Water is the vital natural resource for human survival and development, as well as an important restriction factor of the Eco-environment.
It is not only critical to the ecosystems as a key component of the hydrologic cycle but also touches every aspect of our lives, such as drinking water, agriculture, electricity production, transportation, and industrial purposes.Surface water bodies are dynamic as they shrink, expand, or change their appearance or course of flow with time, owing to different natural and human-induced factors.
Change in surface water volume usually causes serious consequences.
The spatial and temporal change pattern of the surface water has important practical significance and scientific value for water resources management, biodiversity, emergency response, and global climate change.
However, small water bodies such as small ponds and narrow rivers cannot be extracted due to the limited spatial resolution of these remote-sensing images.
Most high-resolution remote-sensing images only have four bands (blue, green, red, and near-infrared), lacking the short-wave infrared (SWIR) data necessary to compute the modified normalized difference water index (MNDWI) and the automated water extraction index (AWEI) indices.A high-resolution spatial multi-spectral image has more detailed spatial features information, which can greatly improve the accuracy of urban water body extraction.
According to a survey conducted by the United States in 2014, within 64 years, the urban population increased to 3.9 billion from just 746 million.
The growth of urbanization can vary between countries, states, etc.
On a global level, too, survey conducting organizations use them to make an overall calculation of expansion in urbanization.
Machine learning is one such concept that can widely be used in the process of urbanization.
There are a variety of methods that can be used to present a clear picture of the urbanization which can take place in a particular location.
The data that are produced using these methods are far more accurate and are completely based on the images of satellites.
Aspectum has signed a contract of cooperation with Aventior to improve its Change Detection and Object Detection capabilities.Aspectum will utilize Aventior’s processing algorithms to develop its data analytics and improve the in-house Aspectum machine learning model.
With the help of these technologies, Aspectum will be able to conduct object detection operations such as data collection, processing, and visualization.Aventior’s technology is powered by a Neural Network capable of classifying the differences between two images by comparing pixel combinations.
It builds a map, where each pixel represents a “neuron,” and models the spatial context of these pixels in order to spot the correlations between them.
Simply put, the network distinguishes trees from buildings, and buildings from roads.Specifically, Aspectum will be using algorithms for Change Detection, Car Detection, Building Detection, and Vessel Detection.
This means Aspectum will be able to help businesses and non-profit organizations alike to take advantage of spatial intelligence and satellite imagery on a fundamentally different scale.Aspectum clients will have access to a tool able to automatically collect and analyze object data and hence, track changes for urban, suburban, rural, and maritime areas.
The maximum territory coverage has also been extended exponentially compared to previous software versions, while setting validation accuracy near 95%.This new machine learning algorithm is best suited for the following sectors:Infrastructural planning and renovation projects (building detection, traffic hubs workload estimation, violations tracking)Oil & Gas production industry (estimate oil production based on a number of oil storages, pipelines, supply chains analysis, and working oil wells)Transportation management (route planning, load estimation)Marketing research (parking lot load, location intelligence)About AventiorAventior specializes in data science, computer vision, data analytics, and cloud engineering business-to-business solutions.About AspectumAspectum is a California-based company focused on providing high-quality visualization and powerful analytics for business outcomes.
According to a survey conducted by the United States in 2014, within 64 years, the urban population increased to 3.9 billion from just 746 million.
The growth of urbanization can vary between countries, states, etc.
On a global level, too, survey conducting organizations use them to make an overall calculation of expansion in urbanization.
Machine learning is one such concept that can widely be used in the process of urbanization.
There are a variety of methods that can be used to present a clear picture of the urbanization which can take place in a particular location.
The data that are produced using these methods are far more accurate and are completely based on the images of satellites.
Water is the vital natural resource for human survival and development, as well as an important restriction factor of the Eco-environment.
It is not only critical to the ecosystems as a key component of the hydrologic cycle but also touches every aspect of our lives, such as drinking water, agriculture, electricity production, transportation, and industrial purposes.Surface water bodies are dynamic as they shrink, expand, or change their appearance or course of flow with time, owing to different natural and human-induced factors.
Change in surface water volume usually causes serious consequences.
The spatial and temporal change pattern of the surface water has important practical significance and scientific value for water resources management, biodiversity, emergency response, and global climate change.
However, small water bodies such as small ponds and narrow rivers cannot be extracted due to the limited spatial resolution of these remote-sensing images.
Most high-resolution remote-sensing images only have four bands (blue, green, red, and near-infrared), lacking the short-wave infrared (SWIR) data necessary to compute the modified normalized difference water index (MNDWI) and the automated water extraction index (AWEI) indices.A high-resolution spatial multi-spectral image has more detailed spatial features information, which can greatly improve the accuracy of urban water body extraction.
Aspectum has signed a contract of cooperation with Aventior to improve its Change Detection and Object Detection capabilities.Aspectum will utilize Aventior’s processing algorithms to develop its data analytics and improve the in-house Aspectum machine learning model.
With the help of these technologies, Aspectum will be able to conduct object detection operations such as data collection, processing, and visualization.Aventior’s technology is powered by a Neural Network capable of classifying the differences between two images by comparing pixel combinations.
It builds a map, where each pixel represents a “neuron,” and models the spatial context of these pixels in order to spot the correlations between them.
Simply put, the network distinguishes trees from buildings, and buildings from roads.Specifically, Aspectum will be using algorithms for Change Detection, Car Detection, Building Detection, and Vessel Detection.
This means Aspectum will be able to help businesses and non-profit organizations alike to take advantage of spatial intelligence and satellite imagery on a fundamentally different scale.Aspectum clients will have access to a tool able to automatically collect and analyze object data and hence, track changes for urban, suburban, rural, and maritime areas.
The maximum territory coverage has also been extended exponentially compared to previous software versions, while setting validation accuracy near 95%.This new machine learning algorithm is best suited for the following sectors:Infrastructural planning and renovation projects (building detection, traffic hubs workload estimation, violations tracking)Oil & Gas production industry (estimate oil production based on a number of oil storages, pipelines, supply chains analysis, and working oil wells)Transportation management (route planning, load estimation)Marketing research (parking lot load, location intelligence)About AventiorAventior specializes in data science, computer vision, data analytics, and cloud engineering business-to-business solutions.About AspectumAspectum is a California-based company focused on providing high-quality visualization and powerful analytics for business outcomes.