Mapping and Monitoring Urban Areas Using Sentinel 1 and Sentinel 2

Habibie, Muhammad Iqbal; Yusuf, M.; Setyaningrum, Nugraheni; Pianto, Teguh Arif; Nurdiansyah, Nurdiansyah; Aziz, Muhammad Lutfi

doi:10.1109/agers53903.2021.9617263

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…A more thorough analysis using vegetation phenology [22] and object detection [23,24] will be used to validate the yield model. Predicting vegetation phenology and drought severity also assists in the prevention of crop decreases and the provision of local food security.…”

Section: Discussionmentioning

confidence: 99%

Estimation of the Indonesian drought based on phenology vegetation analysis of maize

Habibie,

Nurda

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Climate change has a widespread influence on food essentials. Climate change is a pressing issue in Indonesia, a rapidly developing country. As a result, to forecast dryness during maize production in Indonesia’s Central East Java districts, it was proposed that a study be done on vegetation phenology. The study uses the vegetation to calculate the NDWI (Water Index) and Temperature (LST), calculate drought severity based on precipitation data. NDWI and LST were obtained from Landsat 8 OLI with a spatial resolution of 30 m and were used to identify water shortage and temperature within the study area. The inquiry was finished in 2018 and showed that the vegetation phenology was based on the growing season. The growing season of maize report from the NDVI (Vegetation Index) trajectories that April 2018 was the maize planting season, and the harvest was completed in later August. Additionally, LST analysis found that the temperature was higher in mid and southern Central East Java, Indonesia. To validate the data, rainfall information was used to compute the drought severity using SPI method to identify drought-prone areas. Drought severity validation data were validated for vegetation phenology analysis in 2018.

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Section: Discussionmentioning

confidence: 99%

Estimation of the Indonesian drought based on phenology vegetation analysis of maize

Habibie,

Nurda

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…There has been a lot of study done recently due to remote sensing's capacity to monitor crops in real time and give diverse observation data for the agricultural business with high revisit frequency and precision. Some current large-scale studies have mostly focused on analysing differences in land use [4], health watershed assessment [5], mapping and monitoring urban areas [6], fire detection [7], and soil moisture [8] utilizing GIS software and extensive coverage satellite imagery. In contrast, several extensive studies have employed highresolution satellite photos [9], in addition to theoretical crop yield forecasting methods with good accuracy [10,11].…”

Section: Introductionmentioning

confidence: 99%

Downscaling of vegetation indices from multi-satellite throughout-season maize

Habibie,

Nurda

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Phenomenology of the growing season The Normalized Difference Vegetative Index (NDVI) provided by satellites was employed as a replacement for quantifying the output of vegetative biomass. The MODIS sensors 250-m data have been utilized for terrestrial ecosystem modelling and monitoring. MODIS’s land surface data are credible and trustworthy because to their high temporal resolution and broad spectrum of wavelengths. Land cover and land change studies have used the spatially accurate data provided by the Landsat 30m to characterize human-scale processes. Sentinel-2 is a land surveillance satellite with innovative spectrum capabilities, extensive coverage, and excellent spatial and temporal resolutions. The primary purpose of this work is to create a downscaling vegetation indices (VI) database by combining MODIS, Landsat, and Sentinel data into 250m resolution. The most important NDVI indicates the maize growing season in April and August. MODIS, Landsat, and Sentinel 250m derived biophysical information deliver the same biophysical information for moderate-scale biological aspects. This multi-sensor inquiry also includes high-resolution Landsat data, which will be useful for local ecological investigations while keeping the full seasonal dynamic information given by MODIS.

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“…All of these rivers contribute to the formation of a watershed that drains into Lampung Bay [4]. It also has a significant port city for the Sumatra region, located on a bay-shaped beach that protects the coastal area from high waves caused by strong winds [5]. However, in some coastal areas, sea waves have caused abrasion.…”

Section: Introductionmentioning

confidence: 99%

A Critical Analysis of the Challenges of Collaborative Governance in Climate Change Adaptation Policies in Bandar Lampung City, Indonesia

Mukhlis

Perdana

2022

Sustainability

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It is not uncommon that collaborative governance is now generating new attention in Indonesia as a method of governing. This is because of the terrible historical experience of governance during the New Order era, including the state’s dominant role, the government’s unwillingness to engage actors outside the state, and a centralized and top-down development pattern. Collaborative governance, specifically the recommendation to involve multiple stakeholders (government, private sector, and society) in government management and public policy, addresses these issues. Therefore, the purpose of this study was to provide a critical review of the ongoing collaborative governance process and to determine whether various challenges associated with collaborative governance are influencing the success of climate change adaptation policies in increasing adaptive capacity in Bandar Lampung City. This study was conducted in Bandar Lampung City on the Indonesian island of Sumatra using a qualitative approach and involved informants who were both apparatus and members of the Bandar Lampung City Climate Change Resilience Coordination Team. Interviews and document analysis were used to collect data, which were then analyzed using a content analysis procedure. The findings indicate that this city has achieved a number of milestones in its efforts to improve the adaptive capacity of government institutions and society. However, the collaborative governance approach, which is hailed as the optimal method for implementing long-term public policies, is not always smooth, demonstrating that collaborative governance remains vulnerable to failure due to cultural, institutional, and political factors. The article concludes with suggestions for future research.

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Mapping and Monitoring Urban Areas Using Sentinel 1 and Sentinel 2

Cited by 7 publications

References 20 publications

Estimation of the Indonesian drought based on phenology vegetation analysis of maize

Estimation of the Indonesian drought based on phenology vegetation analysis of maize

Downscaling of vegetation indices from multi-satellite throughout-season maize

A Critical Analysis of the Challenges of Collaborative Governance in Climate Change Adaptation Policies in Bandar Lampung City, Indonesia

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