首页|21世纪初期东北地区农田物候动态及其对气候的响应

21世纪初期东北地区农田物候动态及其对气候的响应

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利用遥感技术的物候提取方法在理解农田物候对气候变化的敏感性问题中具有较大潜力.基于MODIS的归一化植被指数(Normalized Difference Vegetation Index,NDVI)遥感产品,提取东北农田地区 2005~2020年植被物候参数并用地面实测数据加以验证,然后获取农田物候与气温、降水量和日照时数间的相关关系.结果表明东北地区2005~2020年农田物候空间分布格局较为一致,只在部分区域因作物品种布局原因存在差异;农田物候的时间变化显著,多数地区生长季开始日期以1 d/a的速率在提前,生长季长度以1 d/a的速率在延长.农田物候受气温与降水量的影响较为明显,受日照时数影响不大,同时也在一定程度上受到种植结构变化的影响.而且,农田物候在很大程度上受人为因素干扰,因此有些区域气候因素对其影响表现出相反趋势.
Monitoring Farmland Phenology Changes of Northeast China and Their Response to Climate in Early 21st Century
Using remote sensing phenology extraction method has great potential in understanding the sensitivity of farmland phenology to climate change.Used a satellite-derived Normalized Difference Vegetation Index(ND-VI)to obtain the spatio-temporal patterns of the farmland phenology in NEC from 2005 to 2020 and validated the results using ground phenology observations.Then explored the relationships among farmland phenology,temperature,precipitation and sunshine hours for relevant periods.The results showed that the spatial distribu-tion pattern of farmland phenology was consistent in Northeast China from 2005 to 2020,and only some areas were different due to the distribution of crop varieties.The temporal variation of farmland phenology was signifi-cant.In most regions of NEC,the start date of farmland phenology had advanced by approximately 1 d/a,and the length of vegetation phenology had been prolonged by approximately 1 d/a due to the warm conditions.Farmland phenology was significantly affected by temperature and precipitation,but not by sunshine hours,and was also affected by the change of planting structure to a certain extent..Moreover,farmland phenology is large-ly affected by human factors,so some regional climatic factors show opposite trends.

Farmland phenologyRemote sensingNDVIClimate changeNortheast China

张骞月、张继真、郝欣瑶、张月

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吉林农业大学 资源与环境学院,吉林 长春 130118

松辽水利委员会 松辽流域水土保持监测中心站,吉林 长春 130021

吉林省商品粮基地土壤资源可持续利用重点实验室,吉林 长春 130118

秸秆综合利用与黑土地保护教育部重点实验室,吉林 长春 130118

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农田物候 遥感 NDVI 气候变化 中国东北

国家重点研发计划国家自然科学基金国家自然科学基金联合基金中国科学院战略性先导科技专项

2021YFD150080042301074U19A2061XDA28080500

2024

遥感技术与应用
中国科学院遥感联合中心

遥感技术与应用

CSTPCD北大核心
影响因子:0.961
ISSN:1004-0323
年,卷(期):2024.39(2)
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