In monitoring the environment system, many sensors and early warning systems are deployed in remote areas all around the world. satellite cameras satellite data transceivers provide the reliable satellite data M2M communications monitoring (machine to machine) needed to collect monitoring information from your remote sites.
Changes in the environment can be caused by either natural catastrophes like floods, typhoons, and volcanic eruptions or the human factor like industrial pollution and urban development. Whatever the cause, such changes may result not only in the loss of life and property in the short term but also environmental degradation in the long term.
To conserve the environment, it is essential that environmental changes such as variations in the conditions, patterns, and dynamics of air, water, and land resources, are effectively monitored. Recent advancement in Geographic Information Systems (GIS) technology has enabled environmental scientists to incorporate spatial data collected via diverse sources for monitoring purposes. In the GIS can be found digitized maps, demographic figures, and multitemporal information about the temperature, humidity, size, boundary, etc. of specific locations. Closely linked with GIS is remote sensing technology under which special data are acquired in the form of images depicting the spatial variation of terrestrial objects in terms of spectral reluctance. Remotely-sensed images range from the conventional aerial photographs taken from airplanes to the more sophisticated multispectral and multi-resolution digital data acquired by satellite sensors.
At present, both GIS data and remotely-sensed images can be stored, managed, processed, and retrieved in an integrated geographic information system (IRIS). But if scientists want to obtain high-level analysis and sophisticated interpretation of these two sets of data together, the IRIS has first to be upgraded and made more `intelligent’.
Conventional remote sensing image processing systems are developed on the basis of statistical pattern recognition and image analysis methodologies. Techniques have been developed to enable the systems to detect changes and classify images, but such techniques are very basic and their results are crude when compared with those of a skilled photo interpreter.
Monitoring system in Bangladesh
A good photo interpreter can efficiently utilize the image characteristics of tone, cooler, shape, size, texture, pattern, shadow, and site, and synthesize them with his/her knowledge of a specific region or discipline to produce detailed and accurate interpretations of environmental changes.
Researchers at CUHK have set out to formalize and automate the manner in which a photo interpreter performs his or her work, and to produce an intelligent image processing system that could provide high-level analyses and interpretation of remotely-sensed data. Environmental monitoring aims to assess the quality of natural resources and determine the effects of human activity on the environment. Common factors to measure our air, water, and soil quality. Air quality is most often measured by assessing relative amounts of chemicals such as CO2 and methane while water and soil can be monitored for harmful chemicals, biodiversity, or presence of harmful microorganisms.
Key to proper environmental monitoring is a well-planned experimental setup that takes into account what particular factors need to be measured, the sample size necessary to obtain meaningful results, what types of results might be expected, an assertion that the experimental actions themselves will not cause more harm than good. All these factors must be considered when purchasing equipment for environmental monitoring purposes.
Remote unattended air pollution systems. Weather stations (rainfall, wind, temperature, atmospheric pressure, humidity).Wildfire prescribed burning. Avalanche warning systems (snowpack monitoring systems).Coastal surge and tsunami early warning systems.Ice flows, icebergs, and glaciers.Lightning detection stations.Earthquake monitoring stations.