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Journal : International remote sensing application journal

APPLICATION OF REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM FOR FOREST RESOURCES BALANCE MAPPINGIN THE TARUSAN SUB-DAS, PESISIR SELATAN DISTRICT Rizik Fadel Muhammad Hasan; Dilla Angraina
International Remote Sensing Applied Journal Vol 1 No 2 (2020): international remote sensing application journal (December Edition)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.258 KB) | DOI: 10.24036/irsaj.v1i2.18

Abstract

This forest resource balance mapping aims to (1) determine changes in the area of ​​forest resources in the XI Tarusan sub-district, Pesisir Selatan Regency; (2) find out the forest balance in XI Tarusan District, Pesisir Selatan District; (3) determine the accuracy of Landsat 8 imagery for preparing forest resource balances. The method used in mapping the balance of forest resources is by carrying out a supervised classification for land use and land cover. Then the data is overlaid using a two-dimensional matrix approach. Furthermore, the data is analyzed using a Geographic Information System which provides spatial information to be able to present data in map form. The results of this study are changes in the area of ​​forest resources in XI Tarusan District, Pesisir Selatan District, which is 28.62 Ha.,and the accuracy of the Landsat 8 image obtained in the preparation of this forest resource is 91.66%.
UTILIZATION OF WORLDVIEW-3 SATELLITE IMAGES FOR 3-DIMENSIONAL (3D) MAPPING AS VISUALIZATION OF TOURISM AREA, KAYU ARO SUB-DISTRICT Achmad Fahri; Dilla Angraina
International Remote Sensing Applied Journal Vol 2 No 1 (2021): international remote sensing application journal (June Edition 2021)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.459 KB) | DOI: 10.24036/irsaj.v2i1.21

Abstract

One of the efforts to develop and improve the implementation of tourism is through the construction of objects and attractions, either in the form of working on existing tourist objects or creating new objects as tourist attractions. This study aims to map the Tourism Object Area of ​​Kayu Aro District for the tourism sector in the Kayu Aro District, Kerinci Regency, Jambi Province. The method used is descriptive with a quantitative approach. Quantitative research uses image data of description information about tourist objects found in the Tourism Object Area of ​​Kayu Aro District. The final result of this study is a 2-Dimensional Map and 3-Dimensional Visualization of the Tourism Object Area of ​​Kayu Aro District in the tourism sector, Kayu Aro District, Kerinci Regency, Jambi Province.
UTILIZATION OF SPOT IMAGERY TO EVALUATE THE SUITABILITY OF RICE FIELD SPACE PATTERNS IN PADANG CITY Ero Anelka Efendi; Dilla Angraina
International Remote Sensing Applied Journal Vol 2 No 2 (2021): international remote sensing application journal (Dec Edition 2021)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (758.096 KB) | DOI: 10.24036/irsaj.v2i2.25

Abstract

that are converted into built-up lands such as housing, shops and industry. According to Darmawan (2002), one of the factors that cause land change is the socioeconomic factors of the community related to the needs of human life. One of the provinces that experienced the largest paddy land conversion in Indonesia is the West Sumatra region. Many factors result in land use changes that have an impact on the land itself, such as social, and economic factors and also factors of increasing the number of inhabitants. Land use change is the transition of an old form and location of land use to a new one. Or the change in the function of agricultural land such as built-up land (Adhiatma et al., 2020). The selection of the Padang City Area as a research site was based on significant land use changes in Padang City, this was caused by several factors such as the rate of population growth in Padang City which increased every year based on BPS data in 2015-2020 period was 1.52% with a population of 909.04 thousand people in 2020. The spatial pattern that has been set by the government in general in the city of Padang is an area developed for the cultivation of rice fields covering an area of 4540.10 ha. Based on BPS data from Padang City, the area of paddy fields decreases by 0.7% every year which is converted into housing and shops and industries in Padang City. The development of built-up land that occurred in the city of Padang slowly changed the rice field area into a built-up area that was not by the provisions of the spatial pattern that had been set by the local government. The spatial pattern that has been set by the government so that the area of paddy fields can be maintained by utilizing remote sensing data. By using remote sensing data such as imagery. Spot imagery is one of the high-resolution remote sensing images that is a French-owned satellite that operates to provide remote sensing data. SPOT imagery provides an imaging instrument that is then carried out as an overlay method between the rice field map and the rice field space pattern that has been set by the government to see its suitability. High-resolution optics are synonymous with panchromatic (P) and Multispectral (Green, Red, and Near Infrared). SPOT imagery has a spatial resolution of 2.5meter 10meters with a wide viewing angle that covers 60 x 60 km or 60 x 120 km in twin mode instruments, and an orbital altitude of 822 km, SPOT provides an ideal combination of high resolution and also wide visibility that can meet the needs of data that is accurate enough for identification of rice fields.
MAPPING OF FOREST AND LAND FIRE HAZARDOUS USING LANDSAT 8 SATELLITE IMAGERY WITH LAND SURFACE TEMPERATURE (LST) AND NORMALIZED BURN RATIO (NBR) METHODS Sri Mayang; Dilla Angraina
International Remote Sensing Applied Journal Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (441.298 KB) | DOI: 10.24036/irsaj.v3i2.37

Abstract

This study aims (1) to determine the distribution of Land Surface Temperature (LST) in the Baso District in 2022 (2) to determine the Normalized Burn Ratio (NBR) in Baso District in 2022 (3) to map areas prone to forest and land fires by utilizing the Land Surface Temperature (LST) and Normalized Burn Ratio (NBR) algorithms in Baso District in 2022. This study uses the Land Surface Temperature (LST) method to determine the distribution of land surface temperatures in the Baso District in 2022. The Normalized Burn Ratio (NBR) method is used to identify areas that are burned and then weighted overlay using Arcgis to obtain data on land and forest fire vulnerability. in Baso District. The results of this study are (1) showing a minimum temperature value of 13.6oC maximum temperature of 34.5oC and an average temperature of 26oC (2) showing the results of the distribution of areas with a value of -1 which are identified as burnt or those with bad vegetation of 2.5 and areas with a value of 0 indicating vegetation a good area of ​​7,636 Ha (3) on the mapping of areas prone to forest and land fires after the Weighted Overlay was carried out found 4 classes of vulnerability levels not prone to forest and land fires, moderately prone, prone and very prone to forest and land fires.