scholarly journals Apply Remote Sensing to Monitoring Dynamics of Built Environmental in The Core Area and The Border of Sokok City

2020 ◽  
Author(s):  
Silvia Evandi
Keyword(s):  
Environmental Changes ◽  
Confusion Matrix ◽  
Satellite Image ◽  
Early Period ◽  
Land Development ◽  
Image Data ◽  
Space Technology ◽  
Image Transformation ◽  
Test Technique ◽  
Landsat Satellite

The development of unmanned satellite space technology is increasingly willing, the emergence of medium resolution satellites with sensitivity and spectral variants such as Landsat is very effective in observing environmental changes, while the purpose of this study is to monitor the development of built-in land using image transformation techniques, estimating built-in land changes. The research method uses the NDVI image transformation technique, NDBI and Built Up Index, with Landsat satellite image data obtained from USGS. Accuracy sampling is done by purposive sampling with confusion matrix accuracy test technique. The research results were found. developed land for the period 2004 - 2010 with a percentage of 19.25%, for stages 2010 - 2018 with a percentage of 30.25%. The land development was built based on the area of ​​the highest sub-district in the Kubung area in the early period with a percentage of 7.20% then in the second period with a percentage of 32.23%. The quality of the accuracy of the results of image analysis using confusion matrix technique with an image accuracy level in a field sample of 185 with an image accuracy of 86.04%.

scholarly journals FEATURES OF THE THERMAL REGIME AND WATER SUPPLY FOR STEPPE BURNED AREA BASED ON LANDSAT SATELLITE IMAGES

2020 ◽  
Author(s):  
V.M. Pavleychik ◽  
◽  
K.V. Myachina ◽  
Keyword(s):  
Thermal Regime ◽  
Satellite Images ◽  
Landscape Heterogeneity ◽  
Satellite Image ◽  
Image Data ◽  
Burned Area ◽  
Recovery Processes ◽  
Satellite Image Data ◽  
Landsat Satellite ◽  
Thermal Background

Based on the analysis of Landsat satellite image data, microclimatic features of steppe burned area were identified, consisting in an increased thermal background, reduced depth and duration of snow cover. The duration of recovery processes is estimated taking into account landscape heterogeneity and regularities in the daily and seasonal dynamics of the thermal regime due to uneven insolation are revealed.

scholarly journals Preliminary Study of Total Suspended Solid Distribution in Coastal Ujung Pangkah Gresik Based Reflectance Value of Landsat Satellite Imagery

2019 ◽  
Vol 51 (1) ◽  
pp. 42
Author(s):  
Hendrata Wibisana ◽  
Bangun Muljo Soekotjo ◽  
Umboro Lasminto
Keyword(s):  
Satellite Image ◽  
Image Data ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Landsat 8 ◽  
Time Period ◽  
Satellite Image Data ◽  
Landsat Satellite ◽  
Solid Distribution

Total suspended solid (TSS) is one of the parameters that uses for detecting health in aquatic environments. The distribution of the TSS value in the water body will affect the aquatic ecosystem. In this research will be analyzed the distribution value of TSS during 5 year period by utilizing Landsat 8 satellite image data, where the developed method is extraction of reflectance value from Landsat 8 satellite image for 5 years using SEADASS and then compiled the TSS algorithm with reflectance value that already obtained on the existing conditions, the algorithm obtained is estimated over 5 years back to get a picture of change and distribution of TSS value. As a case study , the coast of Ujung Pangkah Gresik was taken which has the mouth of the river Bengawan Solo. The results obtained from this study illustrate the decrease of TSS value during that time period, so that with this decrease can be concluded that at the point of field coordinate, TSS value was decreasing and causing the erosion in the environment.

scholarly journals Vegetation change detection based on time series analysis by Apache Spark and RasterFrame

2021 ◽  
Vol 62 (1) ◽  
pp. 42-52
Author(s):  
Dung Mai Thi Nguyen ◽  
Thu Hoai Thi Vu ◽  
Keyword(s):  
Time Series ◽  
Large Scale ◽  
Data Science ◽  
Vegetation Change ◽  
Environmental Changes ◽  
Satellite Image ◽  
Image Data ◽  
Apache Spark ◽  
Raster Data ◽  
Average Value

Spatial big data has a large scale and complex, therefore, it cannot be collected, managed, and analyzed by traditional data analytic software shortly. These platforms in many situations are restricted to vectors data. However, the raster data generated by the sensors on the enormous number of satellites now needs to be processed in parallel on the cluster environment. The article introduces the satellite image data analyzing method using the RasterFrames library on the Apache Spark platform. The RasterFrames library examines raster data for Python, Scala, and SQL, bringing the power of Spark DataFrames to access to Earth Observation, cloud computing, and data science. In the experimental part, the NDVI and the change in the average value of NDVI in the time series are calculated to demonstrate the vegetation mantle changes in Phu Tho province. These results are the reference data source in the assessment of weather, climate, and environmental changes in the study area during that time.

scholarly journals THE EFFECT OF DIFFERENT ATMOSPHERIC CORRECTIONS ON BATHYMETRY EXTRACTION USING LANDSAT 8 SATELLITE IMAGERY

2017 ◽  
Vol 12 (1) ◽  
pp. 13 ◽  
Author(s):  
Kuncoro Teguh Setiawan ◽  
Yennie Marini ◽  
Johannes Manalu ◽  
Syarif Budhiman
Keyword(s):  
Remote Sensing ◽  
Satellite Image ◽  
Atmospheric Correction ◽  
Remote Sensing Data ◽  
Image Data ◽  
Landsat 8 ◽  
Calculation Error ◽  
Sensing Technology ◽  
The Difference ◽  
Landsat Satellite

Remote sensing technology can be used to obtain information bathymetry. Bathymetric information plays an important role for fisheries, hydrographic and navigation safety. Bathymetric information derived from remote sensing data is highly dependent on the quality of satellite data use and processing. One of the processing to be done is the atmospheric correction process. The data used in this study is Landsat 8 image obtained on June 19, 2013. The purpose of this study was to determine the effect of different atmospheric correction on bathymetric information extraction from Landsat satellite image data 8. The atmospheric correction methods applied were the minimum radiant, Dark Pixels and ATCOR. Bathymetry extraction result of Landsat 8 uses a third method of atmospheric correction is difficult to distinguish which one is best. The calculation of the difference extraction results was determined from regression models and correlation coefficient value calculation error is generated.

scholarly journals Perubahan Tutupan Hutan Di Taman Hutan Raya Wan Abdul Rachman (Tahura War)

2015 ◽  
Vol 3 (2) ◽  
pp. 43
Author(s):  
Handoko . ◽  
Arief Darmawan
Keyword(s):  
Land Cover ◽  
Land Tenure ◽  
Forest Cover ◽  
Satellite Image ◽  
Image Data ◽  
Literature Study ◽  
Forest Park ◽  
Classification Image ◽  
Forest Cover Changes ◽  
Landsat Satellite

Changes in forest cover due to land tenure is a serious threat to Great Forest Park Wan Abdul Rahman. This study aimed to analyze changes in forest cover in 1994, 1997, 2000, 2014, and the things that happen related to changes in land cover in Great Forest Park Wan Abdul Rahman. Techniques of remote sensing and geographic information systems used to monitor and evaluate changes in forest cover that have occurred since the year 1994 - 2014 and determine forest cover changes that occur in each block management. Landsat satellite image data in 1994, 1997, 2000, 2014 were collected and analyzed. Furthermore, direct observation in the field is done for assessment of accuracy as well as the literature study to look at the chronology of events related to the change of the forest. The results showed forest area in 1994 was 9.090,1 hectare or 40.9% of the total area Great Forest Park Wan Abdul Rahman. In 2000 the highest forest cover has decreased be 5.428,7 hectare or 24.4% of the total area. 2014 forest cover has increased to 8.953 hectare or 40.2% of the total area.Key words:      classification image, land cover change, Great Forest Park Wan Abdul Rachman

scholarly journals Remote Sensing-Based Aerosol Optical Thickness for Monitoring Particular Matter over the City

Proceedings ◽  
2018 ◽  
Vol 2 (7) ◽  
pp. 362 ◽  
Author(s):  
Tran Thi Van ◽  
Nguyen Hang Hai ◽  
Vo Quoc Bao ◽  
Ha Duong Xuan Bao
Keyword(s):  
Urban Development ◽  
Optical Thickness ◽  
Satellite Image ◽  
Regression Function ◽  
Aerosol Optical Thickness ◽  
General Distribution ◽  
Space Technology ◽  
Observation Methods ◽  
Landsat Satellite ◽  
Industrial Zones

Urban development contributing to air pollution is one of the factors seriously affecting public health. Besides the traditional ground observation methods, the current space technology has been added to the monitoring and managing environment. This research used Landsat satellite image to detect PM10 from by the Aerosol Optical Thickness (AOT) method for Ho Chi Minh City area. The regression analysis was used for establishing the relationship between the PM10 data obtained at ground stations and AOT values from processed images in 2003. The analysis showed a good correlation coefficient (R = 0.95) for the case of AOT calculated from spectral reflective green band. The relative radiation normalization was carried out for satellite imaging in 2015 in order to simulate the spatial distribution of PM10 with the same regression function. The distribution for PM10 aerosol pollution is focused on the urban area, traffic booth and industrial zones. The results of this study provided a picture of general distribution for current pollution status and also supported the determining of specified polluted areas. This has provided helpful and good support for zoning and urban environmental management in accordance with urban development.

Remote Sensing for Land Use Mapping, Case of The Study Area: Urban Commune of Saada, Morocco

2021 ◽  
Vol 2 (1) ◽  
pp. 36-43
Author(s):  
Abdelouhed Farah ◽  
Ahmed Algouti ◽  
Abdellah Algouti ◽  
Essaadia Adaze ◽  
Mohammed Ifkirne
Keyword(s):  
Land Use ◽  
Urban Area ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Satellite Image ◽  
Image Data ◽  
Machine Learning Algorithms ◽  
Exponential Population Growth ◽  
Landsat Satellite ◽  
The City

The phenomenon of urban planning in favor of agricultural land on the outskirts of the city of Marrakech is in full expansion. The study of land use changes is of pivotal interest for the knowledge, management, monitoring, surveillance, and evaluation of our environment. Indeed, the city of Marrakech has been experiencing exponential population growth for several decades. This phenomenon has led to a dynamic urban characterized by the increase and densification of urbanized areas (e.g. buildings and infrastructures) which leads to the occupation of natural spaces. To this end, this study aims at highlighting the mapping and evolution of land use in the city of Marrakech from Landsat satellite image data (1989, 2005 and 2020) through the application of the Image classification using Machine Learning algorithms with the QGis Orfeo Toolbox, which facilitate the production of land use maps at three dates as well as an evolution map of the conurbation and also to quantify the obtained results. The directions of extension of the urban area were defined and thus demonstrate its impact on the agricultural land located in the peri-urban area.

scholarly journals Yield variability prediction by remote sensing sensors with different spatial resolution

2017 ◽  
Vol 31 (2) ◽  
pp. 195-202 ◽  
Author(s):  
Jitka Kumhálová ◽  
Štěpánka Matějková
Keyword(s):  
Remote Sensing ◽  
Spatial Resolution ◽  
Satellite Data ◽  
Satellite Images ◽  
Satellite Image ◽  
Image Data ◽  
Data Availability ◽  
Satellite Image Data ◽  
Landsat Satellite ◽  
Very High

Abstract Currently, remote sensing sensors are very popular for crop monitoring and yield prediction. This paper describes how satellite images with moderate (Landsat satellite data) and very high (QuickBird and WorldView-2 satellite data) spatial resolution, together with GreenSeeker hand held crop sensor, can be used to estimate yield and crop growth variability. Winter barley (2007 and 2015) and winter wheat (2009 and 2011) were chosen because of cloud-free data availability in the same time period for experimental field from Landsat satellite images and QuickBird or WorldView-2 images. Very high spatial resolution images were resampled to worse spatial resolution. Normalised difference vegetation index was derived from each satellite image data sets and it was also measured with GreenSeeker handheld crop sensor for the year 2015 only. Results showed that each satellite image data set can be used for yield and plant variability estimation. Nevertheless, better results, in comparison with crop yield, were obtained for images acquired in later phenological phases, e.g. in 2007 - BBCH 59 - average correlation coefficient 0.856, and in 2011 - BBCH 59-0.784. GreenSeeker handheld crop sensor was not suitable for yield estimation due to different measuring method.

scholarly journals Analisis Perubahan Luasan Hutan Mangrove Di Kecamatan Brebes Dan Wanasari, Kabupaten Brebes Menggunakan Citra Satelit Landsat Tahun 2008, 2013 Dan 2018

2019 ◽  
Vol 8 (1) ◽  
pp. 27-35
Author(s):  
Amin Yunita Nur Annisa ◽  
Rudhi Pribadi ◽  
Ibnu Pratikto
Keyword(s):  
Satellite Image ◽  
Image Data ◽  
Landsat 8 ◽  
Mangrove Forests ◽  
Sensing Systems ◽  
Remote Sensing Systems ◽  
Satellite Image Data ◽  
June July ◽  
Landsat Satellite ◽  
Rehabilitation Activity

Mangrove merupakan ekosistem daerah peralihan yang memiliki beberapa fungsi diantaranya ekologis, fisik maupun ekonomi. Kerusakan mangrove sering terjadi di beberapa daerah sehingga kelestarian mangrove sangat perlu dijaga. Salah satu upaya untuk mengurangi kerusakan tersebut dengan kegiatan rehabilitasi. Kegiatan rehabilitasi ini bertujuan untuk memulihkan kondisi mangrove seperti keadaan semula. Keberhasilan dari kegiatan rehabilitasi ini dapat dipantau dengan sistem penginderaan jauh menggunakan citra Satelit Landsat. Penelitian ini dilakukan pada bulan Juni- Juli 2018. Metode penelitian ini menggunakan metode deskriptif bersifat eksploratif. Materi dalam penelitian ini adalah data citra satelit Landsat 5 untuk tahun 2008 dan Landsat 8 untuk tahun 2018. Berdasarkan hasil penelitian didapatkan nilai perubahan luasan hutan mangrove di Desa Kaliwlingi, Kecamatan Brebes dan Desa Sawojajar, Kecamatan Wanasari tahun 2008, 2013 dan 2018. Luas mangrove di Desa Kaliwlingi Kecamatan Brebes pada tahun 2008-2013 bertambah sebesar 101,25 ha yaitu 48,42 ha pada tahun 2008 dan 149,67 ha pada tahun 2013. Pada tahun 2013-2018 juga bertambah 184,23 ha yakni 333,9 ha pada tahun 2018. Pada Desa Sawojajar Kecamatan Wanasari, luas mangrove juga bertambah sebesar 0,09 ha yakni 24,39 ha pada tahun 2008 bertambah menjadi 24,48 ha pada tahun 2013. Tahun 2013-2018 juga bertambah sebesar 12,24 ha sehingga menjadi 36,72 ha di tahun 2018. Luas mangrove di Desa Kaliwlingi dan Sawojajar bertambah dalam kurun waktu sepuluh tahun.] Mangroves are transitional ecosystems that have several functions including ecological, physical and economic. Mangrove damage often occurs in several areas so that the preservation of mangroves is very important. One effort to reduce this damage is through rehabilitation activities. This rehabilitation activity aims to restore the condition of mangroves as they were before. The success of these rehabilitation activities can be monitored by remote sensing systems using Landsat Satellite imagery. This research was conducted in June-July 2018. This research method uses descriptive methods that are alternative. The material in this study is Landsat 5 satellite image data for 2008 and Landsat 8 for 2018. Based on the results of the study, the value of changes in a mangrove forests in Kaliwlingi Village, Brebes and Sawojajar Villages, Wanasari District in 2008, 2013 and 2018. The area of mangroves in Kaliwlingi Village, Brebes Subdistrict in 2008-2013 it increased by 101.25 ha, which was 48.42 ha in 2008 and 149.67 ha in 2013. In 2013-2018 it also increased by 184.23 ha, namely 333.9 ha in 2018. In Sawojajar Village, Wanasari Subdistrict, the area of mangroves also increased by 0.09 ha, which was 24.39 ha in 2008 which increased to 24.48 ha in 2013. 2013-2018 also increased by 12.24 ha to 36.72 ha in 2018. The area of mangrove in Kaliwlingi and Sawojajar villages has increased in ten years.

scholarly journals Studi Perubahan Garis Pantai Berdasarkan Interpretasi Citra Satelit Landsat dan Perhitungan Rasio Lahan di Wilayah Pesisir Indramayu Jawa Barat

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Thonas Indra Maryanto ◽  
Wiwin Windupranata ◽  
Samsul Bachri
Keyword(s):  
Satellite Image ◽  
Image Data ◽  
North Coast ◽  
Transitional Region ◽  
Northern Coast ◽  
Residential Areas ◽  
West Java ◽  
The North ◽  
Average Sedimentation Rate ◽  
Landsat Satellite

ABSTRAKWilayah pesisir sebagai kawasan peralihan yang menghubungkan ekosistem darat dan ekosistem laut, sangat rentan terhadap kerusakan dan perubahan yang diakibatkan oleh berbagai aktifitas manusia di darat maupun di laut. Kabupaten Indramayu merupakan salah satu wilayah di Pesisir Utara Jawa Barat yang mengalami kerusakan paling parah diantara seluruh kabupaten di wilayah pesisir Utara Jawa Barat serta memiliki penggunaan lahan pesisir yang cukup lengkap mulai dari pemukiman, persawahan, tambak, dan industri (PLTU dan MIGAS)..Besarnya perubahan garis pantai yang meliputi abrasi dan sedimentasi diturunkan dari data citra satelit Landsat wilayah pesisir Kabupaten Indramayu tahun 1994-2009 dengan metode komposit RGB 4, 5, 7 dan Metode AGSO kemudian dilakukan proses digitasi.. Luas abrasi di 11 Kecamatan Pesisir Indramayu dari tahun 1994 – 2009 sebesar 3900,41 Ha dengan laju abrasi rata-rata sebesar 23,64 Ha/ tahun dan Luas sedimentasi sebesar 650,29 Ha dengan laju sedimentasi rata-rata sebesar 4,81 Ha/tahun. Hasil perhitungan regresi terhadap rasio lahan penduduk untuk tahun 2015 sebesar 0,07 Ha/ jiwa dan menurun pada tahun 2025 menjadi 0,05 Ha/jiwa .Rasio lahan petani untuk tahun 2015 sebesar 0,66 Ha/petani dan menurun menjadi 0,55 Ha/petani di tahun 2025.Kata Kunci : Pesisir indramayu, citra satelit, abrasi dan sedimentasi, Rasio lahanABSTRACTCoastal areas as a transitional region connecting the land ecosystems and marine ecosystems, are vulnerable to damage and changes caused by various human activities on land and at sea. Indramayu regency is one of the areas in the North Coast of West Java is the most severely damaged among all districts in the northern coast of West Java and has a coastal land use complete enough from residential areas, wet rice fields, ponds, and industrial (power plant and Gas). The number of change in coastal line include erosion and sedimentation derived from Landsat satellite image data coastal areas of Indramayu district in 1994-2009 with the composite method RGB 4, 5, 7 and methods AGSO then do the digitization process. The extent of abrasion in 11 districts of the coastal Indramayu from 1994 - 2009 are 3900.41 hectares with average abrasion rate of 23.64 ha / year and sedimentation area of 650.29 hectares with an average sedimentation rate of 4.81 ha / year. Results of regression calculations to land ratio for the 2015 population of 0.07 ha / life and decreased in 2025 to 0.05 hectares /life .Rasio farmers' fields for 2015 of 0.66 ha / farmer and decreased to 0.55 Ha / farmers in 2025. Keywords: Coastal area of indramayu, satellite imagery, erosion and sedimentation, land Ratio

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