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Geospatial Data Articles & Analysis
22 articles found
In the field of underground infrastructure inspection, technological advancements play a crucial role in ensuring accuracy, speed, and safety of operations. In this context, RinnoVision has established itself as a key reference thanks to its manhole inspection cameras. Designed to meet the specific needs of municipalities, utility companies, and construction contractors, the RV-MAX 360 and RV-PRO ...
The irrigation sector has a key role to play in ensuring food security in the current global context, marked by a changing geopolitical situation, climate change and the scarcity of water resources. Thus, agricultural irrigation is facing new challenges that mean irrigation associations will need to digitalize their processes. Initiatives such as Spain’s PERTE (Recovery, Transformation and ...
ByIdrica
Introduction What is a LiDAR Payload? LiDAR stands for Light Detection and Ranging and has become an increasingly prevalent technology over the past decade. NASA and meteorologists have used LiDAR, now embedded within cell phones with the release of the iPhone 12 Pro. LiDAR is commonly used in surveying, mapping, and inspection applications where it can provide very detailed and accurate ...
The supply of drinking water is one of the greatest challenges currently facing a large part of the world’s regions. According to the latest data published by the UN, water losses in water distribution networks are a major concern, with Non-Revenue Water or non-billed water accounting for the supply of water to almost 200 million people. ...
ByIdrica
Let’s start with the first part of the picture, “Big Data”. For some time now, the term Big Data has been floating through the tech world, carrying an air of excitement, anticipation, and intimidation. But understanding the essence of Big Data and working out the ways to conduct descriptive statistics is still unclear to many. There is so much more to this term than just the ...
The starting point is collecting data in the field with GIS Cloud Mobile Data Collection app to map existing water resources. ...
Digitizing the process of field data collection and infrastructure data management utilizing the GIS Cloud platform, Liburnian waters achieved a multilevel collaboration with local governments, increased their data accuracy, and reduced job timeframe by eliminating paper forms. ...
In this post, Solcast dives into its historical and TMY data offering. This includes a brief review of methods plus the basics on historical time-series data, typical meteorological year data and monthly averages data.TMY and time series data for the solar powered future Building off Solcast’s announcement last week that ...
BySolcast
Having to find and track down needed information manually is inefficient and unreliable, especially when taking into consideration that all assessments and analyses are made with geospatial data (vectors and rasters). This article will show you how to create a hydrological map portal with a real-life example. ...
Despite the explosion of geospatial data collected on water points, there have been relatively few efforts to date to use these data to understand the correlates and potential causes of water point breakdowns. We add to this literature by coding open-ended responses around functionality status in the open-access WPDx (Water Point ...
The EUNIS habitat classification provides the context for a number of policy-related ecosystem and habitat assessments, and is a European reference to which other national or regional classifications can be cross‑referenced when sharing geospatial data. Since 1995, it has been developed and managed by the European Topic Centre on Biological Diversity ...
Now an international group of hydrologists led by Tom Gleeson, engineering professor at the University of Victoria, with fellow researchers from the University of Texas at Austin, the University of Calgary and the University of Göttingen, say they’ve produced the first data-driven estimate of Earth’s total supply of groundwater — with a focus on ...
ByEnsia
Nuanced Picture Our study synthesized data from ocean models, river and estuary databases, shellfishery harvest records, and social information, such as the diversity of job opportunities and the proximity of marine research centers. Compiling this data in geospatial mapping software allowed us to make regional comparisons between areas that ...
ByEnsia
NextGen GIS (also referred to as GEMS 2) replaced the legacy Geospatial Environmental Mapping System (GEMS) and its associated databases. ...
This information includes community‐level effects data, environmental fate and exposure data, monitoring data, geospatial location and proximity data, species biology data, and probabilistic exposure and population models. ...
Improved methods for characterization of reactive components in situ will enhance the applicability of assemblage models. Collection of compositional data for soil and water archetypes, or the development of relationships to estimate compositions from geospatially‐available data, will further facilitate assemblage model use for predictive ...
This paper introduces Japan's institutional efforts on city–level information systems and geospatial databases in various historical phases in the context of urban planning and e–government. The study of urban planning information systems and geospatial data building has been led by the national government from the beginning since ...
There is therefore a need to improve the quality of the data used to measure the health of our coastal environment. One of the most important improvements is the creation of geospatial data. ...
They found that the conventional 'top-down' method of establishing emergency centres in damaged areas — usually managed by governments or relief agencies, to provide geographic data to decision-makers on the ground — has evolved into a more "dynamic" and "decentralised" disaster response due to the recent development of web-based geospatial ...
Uncontrolled dissemination of geospatial data may have grave implications on national security and personal privacy. Geospatial data can be considered sensitive based on attributes such as the location, resolution and the time of capture, etc. As such, authorisations associated with this data also possess spatial ...