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UTILIZATION OF SPOT 6/7 AND LANDSAT TO ANALYZE OPEN GREEN SPACE AND BUILT AREA IN SURABAYA CITY Ardha, Mohammad; Sari, Nurwita Mustika; Mukhoriyah, Mukhoriyah
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 21, No 1 (2024)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2024.v21.a3904

Abstract

The migration of people from rural to urban areas is a common phenomenon nowadays. One of the goals of urbanization is in the city of Surabaya. The increase in population causes the need for housing and the need for life to increase. One of the many changes in land use is the change of land into built-up land. The increase in the area of built-up land currently raises a new phenomenon where the area of open space is reduced due to changes in land use, one of the changes in land use is from green open space to built-up land. This study aims to see the extent to which the growth trend of green open space and built-up land in the city of Surabaya by using the NDVI method to see the trend of changes in green open space in the city of Surabaya and NDBI for the land built in the city of Surabaya. The data used in this study are SPOT 7 images for green open space and Landsat 8 for built land. Based on this method, green open space in the city of Surabaya in 2015 was 29.19%, in 2016 it was 21.22%, then in 2017 it was 24.54 %, and in 2018 it was 27.60%. While for Built land in 2015, it was 26.43%, in 2016 it was 26.44%, in 2017 it was 30.99% and in 2018 it was 42.88%. Other results were also obtained for the change of green open space into the land. awakened has increased every year, namely from 2015 to 2016 by 2.67%, from 2016 to 2017 by 4.43%, and from 2017 to 2018 by 8.08%. As for the land built into green open space, namely 2015 to 2016 of 2.01%, 2016 to 2017 of 2.84%, 2017 to 2018 of 2.72%. The conclusion from this activity is that NDVI can be used to see the level of vegetation density which can indicate the existence of green open space in urban areas. And NDBI can show the existence of built-up land. The city of Surabaya, has stable green open space, while the built land continues to increase every year.
Utilization of Sentinel-1 satellite imagery data to support land subsidence analysis in DKI Jakarta, Indonesia Ardha, Mohammad; Suhadha, Argo Galih; Julzarika, Atriyon; Yulianto, Fajar; Yudhatama, Dipo; Darwista, Rofifatuz Zulfa
Journal of Degraded and Mining Lands Management Vol. 8 No. 2 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.082.2587

Abstract

Land subsidence had been a significant problem in DKI Jakarta and Semarang, with at least 20 kilometres of roads affected. Repairing them will require at least US $ 1 million per kilometre. Land subsidence monitoring has been carried out using terrestrial methods (GPS and levelling), which are believed to have a high degree of accuracy. The high accuracy of the terrestrial method results in a lack of precision over a large area. On the other hand, remote sensing technology as a non-terrestrial method has developed to monitor land subsidence which can produce high precision over a large area. This study aimed to test the Sentinel-1 satellite data using the Differential Interferometric Synthetic Aperture Radar (DInSAR) method in monitoring land subsidence in DKI Jakarta. DInSAR is a method in Remote Sensing that utilizes radar sensors to analyze the phase differences of a SAR data pair that have different times of capture and have been catalogued to obtain displacement along the area of collection. The results showed that the North Jakarta area experienced the highest land subsidence in the entire Jakarta area. The annual average rate from 2017-2019 is 3.4 cm. The value of 3.4 cm is the average value of all samples in the North Jakarta area. The second area where high land subsidence is West Jakarta, where the maximum amount value of subsidence is 2.8 cm. The accuracy-test results with the MONAS test point showed that the difference between field data and DInSAR results was ± 6.5 cm. The results of this research indicate that the DInSAR method is quite capable of describing land subsidence in the DKI Jakarta area with a relatively good level of precision.
Analysis of land use and spatial planning in the Upstream Citarum watershed of West Java based on remote sensing data Mukhoriyah, Mukhoriyah; Arifin, Samsul; Kushardono, Dony; Ardha, Mohammad; Yulianto, Fajar
Journal of Degraded and Mining Lands Management Vol. 10 No. 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4315

Abstract

The Upstream Citarum watershed has a critical essential role in maintaining the quality and quantity of its water resources, which are a source of drinking water, agriculture, fisheries, irrigation, and electricity generation. The upstream watershed acts as a water catchment area that contributes as a place to accommodate the availability of water, especially during the dry season, and also as a protector of the entire area, both downstream and middle, so that the carrying capacity of the ecological balance can be protected. The increasing total population was inversely related to the condition of land use which is decreasing in quality, so to fulfill these needs, there was a land conversion that caused changes in land use. The Landsat-8 satellite imagery, SPOT 7, and spatial planning maps were used to analyze the suitability and incompatibility of land use with spatial pattern plans, evaluation, and directions for controlling the use of space. The result of the most extensive existing land use in the Upstream Citarum watershed in 2021 used for fields is 30% of the total area of 66,831.66 ha. Meanwhile, the spatial pattern plan was classified into protected and cultivated areas. The built-up area has the largest area, 35% or 75,223.96 ha. The results of the suitability of land use classes obtained that the level of suitability between the existing land use and the spatial pattern plan from the Maps of Regional Spatial Planning with the appropriate class was 52.50% or 96,205.43 ha, and the unsuitable class was 47.50% or 87,028.75 ha.