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Paddy20Rice20Mapping20Based20on20Phenological20and20Temporal

发布时间:2021-05-09 03:53
  稻作农业对诸如温室气体排放、粮食安全、水资源利用和疾病传播等问题有重要影响。尽管水稻分布制图方法和应用不断改进和深化,但现有的大区域水稻识别通常精度较低且数据稀缺。本论文旨在推进遥感卫星数据在水稻分布制图方面的应用,论文通过建立适合海量数据分析的有效方法,并在典型水稻种植地区进行精度验证,主要包括以下几个方面:(1)采用面向对象的影像分析方法(OBIA)研究了物候对水稻分布制图的影响。利用高分辨率多光谱遥感数据结合作物物候信息,对水稻进行了精细分类。利用遥感提取的农作物物候的差异捕捉不同作物生长过程的动态特征,并利用高空间分辨率的多光谱数据探测不同地区农作物的空间变异模式。论文利用MODIS20NDVI时间序列数据提取作物物候信息,而中国环境减灾小卫星星座(HJ-1A/B)数据则主要用于水稻种植区的提取。论文的对比研究结果表明,将多光谱数据与作物物候信息结合能够显著提高水稻的分类精度。(2)论文探索比较了从中低分辨率遥感数据中提取的33种反映作物生长过程的物候参数对基于高分辨率遥感数据开展水稻分类识别精度的提升效果。研究结果表明,运用优选的反映作物生长过程的物候特征参数显著地提高了由单... 

【文章来源】:中国科学院大学(中国科学院遥感与数字地球研究所)北京市

【文章页数】:122 页

【学位级别】:博士

【文章目录】:
摘要
Thesis Abstract
Chapter 1. Introduction
    1.1. General Introduction
    1.2. Global Spatial Distribution of Paddy Rice Growing Areas
    1.3. Paddy Rice Phenology and Ecosystems
    1.4. Remote Sensing and Earth Observation Satellites
    1.5. Reflectance Characteristics of Paddy Rice Plants in Optical Remote Sensing Data
    1.6. Remote Sensing for Paddy Rice Agriculture
    1.7. Existing Paddy Rice Maps at National or Larger Scales
    1.8. Existing Paddy Rice Mapping Algorithms
    1.9. Thesis Objectives
Chapter 2. Paddy Rice Classification Using Multi-Source Spectral Data and Crop Phenology
    Abstract
    2.1. Introduction
    2.2. Study Area
    2.3. Datasets and Preprocessing
    2.4. Methods
    2.5. Results
    2.6. Discussion
    2.7. Conclusions and Future Works
Chapter 3. Evaluation of Temporal Features Extracted from Coarse Resolution Data for FineResolution mapping of Paddy Rice
    Abstract
    3.1. Introduction
    3.2. Study Area
    3.3. Dataset and Preprocessing
    3.4. Methods
    3.5. Results
    3.6. Discussion
    3.7. Conclusions and Future Works
Chapter 4. Incorporating Crop Phenological Trajectory and Texture for Paddy Rice Detectionwith Time Series MODIS, HJ-1A and ALOS PALSAR Images
    Abstract
    4.1. Introduction
    4.2. Study Site
    4.3. Dataset and Preprocessing
    4.4. Methodologies
    4.5. Results
    4.6. Discussion
    4.7. Conclusions
Chapter 5. Mapping Paddy Rice Based On Vegetation Phenology and Surface MoistureConditions
    Abstract
    5.1. Introduction
    5.2. Dataset and Study Area
    5.3. Methods
    5.4. Results and Discussion
    5.5. Conclusions
Chapter 6. Contribution and Outlook
    Contribution and Outlook
    Possible Future Studies
References
Acknowledgements
Publications related to this study
Annex I


【参考文献】:
期刊论文
[1]鄱阳湖区2004-2010年水稻种植制度时空变化(英文)[J]. 李鹏,封志明,姜鲁光,刘煜杰,肖向明.  Journal of Geographical Sciences. 2012(04)
[2]Mapping20paddy20rice20with20multi-date20moderate-resolution20imaging20spectroradiometer20(MODIS)20data20in20China[J]. Alfredo R.HUETE.  Journal of Zhejiang University(Science A:An International Applied Physics & Engineering Journal). 2009(10)
[3]Canopy20Spectral20Reflectance20Characteristics20of20Rice20with20Different20Cultural20Practices20and20Their20Fuzzy20Cluster20Analysis[J]. XUE Li-hong , CAO Wei-xing , Luo Wei-hong , YANG Lin-zhang (Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China).  Rice Science. 2005(01)
[4]GVG农情采样系统及其应用[J]. 吴炳方,田亦陈,李强子.  遥感学报. 2004(06)



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