Although rice straw open burning is one of the main sources of air pollution in Asian countries, problems remain in collecting the activity data needed to calculate emission inventories. In Vietnam, the results from traditional data collection methods, which are reported by the Vietnam General Statistics Office high levels of uncertainty. This is largely due to a lack of human and financial resources. To improve upon this, this study critically assessed the benefits of incorporating cultivation area data obtained by the Sentinel-1 Synthetic Aperture Radar (SAR) satellite in combination with crop production records during the period of 2015–2017. The results suggested that incorporating remote sensing data, especially satellite data, into a process-based crop model can improve the spatial distribution of yield estimates. Satellite data for 2018 were also applied to estimate emissions from rice straw open burning in the Red River Delta, Vietnam, for which official statistics are not otherwise yet available. The results show that a total of 3.24 Mt of burnt rice straw produced 3.82 Mt of CO₂, 301 Gg of CO, 29.5 Gg of PM₁₀, and 27 Gg of PM_2.5. The estimated emission amounts for the common air pollutants SO₂, NO_x, and NH₃ were 583 tonnes, 7.4 Gg, and 13.3 Gg, respectively. Hydrocarbon emissions were 31 Gg for CH₄ and 22.7 Gg for NMVOC. The emission of BC, which is one of the main short-lived climate forcers, totalled 1.6 Gg. Based on these results, satellite data demonstrate great potential for estimating emissions from rice croplands, having the advantages of timely availability and cost competitiveness.

尽管稻草露天焚烧是亚洲国家主要的空气污染源之一，但收集计算排放清单所需的活动数据仍然存在问题。在越南，越南国家统计局报告的传统数据收集方法得出的结果具有很高的不确定性。这主要是由于缺乏人力和财力。为了对此进行改进，本研究严格评估了将Sentinel-1合成孔径雷达（SAR）卫星获得的耕地面积数据与2015-2017年期间的作物生产记录相结合的好处。结果表明，将遥感数据（尤其是卫星数据）纳入基于过程的作物模型可以改善产量估算的空间分布。还使用了2018年的卫星数据来估算越南红河三角洲露天焚烧稻草的排放量，但尚无官方统计数据。结果表明，总共3.24 Mt的稻草烧掉产生了3.82 Mt的CO₂，301 CO的GG，29.5千兆克PM的₁₀，和PM的27千兆克_2.5。常见空气污染物SO ₂，NO _x和NH ₃的估计排放量分别为583吨，7.4 Gg和13.3 Gg。CH _4的碳氢化合物排放量为31 Gg，NMVOC的碳氢化合物排放量为22.7 Gg。BC是主要的短期气候推动因素之一，其排放总量为1.6 Gg。根据这些结果，卫星数据具有估算稻田排放量的巨大潜力，具有及时获取和成本竞争力的优势。