Testing the robustness of predictive models for chlorophyll generated from spaceborne imaging spectroscopy data for a mixedwood boreal forest canopy

International Journal of Remote Sensing

Volumn 35, Issue 1, 2014, Pages 218-233

  Gökkaya, Kemal ^a   Thomas, Valerie ^a   Noland, Thomas ^b   McCaughey, Harry ^c   Treitz, Paul ^c  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b ONTARIO FOREST RESEARCH INSTITUTE   (Canada)

^c QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; FORESTRY; REMOTE SENSING; SPECTROMETERS;

CHLOROPHYLL CONCENTRATION; IMAGING SPECTROSCOPY; PREDICTIVE MODELS; REMOTE SENSING DATA; SPACE-BORNE SENSOR; SPACEBORNE IMAGING SPECTROMETERS; SPATIAL AND TEMPORAL VARIATION; TWO-VARIABLE MODEL;

CHLOROPHYLL;

BOREAL FOREST; CHLOROPHYLL; CONCENTRATION (COMPOSITION); FOREST CANOPY; HYPERION; IMAGING METHOD; LEAF; PREDICTION; REMOTE SENSING; SPECTROSCOPY;

CHLOROPHYLLS; FORECASTS; FORESTRY; REMOTE SENSING; SPECTROMETERS;

HYPERION;

EID: 84890926826     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.866291     Document Type: Article

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