, Heather ^a   Ståhl, Göran ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Forest damage inventory; Forest health monitoring; Monte Carlo simulation; Post stratification; Remote sensing auxiliary information; Sweden

Indexed keywords

EFFICIENCY; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; REMOTE SENSING; SALINITY MEASUREMENT;

AUXILIARY INFORMATION; FOREST DAMAGE; FOREST HEALTH MONITORING; POST STRATIFICATIONS; SWEDEN;

FORESTRY;

COMPUTER SIMULATION; FOREST INVENTORY; HEALTH MONITORING; MONTE CARLO ANALYSIS; REMOTE SENSING; SAMPLING; STRATIFICATION;

FOREST; RANDOM SAMPLE; SAMPLING; STRATIFICATION; ENVIRONMENTAL MONITORING; PROCEDURES; REMOTE SENSING;

SWEDEN;

ENVIRONMENTAL MONITORING; FORESTS; REMOTE SENSING TECHNOLOGY;

EID: 84960343984     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-016-5208-4     Document Type: Article

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