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Article Meeting Earth Observation Requirements for Global Agricultural Monitoring: An Evaluation of the Revisit Capabilities of Current and Planned Moderate Resolution Optical Earth Observing Missions
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Article A Framework for Defining Spatially Explicit Earth Observation Requirements for a Global Agricultural Monitoring Initiative (GEOGLAM)
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RESEARCH ARTICLE Change in the Green-Up Dates for Quercus
"... The currently available studies on the green-up date were mainly based on ground observa-tions and/or satellite data, and few model simulations integrated with wide coverage satellite data have been reported at large scale over a long time period (i.e.,> 30 years). In this study, we combined phen ..."
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The currently available studies on the green-up date were mainly based on ground observa-tions and/or satellite data, and few model simulations integrated with wide coverage satellite data have been reported at large scale over a long time period (i.e.,> 30 years). In this study, we combined phenology mechanism model, long-term climate data and synoptic scale remote sensing data to investigate the change in the green-up dates forQuercus mongolica over 33 weather stations in Northeast China and its climate-driven mechanism during 1962-2012. The results indicated that the unified phenology model can be well parameterized with the satellite derived green-up dates. The optimal daily mean tempera-ture for chilling effect was between-27°C and 1°C forQ.mongolica in Northeast China, while the optimal daily mean temperature for forcing effect was above-3°C. The green-up dates forQ.mongolica across Northeast China showed a delayed latitudinal gradient of 2.699 days degree-1, with the earliest date on the Julian day 93 (i.e., 3th April) in the south and the latest date on the Julian day 129 (i.e., 9th May) in the north. The green-up date for Q.mongolica in Northeast China has advanced 6.6 days (1.3 days decade-1) from 1962 to
Article Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale
, 2014
"... remote sensing ..."