Research On Application Of Remote Sensing Technology In Urban Green Space Planning

Urban green space comprises a critical part of urban land use. A scientific and rationalurban green space planning is to react a full use of greenery’s ecological services, and as animportant strategy to build up a sustainable urban ecology environment. To strengthen theresearch of new technology and its application is definitely a trend in urban green spaceplanning. In this dissertation, research on mechanism and application of remote sensingtechnology in urban space planning was conducted, for the goal of planning and managementpromotion. As a proposal, our research mainly based on urban green space conservationmonitoring and urban heat island eliminating-oriented planning. Our works, researchmethods, and applications are listed below:（1） Urban vegetation stress monitoringUrban vegetation conservation should be one of basic tasks of urban greenery construction,such as vegetation growing condition monitoring, leaf falling-off and withering check-out. Tostart the urban vegetation stress research plays an important part of increasing urban forestrymanagement and its ecological services. In this thesis we used hyperspectral images in theeastern Guangzhou City, China, which is captured by the EO-1satellite-borne Hyperionsensor. With the atmospheric correction preprocessing, according to plant spectra responsetheory, we wanted to conduct the vegetation stress identification, through these two methods:on one hand we selecting the appropriate vegetation indices for image classification viaENVI-Forest Health tool; on the other hand we through “Spectral Mixture Analyst” toobtain vegetation abundance, and combined with purest pixel indentifying to extractvegetation stress. Comparing these experimental results, it shows that in the feature extractionof vegetation, the vegetation abundance analysis methods has a higher precision than thevegetation index method, and a better characterization of vegetation stress, for the regard thatnon vegetation feature spectral is excluded. In respect of validation, we extract the spectrumshape of vegetation endmembers in Wanmu orchard for comparison; and by usingspectroradiometer ASD, we through on-site spectrum measurement of vegetation canopy indifferent health status. The result supports that the image spectra and field measurement havecertain similarity. The result shows that spectrum reflectance in near-infrared section (680-1300nm), is comparable with the “red-edge slop” change, which is the symbol ofvegetation under-stress. In the previous days, indicating by the image, we had on-site survey,queried those high spatial resolution images in near-by days, and reviewed materials about theurban construction yearbook via internet, then the cause of vegetation stress’s urban spatialphenomenon had came to a conclusion. We concluded and also hope that our study onmonitoring methods can be applied on preservative-oriented land use, andconservative-oriented urban forestry management, by qualitatively and quantitativelyresearch.（2） Urban surface temperature retrievalUrban heat island pattern remote sensing monitoring should be one of basic tasks ofurban green space planning, and urban greening’s task is to migrate heat island effect. Withrespect of a urban-scale circumstance, we investigated the thermal infrared remote sensingwhich is of higher resolution image, in this thesis we used ASTER data from EOS/TERRAsatellite, adopted the “Split-window Algorithm” developed by domestic researcher, MaoKe-biao, to retrieve land surface temperature. With the processes: radiationcalibration—atmospheric correction—geometric correction, and then conformed to itsretrieving design, we explicated the parameters acquisition in detail that conducting thealgorithm for retrieving: calculating the bright temperature by Plunk’s law, assigning surfaceemissivity based on NDVI value’s classification, and acquiring the real time atmospheretransparence via MOTRAN radiation-transmission online calculation. The retrieving resultshows value distributing frequency located between296.7~304.1K, which was comparablewith the exact date. After comparing to the surface characteristic in high spatial resolutionimage, the result demonstrated this algorithm applied at ASTER data for land surfacetemperature retrieval can providing plentiful information of land surface temperature, by suchurban heat island monitoring can provide significant instruction for urban construction andmanagement.（3） An orientation for heat island migrating urban green space system planningBy explaining the mechanism of ground surface’ heating up by solar radiation andvegetation cooling effect, we used vegetation abundance acquired from Hyperion datacoupled with land surface temperature from ASTER data, the result demonstrated a apparent negative correlation between vegetation abundance and land surface temperature, whichquantitatively shows the cooling effect depends on the thickness of vegetation. Based onUrban Green space Comprehensive Planning in Guangzhou,2001-2020, this dissertationintroduces vegetation stress and urban heat island monitoring methods, combine with ecology,geography, and landscape planning for multiple disciplinary research, elaborated that thisresearch can offer instructive suggestion for urban greenery design and planning. Under theguidance of green space planning practice, with the support of GIS cartographic techniqueand analysis, we presented our research achievement in application, design the green spaceallocation scientifically and rationally, for the goal of favorable urban ecology andenvironment construction.