Masayuki Yokozawa

TL;DR: In this article, a new method for remotely determining phenological stages of paddy rice was developed, which consists of three procedures: (i) prescription of multi-temporal MODIS/Terra data; (ii) filtering time-series Enhanced Vegetation Index (EVI) data by time-frequency analysis; and (iii) specifying the phenology stages by detecting the maximum point, minimal point and inflection point from the smoothed EVI time profile.

TL;DR: In this article, the authors synthesized crop and climate data from representative stations across China during 1981-2000 to investigate whether there were significant trends in changes of climate variables in different regions, and whether theses changes have had significant impact on the development and production of the staple crops (i.e., rice, wheat, and maize).

TL;DR: In this paper, the authors investigated climate-crop relationships, recent trends in seasonal climate (maximum and minimum temperatures, diurnal temperature range and precipitation) and their impacts on the yields of major crops (i.e., rice, wheat, maize and soybean) at provincial scales throughout China over the last few decades.

TL;DR: In this paper, a wavelet-based filter was used to detect temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta (VMD) based on MODIS time-series imagery (Waveletbased Filter for detecting spatio-temporal changes in Flood Inundation; WFFI).

TL;DR: A global map of the impacts of ENSO on the yields of major crops and its impacts on their global-mean yield anomalies is presented to highlight the importance of the El Niño/Southern Oscillation to global crop production.