中国农业干旱的多源遥感监测
发布时间：2023-11-27 20:42
干旱是一种复杂且不为人所知的潜在自然灾害。一直以来,中国频繁遭受干旱事件,对可持续作物的生产带来潜在危害。为了监测干旱,需要大量的历史气象、土壤和农业数据等。研究农业干旱监测的时空变化特征对抗旱和农业种植规划有着重要意义。因此,为了研究干旱,需要一种自动化且高效的方法在庞大的数据集中提取出有价值的信息。本研究采用多个基于遥感产品的数据集和实测气象站点数据,包括中国气象局1961-2017年552个气象站的日降水量和温度数据集,卫星网格化月降水数据、土地覆盖数据、归一化差异植被指数(NDVI)数据和土壤湿度数据等,通过计算和分析标准化降水(SPI)、标准化降水蒸散发指数(SPEI)、降水距平、植被状况指数(VCI)、NDVI距平、增强型植被指数(EVI)、标准化土壤水分指数(SSI)、多变量标准化干旱指数(MSDI)和植被健康指数(VHI),基于皮尔逊相关系数(R)、线性回归、决定系数(R2)、均方根误差(RMSE)和改进的Mann-Kendall检验(MMK检验)等方法评估了中国不同地区干旱事件的发生规律。本论文包括三个部分。第一部分首先用MMK趋势检验方法分析了...
【文章页数】：169 页
【学位级别】：博士
【文章目录】：
ABSTRACT
摘要
Abbreviations
Chapter 1.Introduction
1.1 Background of the Study
1.2 Advances of drought analysis
1.2.1 Description of drought
1.2.2 Types of drought
1.2.3 Meteorological and agricultural drought indices
1.2.3.1 Standardized precipitation index(SPI)
1.2.3.2 Standardized precipitation evapotranspiration index(SPEI)
1.2.3.3 Standardized soil moisture index(SSI)and multivariate standardized drought index(MSDI)
1.2.4 Satellite-based drought indices for drought characterization
1.2.4.1 Normalized difference vegetation index(NDVI)
1.2.4.2 Vegetation condition index(VCI)
1.2.4.3 Enhanced vegetation index(EVI)
1.2.4.4 Vegetation health index(VHI)
1.3 Identified research gaps
1.4 General Aims and specific Objectives
1.5 Structure of the research
Chapter 2.Study area and data
2.1 The study area
2.2 Climate zones of China
2.3 Data acquisition
2.3.1 Satellite data
2.3.1.1 AVHRR/MODIS surface reflectance
2.3.1.2 AVHRR/MODIS land surface temperature/emissivity
2.3.1.3 Soil Moisture data
2.3.2 Meteorological data
2.4 Software used
Chapter 3.Drought assessment over different land cover types
3.1 Drought evolution indicated by meteorological and remote-sensing
3.2 Methodology
3.2.1 Estimation of Standardized precipitation anomaly
3.2.2 Estimation of standardized precipitation index(SPI)
3.2.3 To calculate the NDVI anomaly and VCI
3.2.4 Correlation and regression analysis
3.2.5 The modified Mann-Kendall test
3.3 Results and discussion
3.3.1 Temporal variations of different land cover types
3.3.2 The relationship between meteorological and RS-based drought indices
3.3.3 Trends and significance
3.3.1.1 Monthly and annual precipitation
3.3.1.2 Temporal variations of SPI,VCI,and the NDVI anomaly and their correlation
3.4 Spatial distribution
3.5.1 Spatial distribution of precipitation,NDVI,and VCI in dry and wet seasons
3.5.2 Precipitation,NDVI,and VCI in the driest and wettest years
3.5 Brief Summary
Chapter 4.The response of vegetation phenology and productivity to extreme climatic
4.1 Background
4.2 Data collection
4.3 Methodology
4.3.1 Computation of enhanced vegetation index(EVI)
4.3.2 Standardized anomalies
4.3.3 Computation of drought indices
4.3.3.1 Standardized precipitation-evapotranspiration index(SPEI)
4.3.3.2 Aridity index(AI)
4.3.4 Extraction of phenological metrics
4.3.5 Statistics analysis
4.4 Results and discussion
4.4.1 Variation characteristics of the climatic variables
4.4.2 Impact of climatic variability on vegetation phenology and productivity
4.4.3 Effects of extreme drought and wet years on vegetation phenology and productivity
4.4.4 The sensitivity of climatic and ecosystem variations in China
4.5 Brief conclusion
Chapter 5.Investigate the drought indices performances for prediction of agriculture drought
5.1 Background
5.2 Data
5.3 Methodology
5.4 Results and discussion
5.4.1 Temporal variations of precipitation,relative soil moisture,and vegetation health index(VHI)
5.4.2 Spatial distribution of precipitation,relative soil moisture,and VHI
5.4.3.Drought identification
5.4.4.The Correlation analysis among the drought indices
5.4.5.The2011drought
5.4.6 Trends and significance
5.5 Brief conclusion
Chapter 6.Monitoring the agricultural drought dynamics effect on crop production
6.1 Background
6.2 Data
6.3 Methodology
6.3.1 Computation of agricultural standardized precipitation index(a SPI)
6.3.2 Computation of Vegetation Supply Water Index(VSWI)
6.3.3 Computation of crop yield anomaly
6.4 Results and discussion
6.4.1 Drought frequency
6.4.2 Temporal variations and correlation between a SPI and VSWI over the different sub-regions
6.4.3.Trends analysis of a SPI and VSWI
6.4.4.Relationships and trends between the drought indices and crop yield anomaly(YAI)
6.5.Conclusions
Chapter 7.Conclusions and Recommendations
7.1 Conclusions
7.2 Recommendations
References
ACKNOWLEDGEMENTS
RESUME OF THE AUTHOR
本文编号：3868541
【文章页数】：169 页
【学位级别】：博士
【文章目录】：
ABSTRACT
摘要
Abbreviations
Chapter 1.Introduction
1.1 Background of the Study
1.2 Advances of drought analysis
1.2.1 Description of drought
1.2.2 Types of drought
1.2.3 Meteorological and agricultural drought indices
1.2.3.1 Standardized precipitation index(SPI)
1.2.3.2 Standardized precipitation evapotranspiration index(SPEI)
1.2.3.3 Standardized soil moisture index(SSI)and multivariate standardized drought index(MSDI)
1.2.4 Satellite-based drought indices for drought characterization
1.2.4.1 Normalized difference vegetation index(NDVI)
1.2.4.2 Vegetation condition index(VCI)
1.2.4.3 Enhanced vegetation index(EVI)
1.2.4.4 Vegetation health index(VHI)
1.3 Identified research gaps
1.4 General Aims and specific Objectives
1.5 Structure of the research
Chapter 2.Study area and data
2.1 The study area
2.2 Climate zones of China
2.3 Data acquisition
2.3.1 Satellite data
2.3.1.1 AVHRR/MODIS surface reflectance
2.3.1.2 AVHRR/MODIS land surface temperature/emissivity
2.3.1.3 Soil Moisture data
2.3.2 Meteorological data
2.4 Software used
Chapter 3.Drought assessment over different land cover types
3.1 Drought evolution indicated by meteorological and remote-sensing
3.2 Methodology
3.2.1 Estimation of Standardized precipitation anomaly
3.2.2 Estimation of standardized precipitation index(SPI)
3.2.3 To calculate the NDVI anomaly and VCI
3.2.4 Correlation and regression analysis
3.2.5 The modified Mann-Kendall test
3.3 Results and discussion
3.3.1 Temporal variations of different land cover types
3.3.2 The relationship between meteorological and RS-based drought indices
3.3.3 Trends and significance
3.3.1.1 Monthly and annual precipitation
3.3.1.2 Temporal variations of SPI,VCI,and the NDVI anomaly and their correlation
3.4 Spatial distribution
3.5.1 Spatial distribution of precipitation,NDVI,and VCI in dry and wet seasons
3.5.2 Precipitation,NDVI,and VCI in the driest and wettest years
3.5 Brief Summary
Chapter 4.The response of vegetation phenology and productivity to extreme climatic
4.1 Background
4.2 Data collection
4.3 Methodology
4.3.1 Computation of enhanced vegetation index(EVI)
4.3.2 Standardized anomalies
4.3.3 Computation of drought indices
4.3.3.1 Standardized precipitation-evapotranspiration index(SPEI)
4.3.3.2 Aridity index(AI)
4.3.4 Extraction of phenological metrics
4.3.5 Statistics analysis
4.4 Results and discussion
4.4.1 Variation characteristics of the climatic variables
4.4.2 Impact of climatic variability on vegetation phenology and productivity
4.4.3 Effects of extreme drought and wet years on vegetation phenology and productivity
4.4.4 The sensitivity of climatic and ecosystem variations in China
4.5 Brief conclusion
Chapter 5.Investigate the drought indices performances for prediction of agriculture drought
5.1 Background
5.2 Data
5.3 Methodology
5.4 Results and discussion
5.4.1 Temporal variations of precipitation,relative soil moisture,and vegetation health index(VHI)
5.4.2 Spatial distribution of precipitation,relative soil moisture,and VHI
5.4.3.Drought identification
5.4.4.The Correlation analysis among the drought indices
5.4.5.The2011drought
5.4.6 Trends and significance
5.5 Brief conclusion
Chapter 6.Monitoring the agricultural drought dynamics effect on crop production
6.1 Background
6.2 Data
6.3 Methodology
6.3.1 Computation of agricultural standardized precipitation index(a SPI)
6.3.2 Computation of Vegetation Supply Water Index(VSWI)
6.3.3 Computation of crop yield anomaly
6.4 Results and discussion
6.4.1 Drought frequency
6.4.2 Temporal variations and correlation between a SPI and VSWI over the different sub-regions
6.4.3.Trends analysis of a SPI and VSWI
6.4.4.Relationships and trends between the drought indices and crop yield anomaly(YAI)
6.5.Conclusions
Chapter 7.Conclusions and Recommendations
7.1 Conclusions
7.2 Recommendations
References
ACKNOWLEDGEMENTS
RESUME OF THE AUTHOR
本文编号：3868541
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