By RainWise Inc. Thanks to storage on the web portal there are versatile options available to analyse readings, for system verification, data forwarding and alerting up to the creation of complete Furthermore, these data can be AQUARIUS is a data management platform ideal for numerous hydrology applications, most notably flood, groundwater, water availability, and water quality.
The platform allows water resource professionals to harness the power of data integration at the push of a button and transform data to HydroMet Cloud provides secure real-time data access from almost anywhere in the world via HydrometCloud.
This includes the backend infrastructure to receive, ingest, decode, process, display, and store measurement data from nearly any remote Hydromet monitoring station Cleanroom environmental monitoring for sampling, reporting, and data retention of particle, microbial and environmental data , meeting 21 CFR Part 11 data integrity requirements.
Only Particle Measuring Systems has complete contamination monitoring solutions : Advisory Services, particle counters and microbial Fostering collaboration around open source and big data tools to enable research in ocean, atmosphere, land, and climate, " Pangeo is first and foremost a community promoting open, reproducible, and scalable science.
Leaflet is a well-known open source JavaScript library. It can be used for all sorts of things, including environmentally friendly projects like the Arctic Web Map , which allows scientists to accurately visualize and analyze the arctic region, a critical ability for climate research.
And of course, no list would be complete not that this is a complete list! The Mozilla Science Lab community is, like all of Mozilla, fiercely open, and it's committed to bringing open source principles to the scientific community. Its projects and communities enable scientists to do the sorts of research our world needs to address some of the most pervasive environmental issues.
This Earth Day, make a six-month commitment to contribute some of your time to an open source project that helps fight climate change or otherwise encourages people to step up for Mother Earth. There must be scores of environmentally minded open source projects out there, so please leave your favorites in the comments! Celebrate Earth Day by contributing to these projects dedicated to improving our environment. Image by :. Have a real time clock RTC — the Arduino internal clock counts milliseconds since the micro-controller was turned on, we need to record the actual time of measurement.
Be able to receive data from a device or more than one device and save it as a Drupal node content item. Be able to generate code for the Arduino to assist others in using this software to post data. This project should be useful to a wide range of biodiversity scientists, some possible study scenarios are.
It is hoped that the publication of this device will encourage biodiversity scientists to collaborate outside of their discipline, whether it be with citizen engineers or professional academics. A work by Baker, Bennett and Chesmore University of York in in prep expands the concept of using electronic devices from monitoring environments to automated species identification using the acoustics of orthoptera. Where reliable identification of species can be performed by machines, the potential for collecting high quality, high precision and long-term datasets on species abundance alongside environmental variables becomes a possibility.
This project uses standard components which can be sourced from specialist electronics suppliers e. A number of online shops serve the needs of the hacker and maker communities including Adafruit in the US and Cool Compnents in the UK. Generic online retailers such as eBay and Amazon will also have listings for most, if not all, of the materials required.
The data logging device uses the Arduino Mega board Fig. The code and libraries required for this project exceed the Arduino Uno's capacity, but an Arduino Uno may be used if some functionality e. The Arduino platform is favoured over the Raspberry Pi in this instance due to its lower power consumption allowing the device to run longer on battery power the Raspberry Pi is a low-power Linux computer and has capabilities well beyond what is needed for this project.
An Arduino Mega board. The board can be powered and programmed using the USB connector top left or powered as a standalone device using the circular power connector bottom left. Several expansion boards are available for the Arduino, which have pins allowing them to attach to the black connectors on the main Arduino board. These expansion boards are known as 'shields' and two different ones have been used in this project. The first, the Arduino Ethernet Shield Fig.
Both of these shields expose the full set of Arduino headers — allowing the shields to be stacked on each other for additional functionality.
Standard software libraries for the Arduino are available to provide easy access in code to this hardware. The second shield used is one of the available ' prototyping shields ' — an electronics breadboard that allows for the prototyping of different circuitry without having to make permanent soldered connections Fig. While for a production product a custom printed circuit board PCB would be much better than a temporary prototype shield it is used here, as one of the hopes of this paper is that readers will take the work presented and once familiar with the principles modify or extend it to meet the requirements of their projects.
The Ethernet socket left and micro-SD socket right are indicated. The Arduino Mega bottom , Ethernet shield middle and prototyping shield top stacked as the core of the data logger. Some of the other components of the device are being assembled using the solder-less breadboard on the prototyping shield.
By stacking first the Ethernet shield and then the prototyping shield on top of the Arduino Mega the central core of the data logger is formed. What we have is a small, low power and low cost Internet-connected computational device. Systems using these components are often used for 'Internet of Things' projects McEwen and Cassimally The temperature and humidity measurements are made using a DHT22 digital sensor a digital output sensor sold packaged in plastic housing as AM ; Fig.
These sensors communicate with the Arduino using a DHT22 library this abstracts the details of communicating directly with the sensor. With the sensor facing you the pins are numbered left to right from 1 to 4. Pin 1 should be connected to the 5 V supply from the Arduino, pin 2 from the sensor should be attached to digital not analogue pin 2 on the Arduino — this is the line of communication between the devices.
Finally pin 4 should be attached to the Arduino ground GND — pin 3 is not used. DHT22 digital temperature and humidity sensor in AM package. Male-Female connecting wires make it easy to attach sensors to the Arduino board while prototyping.
You may prefer to invest in some basic tools for handling DIL packages Fig. In addition to the DS chip we also need a These Lithium cells are widely known as "coin" or "watch" cells. The cell provides a power source for the DS and crystal circuit when the Arduino power is removed when the device is turned off. The DS has very low power requirements and a CR cell should last for several years. On the left is an extraction tool which helps to remove DIL packaged chips from a breadboard, on the right is a tool to assist in straightening any bent pins on the package.
Clip for a Lithium coin cell: empty left and with cell inserted right. The clip has pins for insertion into a breadboard or PCB on the reverse. There is a standard pin numbering system for DIL packages: with the chip pins down and the notch to the left, the bottom left pin is number 1.
Pins are numbered anti-clockwise from pin 1, so that on the DS the pin at top left is numbered 8. The The positive connection to the Lithium cell is made to pin 3 the negative is connected to the Arduino's ground GND connector. Pin 4 is connected to the Arduino ground GND. It should be noted that these connectors are on the Arduino board and are not part of the headers made available via the Ethernet and prototyping shields.
SCL stands for 'serial clock' and is used to control when data is sent, the data is sent over the SDA line 'serial data'. Pin 7 of the DS provides a square-wave output that is not used here.
Pin 8 should be attached to the Arduino's 5 V. A schematic and photograph of a real circuit are shown in Fig. In order to set the clock we use the SetTime example sketch that comes with the library a sketch in Arduino is the source code for the software uploaded to and run on the device.
When this sketch is uploaded to the Arduino, it uses the time on the computer programming the Arduino to set the internal clock of the DS While such projects provide their own benefits, the data and software developed by these projects are often reused beyond the original plans, reflecting the real potential of Open Source GIS and its value. The contributions of this collection are divided into two main categories.
In the first, seven concrete studies on open-source tools and technologies for urban and environmental studies are briefly presented, each of which has been implemented for and applied to a certain use case, and at the same time may be applied to other use cases due to the reproducibility nature of open source software. The second category presents and discusses the usability of open-source geospatial solutions for Earth Remote Sensing applications.
Three-dimensional GIS datasets are being increasingly used as input in different applications [ 5 ]. However, the validity of 3D primitives in 3D GIS datasets is often a prerequisite for using them in simulation and decision-making software. In order to address this concern, Ledoux has developed val3dity , an open-source software to validate 3D primitives according to the international definitions of ISO [ 8 ].
Practitioners can use it directly, without limitations: its code is freely available under the GPLv3 license, both binaries and a web-application are publicly available. It takes as input several formats including the international standard CityGML , and outputs a report that helps users identify and understand the errors.
The next open-source implementation of this thematic collection is VI-Suite : a set of environmental analysis tools with geospatial data applications. VI-Suite combines the functionality of 3D design software with performance simulation. In their paper, Southall and Biljecki present the history of VI-Suite development along with a review of its capabilities of relevance to geospatial analysis [ 9 ].
Furthermore, some of the benefits of this tool are discussed including aspects that make it suitable for the processing and analysis of potentially large geospatial datasets. As an example use case, a 3D city model of The Hague is used to demonstrate some of the geospatial workflows possible and some of its visualisation functionalities.
Within this paper, the authors illustrate the software suite and explain the related technical implementations and the underlying conceptual software design in detail. Moreover, the utilization of 3DCityDB in different projects and practical application fields are also presented.
Last but not the least, Agugiaro et al. According to the authors the Energy ADE is meant to offer a unique and standard-based data model to allow for both detailed single-building energy simulation based on sophisticated models for building physics and occupant behaviour and city-wide, bottom-up energy assessments, with particular focus on the buildings sector.
Their article presents the rationale behind the Energy ADE and describes its main characteristics, the relation to other standards, as well as provides some examples of current applications and case studies [ 11 ].
Open-source geospatial solutions have been effectively employed in various geospatial use cases which involve studies of the urban environment. A brief overview of the studies is presented below. GeoJModelBuilder is an open-source geo-processing workflow tool which allows distributed geo-processing algorithms, models, data, and sensors to be chained together to support geospatial data analysis for environmental monitoring, as a use case example [ 12 ].
In their article, Zhang et al. Their developed framework leverages open standards, Sensor Web, geoprocessing commands and services, OpenMI-compliant models together [ 12 ]. The paper justifies the ability of the proposed workflow tool with discussing three environmental use cases. In another urban study, Molloy and Moeckel present an iterative algorithm to design optimally sized spatial zones suitable for spatial modelling, while respecting municipal boundaries [ 13 ].
The authors argue that the appropriate resolution of a zone system is key to the development of any transport model as well as other spatial analyses, since the number and shape of zones directly impacts the effectiveness of any further modelling steps, with the trade-off between computation time and model accuracy being a particularly important consideration.
Their article as well as their source code are openly accessible for detailed investigation and usage in projects [ 13 ]. Crowdsourcing geographic information and participatory GIS have been among the most intensively studied topics in geospatial research and industry over the past two decades. Various projects have implemented participatory-sensing concepts within their workflow in order to benefit from the power of volunteers, and improve their product quality and efficiency [ 14 , 15 ].
The datasets generated or collected by volunteer citizens are referred to as Volunteered Geographic Information VGI , which has been one of the most interesting and challenging type of open geospatial data in the past years.
The next study in this thematic collection employs OpenStreetMap data; the most popular form of VGI data source for producing up-to-date litter maps [ 16 ].
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