簡易檢索 / 詳目顯示

研究生: 伊莎阿蒂卡
Izzaty, Atika
論文名稱: 長期土地和氣候變遷偵測之時空數據分析
Spatiotemporal Data Analysis for Land and Local Climate Change Detection
指導教授: 朱宏杰
Chu, Hone-Jay
學位類別: 碩士
Master
系所名稱: 工學院 - 自然災害減災及管理國際碩士學位學程
International Master Program on Natural Hazards Mitigation and Management
論文出版年: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 113
外文關鍵詞: Local Climate Change, Change Detection, NDVI, Urban Expansion, Air Temperature, CCDC, Deforestation
相關次數: 點閱:33下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • Natural phenomena occur frequently on Earth, both in perceptible and imperceptible forms. Monitoring and understanding environmental conditions in response to frequent changes is essential. This research aims to analyze evidence of environmental changes during the summer season, focusing on land change, air temperature, and vegetation decline from the slope as for detecting the changes. Remote sensing technology, utilizing multispectral sensors on Landsat satellite imagery, has enabled the detection of various natural changes through long-term observations from 2000 to 2023. Over the years, the trend in air temperature has shown a significant increase, indicating notable changes in the Taipei-Keelung Metropolitan Area.
    The trend is associated with urban expansion, revealing that pixels showing an increase in temperature correspond to areas experiencing vegetation loss due to land-use changes, transitioning from vegetated areas to built-up areas in New Taipei City. Temperature classification was conducted to identify urban heat islands with the Gaussian Mixture Model (GMM) indicating a temperature rise in Keelung City. Changes in local climate conditions and human activities led to cases of land degradation and deforestation in the Amazon rainforest in Brazil. In 2016, significant land degradation resulted in a drastic decrease in vegetation values. This change was detected using the Continuous Change Detection and Classification (CCDC) approach, identifying abrupt changes where vegetation values dropped from 0.89 to 0.10 which showing a significant decline in 2016. Extraterrestrial environmental monitoring facilitates a better understanding of surface and atmospheric conditions, enables precise mapping of built-up areas, and aids in the identification of local climate zones.

    CERTIFICATE OF APPROVAL FOR MASTER'S THESIS ii ABSTRACT iii ACKNOWLEDGEMENT v TABLE OF CONTENTS vi LIST OF TABLES viii LIST OF FIGURES ix CHAPTER 1. INTRODUCTION 1 1.1 Background 1 1.2 Research Motivation 6 CHAPTER 2. LITERATURE REVIEW 8 2.1 Land and Climate Change 8 2.1.1 Urban Heat Island (UHI) 9 2.1.2 Urban Expansion 11 2.1.3 Deforestation 12 2.2 Remote Sensing Technology for Temperature and Urban Expansion 14 2.2.1 Landsat-5 TM Level 2 15 2.2.2 Landsat-7 ETM+ Level 2 16 2.2.3 Landsat-8 OLI/TIRS Level 2 18 2.4 Statistical Analysis 27 2.4.1 Linear Regression 28 2.4.2 Unitary Linearity Regression 29 2.4.3 Gaussian Mixture Model (GMM) 30 CHAPTER 3. METHODOLOGY 33 3.1 Study Area 33 3.2 Data Collection 37 3.3 Workflow 38 3.3.1 Collecting Image Data 41 3.3.2 Cloud Masking 42 3.3.3 Filtering Summer Seasonal Data 43 3.3.4 Normalized Difference Vegetation Index (NDVI) 45 3.3.5 Continuous Change Detection and Classification (CCDC) Approach 46 3.3.6 Long-term Trend Analysis using a Slope Approach 47 3.3.7 Distribution Map of LST 2014-2023 48 3.3.8 Local Climate Zones (LCZs) for Validation 51 CHAPTER 4. RESULT AND DISCUSSION 53 4.1 Vegetation Index Change to Urban Sprawl in Annual Condition 53 4.2 Seasonal Condition of NDVI and Urban Sprawl Area 62 4.3 Air Temperature Trend Analysis 67 4.3.1 Clustering of Air Temperature for UHI Detection 73 4.3.2 Clustering of LST for UHI Detection using Himawari-8 Satellite Imagery 77 4.4 Deforestation in Rainforest Amazon 78 CHAPTER 5. CONCLUSION 87 5.1 Conclusion 87 5.2 Future Work 88 APPENDIX A 90 REFERENCES 92

    Achmad, A., et al. (2022). "Urban growth and its impact on land surface temperature in an industrial city in Aceh, Indonesia." Letters in Spatial and Resource Sciences 15(1): 39-58.
    Aguiar, A. P. D., et al. (2016). "Land use change emission scenarios: anticipating a forest transition process in the Brazilian Amazon." Global change biology 22(5): 1821-1840.
    Al-Bilbisi, H. (2019). "Spatial monitoring of urban expansion using satellite remote sensing images: A case study of Amman City, Jordan." Sustainability 11(8): 2260.
    Al-Bilbisi, H. H. (2012). "A two-decade land use and cover change detection and land degradation monitoring in Central Jordan using satellite images." Jordan Journal of Social Sciences 5(1): 133-149.
    Al-Bilbisi, H. H. (2017). "Land Use/Cover Change Detection in Arid and Semi-Arid Areas of Northeastern Jordan Using Landsat Images." Jordan Journal of Social Sciences 10(2).
    Ali, J. M., et al. (2017). "A comparison between London and Baghdad surface urban heat islands and possible engineering mitigation solutions." Sustainable cities and society 29: 159-168.
    Allen, M. R. and W. J. Ingram (2002). "Constraints on future changes in climate and the hydrologic cycle." Nature 419(6903): 224-232.
    Alphan, H., et al. (2009). "Post-classification comparison of land cover using multitemporal Landsat and ASTER imagery: the case of Kahramanmaraş, Turkey." Environmental monitoring and assessment 151: 327-336.
    Anderson, M., et al. (2008). "A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales." Remote Sensing of environment 112(12): 4227-4241.
    Angel, S. (2023). "Urban expansion: theory, evidence and practice."
    Angel, S., et al. (2011). "The dimensions of global urban expansion: Estimates and projections for all countries, 2000–2050." Progress in Planning 75(2): 53-107.
    Angelsen, A. (1999). "Agricultural expansion and deforestation: modelling the impact of population, market forces and property rights." Journal of development economics 58(1): 185-218.
    Anzalone, A., et al. (2024). "An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications." Applied Sciences 14(7): 2887.
    Arnfield, A. J. (2003). "Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island." International Journal of Climatology: A Journal of the Royal Meteorological Society 23(1): 1-26.
    Bagley, J. E., et al. (2014). "Drought and deforestation: has land cover change influenced recent precipitation extremes in the Amazon?" Journal of Climate 27(1): 345-361.
    Ban, Z., et al. (2018). "Superpixel segmentation using Gaussian mixture model." IEEE Transactions on Image Processing 27(8): 4105-4117.
    Barraclough, S. L. and K. B. Ghimire (2000). Agricultural expansion and tropical deforestation: poverty, international trade and land use, Earthscan.
    Bechtel, B. (2015). "A New Global Climatology of Annual Land Surface Temperature." Remote Sensing 7(3): 2850-2870.
    Benas, N., et al. (2017). "Trends of urban surface temperature and heat island characteristics in the Mediterranean." Theoretical and applied climatology 130: 807-816.
    Best, M. J., et al. (2004). "A proposed structure for coupling tiled surfaces with the planetary boundary layer." Journal of hydrometeorology 5(6): 1271-1278.
    Brook, B. W., et al. (2008). "Synergies among extinction drivers under global change." Trends in ecology & evolution 23(8): 453-460.
    Chakravarty, S., et al. (2012). Global perspectives on sustainable forest management, IntechOpen UK.
    Chan, C. K. and X. Yao (2008). "Air pollution in mega cities in China." Atmospheric environment 42(1): 1-42.
    Chandler, T. (1961). "The changing form of London's heat-island." Geography 46(4): 295-307.
    Change, I. (2007). "Climate change 2007: The physical science basis." Agenda 6(07): 333.
    Chiang, C. L. (2003). Statistical methods of analysis, World Scientific.
    Choudhury, D., et al. (2019). "Assessment of land use land cover changes and its impact on variations of land surface temperature in Asansol-Durgapur Development Region." The Egyptian Journal of Remote Sensing and Space Science 22(2): 203-218.
    Cohen, B. (2006). "Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability." Technology in society 28(1-2): 63-80.
    Connors, J. P., et al. (2013). "Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona." Landscape ecology 28: 271-283.
    Dai, W. and W. Dai (2019). Effects of urban expansion on environment by morphological study. IOP Conference Series: Earth and Environmental Science, IOP Publishing.
    Dangendorf, S., et al. (2019). "Persistent acceleration in global sea-level rise since the 1960s." Nature Climate Change 9(9): 705-710.
    Davis, J. C. and R. J. Sampson (1986). Statistics and data analysis in geology, Wiley New York.
    Diamond, H. J., et al. (2013). "US Climate Reference Network after one decade of operations: Status and assessment." Bulletin of the American Meteorological Society 94(4): 485-498.
    Duan, H., et al. (2022). "Seasonal Variation of Vegetation and Its Spatiotemporal Response to Climatic Factors in the Qilian Mountains, China." Sustainability 14(9): 4926.
    Eleftheriou, D., et al. (2018). "Determination of annual and seasonal daytime and nighttime trends of MODIS LST over Greece-climate change implications." Science of the Total Environment 616: 937-947.
    Estoque, R. C., et al. (2017). "Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia." Science of the Total Environment 577: 349-359.
    Fearnside, P. M. (2015). "Deforestation soars in the Amazon." Nature 521(7553): 423-423.
    Feizizadeh, B. and T. Blaschke (2012). Thermal remote sensing for land surface temperature monitoring: Maraqeh County, Iran. 2012 IEEE International Geoscience and Remote Sensing Symposium, IEEE.
    Fu, P. and Q. Weng (2016). "A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery." Remote Sensing of environment 175: 205-214.
    Fujibe, F. (2009). "Detection of urban warming in recent temperature trends in Japan." International Journal of Climatology: A Journal of the Royal Meteorological Society 29(12): 1811-1822.
    Gao, C., et al. (2012). "Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS." Journal of Applied Remote Sensing 6(1): 063606-063606.
    Hamdi, R. and G. Schayes (2008). "Sensitivity study of the urban heat island intensity to urban characteristics." International Journal of Climatology: A Journal of the Royal Meteorological Society 28(7): 973-982.
    Hansen, J., et al. (2010). "Global surface temperature change." Reviews of Geophysics 48(4).
    He, Q., et al. (2018). "The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’." Land Use Policy 78: 726-738.
    Heaviside, C., et al. (2017). "The urban heat island: implications for health in a changing environment." Current environmental health reports 4: 296-305.
    Huang, G., et al. (2011). "Is everyone hot in the city? Spatial pattern of land surface temperatures, land cover and neighborhood socioeconomic characteristics in Baltimore, MD." Journal of environmental management 92(7): 1753-1759.
    Hurtado, E. and J. Sobrino (2001). "Daily net radiation estimated from air temperature and NOAA-AVHRR data: a case study for the Iberian Peninsula." International Journal of Remote Sensing 22(8): 1521-1533.
    Indarto, J. (2016). "An overview of theoretical and empirical studies on deforestation." Journal of International Development and Cooperation.
    Jetz, W., et al. (2007). "Projected impacts of climate and land-use change on the global diversity of birds." PLoS biology 5(6): e157.
    Ji, W., et al. (2006). "Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics." Computers, Environment and Urban Systems 30(6): 861-879.
    Ji, Z., et al. (2016). "A spatially constrained generative asymmetric Gaussian mixture model for image segmentation." Journal of Visual Communication and Image Representation 40: 611-626.
    Johnson, M. P. (2001). "Environmental impacts of urban sprawl: a survey of the literature and proposed research agenda." Environment and planning A 33(4): 717-735.
    Kalma, J. D., et al. (2008). "Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data." Surveys in Geophysics 29: 421-469.
    Kennedy, R. E., et al. (2009). "Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects." Remote Sensing of environment 113(7): 1382-1396.
    Khandelwal, S., et al. (2018). "Assessment of land surface temperature variation due to change in elevation of area surrounding Jaipur, India." The Egyptian Journal of Remote Sensing and Space Science 21(1): 87-94.
    Khanna, J., et al. (2017). "Regional dry-season climate changes due to three decades of Amazonian deforestation." Nature Climate Change 7(3): 200-204.
    Kim, Y.-M., et al. (2012). "Effects of heat wave on body temperature and blood pressure in the poor and elderly." Environmental health and toxicology 27.
    Kustas, W. and M. Anderson (2009). "Advances in thermal infrared remote sensing for land surface modeling." Agricultural and Forest Meteorology 149(12): 2071-2081.
    Lau, T.-K. and T.-P. Lin (2024). "Investigating the relationship between air temperature and the intensity of urban development using on-site measurement, satellite imagery and machine learning." Sustainable cities and society 100: 104982.
    Lejeune, Q., et al. (2015). "Influence of Amazonian deforestation on the future evolution of regional surface fluxes, circulation, surface temperature and precipitation." Climate Dynamics 44: 2769-2786.
    Li, J., et al. (2011). "Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China." Remote Sensing of environment 115(12): 3249-3263.
    Li, Z.-L., et al. (2013). "Satellite-derived land surface temperature: Current status and perspectives." Remote Sensing of environment 131: 14-37.
    Li, Z. L., et al. (2023). "Satellite remote sensing of global land surface temperature: Definition, methods, products, and applications." Reviews of Geophysics 61(1): e2022RG000777.
    Liang, Z., et al. (2020). "Seasonal and diurnal variations in the relationships between urban form and the urban heat island effect." Energies 13(22): 5909.
    Lin, L.-Y., et al. (2022). "The Taiwan Climate Change Projection Information and Adaptation Knowledge Platform: A Decade of Climate Research." Water 14(3): 358.
    Lin, P., et al. (2017). "Effects of urban planning indicators on urban heat island: a case study of pocket parks in high-rise high-density environment." Landscape and urban planning 168: 48-60.
    Liu, J., et al. (2021). "Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis." Remote Sensing 13(1): 44.
    Liu, Y. and Z. Wang (2023). "Research Progress and Hotspot Analysis of Urban Heat Island Effects Based on Cite Space Analysis." Land 12(6): 1154.
    Lo, C. and D. A. Quattrochi (2003). "Land-use and land-cover change, urban heat island phenomenon, and health implications." Photogrammetric Engineering & Remote Sensing 69(9): 1053-1063.
    Lu, H., et al. (2023). "Study on urban expansion and population density changes based on the inverse S-shaped function." Sustainability 15(13): 10464.
    Ma, Y. and R. Xu (2010). "Remote sensing monitoring and driving force analysis of urban expansion in Guangzhou City, China." Habitat International 34(2): 228-235.
    Mamun, O., et al. (2020). "A Bayesian framework for adsorption energy prediction on bimetallic alloy catalysts." npj Computational Materials 6(1): 177.
    Marcotullio, P. J. and A. Sorensen (2023). "Future urban worlds: Theories, models, scenarios, and observations of urban spatial expansion." Frontiers in Built Environment 9: 1194813.
    Matzarakis, A. and B. Amelung (2008). Physiological equivalent temperature as indicator for impacts of climate change on thermal comfort of humans. Seasonal forecasts, climatic change and human health: health and climate, Springer: 161-172.
    Maurer, J. M., et al. (2019). "Acceleration of ice loss across the Himalayas over the past 40 years." Science advances 5(6): eaav7266.
    McCarthy, M. P., et al. (2010). "Climate change in cities due to global warming and urban effects." Geophysical research letters 37(9).
    Medvigy, D., et al. (2011). "Effects of deforestation on spatiotemporal distributions of precipitation in South America." Journal of Climate 24(8): 2147-2163.
    Minnett, P. J. and I. J. Barton (2010). "Remote sensing of the earth’s surface temperature." Radiometric temperature measurements. Ii applications 43: 333-391.
    Mokhtari, Z., et al. (2022). "Dynamic and Heterogeneity of Urban Heat Island: A Theoretical Framework in the Context of Urban Ecology." Land 11(8): 1155.
    Osilla, E. V., et al. (2018). "Physiology, temperature regulation."
    Ottlé, C. and D. Vidal-Madjar (1992). "Estimation of land surface temperature with NOAA9 data." Remote Sensing of environment 40(1): 27-41.
    Parastatidis, D., et al. (2017). "Online Global Land Surface Temperature Estimation from Landsat." Remote Sensing 9(12): 1208.
    Parker, D. E. (2010). "Urban heat island effects on estimates of observed climate change." Wiley Interdisciplinary Reviews: Climate Change 1(1): 123-133.
    Qiao, Z., et al. (2020). "The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China." Remote Sensing 12(5): 794.
    Qiu, C., et al. (2018). "Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets." Remote Sensing 10(10): 1572.
    Rayner, J. N. (1971). "An introduction to spectral analysis." (No Title).
    Reynolds, D. A. (2009). "Gaussian mixture models." Encyclopedia of biometrics 741(659-663).
    Root, T. L., et al. (2003). "Fingerprints of global warming on wild animals and plants." Nature 421(6918): 57-60.
    Runnalls, K. and T. Oke (2000). "Dynamics and controls of the near-surface heat island of Vancouver, British Columbia." Physical Geography 21(4): 283-304.
    Sampaio, G., et al. (2007). "Regional climate change over eastern Amazonia caused by pasture and soybean cropland expansion." Geophysical research letters 34(17).
    Sattari, F. and M. Hashim (2014). "A brief review of land surface temperature retrieval methods from thermal satellite sensors." Middle-East Journal of Scientific Research 22(5): 757-768.
    Sharma, C. S., et al. (2016). "Precipitation and temperature changes in eastern India by multiple trend detection methods." Atmospheric research 180: 211-225.
    Shi, L. and F. Ling (2021). "Local climate zone mapping using multi-source free available datasets on google earth engine platform." Land 10(5): 454.
    Siemann, A. L., et al. (2016). "Development and analysis of a long-term, global, terrestrial land surface temperature dataset based on HIRS satellite retrievals." Journal of Climate 29(10): 3589-3606.
    Singh, N., et al. (2020). Urban ecology and human health: implications of urban heat island, air pollution and climate change nexus. Urban ecology, Elsevier: 317-334.
    Singh, P., et al. (2017). "Impact of land use change and urbanization on urban heat island in Lucknow city, Central India. A remote sensing based estimate." Sustainable cities and society 32: 100-114.
    Sobrino, J. A., et al. (2008). "Land surface emissivity retrieval from different VNIR and TIR sensors." IEEE transactions on geoscience and remote sensing 46(2): 316-327.
    Sobrino, J. A. and N. Raissouni (2000). "Toward remote sensing methods for land cover dynamic monitoring: Application to Morocco." International Journal of Remote Sensing 21(2): 353-366.
    Solanky, V., et al. (2018). Land surface temperature estimation using remote sensing data. Hydrologic Modeling: Select Proceedings of ICWEES-2016, Springer.
    Solecki, W. D., et al. (2005). "Mitigation of the heat island effect in urban New Jersey." Global Environmental Change Part B: Environmental Hazards 6(1): 39-49.
    Solomon, S. (2007). Climate change 2007-the physical science basis: Working group I contribution to the fourth asessment report of the IPCC, Cambridge university press.
    Stewart, I. D. (2011). "A systematic review and scientific critique of methodology in modern urban heat island literature." International Journal of Climatology 31(2): 200-217.
    Stewart, I. D. and T. R. Oke (2012). "Local Climate Zones for Urban Temperature Studies." Bulletin of the American Meteorological Society 93(12): 1879-1900.
    Sundborg, Å. (1951). "Climatological studies in Uppsala: with special regard to the temperature conditions in the urban area." (No Title).
    Thomson, D. J. (1995). "The seasons, global temperature, and precession." Science 268(5207): 59-68.
    Tucker, C. J., et al. (2005). "An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data." International Journal of Remote Sensing 26(20): 4485-4498.
    Van Kooten, G. C. and E. H. Bulte (2000). "The economics of nature: managing biological assets."
    Voogt, J. A. and T. R. Oke (2003). "Thermal remote sensing of urban climates." Remote Sensing of environment 86(3): 370-384.
    Wang, K., et al. (2010). Localized land surface temperature retrieval from the MODIS Level-1b data using water vapor and in situ data. 2010 IEEE International Geoscience and Remote Sensing Symposium, Ieee.
    Wang, M. and Z. Gou (2024). "Gaussian Mixture Model based classification for analyzing longitudinal outdoor thermal environment data to evaluate comfort conditions in urban open spaces." Urban Climate 53: 101792.
    Weng, Q. (2009). "Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends." ISPRS Journal of photogrammetry and remote sensing 64(4): 335-344.
    Woodcock, C. E., et al. (2008). "Free access to Landsat imagery." SCIENCE VOL 320: 1011.
    Wu, C.-D., et al. (2013). "Development of a 3-D urbanization index using digital terrain models for surface urban heat island effects." ISPRS Journal of photogrammetry and remote sensing 81: 1-11.
    Xie, Q., et al. (2018). Remote sensing study of the impact of vegetation on thermal environment in different contexts. IOP Conference Series: Earth and Environmental Science, IOP Publishing.
    Xu, H.-q. and B.-q. Chen (2004). "Remote sensing of the urban heat island and its changes in Xiamen City of SE China." Journal of environmental sciences 16(2): 276-281.
    Xu, X. and X. Min (2013). "Quantifying spatiotemporal patterns of urban expansion in China using remote sensing data." Cities 35: 104-113.
    Yamamoto, Y., et al. (2022). "Uncertainty quantification in land surface temperature retrieved from Himawari-8/AHI data by operational algorithms." ISPRS Journal of photogrammetry and remote sensing 191: 171-187.
    Yamamoto, Y., et al. (2018). "An algorithm for land surface temperature retrieval using three thermal infrared bands of Himawari-8." Journal of the Meteorological Society of Japan. Ser. II.
    Yang, J., et al. (2022). "Urban development wave: Understanding physical spatial processes of urban expansion from density gradient of new urban land." Computers, Environment and Urban Systems 97: 101867.
    Yoshioka, M., et al. (2007). "Impact of Desert Dust Radiative Forcing on Sahel Precipitation: Relative Importance of Dust Compared to Sea Surface Temperature Variations, Vegetation Changes, and Greenhouse Gas Warming." Journal of Climate 20(8): 1445-1467.
    Yu, W. and W. Zhou (2017). "The spatiotemporal pattern of urban expansion in China: A comparison study of three urban megaregions." Remote Sensing 9(1): 45.
    Yuan, F. and M. E. Bauer (2007). "Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery." Remote Sensing of environment 106(3): 375-386.
    Zhang, X., et al. (2017). "An urban heat island study in Nanchang City, China based on land surface temperature and social-ecological variables." Sustainable cities and society 32: 557-568.
    Zhou, W., et al. (2014). "Relationships between land cover and the surface urban heat island: seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures." Landscape ecology 29: 153-167.
    Zhu, K.-w., et al. (2020). "Vegetation of the water-level fluctuation zone in the Three Gorges Reservoir at the initial impoundment stage." Global Ecology and Conservation 21: e00866.
    Zhu, Z. and C. E. Woodcock (2014). "Continuous change detection and classification of land cover using all available Landsat data." Remote Sensing of environment 144: 152-171.
    Zhu, Z., et al. (2015). "Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time." Remote Sensing of environment 162: 67-83.
    Zhu, Z., et al. (2012). "Continuous monitoring of forest disturbance using all available Landsat imagery." Remote Sensing of environment 122: 75-91.

    下載圖示 校內:2025-08-01公開
    校外:2025-08-01公開
    QR CODE