Interpreting spatial heterogeneity of crop yield with a process model and remote sensing

Ecological Modelling

Volumn 222, Issue 14, 2011, Pages 2530-2541

  Shi, Hu ^a   Xingguo, Mo ^a  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

Remote sensing data; Vcmax; VIP model

Indexed keywords

CENSUS DATA; COASTAL REGIONS; CROP GROWTH MODEL; CROP YIELD; EFFECT OF WATER; NORMALIZED DIFFERENCES; NORTH CHINA PLAIN; PATH COEFFICIENT ANALYSIS; PHOTOSYNTHETIC CAPACITY; PHOTOSYNTHETIC PARAMETERS; PREDICTED YIELD; PROCESS MODEL; PROCESS-BASED MODELS; PRODUCTION PREDICTION; RAINFED; REMOTE SENSING DATA; RUBISCO; SOIL SALINITY; SPATIAL HETEROGENEITY; SPATIAL PATTERNS; SPATIAL VARIABILITY; TERRA-MODIS; VCMAX; VEGETATION INDEX; VIP MODEL; WINTER WHEAT;

COASTAL ZONES; CROPS; NITROGEN; POPULATION STATISTICS; VEGETATION;

REMOTE SENSING;

CATALYSIS; CENSUS; COASTAL ZONE; CROP YIELD; ENZYME ACTIVITY; GROWTH; HETEROGENEITY; IRRIGATION; MODIS; NDVI; NITROGEN; NUMERICAL MODEL; PHOTOSYNTHESIS; RAINFED AGRICULTURE; REMOTE SENSING; SALINITY; SPATIAL ANALYSIS; SPATIAL VARIATION;

CHINA; NORTH CHINA PLAIN;

TRITICUM AESTIVUM;

EID: 79959333407     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2010.11.011     Document Type: Article

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