International Remote Sensing Applied Journal最新文献

COMPARISON OF ASTER GDEM IMAGES AND SRTM IMAGES FOR RIVER WATERSHED AND GEOMORPHOLOGY STUDY aster - gdem影像与SRTM影像在河流流域与地貌研究中的比较

International Remote Sensing Applied Journal Pub Date : 2023-03-02 DOI: 10.24036/irsaj.v3i2.38

Naf’an Arifian, Kemal Rahman Denis, S. Putri

{"title":"COMPARISON OF ASTER GDEM IMAGES AND SRTM IMAGES FOR RIVER WATERSHED AND GEOMORPHOLOGY STUDY","authors":"Naf’an Arifian, Kemal Rahman Denis, S. Putri","doi":"10.24036/irsaj.v3i2.38","DOIUrl":"https://doi.org/10.24036/irsaj.v3i2.38","url":null,"abstract":"This study uses two DEM images, namely ASTER GDEM and DEM SRTM to map the distribution of rivers and geomorphology located in The District of Pesisir Selatan. In this study a comparison of the two images was carried out with the same level of resolution of 30 meters to see the accuracy of the images used in the study of watersheds and geomorphology. \u0000The method used in this research is processing image data then identifying the river for each image used. Further carrying out a confusion matrix which is used to check or improve data from a quantitative approach. \u0000The results of the study in terms of comparison of ASTER and SRTM images for watershed identification show that SRTM imagery is more accurate in identifying watersheds compared to ASTER imagery. After taking samples with the number of sample points taken, namely 36 samples on each, and then testing for spatial accuracy, the results show that the SRTM imagery had an accuracy rate of 88% where out of 36 sample points only 5 were wrong or not on the river. Whereas in the ASTER image of 36 sample points, there were only 6 which were right on the river, show that the level of image accuracy is only 14% for river identification. The study also shows that after the research process and accuracy test, for geomorphologic identification on the two DEM images, namely DEM SRTM and ASTER GDEM, it found that both images have the same level of accuracy, therefore both images are equally good at identifying geomorphology.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121281272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DETERMINATION OF TH DYNAMICS OF THE FIELD AREA WITH FOOD SUPPORTUSING REMOTE SENSING IN SOLOK DISTRICT 索洛县粮食保障田区动态的遥感测定

International Remote Sensing Applied Journal Pub Date : 2023-02-28 DOI: 10.24036/irsaj.v3i2.34

Teguh Trivo Maulana, Fitriana Syahar

引用次数: 0

UTILIZATION OF SENTINEL-2A IMAGERY FOR MAPPING THE DISTRIBUTION OF MANGROVE FORESTS IN THE MANDEH AREA, WEST SUMATERA PROVINCE 利用sentinel-2a图像绘制苏门答腊省西部曼德地区红树林的分布

International Remote Sensing Applied Journal Pub Date : 2023-02-28 DOI: 10.24036/irsaj.v3i2.35

Shahna Qintania Meron, Triyatno Triyatno

引用次数: 0

MAPPING OF FOREST AND LAND FIRE HAZARDOUS USING LANDSAT 8 SATELLITE IMAGERY WITH LAND SURFACE TEMPERATURE (LST) AND NORMALIZED BURN RATIO (NBR) METHODS 基于地表温度(lst)和归一化燃烧比(nbr)方法的landsat 8卫星图像森林和土地火灾危险制图

International Remote Sensing Applied Journal Pub Date : 2023-02-28 DOI: 10.24036/irsaj.v3i2.37

Sri Mayang, Dilla Angraina

{"title":"MAPPING OF FOREST AND LAND FIRE HAZARDOUS USING LANDSAT 8 SATELLITE IMAGERY WITH LAND SURFACE TEMPERATURE (LST) AND NORMALIZED BURN RATIO (NBR) METHODS","authors":"Sri Mayang, Dilla Angraina","doi":"10.24036/irsaj.v3i2.37","DOIUrl":"https://doi.org/10.24036/irsaj.v3i2.37","url":null,"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. \u0000This 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. \u0000The 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.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115061491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DETERMINATION OF CHANGES IN FIELD AREA WITH FOOD-SUPPORTING CAPACITY USING REMOTE SENSING IN AGAM 利用遥感技术测定农区粮食保障能力的变化

International Remote Sensing Applied Journal Pub Date : 2023-02-28 DOI: 10.24036/irsaj.v3i1.33

S. Alhamda, Yudi Antomi

引用次数: 0

Mapping of Limestone Potential Using Landsat 8 Satellite Imageryin Some Areasof Timpeh 利用Landsat 8卫星图像在Timpeh部分地区绘制石灰石潜力图

International Remote Sensing Applied Journal Pub Date : 2023-02-28 DOI: 10.24036/irsaj.v3i2.36

Sabrina Roselini, D. Arif, S. Putri

{"title":"Mapping of Limestone Potential Using Landsat 8 Satellite Imageryin Some Areasof Timpeh","authors":"Sabrina Roselini, D. Arif, S. Putri","doi":"10.24036/irsaj.v3i2.36","DOIUrl":"https://doi.org/10.24036/irsaj.v3i2.36","url":null,"abstract":"Limestone potential is important information that can be obtained from remote sensing data which has advantages and speed in processing results. Remote sensing is a technology that can overcome the problemof measuring data for fast and accurate information. This research was carried out in some areas of the Timpeh sub-district,andDharmasraya districtusing Landsat 8-OLI imagery with the aimof1) identifying the potential of limestone using the Band Ratio method. 2) How to apply remote sensing in mapping the potential of limestoneusing Landsat 8 Oli imagery. \u0000 This research was carried out in several stages, namely Pre Processing which included radiometric correction and atmospheric correction, image cropping according to the research area, and processing whichincluded making geological maps, making landform maps, making maps of river flow patterns and vegetationindex maps and limestone identification using the RGB band ratio method (5/4;6/3;4/2). \u0000 The results of field identification in potential limestone areas, where the RGB (Red Green Blue)composite of the band ratio 5/4;6/3;4/2 shows that the presence of limestone is characterized by the appearanceof greenish-brown colored objects. The average pixel value for limestone with a band ratio of 5/4 is 2.475, for a6/3 ratio is 1.275 and for a 4/3 ratio is 0.788. In this study, the potential area of limestone in the research areawasfound,whichwas approximately 2352,14564 ha.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"20 31","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132747266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

COASTLINE MAPPING IN KOTO TANGAH DISTRICT USING MULTITEMPORAL REMOTE SENSING IMAGES, 2002, 2012 AND 2022 2002年、2012年和2022年koto tangah地区多时相遥感影像的海岸线制图

International Remote Sensing Applied Journal Pub Date : 2023-02-19 DOI: 10.24036/irsaj.v3i1.31

Rizka Nofriyanti, Febriandi Febriandi

引用次数: 0

UTILIZATION OF SATELLITE IMEGERY FOR MAPPING SETTLEMENT DEVELOPMENT TRENDS IN THE CITY BUKITTINGGI 利用卫星影像绘制北京城市聚落发展趋势

International Remote Sensing Applied Journal Pub Date : 2023-02-19 DOI: 10.24036/irsaj.v3i1.32

Sherena Aurelia Anwar, E. Ernawati

引用次数: 0

INTERPRETATION OF HIGH-RESOLUTION IMAGES FOR IDENTIFICATION OF DAMAGE TO RASANG AND LOST SHIP IRRIGATION CHANNEL KOTO TANGAH SUB-DISTRICT, PADANG CITY 解读高分辨率图像，用于识别巴东市koto tangah街道的rasang和丢失的船舶灌溉通道的损坏

International Remote Sensing Applied Journal Pub Date : 2023-02-19 DOI: 10.24036/irsaj.v3i1.30

Liza Septi Dhamara Asri, Triyatno Triyatno

{"title":"INTERPRETATION OF HIGH-RESOLUTION IMAGES FOR IDENTIFICATION OF DAMAGE TO RASANG AND LOST SHIP IRRIGATION CHANNEL KOTO TANGAH SUB-DISTRICT, PADANG CITY","authors":"Liza Septi Dhamara Asri, Triyatno Triyatno","doi":"10.24036/irsaj.v3i1.30","DOIUrl":"https://doi.org/10.24036/irsaj.v3i1.30","url":null,"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.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"607 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114049449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

COMPARISON OF NDVI, EVI, AND SAVI METHODS TO KNOW VEGETATION DENSITY WITH LANDSAT 8 OIL IMAGES, 2019 ndvi、evi和savi方法在landsat 8石油图像中植被密度的比较，2019

International Remote Sensing Applied Journal Pub Date : 2023-02-18 DOI: 10.24036/irsaj.v2i2.28

Ilham Hasan Suardi, Dilla Anggraina

{"title":"COMPARISON OF NDVI, EVI, AND SAVI METHODS TO KNOW VEGETATION DENSITY WITH LANDSAT 8 OIL IMAGES, 2019","authors":"Ilham Hasan Suardi, Dilla Anggraina","doi":"10.24036/irsaj.v2i2.28","DOIUrl":"https://doi.org/10.24036/irsaj.v2i2.28","url":null,"abstract":"This study aims to determine: (1) The level of vegetation density in Koto Tangah District, Padang City in 2019 using the NDVI, EVI, and SAVI methods, (2) The vegetation index method has the highest accuracy in predicting vegetation density in Koto Tangah District, Padang City. The type of research conducted is quantitative research, with research data in the form of Landsat 8 imagery data to identify the vegetation index NDVI, EVI, and SAVI. These indexes utilize a combination of bands on Landsat imagery. The value of the vegetation index can be calculated using the existing formula. carried out ArcGIS by using the raster calculator tool by entering the band values and calculations. In taking the accuracy test on the sample used a simple random sampling technique and using the Fitzpatricklens formula for each vegetation index method. Data collection techniques used are literature study, observation, and documentation. Meanwhile, the data analysis technique uses vegetation density analysis by looking at the accuracy of the NDVI, EVI, and SAVI methods. The results in this study indicate that each vegetation index is vulnerable, namely NDVI -1 -0.3 Very rare, -0.03- 0.15 Rare, 0.15 – 0.25 Medium, 0.25 – 0.35 Meeting, 0.35 – 1 Very Meeting, SAVI -1- -0.26 Very Rare, -0.26 – 0.29 Rare, 0.29-0.66 Moderate, 0.66-0.99 Meeting, 0.99-1 Very Meeting; EVI -0.99-0.1 Very Rare, 0.1-0.17 Rarely, 0.24-037 Moderate, 0.37-0.47 Meeting, 0.47-1 Very Meeting. the value results obtained that the area of the sub-district of Koto Tangah, the city of Padang, is dominated by high. Based on the research results of the three indices, the most dominating class is very dense vegetation density. The accuracy test results for the NDVI method were 86.95%, for the EVI method it was 86.95%, and for the SAVI method, it was 91.30%.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125004327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0