Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment

Water Resources Research

Volumn 48, Issue 5, 2012, Pages

  Nearing, G S ^a   Crow, W T ^b   Thorp, K R ^b   Moran, M S ^c   Reichle, R H ^d   Gupta, H V ^a  

^a UNIVERSITY OF ARIZONA   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c SOUTHWEST WATERSHED RESEARCH CENTER   (United States)

^d NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGROTECHNOLOGY TRANSFER; DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; INITIAL CONDITIONS; LEAF AREA INDEX; MODEL STATE; MODELING UNCERTAINTIES; OBSERVATION ERRORS; OBSERVING SYSTEM SIMULATION EXPERIMENTS; REMOTE SENSING DATA; RESAMPLING; ROOT ZONE; SOIL PARAMETERS; WEATHER INPUTS; WHEAT YIELD;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA PROCESSING; DECISION SUPPORT SYSTEMS; ESTIMATION; EXPERIMENTS; GEOLOGIC MODELS; GRAIN GROWTH; REMOTE SENSING; SOIL MOISTURE;

UNCERTAINTY ANALYSIS;

AGRICULTURAL MODELING; CROP YIELD; CULTIVAR; DATA ASSIMILATION; DECISION SUPPORT SYSTEM; EXPERIMENTAL STUDY; KALMAN FILTER; LEAF AREA INDEX; OBSERVATIONAL METHOD; REMOTE SENSING; RHIZOSPHERE; SOIL MOISTURE; UNCERTAINTY ANALYSIS; WATER AVAILABILITY; WHEAT;

CERES; TRITICUM AESTIVUM;

EID: 84861380412     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR011420     Document Type: Article

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