Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical Data
Spring frost is an extreme temperature event that poses a significant threat to winter wheat production and consequently jeopardizes food security. In the context of climate change, the accelerated phenology of winter wheat due to global warming advances the frost-sensitive stage, thereby escalating...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
|
| Series: | Plants |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2223-7747/12/23/3954 |
| _version_ | 1797399709164240896 |
|---|---|
| author | Di Chen Buchun Liu Tianjie Lei Xiaojuan Yang Yuan Liu Wei Bai Rui Han Huiqing Bai Naijie Chang |
| author_facet | Di Chen Buchun Liu Tianjie Lei Xiaojuan Yang Yuan Liu Wei Bai Rui Han Huiqing Bai Naijie Chang |
| author_sort | Di Chen |
| collection | DOAJ |
| description | Spring frost is an extreme temperature event that poses a significant threat to winter wheat production and consequently jeopardizes food security. In the context of climate change, the accelerated phenology of winter wheat due to global warming advances the frost-sensitive stage, thereby escalating the risk of spring frost damage. Present techniques for monitoring and assessing frost damage heavily rely on meteorological data, controlled field experiments and crop model simulations, which cannot accurately depict the actual disaster situation for winter wheat. In this study, we propose a novel method that utilizes remote sensing index and statistical data to ascertain the spatial distribution of spring frost damage to winter wheat and evaluate the extent of damage. This method was employed to monitor and assess the spring frost damage event that occurred in Shandong province from 3 to 7 April 2018. The result shows that beginning on 3 April, the daily minimum temperature in western Shandong Province dropped significantly (decreased by 17.93 °C), accompanied by precipitation. The daily minimum temperature reached the lowest on 7 April (−1.48 °C). The growth of winter wheat began to be inhibited on 3 April 2018, and this process persisted until 13 April. Subsequently, the impact of spring frost damage on winter wheat ceased and growth gradually resumed. The affected area of winter wheat spanned 545,000 mu with an accuracy rate of 89.72%. Severely afflicted areas are mainly located in the cities of Jining, Zaozhuang, Dezhou, Heze, Liaocheng, Jinan and Tai’an in western Shandong province, and the yield reduction rates were 5.27~12.02%. Our monitoring results were consistent with the distribution of county-level winter wheat yield in 2018 in Shandong province, the daily minimum temperature distribution during spring frost and severely afflicted areas reported by the news. This method proves effective in delineating the spatial distribution of agricultural disasters and monitoring the extent of disaster damage. Furthermore, it can provide reliable information of disaster area and geospatial location for the agricultural department, thereby aiding in disaster damage assessment and post-disaster replanting. |
| first_indexed | 2024-03-09T01:45:00Z |
| format | Article |
| id | doaj.art-6dace815c5f749d1b317ddb6715c1e69 |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-09T01:45:00Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-6dace815c5f749d1b317ddb6715c1e692023-12-08T15:23:45ZengMDPI AGPlants2223-77472023-11-011223395410.3390/plants12233954Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical DataDi Chen0Buchun Liu1Tianjie Lei2Xiaojuan Yang3Yuan Liu4Wei Bai5Rui Han6Huiqing Bai7Naijie Chang8Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaSpring frost is an extreme temperature event that poses a significant threat to winter wheat production and consequently jeopardizes food security. In the context of climate change, the accelerated phenology of winter wheat due to global warming advances the frost-sensitive stage, thereby escalating the risk of spring frost damage. Present techniques for monitoring and assessing frost damage heavily rely on meteorological data, controlled field experiments and crop model simulations, which cannot accurately depict the actual disaster situation for winter wheat. In this study, we propose a novel method that utilizes remote sensing index and statistical data to ascertain the spatial distribution of spring frost damage to winter wheat and evaluate the extent of damage. This method was employed to monitor and assess the spring frost damage event that occurred in Shandong province from 3 to 7 April 2018. The result shows that beginning on 3 April, the daily minimum temperature in western Shandong Province dropped significantly (decreased by 17.93 °C), accompanied by precipitation. The daily minimum temperature reached the lowest on 7 April (−1.48 °C). The growth of winter wheat began to be inhibited on 3 April 2018, and this process persisted until 13 April. Subsequently, the impact of spring frost damage on winter wheat ceased and growth gradually resumed. The affected area of winter wheat spanned 545,000 mu with an accuracy rate of 89.72%. Severely afflicted areas are mainly located in the cities of Jining, Zaozhuang, Dezhou, Heze, Liaocheng, Jinan and Tai’an in western Shandong province, and the yield reduction rates were 5.27~12.02%. Our monitoring results were consistent with the distribution of county-level winter wheat yield in 2018 in Shandong province, the daily minimum temperature distribution during spring frost and severely afflicted areas reported by the news. This method proves effective in delineating the spatial distribution of agricultural disasters and monitoring the extent of disaster damage. Furthermore, it can provide reliable information of disaster area and geospatial location for the agricultural department, thereby aiding in disaster damage assessment and post-disaster replanting.https://www.mdpi.com/2223-7747/12/23/3954frost damagewinter wheatremote sensingstatistical datadamage monitoring |
| spellingShingle | Di Chen Buchun Liu Tianjie Lei Xiaojuan Yang Yuan Liu Wei Bai Rui Han Huiqing Bai Naijie Chang Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical Data Plants frost damage winter wheat remote sensing statistical data damage monitoring |
| title | Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical Data |
| title_full | Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical Data |
| title_fullStr | Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical Data |
| title_full_unstemmed | Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical Data |
| title_short | Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical Data |
| title_sort | monitoring and mapping winter wheat spring frost damage with modis data and statistical data |
| topic | frost damage winter wheat remote sensing statistical data damage monitoring |
| url | https://www.mdpi.com/2223-7747/12/23/3954 |
| work_keys_str_mv | AT dichen monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata AT buchunliu monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata AT tianjielei monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata AT xiaojuanyang monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata AT yuanliu monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata AT weibai monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata AT ruihan monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata AT huiqingbai monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata AT naijiechang monitoringandmappingwinterwheatspringfrostdamagewithmodisdataandstatisticaldata |