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Journal : International remote sensing application journal

UTILIZATION OF REMOTE SENSING FOR LAND SURFACE TEMPERATURE (LST) DISTRIBUTION MAPPING IN SOLOK CITY IN 2021 Mutiara Fitri; Triyatno Triyatno
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 (729.407 KB) | DOI: 10.24036/irsaj.v2i1.22

Abstract

Solok City is one of the cities in West Sumatra which has a fairly rapid population growth, this has led to an increase in development and a decrease in green open land or vegetation land. This affects the ground surface which absorbs and reflects more of the sun's heat. These conditions have an impact on rising surface temperatures. This research was conducted to analyze changes in vegetation land, built-up land and changes in surface temperature in Solok City using Landsat-8 Imagery of Solok City in 2015 and 2021 using the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDVI) algorithm models. (NDBI) and Land Surface Temperature (LST). The results of the study explain that the normalized difference vegetation index (NDVI) in Solok City has decreased, in 2015 the area of ​​vegetation density was 2344 Ha and in 2021 it was reduced to 1888 Ha. This is in line with the increase in building area / Normalized Difference Built-up Index (NDBI) in 2015, namely 1 from 921 Ha to 2295 Ha in 2021. Reduced vegetation area and increased built-up area increased Land Surface Temperature (LST) in the area. research, the temperature in 2015 was around 32.9° C and in 2021 there was an increase in surface temperature to 33.6° C. Pearson product-moment correlation was carried out to see the level of relationship between LST and NDVI and NDBI.
INTERPRETATION OF HIGH-RESOLUTION IMAGES FOR IDENTIFICATION OF DAMAGE TO RASANG AND LOST SHIP IRRIGATION CHANNEL KOTO TANGAH SUB-DISTRICT, PADANG CITY Liza Septi Dhamara Asri; Triyatno Triyatno
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (719.743 KB) | DOI: 10.24036/irsaj.v3i1.30

Abstract

This type of research is quantitative descriptive, with image interpretation through high-resolution images, and primary data as a source of data obtained through field surveys. The technique for determining informants is Total Sampling. The population in this study are villages in the Koto Tangah District, Padang City. This analysis uses quantitative analysis, namely on-screen digitization using the Arcgis application. Based on the results of research and discussion on High-Resolution Image Interpretation for Identification of Irrigation Channel Damage in Kasang and Kapalo Hilalang, Koto Tangah District, Padang City, the results obtained, namely the identification of irrigation canals using high-resolution imagery produces sufficient data in accordance with the conditions field. Based on the field survey, the condition of the network damage for the Hilalang Headquarters, starting from the weir building to BKH 1 was heavily damaged, BKH 2 to BKH 6 was moderately damaged. Starting from BKH 7 to BKH 8 still has good conditions. While the condition of the Kasang II irrigation canal from the weir to BKD 5 is still in good condition. BKD 6 to BKD 7 is moderately damaged. In contrast to BKD 4, it is in good condition, while parts of BAA 1 to 3 are in moderately damaged condition. The shape of the irrigation image in the city of Padang is tortuous, this is influenced by the topography of the area around the river which consists of community rice fields. The pattern shown in the image of the irrigation canal in the city of Padang is elongated, this shows the flow of the river from the upstream area to the downstream area of ​​the river. The texture that is displayed in the image of the irrigation canal in the city of Padang has a smooth texture. The site shown in the image of the irrigation canal in the city of Padang is side by side with the rice fields belonging to the community in the Koto Tangah District.
UTILIZATION OF SENTINEL-2A IMAGERY FOR MAPPING THE DISTRIBUTION OF MANGROVE FORESTS IN THE MANDEH AREA, WEST SUMATERA PROVINCE Shahna Qintania Meron; Triyatno Triyatno
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 (417.424 KB) | DOI: 10.24036/irsaj.v3i2.35

Abstract

Mangroves are a part of the coastal ecosystem, mangroves play an important role in coastal ecosystems where the presence of mangroves can prevent abrasion. This study aims to identify the distribution of mangroves in the Mandeh Area using Sentinel 2A Imagery data assisted by geospatial technology tools. The methods used in this research are Normalized Difference Vegetation Index (NDVI), overlay, and maximum likelihood guided classification, these three methods are a combination of techniques from remote sensing and geographic information systems. The results of the study show that in 2015 the total area of ​​mangrove land was 437 ha, in 2020 the area of ​​mangrove forest with the most extensive mangrove forest density was a high density of (227 ha/ 68%).