Introduction
At first, the geographical information system (GIS) refers to a network that establishes, controls, assesses, and maps entire data classifications. On the other hand, remote sensing is the database gathering regarding a phenomenon or an object without making any actual contact with it, compared to on-site or in-situ monitoring (Wu 152). Nevertheless, the integral usage of these technologies has positively changed the world. They are both applied in various domains, whereby they create massive awareness and share knowledge concerning the ecology, prospective risks and disasters, planned urban routes, and natural resources.
Geographical Information System
GIS and remote sensing are both utilized in disaster risk management. Through their use, natural calamities and catastrophes in prone regions become detected. The Sendai Framework sponsored by the United Nations helps advocate for holocaust and uncertainty minimization. The database has enabled the gathering of information associated with susceptible locations, including health facilities, the area disaster history, the impact of the last tragedy, and the preparation of the contingency plans (Taloor et al. 2). For instance, their use has resulted in monitoring the New Madrid fault in Missouri. There was a projection that it will render nearly 67 police stations and 37 hospitals inoperable and damaging of more than 200 schools (Skidmore 150). Through the help of these technologies help, city municipalities and various firms become extensively prepared and evade the optimal impacts created by the earthquakes and volcanic eruptions. There has been a development of the Global Human Settlement Layer, typically deployed to examine satellite imagery, checking where humans live along their migration sequence to assist them in avoiding the climatic change negative impacts.
Remote sensing and GIS technologies have substantially transformed the globe by enhancing urban and town planning through their monitoring. For better development of the future blueprints for the cities, engineers, builders, architects, and developers are embracing and utilizing spatial data sets (Taloor et al. 3). The less-developed urban parts and their suburbs are enhanced, reducing overpopulation in densely occupied regions. For instance, Brihanmumbai Municipal Corporation (BMC) for older Mumbai has deployed the systems tools and data to plan multiple jumbo projects (Nsanziyera et al. 207). The cities have recorded massive tourism due to cleanliness and minimized infections as the data obtained from these technologies are essential in tackling water clogging during cloud bursts and flooding.
In addition to that, the drainage models in towns can be redesigned effectively. The technologies help comprehend how urbanization distorts the environment and create ways to lessen the effect during the planning phase. According to the statistical reports, approximately 70 percent of the global population will be living in urban centers by 2050 (Singh 25). The GIS and remote sensing instruments can monitor the changing landscapes (Wu 155). They have engendered renewable energy instead of fossil fuels, in major cities, including New Orleans, Pittsburgh, Los Angeles, and New York minimizing land surface temperature and pollution in municipalities. Therefore, the systems have significantly improved the cities worldwide to accommodate people and reduce environmental damage.
It goes without noticing that GIS and remote sensing have changed the globe, particularly in the agricultural sector. One of the essential activities of human civilization is farming, which helps in running international ventures and feeding people. The two technologies have improved agriculture to increase food production and curb deaths (Skidmore 201). They assist in pinpointing the drought regions to evade prolonged damage from costly fertilizers, individuals’ efforts, and plant seeds. The information obtained from the spatial data sets helps predict pest attacks, like locusts, which enables the farmers and multiple governing bodies to plan for alternatives (Singh 26). Soil and land analysis can be attained through satellite imagery. Great decisions are made using GIS and remote sensing, driving better planning for future food demand.
Significantly, the two systems have contributed to avoiding deforestation and enhancing ecological and vegetation management. The forests serve as the habitats of wild animals, some of which are endangered and a source of rainfall. The past database at various times is deployed for assessment to plan for vegetation and reforestation (Taloor et al. 1). The tree-associated data are crucial, and the availability of imagery sources and heat maps enables taking further beneficial actions (Skidmore 186). A study undertaken in the Andaman Islands to analyze vegetation established that the plant life deteriorated significantly in areas inhabited by spotted deer and elephants (Nsanziyera et al. 207). There is a need for conservation planning as the nanosatellites offer the opportunity for constant tracking of ecological phenomena. The hazardous oil spills that hurt marine life are monitored, particularly in excessively used sea routes, like the Malaysian coastal areas. In that case, the technologies have changed the world by reducing the accidental and intentional spills that can cause the death of seawater creatures. The governing bodies in various countries have enacted policies and regulations to protect aquatic life.
Conclusion
In conclusion, the GIS and remote sensing have been used in mapping and navigation, minimizing cases of kidnapping and loss, mainly when traveling to new places and reviewing them. The geospatial information stores data, improving marketing and venture sales, enabling firms to become strategically highly competitive while targeting various global clients. People and governing bodies should be encouraged to continue utilizing these two systems, which have changed the world pragmatically in various areas, including agriculture, disaster management, and vegetation conservation.
Works Cited
Nsanziyera, Ange Felix, et al. “GIS and Remote-Sensing Application in Archaeological Site Mapping in the Awsard Area (Morocco).” Geosciences, 2018, pp.207, Web.
Singh, Ajay. “Remote Sensing and GIS Applications for Municipal Waste Management.” Journal of Environmental Management, 2019, pp. 22-29.
Skidmore, Andrew. Environmental Modelling with GIS and Remote Sensing. CRC Press, 2017.
Taloor, Ajay Kumar, et al. “Remote Sensing and GIS Applications in Geoscience.” Applied Computing and Geosciences, vol. 11, no.1, 2021, pp.1-3.
Wu, Qiusheng. “GIS And Remote Sensing Applications in Wetland Mapping and Monitoring.” Edited by Bo Huang, 2017, pp.140-157.