Canopy cover estimation in miombo woodlands of Zambia: Comparison of Landsat 8 OLI versus RapidEye imagery using parametric, nonparametric, and semiparametric methods

Remote Sensing of Environment

Volumn 179, Issue , 2016, Pages 170-182

  Halperin, James ^a   LeMay, Valerie ^a   Coops, Nicholas ^a   Verchot, Louis ^b   Marshall, Peter ^a   Lochhead, Kyle ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b CENTER FOR INTERNATIONAL FORESTRY RESEARCH   (Indonesia)

Author keywords

Forest area; Generalized additive model; Generalized linear model; Genetic algorithm; K Nearest Neighbor imputation; National Forest Inventory; Random Forests; REDD+

Indexed keywords

DECISION TREES; DEFORESTATION; DEVELOPING COUNTRIES; ERROR STATISTICS; FORESTRY; GENETIC ALGORITHMS; INFRARED RADIATION; MEMBERSHIP FUNCTIONS; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; SATELLITE IMAGERY; SOILS; TEXT PROCESSING;

FOREST AREA; GENERALIZED ADDITIVE MODEL; GENERALIZED LINEAR MODEL; K-NEAREST NEIGHBORS; NATIONAL FOREST INVENTORIES; RANDOM FORESTS; REDD;

REMOTE SENSING;

BIODIVERSITY; COMPARATIVE STUDY; CONFIDENCE INTERVAL; ESTIMATION METHOD; FOOD AND AGRICULTURAL ORGANIZATION; FOREST DYNAMICS; FOREST RESOURCE; GENETIC ALGORITHM; INFRARED IMAGERY; LANDSAT; NATIONAL PLANNING; PARAMETERIZATION; RAPIDEYE; REMOTE SENSING; SATELLITE IMAGERY; TROPICAL FOREST; VEGETATION COVER; WOODLAND;

ZAMBIA;

EID: 84962771908     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.03.028     Document Type: Article

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