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Environment
Dataset
This dataset contains plant species and their occurence within the City of Melbourne area before 1835. It is based on the "Pre-colonial plant list for the City of Melbourne" produced by S.J. Sinclair, G. Sutter and M. Duncan of the Arthur Rylah Institute. For documented methods please refer to the report (attached).


We acknowledge and respect Victorian Traditional Owners as the original custodians of Victoria's land and waters, their unique ability to care for Country and deep spiritual connection to it. In particular, we acknowledge the Traditional Owners of the land to which this work relates, the Wurundjeri Woi Wurrung and Bunurong Boon Wurrung peoples of the Eastern Kulin. We honour Elders past and present whose knowledge and wisdom has ensured the continuation of culture and traditional practice.


We are committed to genuinely partner, and meaningfully engage, with Victoria's Traditional Owners and Aboriginal communities to support the protection of Country, the maintenance of spiritual and cultural practices and their broader aspirations in the 21st century and beyond.


Threat status was attributed according to the Flora and Fauna Guarantee (FFG) Act Threatened List and; Environment Protection and Biodiversity Conservation (EPBC) Act 1999 list as at May 2022.

Tags aboriginal environment nature plants species
API Docs
Created
June 22 2022
Views
51

Environment
Dataset
Tree canopy within City of Melbourne mapped using 2021 high resolution multi-spectral imagery. The canopy polygons represent actual tree canopy extents on both private and public property across the city.
Tags canopy citizenreporter eventsplanner forest tree and 2 more
API Docs
Created
August 11 2021
Views
750

Environment
Dataset
This dataset contains the Greenhouse Gas Emissions (GHG) from activities taking place within the geographic boundary of the City of Melbourne Local Government Area.
The City of Melbourne uses the Global Protocol for communities (GPC) method to measure and report municipal greenhouse emissions. Emissions are reported annually through the Carbon Disclosure Project (CDP) platform, which is a requirement of Global Covenant of Mayors and C40 membership.
Emission sources are broken down across the sectors: Stationary energy, Transportation and Waste. They are categorized by their "scope" which distinguishes between emissions that physically occur within the city (scope 1), from those that occur from the use of electricity and supplied by grids potentially crossing city boundaries (scope 2), from those that occur outside the city but are driven by activities taking place within the city’s boundaries (scope 3). All GHG emissions are presented in units of metric tonnes CO2 equivalent (tCO2e).

In cases where there are limitations on data availability notation keys have been used. NO indicates that an activity or process does not occur or exist within the city. IE signifies GHG emissions for this activity are presented in another category of the inventory. NE is used when emissions occur but have not been estimated or reported due to unavailability of data.
Preparing and reporting this data helps us to understand where the city's emissions come from. It allows us to plan our emission reduction activities to take effective action to mitigate climate change.
Tags carbon energy environment ghg greenhouse gas and 1 more
API Docs
Created
July 29 2020
Views
1,585

Environment
Dataset
This dataset contains the location and location description for each microclimate sensor device installed throughout the city. Each microclimate sensor device will have several climate sensors embedded inside. Sensor devices are typically installed on a street pole and locations are selected based on relevant project criteria.
Since the beginning of the Microclimate Sensor Readings dataset in 2019, some sensor devices have been relocated. This may be for various reasons such as construction works or re-assignment to new climate projects. Any changes to sensor locations are important to consider when analysing and interpreting historical data.
The site_id column can be used to merge the data with related dataset (linked below). Site_id refers to the location of the unique sensor device which may have changed over time.
Tags climate environment air quality sensor environmental monitoring and 8 more
API Docs
Created
June 17 2020
Views
2,391

Environment
Dataset
This dataset contains environmental readings from microclimate sensors located across the city. The data is updated every hour in fifteen minute increments and can be used to determine variations in microclimate changes throughout the day. Microclimate data includes:
- Ambient air temperature
- Relative humidity
- Barometric pressure
- Particulate matter 2.5
- Particulate matter 10
- Average wind speed
The Microclimate Sensor Readings helps us to understand temperature, relative humidity, pressure, particulate matter 2.5, particulate matter 10, and average wind speed at different locations and different times of day to better inform decision-making and plan for the future.
Additional values are included in this dataset to provide an easier way to correlate the data with the official EPA Victoria data. These can be identified with the value 'epa' included in the type column. EPA Victoria report air quality readings in 1 hour and 24 hour averages. This includes; ambient air temperature readings in 1 hour average, relative humidity readings in 1 hour average, particulate matter 2.5 readings in 1 hour and 24 hour averages, and particulate matter 10 readings in 1 hour and 24 hour averages.
The site_id column can be used to merge the data with the Sensor Locations dataset which contains the sensor location. Any changes to sensor locations are important to consider when analysing and interpreting historical microclimate data.
Note this dataset may not contain a reading for every sensor for every 15 minutes as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site.
For the description of each sensor please see the sensor type document.
Related datasets:
Tags air quality cityreactivation environment environmental monitoring microclimate and 6 more
API Docs
Created
June 10 2020
Views
5,813

Environment
Dataset
This dataset contains historical readings for soil sensors within parks across the City of Melbourne. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the data. This dataset can be joined to the soil sensor locations dataset using the site id column. This dataset contains a large number of records, to download only a particular sensor's readings see our attached guide on how to filter data.
Different readings taken (based on unit column):
- %VWC: Volumetric water content is a numerical measure of soil moisture. It is simply the ratio of water volume to soil volume.
- ºC: Temperature in degrees celsius.
- µS/cm: Salinity is the measure of the concentration of dissolved (soluble) salts in water from all sources. (microseimens per centimetre)
Note this dataset may not contain a reading for every sensor for every hour as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site.
Tags soil sensor moisture salinity temperature and 1 more
API Docs
Created
April 1 2020
Views
799

Environment
Dataset
This dataset contains the locations of where soil sensors have been deployed across the city. The readings are stored in the soil sensor readings dataset. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the readings dataset. The dataset joins to the soil sensor readings dataset by matching the site_id column.
Tags soil moisture sensor iot sensors and 1 more
API Docs
Created
March 26 2020
Views
422

Environment
External Link
This dataset contains a false color aerial image mosaic of the City of Melbourne municipal area. False color images render the scene in other colors not seen by the human eye. It is used for the interpretation of natural resources.
The red tone of the aerial image is associated with live vegetation. Intense reds indicate vegetation which is growing vigorously and quite dense. This image is contains embedded georeferenced information.
Capture Information:
- Capture Date: 2nd/3rd February 2019
- Capture Pixel Size: 5cm
- Map Projection: MGA Zone 55 (MGA55)
Additional technical information:
ArborCarbon collected high resolution multispectral imagery using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition. ArborCarbon have used this multispectral image to create this seamless 20cm false-colour composite showing variation in vegetation condition.
The multispectral imagery was acquired at 8,000ft above ground level over the City of Melbourne under cloudless conditions between 09:45 and 12:45 on 2nd and 3rd February 2019.
Imagery was acquired with the ArborCam system with a ground sample distance ranging from 6 cm/pixel to 25 cm/pixel dependent on the band. Imagery was comprised of 3 broad bands in the visible region of the electromagnetic spectrum, and an additional 7 narrow-bands strategically positioned in the visible and near infra-red regions to detect subtle variations and changes in vegetation condition.
Tags canopy cover image imagery multispectral nir and 4 more
Created
November 12 2019
Views
529

Environment
External Link
This dataset contains an aerial image mosaic of the City of Melbourne municipal area. This image provies a 'top down' view of the city and is availible for download in a georeferenced format.
Capture Information
- Capture Date: 2nd/3rd February 2019
- Capture Pixel Size: 5cm
- Map Projection: MGA Zone 55 (MGA55)
Additional technical information:
ArborCarbon collected the aerial image using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition. ArborCarbon have created this seamless 5cm pixel resolution RGB mosaic co-registered to the 4-band image.
The multispectral imagery was acquired at 8,000ft above ground level over the City of Melbourne under cloudless conditions between 09:45 and 12:45 on 2nd and 3rd February 2019. Imagery was acquired with the ArborCam system with a ground sample distance (GSD) ranging from 6 cm/pixel to 25 cm/pixel dependent on the band.
Tags aerial image imagery melbourne property
Created
November 10 2019
Views
7,413

Environment
Dataset
This dataset contains spatial polygons which represent tree canopy areas across the City of Melbourne. It can be easily mapped using the geometry column.
Tree canopy polygons have been derived by ArborCarbon from high-resolution airborne multispectral imagery. ArborCarbon collected this imagery using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition.
The high-resolution airborne imagery datasets were geometrically corrected and orthorectified using the City of Melbourne’s publicly available 2018 aerial imagery and a Digital Terrain Model supplied by the City. A Digital Surface Model was generated from the acquired imagery for the full extent of the City, enabling the stratification of vegetation into a range of height categories. All vegetation >3m above the ground was classified as canopy (excluding vegetation on building rooftops).
Tags greening plant tree urban forest vegetation and 1 more
API Docs
Created
October 31 2019
Views
1,344