scholarly journals Identifying ecotourism attractions in Ubajara National Park (Ceará State) through remote sensing

2021 ◽  
Vol 38 (3) ◽  
pp. 180
Author(s):  
Irene Suelen De Araujo Gomes ◽  
Anderson Guzzi
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Surface Temperature ◽  
Environmental Impacts ◽  
Land Surface Temperature ◽  
Land Surface ◽  
National Park ◽  
Land Cover Mapping ◽  
Temperature Measuring ◽  
Natural Beauty

Tourism is among activities growing faster worldwide. Although it is a major global economic driver, it also largely contributes to environmental impacts. Therefore, ecotourism arose as an alternative to enjoy natural beauty without severely damaging nature. The aim of the present study was to identify the ecotourism attractions of Ubajara National Park (Ceará State) through Remote Sensing. This method involved land cover mapping and land-surface temperature measuring in order to detect both ongoing and potential activities. Ecotourism allows tourists to be closer to nature and widen their perspective on it. Such benefits can be seized by Ubajara National Park visitors through ecological trails and visits to the local cave, so they can come to understand the importance of conservation for maintaining the natural beauty of the Park. Flora and temperature in the Park’s highland areas are different from those of its neighborhood; this difference creates a landscape different from that of most Ceará State regions, and it makes this park a suitable place for the development of birdwatching tourism.

scholarly journals Assessment of Rapid Urban Development Impact for a Small-Sized Transit City Using Remote Sensing: A Case Study of Salatiga, Indonesia

2021 ◽  
Vol 887 (1) ◽  
pp. 012009
Author(s):  
D. D. Dewa ◽  
I. Buchori
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Environmental Changes ◽  
Rapid Development ◽  
Average Temperature ◽  
Central Java ◽  
The Impact

Abstract Salatiga is the connecting city between Semarang City and Surakarta, which makes it one of the small-sized transit cities in Central Java. Its strategic location has led to various developments being carried out in Salatiga in the last ten years. This study aimed to assess the impact of the rapid development of Salatiga as a transit city. This study utilized remote sensing to analyze land cover changes and changes in land surface temperature (LST). The results showed that Salatiga experienced more significant growth in the built-up area than the population growth. The rapid development in Salatiga creates various new activities, such as trade and services and industries. This development changed the land cover and affected the land surface temperature in Salatiga. In the last ten years, Salatiga experienced an average temperature increase of 0.23°C. Mitigation efforts are needed to suppress environmental changes in the future.

scholarly journals Impact of land cover change on land surface temperature over Greater Beirut Area – Lebanon

2021 ◽  
Vol 2 (1) ◽  
pp. 14-27
Author(s):  
Ali Khyami
Keyword(s):  
Remote Sensing ◽  
Twentieth Century ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Cover Change ◽  
Land Surface Temperature ◽  
Urban Growth ◽  
Land Surface ◽  
Bare Land ◽  
The City

Remote sensing (RS) technology has been used together with geographic information systems (GIS) to determine the LC types, retrieve LST, and analyze their relationships. The term Greater Beirut Area (GBA) is used to refer to the city of Beirut and its suburbs which witnessed rapid urban growth, after the end of the civil war, in the last decade of the twentieth century, due to the increase in the number of its inhabitants, and the prosperity and development of sectors such as; industrial, trade, tourism, and construction. These factors led to a wide change in the land cover (LC) types and increased land surface temperature LST. The results showed an increase in built-up areas by 29.1%, and agricultural lands by 6%, while bare land, forests, and seawater decreased by 28.5%, 4.9%, and 1.9%, respectively. These changes caused large differences in the LST between built-up areas and other LC types. The highest LST recorded was in built-up areas (33.03°C in 1985, and 34.01°C in 2020), followed by bare lands (32.61 °C in 1985 and 33.49°C in 2020), cropland (31.23°C in 1985 and 32.17°C in 2020), forest (30.08°C in 1985 and 30.47°C in 2020), and water (24.97°C in 1985 and 28.15°C in 2020). Consequently, converting different LC types into built-up areas led to increases in LST and changed microclimate.

scholarly journals Remote Sensing Image-Based Analysis of the Impact of Land Use/Land Cover Changes on Land Surface Temperature

2019 ◽  
Vol 8 (4) ◽  
pp. 1834-1839
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Spectral Radiance ◽  
Land Use Land Cover ◽  
The Impact ◽  
The City

This study evaluated the land use/land cover (LULC) changes in Tuguegarao City and analyzed its impact on Land Surface Temperature (LST). It was carried out using Remote Sensing and Geographic Information System (GIS) techniques. Three Landsat TM and ETM+ images data were acquired for the years 1990, 2005 and 2016 from USGS Earth Explorer portal. ArcGIS software was used to determine the area statistics of the different land cover and to make the final LULC map. LST for the study area was taken from the thermal infrared band of the satellite images by converting the image digital number into degrees Kelvin using the LMin and LMax spectral radiance scaling factors. The largest areal change appeared in the built-up area with an increase of 1120.32 ha. However, this study detected higher LST in the crop land, grassland and barren land areas of the city rather than the built-up parts of the city which does not follow many of previous studies. The results of the study can be presented to the Local Government Unit so that they can draft appropriate laws for the betterment of the city specially that rapid urbanization and uncontrolled population growth may have extreme impact on the environment.

scholarly journals Land-Cover Classification and its Impact on Peshawar’s Land Surface Temperature Using Remote Sensing

2022 ◽  
Vol 70 (2) ◽  
pp. 4123-4145
Author(s):  
Shahab Ul Islam ◽  
Saifullah Jan ◽  
Abdul Waheed ◽  
Gulzar Mehmood ◽  
Mahdi Zareei ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Cover Classification
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