Gis And Remote Sensing: A Review Of Applications To The Study Of The Covid-19 Pandemic

The spread of the 2019 novel coronavirus disease (COVID-19) has engulfed the world with a rapid, unexpected, and far-reaching global crisis. In the study of COVID-19, Geographic Information Systems (GIS) and Remote Sensing (RS) have played an important role in many aspects, especially in the fight against COVID-19. This review summarises 102 scientific papers on applications of GIS and RS on studies of the COVID-19 pandemic. In this study, two themes of GIS and RS-related applications are grouped into the six categories of studies of the COVID-19 including spatio-temporal changes, WebGISbased mapping, the correlation between the COVID-19 and natural, socio-economic factors, and the environmental impacts. The findings of this study provide insight into how to apply new techniques (GIS and RS) to better understand, better manage the evolution of the COVID-19 pandemic and effectively assess its impacts.

GIS and RS based analysis of LULCC in Indian Himalayan

Land use is the main essential resource of the total ecological system.. Analysing LULCC is important for a vast range of applications such as landslide, land planning etc. In this study, LULCC have been considered for a period of 20 years (2000-2021) using RS and GIS based analysis of Shimla, Himachal Pradesh, India. Supervised classification technique is used to analyse LANDSAT images from the year 2000 to 2021. The output is identified and changes in land use pattern was obtained for each successive imagery and final changes were obtain by comparing 2000 and 2021 usgs data. The result obtained indicate a major change in the growth. Thickly vegetated land reduced from 95.52% to 20.22% in the year 2021 whereas the Moderately Vegetated land reduced from 60.25% to 10.50%. In the year 2021, The Urban Land increased from 75.65% to 180.50% while the agricultural land is also increased from 70.63% to 190.25%. Barren Land also gets increased from 65.25% to 150.23%.

Spatial Estimation of Soil Erosion Using RUSLE Modeling: the Case of kaffa Zone, South western Ethiopia

This research was administered to spatially predict the soil loss rate of kaffa zone using model estimate and GIS. Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was accustomed estimate potential soil losses by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using DSMW soil map, vegetation cover (C) using Sentinel-2A satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using DEM and satellite images. supported the analysis, the mean and total annual soil loss potential of the study area was 30 tons ha-1 year-1 and 36264.5tons ha-1 year-1, respectively. The result also showed that about 2.89, 8.02, 15.31 and 73.78% of the study area were classified a slight, moderate, high and very high with values ranging 0 to 15 ,15 to50,50 to 200, and > 200 tons ha-1 year-1, respectively. The study demonstrates that the RUSLE using GIS and RS provides great advantage to spatially analyze multi-layer of knowledge. The expected amount of soil loss and its spatial distribution could facilitate sustainable land use and management.

Using Remote Sensing Technologies to Improve Climate Literacy of Students at the Junior Academy of Sciences of Ukrain

<p>The Junior Academy of Sciences of Ukraine (JASU) is a state-funded extracurricular educational system that develops and implements methods of science education. Climate education is an essential component of educational system at the JASU. Currently, the JASU has more than 250,000 students working in 64 scientific areas. In 2018, the Junior Academy of Sciences of Ukraine received the status of Category 2 Science Education Center under the auspices of UNESCO and joined the network of Copernicus Academies.</p><p>          In 2012, a new section, Geographic Information Systems (GIS) and Remote Sensing of the Earth (RS), was established at the Kyiv branch of the JASU, which is supervised by the GIS and RS Laboratory. Whereas the Fourth Industrial Revolution is characterized by a booming growth of IT and unprecedented environmental problems and climate changes, the Junior Academy of Sciences of Ukraine aims not only to prepare modern students for life in new environment, but also to improve their climate literacy. Therefore, the GIS and RS Laboratory set a goal to teach the students to utilize modern technologies for monitoring environmental conditions of a particular area through analysis of satellite imagery within the framework of the All-Ukrainian Competition, “Ecopohliad” (Ecoview) (hereinafter referred to as the “Competition”).</p><p>          Every day we receive arrays of spatial data that are published on the Internet. However, without proper analysis and, most importantly, interpretation, such data are deposits of rough diamonds hiding in rock formations. Knowledge of the sources and ways to analyse satellite imagery enables us to independently verify the information provided by the media or official statistics. In its activities, the Laboratory uses extensively cloud services, EO Browser and Giovanni, which are characterized by intuitive interface and large array of available satellite imagery.</p><p>          The Competition was held for the first time in 2019-2020. It was attended by 341 secondary school students. Topics of competition projects chosen by the students were mostly related to the climate change at their places of residence. In particular, Artem Shelestov examined the relationship between the area of greenery in Kyiv city using Sentinel-2 satellite images and average annual air concentration of PM 2.5 based on surveillance sensors data. Bohdan Avramenko examined the traffic load on the air in the city of Starobilsk, compared the data with the information from Sentinel-5P satellite, and developed appropriate recommendations.  Marharyta Korol analysed the scale and consequences of the fire that occurred in September 2019 in the village of Novi Sokoly near the Chornobyl Nuclear Power Plant, and the impact of this emergency situation on air pollution.</p><p>          These studies were not only of scientific interest, but also of practical importance. In particular, the results of investigations conducted by Competition winners were published in the media.</p>

Advanced GIS and RS Applications for Soil and Land Degradation Assessment and Mapping

Land refers to the planet’s surface not covered by seas, lakes or rivers, but by different types of vegetation (e [...]