3 datasets found
  1. Urban Heat Island (Average Summer Nighttime Minimum)

    • sdgs-uneplive.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 11, 2015
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    UN Environment, Early Warning &Data Analytics (2015). Urban Heat Island (Average Summer Nighttime Minimum) [Dataset]. https://sdgs-uneplive.opendata.arcgis.com/datasets/urban-heat-island-average-summer-nighttime-minimum
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    Dataset updated
    Nov 11, 2015
    Dataset provided by
    United Nations Environment Programmehttp://www.unep.org/
    Authors
    UN Environment, Early Warning &Data Analytics
    Area covered
    Description

    This map derives from the Global Urban Heat Island (UHI) Data Set, 2013. This estimates the average summer night minimum land surface temperature within urban areas in degrees Celsius, as well as the difference between those temperatures and the temperatures in surrounding rural areas, defined as a 10km buffer around the urban extent. The Global Urban Heat Island (UHI) Data Set, 2013, part of the Satellite-Derived Environmental Indicators collection, estimates the average land surface temperature within urban areas in degrees Celsius (summer daytime maximum and nighttime minimum), as well as the difference between those temperatures and the temperatures in surrounding rural areas, defined as a 10km buffer around the urban extent. Urban extents are taken from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1), and land surface temperatures are taken from SEDAC's Global Summer Land Surface Temperature (LST) Grids, 2013, which are derived from the Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime LST 8-day composite data (MYD11A2).

    Source: CIESIN,Columbia University. 2016

  2. n

    NSW Urban Heat Island to Modified Mesh Block 2016

    • datasets.seed.nsw.gov.au
    Updated Apr 30, 2016
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    (2016). NSW Urban Heat Island to Modified Mesh Block 2016 [Dataset]. https://datasets.seed.nsw.gov.au/dataset/nsw-urban-heat-island-to-modified-mesh-block-2016
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    Dataset updated
    Apr 30, 2016
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New South Wales
    Description

    The Urban Heat Island (UHI) dataset measures the effects of urbanisation on land surface temperatures across Sydney Greater Metropolitan Area for the Summer of 2015-2016. UHI shows the variation of temperature to a non-urban vegetated reference, such as heavily wooded areas or national parks around Sydney. Derived from the analysis of thermal and infrared data from Landsat satellite, the dataset has been combined with the Australian Bureau of Statistics (ABS) Mesh Block polygon dataset to provide a mean UHI temperature that enables multi-scale spatial analysis of the relationship of heat to green cover. Data and Resources

  3. S

    Background Study data for Edible Urbanism: restructuring urban green voids.

    • scidb.cn
    Updated Oct 14, 2021
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    Joseph Rahul Pallipamula (2021). Background Study data for Edible Urbanism: restructuring urban green voids. [Dataset]. http://doi.org/10.11922/sciencedb.01206
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 14, 2021
    Dataset provided by
    Science Data Bank
    Authors
    Joseph Rahul Pallipamula
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The urban growth of cities is insatiable. It grows over the farm that once nourished it, over the streams that quench its thirst, and even over the forest that treated it as its own. Now to sustain the ever-growing appetite, it has to set up elaborate systems, funded extensively, to source resources from outlying lands. Cities barely incorporate ecosystem services in their intransigent land-use plans. This negligence increases socio-economic exclusion, food insecurity and burdens existing ecosystems. The study will be based on Noida, in India, which was an expanse of agrarian land that has transmuted into a landscape of fragmented green voids with issues like water crisis, pollution, shrinking productive and regulatory landscapes. These Urban voids have been termed as recreation spaces in the land use plans of Noida but have been rendered barren as no specific purpose has been assigned to them. The study explores the dynamic relationship between society and the agrarian landscape, i.e How the society influences the agrarian regime, concurrently, the agrarian landscape shapes the society. Secondly, analyse the production of ecosystem services, patterns in land-use change, and variation in climate and environment. Ultimately, explore the possibilities of a novel model for the fragmented voids.The data in the following data sets were retrieved through Landsat images, Gis and primary survey. Land Use land coverIn statistical terms, the percentage of Built-Up in Noida area was 29.52% during 2010 which was increased to 55.03% in 2016. It is also showing some positive land use analysis in which the wastelands are getting reduced and are getting replaced by vegetative areas which is showing an increasing trend over the years. With the increase in urbanization, the urban vegetation is also increasing with a decrease in the Open Land. It can also be seen through the graph that the built up has increased rapidly during 2016. The built-up area was found to be 63.17 sqkm during the year 2010 which further expanded to 90 sqkm in 2016. Simultaneously, the cultivated lands were found to be 94.76 sqkm in 2010 which had shrunk to 52.29 sqkm in 2016. There is a minor change in the area of the water body also with the area declining from 3.64 sqkm in 2010 to 2.06 sqkm in 2016.Impervious surfacesThe fast growth in population and expansion of urban built areas has led to the transformation of the natural landscape into impervious surfaces. Remote sensing-based estimate of impervious surface area (ISA) has emerged as an important indicator for the assessment of water resources depletion in urban areas and developed a correlation between land-use change and their potential impact on urban hydrology. The results observed by analysis of multi-temporal satellite images show an extreme temporal change in the growth of ISA in the city. The ISA observed for the year 2001 is 28 sq. km; in 2007, its increase was 48 sq. km and was 132 in 2014Agriculture coverStatistics show that the percentage of agricultural land has been drastically reduced, displacing farmers to the banks of Yamuna and Hindon. Such change in the land-use use pattern has also forced the population to change their occupation to adapt to the developing cityscape. The dense weave in the urban fabric has also forced green spaces inter-woven to shrink considerably. As we look into the master planning of Noida we understand how green areas and agricultural areas are being drastically reduced in order to bring in new development. The new master plan of 2031 showcases that only a fragment of floodplains is left as green areas. In reality, even these flood plains are encroached by sand mafias and temporary furniture markets. The green spaces have also fragmented and hence the biodiversity is reducing in Noida. All the canals are disconnected and have been converted into dumping areas. For example, the Shadra canal is disconnected from its green areas and has become a nuisance to the neighbourhood.Green cover The dense weave in the urban fabric has also forced green spaces inter-woven to shrink considerably. As we look into the master planning of Noida we understand how green areas and agricultural areas are being drastically reduced in order to bring in new development. The green spaces have also fragmented throughout the decade and hence the biodiversity is reducing in Noida. The method of setting up manicured green spaces doesn’t promote a sustainable ecosystem. All the interwoven green areas (recreation land use) when seen in the primary survey it was observed that all them have been encroached by various buildings, some are also left barren and abandoned. Some green areas have been converted into parks but these parks soon got barren as one single activity in such large green areas was not able to cater to it. Hydrological coverThere has been a stark reduction in the waterbodies of Noida. The maps show the disconnection and loss of water bodies in Noida in the past 2 decades.NORMALIZED DIFFERENCE VEGETATION INDEX According to the results achieved through this exercise, it can be seen that the overall vegetation of Noida has reduced distinctively. In terms of area under vegetation. From 430.53 Ha in 2000, forest reduced to 337.41 Ha. In 2016. While grassland reduced from 10211.8 Ha. to 8377.56 Ha. From the above images, it can be seen that the city doesn't have a definite pattern of growth overall but have spread across in every direction. It can be seen that though the change in the forest remains negligible in terms of percentage (though, a reduction of 430.53 Ha. to 337.4 Ha), the grassland has reduced by dramatically by 10%. In 2000, the area which came under grassland was 10211.8 Ha and in 2016, it reduced to 8377.56 Ha. BUILT DENSITY According to the map above it can be seen that density is increasing in the new coming development areas along the expressway, putting more pressure on resources and creating a higher urban heat island effect. Along the expressway, agricultural lands are being sold to developers and more high rise high-density housing are coming.

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UN Environment, Early Warning &Data Analytics (2015). Urban Heat Island (Average Summer Nighttime Minimum) [Dataset]. https://sdgs-uneplive.opendata.arcgis.com/datasets/urban-heat-island-average-summer-nighttime-minimum
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Urban Heat Island (Average Summer Nighttime Minimum)

Explore at:
Dataset updated
Nov 11, 2015
Dataset provided by
United Nations Environment Programmehttp://www.unep.org/
Authors
UN Environment, Early Warning &Data Analytics
Area covered
Description

This map derives from the Global Urban Heat Island (UHI) Data Set, 2013. This estimates the average summer night minimum land surface temperature within urban areas in degrees Celsius, as well as the difference between those temperatures and the temperatures in surrounding rural areas, defined as a 10km buffer around the urban extent. The Global Urban Heat Island (UHI) Data Set, 2013, part of the Satellite-Derived Environmental Indicators collection, estimates the average land surface temperature within urban areas in degrees Celsius (summer daytime maximum and nighttime minimum), as well as the difference between those temperatures and the temperatures in surrounding rural areas, defined as a 10km buffer around the urban extent. Urban extents are taken from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1), and land surface temperatures are taken from SEDAC's Global Summer Land Surface Temperature (LST) Grids, 2013, which are derived from the Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime LST 8-day composite data (MYD11A2).

Source: CIESIN,Columbia University. 2016

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