Winter Wheat Production Estimation Based on Environmental Stress Factors from Satellite Observations
作者： Juan Sui , Qiming Qin , Huazhong Ren , Yuanheng Sun , Tianyuan Zhang
DOI: 10.3390/RS10060962
关键词: Winter wheat 、 Photosynthesis 、 Moderate-resolution imaging spectroradiometer 、 Environmental stress 、 Environmental science 、 Crop yield 、 Water content 、 Atmospheric sciences 、 Agriculture 、 Photosynthetically active radiation
摘要: The rapid and accurate estimation of wheat production at a regional scale is crucial for national food security sustainable agricultural development. This study developed new gross primary productivity (GPP) model (denoted as the [ACPM]), based on effects light, heat, soil moisture, nitrogen content (N) light-use efficiency winter wheat. ACPM used quantic additivity environmental factors to improve minimum form or multiple multiplication in previous thus characterized joint N crop photosynthesis performance. key parameters (i.e., light) were determined from photosynthetically active radiation product Himawari-8 sensor fraction Moderate Resolution Imaging Spectroradiometer (MODIS). heat was land temperature products MODIS. moisture obtained inversion using visible shortwave infrared drought index (VSDI), whereas stress detected newly modified ratio vegetation (MRVI), which could accurately obtain spatiotemporal distribution leaf chlorophyll two other models (named GPP1 GPP2 models) applied MODIS images Hengshui City. evaluation results, ground measurement, indicated that exhibited best estimate dry aboveground biomass (DAM) yield City, with errors <10% <12% DAM yield, respectively. Considering easy operation accessibility corresponding satellite images, Agriculture Crop Photosynthesis Model (ACPM) can be expected provide information shortfalls surplus ahead availability official statistical data.
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