These advances were pivotal for disease mapping as epidemiologist could identify important drivers of disease risk and thus be able to guide control programs more efficiently and with evidence-based decisions. Geostatistics is a branch of statistics that is used to analyze and predict the values associated with spatial and temporal phenomena [17]. UNITED KINGDOM, Mapping environmental diseases in the twenty-first century. Recently, sensor spectral bands have also improved and could now resolve and aid multicolor image display during feature analysis and identification. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation.The term is applied especially to acquiring information about Earth and other planets.Remote sensing is used in numerous fields, including geophysics, geography, land surveying and most Earth science disciplines (e.g . In: Wilson JP, Gallant JC (eds) Terrain analysis: principles and applications. Int J Appl Earth Obs Geoinf 9(2):194203, Ben-dor E, Banin A (1995) Near-infrared analysis as a rapid method to simultaneously evaluate several soil properties. Remote sensing was introduced with the evolution. Ballantine JAC, Okin GS, Prentiss DE, Roberts DA (2005) Mapping North African landforms using continental scale unmixing of MODIS imagery. We used some examples from a case study conducted in Eswatini in Southern Africa. Eur Geol J 41:1625, Duarte L, Teodoro AC (2021) GIS Open-source plugins development: a 10-year bibliometric analysis on scientific literature. Thus, they depend on their physical, chemical, biological and or geological properties. As a result of these statistical and computational advances, the integration of environmental and climatic data derived from remote sensing technology into disease mapping models had over the years markedly increased. Application of remote sensing in mapping include: Planimetry means measuring distances, angles, and areas on a plane, particularly on a map. This information helps create accurate and detailed maps that reflect the various features and characteristics of a specific area. Enables the creation of high-resolution digital elevation models, aiding in topographic mapping and terrain analysis. Remote sensing techniques use satellite and or airborne sensors to collect information about a given object or area. 10. A study by [31] identified tick habitats on the island of Guadeloupe using derived vegetation and moisture indices. Big data refers to extremely large data sets that may be computationally analyzed to reveal patterns, trends, and associations relating to human behavior. By combining satellite imagery, digital elevation models, and hydrological modeling, remote sensing provides valuable insights into flood-prone areas, enabling better preparedness, response, and mitigation measures. It facilitates geoscientists to map the potential mineral zones, thus saving time easily. support@mdpi.com. This variation in space gave a niche to remote sensing to find its way into the public health domain as disease researchers sought to investigate the explaining environmental and climatic factors. We also share information about your use of our site with our social media, advertising and analytics partners. These successful remote sensing applications in conventional agriculture have even led to the development of a well-established discipline category, precision agriculture. Soil Sci Soc Am J 45(6):5, Sumfleth K, Duttmann R (2008) Prediction of soil property distribution in paddy soil landscapes using terrain data and satellite information as indicators. Learn how your comment data is processed. By capturing images before and after a disaster event, remote sensing enables the rapid assessment of damages, identification of affected areas, and planning of emergency response activities. To date our community has made over 100 million downloads. Chamin HI, Teixeira J, Freitas L, Pires A, Silva RS, Pinho T, Monteiro R, Costa AL, Abreu T, Trigo JF, Afonso MJ, Carvalho JM (2016) From engineering geosciences mapping towards sustainable urban planning. However, successful application of remote sensing technology depends on the ability of nonexperts RS data and end users to access, retrieve, and analyze the data captured from satellites. In geological remote sensing, mineral mapping is an appealing application of hyperspectral remote sensing for geological surveyors. Remote sensing products are prolifically applied and utilized in disease mapping and medicine. For instance, identification and location of areas where vector survival rates are highest had been done using vegetation indices derived from remote sensing. Soil Sci Soc Am J 70(2):393407, Qi J, Chehbouni A, Huete AR, Kerr YH, Sorooshian S (1994) A modified soil adjusted vegetation index. International Cartographic Association Elsevier, Oxford, Fisher PF, Dykes JA, Wood JD (1993) Map design and visualisation. NASA observes Earth and other planetary bodies via remote sensors on satellites and aircraft that detect and record reflected or emitted energy. Identifying and mapping vector habitats using climatic suitability was used to guide surveillance and control efforts. Remote sensing provides essential data about objects at or near the earths surface and the atmosphere based on radiation reflected or emitted from objects or areas in multiscale and multitemporal approaches. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Elevation models facilitate contour lines for topographical maps, slopes, and side models. The ability to develop near real-time monitoring spatial models in order to timely predict the spatial and temporal patterns of vector-borne diseases, and transmission risk is also a motivation for the use of RS data in disease mapping and epidemiology. https://doi.org/10.1007/s42452-021-04855-3, DOI: https://doi.org/10.1007/s42452-021-04855-3. As the resolutions (both spatial and temporal) of remote sensing sensors had improved from the first generation of this technology, so has the interest and confidence in the use of their data products increased among the scientific community. Provides valuable data for flood modeling and management, helping to assess flood risks and plan effective mitigation strategies. This customization had enabled direct incorporation of such indices into models as interpretation became possible to the research community even though not being experts in the remote sensing field. Most of such studies aimed to analyze and measure some of the presumed associations between environmental factors and human diseases. Academic Press, Elsevier, pp 321392, Carr F, McBratney AB, Mayr T, Montanarella L (2007) Digital soil assessments: beyond DSM. Open Access Published: 11 January 2021 Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China Yu-qing. By capturing imagery at different wavelengths, remote sensing platforms can discern different types of vegetation, landforms, and human-made structures. Flood mapping and risk assessment are essential components of effective disaster management and land use planning. By Eduardo Landulfo, Alexandre Cacheffo, Alexandre Ca By Ehsan Atazadeh and Mostafa Mahdavifard, IntechOpen Limited Remote sensing and GIS applications are well established in soil erosion mapping due to the availability of up-to-date data at various . Remote sensing is the acquiring of information from a distance. The technological advancements in the remote sensing have revolutionized the land resource inventory and mapping process. For example, statistical software programs such as STATA, R, WINBUGS, and others have been used to process and analyze climatic data derived from remote sensing. Int J Remote Sens 38(17):48554867, Clark RN (1999) Spectroscopy of rocks & minerals, & principles of spectroscopy. Remote Sens Environ 48(2):119126, Ravisankar T, Srivastava R (2009) Satellite imagery- their interpretation and applications in soil survey and mapping. The advantage of remote sensing data is that it provides synoptic view of the terrain, which enables to understand the relief, land use and drainage conditions for better delineation of landform-soil units. Int J Remote Sens 23(6):10431062, Ben-Dor E, Taylor RG, Hill J, Dematt JAM, Whiting ML, Chabrillat S, Sommer S (2008) Imaging spectrometry for soil applications. The author(s) declare that they have no competing interests. On the other hand, epidemiology is a branch of medicine that deals with the incidence, distribution, and strategies for disease containment and control as well as other factors relating to human and animal health. Remote sensing involves acquiring data about an object or area without direct contact, typically through satellite or airborne instruments. By making research easy to access, and puts the academic needs of the researchers before the business interests of publishers. Digital Elevation Models (DEMs) can be generated from remote sensing data using techniques like stereoscopic interpretation of satellite or aerial imagery, radar interferometry, and LiDAR (Light Detection and Ranging) technology. Geotechnologies and the Environment, vol 21. First, it uses passive and active sensors. Cartogr J 30(2):136142, Lillesand TM, Kiefer RW, Chipman JW (2015) Remote sensing and image interpretation, 7th edn. Much progress has been made since the first published report on application of remote sensing in mangrove mapping nearly 40 years ago. One of the primary applications of remote sensing in geography is land use mapping. Remote sensing is now a widely used proxy in mangrove ecosystem related research mostly due to increased affordability of data and ease of access. Furthermore, Satellite imagery could be used to analyze the socioeconomic changes that are currently taking place as a result of COVID-19. Tools like spatial scan statistics had also been used to identify and map disease clusters and to determine the key driving factors resulting in the identified clusters. 1. Common climatic variables used in disease predictive modeling studies often combine remote sensing measurements of vegetation, precipitation, and temperature to identify when and where conditions would be favorable for disease propagation. https://doi.org/10.1007/978-3-319-78711-4_16, DOI: https://doi.org/10.1007/978-3-319-78711-4_16, eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0). The application of geostatistical techniques to identify spatial heterogeneities in disease distributions, patterns, and trends as well as forecasting for epidemic preparedness planning had been demonstrated in studies by Chils and Delfiner [17]; and Tran et al. An important aspect in the application of RS data in disease mapping and epidemiology is their use as predictor variables in modeling. Studies have demonstrated the potential offered by remote sensing application to disease mapping and epidemiology and to support surveillance and control efforts. This has resulted to a new field of research called geostatistics, which combines both geography and statistics during spatial analysis. Download Citation | On Jun 1, 2023, Hu Wang and others published Application of UAV remote sensing technology in 1:500 topographic map mapping | Find, read and cite all the research you need on . It enables us to monitor and evaluate the impact of human activities on ecological and biodiversity systems and to . More and more countries and private companies have launched satellites into space in the twenty-first century and the resultant imagery data products have been availed to the research community [24]. "Application of Remote-sensing Data and Decision-Tree Analysis to Mapping Salt-Affected Soils over Large Areas" Remote Sensing 2 . Required fields are marked *. Satellite imagery and aerial photographs provide a birds eye view of urban sprawl, enabling urban planners to monitor changes and plan infrastructure development accordingly. Int J Remote Sens 27(21):48074818, Giri JD, Nagaraju MSS, Srivastava R, Singh DS, Nasre RA, Barthwal AK, Mohekar DS (2016) Accuracy assessment of large-scale soil map prepared by remote sensing approach. Home > Using remote sensing to model tree species distribution in Peruvian lowland Amazonia. Active sensors have their own energy source, which is emitted in the direction of the object (e.g., radar), and the resultant signal reflected back is measured (e.g., [5, 6]). The growth of cities demands constant monitoring and planning. This would often result in missing data as observation could not be completed on those days when the weather station failed. Lineament mapping via the means of remote sensing and GIS techniques is a well-known approach in groundwater . In economically disadvantaged areas with poor ground measurement meteorological station networks, RS data had often been preferred and used as environmental and climatic proxies in disease risk mapping and prediction. Remote sensing is widely used in ecological and biodiversity mapping by providing accurate and up-to-date information on various ecological and biodiversity parameters such as habitat types, species distributions, and ecosystem services.
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