Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City

Atiqi, Randhi; Dimyati, Muhammad; Gamal, Ahmad; Pramayuda, Rizki

doi:10.3390/land11081320

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…There are two major rivers namely Ciliwung and Cisadane watersheds. The total area of Depok City is 19,998.49 hectares or 199.98 km 2 [16].…”

Section: Methodsmentioning

confidence: 99%

Mapping the position and attitudes of stakeholders towards the utilization of the black soldier fly using MACTOR Tools: A study in Depok City, West Java, Indonesia

Zulkifli,

Jayanegara,

Noorachmat

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Depok City is located between the cities of Jakarta and Bogor. The population of the city has reached more than 2,000,000 people. This has consequences on the issue of waste, especially food waste. Food waste responsible for 8–10% of global anthropogenic greenhouse gas emissions. To support sustainable development, it is very important to reduce the amount of food loss. In 2019, food waste reached 931 million tons of food worldwide. Retailers and households are the biggest contributors to this waste at 13% and 61% respectively. This food waste exacerbates economic, environmental and social problems. The black soldier fly (BSF) insect (Hermetia illucens) can overcome the negative impact on the environment caused by food waste and at the same time can provide a sustainable source of protein. BSF larvae can digest food waste and convert it into biomass. However, the application of the use of the black soldier is not yet widely known in the City of Depok. For that, we need a comprehensive approach that involves various stakeholders. One of the most important elements in the successful application of the black soldier fly to the waste problems in Depok City is stakeholders mapping.

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“…There are two major rivers namely Ciliwung and Cisadane watersheds. The total area of Depok City is 19,998.49 hectares or 199.98 km 2 [16].…”

Section: Methodsmentioning

confidence: 99%

Mapping the position and attitudes of stakeholders towards the utilization of the black soldier fly using MACTOR Tools: A study in Depok City, West Java, Indonesia

Zulkifli,

Jayanegara,

Noorachmat

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…The total area of Indonesia spans between the latitudes 11 The elevation of the country varies from 0 m to 3505 m. Being a developing country, it experiences the rapid process of urbanization. Today, around 50% of the Indonesian population lives in cities and towns, and it is expected that by 2045 this percentage will increase by 20% [23]. This forthcoming trend of urbanization can induce significant growth in building energy consumption for cooling, thereby causing the growth of GHG emissions and affecting the region's climate.…”

Section: Study Areamentioning

confidence: 99%

City-Wise Assessment of Suitable CMIP6 GCM in Simulating Different Urban Meteorological Variables over Major Cities in Indonesia

Bhanage

Lee

Kubota

et al. 2023

Climate

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This study evaluates the performance of 6 global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for simulating temperature, precipitation, wind speed, and relative humidity over 29 cities in Indonesia. Modern-Era Retrospective Analysis for Research Applications (MERRA-2) was considered as reference data to assess the city-wise performance of surface air temperature, precipitation, wind speed, and relative humidity simulated by the CMIP6 GCMs during 1980–2014. Six statistical measures were computed in this process (mean annual, seasonal amplitude, mean annual bias, root mean square error, correlation coefficient, and standard deviation). For 29 cities, the mean annual values of surface air temperature, precipitation, wind speed, and relative humidity obtained from the GCMs range between 290 to 302 K, 100 cm to 450 cm, 1 to 6 m/s, and 70 to 94%, respectively. The correlation coefficient between the GCMs and the surface air temperature (precipitation) reanalysis dataset ranges from 0.3 to 0.85 (−0.14 to 0.77). The correlation coefficient for wind speed (relative humidity) varies from 0.2 to 0.6 and is positive in some cases (0.2 to 0.8). Subsequently, the relative error that combines the statistical measurement results was calculated for each city and meteorological variable. Results show that for surface air temperature and precipitation, the performance of TaiESM was outstanding over the 10 or more cities. In contrast, for wind speed and relative humidity, NOR-MM and MPI-HR were the best over 7 and 19 cities, respectively. For all the meteorological variables, the performance of AWI was found to be worst over all the cities. The outcomes of this study are essential for climate-resilience planning and GCM selection while performing downscaling experiments. It will also be useful for producing updated national climate change projections for each city in Indonesia and providing new insights into the climate system.

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“…Over the past few decades, the use of remote sensing data, This work was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) under grants n° 2019/05268-8 and 2020/12481-7; and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) under grant n° 309734/2022-3. (Corresponding author: Renato César dos Santos) such as aerial and satellite images, and point clouds derived from photogrammetric and LiDAR systems, have been extensively explored [2]- [13] in applications related to building detection. Dos Santos et al [14] suggest that airborne LiDAR data is a suitable alternative due to its ability to obtain a 3D point cloud directly through the integration of positioning, inertial, and LiDAR sensors, without requiring a photogrammetric matching process.…”

Section: Introductionmentioning

confidence: 99%

Robust Building Detection in Urban Environments from Airborne LiDAR Data: A Geometry-Based Approach

dos Santos,

Galo

2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Building detection plays an important role in urban applications and is usually a prerequisite for contour extraction and building modelling. Over the last decades, airborne LiDAR data have been used due to its capability to represent terrestrial surfaces and objects with high geometric quality. In this study, it is proposed a novel building detection approach based on geometric/morphological object characteristics. The proposed strategy is divided into three main stages: i) selection of candidate points based on height; ii) building detection using geometric feature (omnivariance) and K-means clustering algorithm; and iii) refinement based on majority filter and mathematical morphology. The experiments were conducted using airborne LiDAR datasets with varying point density acquired in different urban environments. The results indicated the robustness of the proposed approach for all datasets and environment complexities, presenting average Fscore around 96%. In addition, the results pointed out that point density can impact the building detection, producing better results for higher point density datasets. Compared with related approaches, the proposed strategy result in better performance in terms of completeness, producing an omission error rate smaller than 3%.

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Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City

Cited by 3 publications

References 19 publications

Mapping the position and attitudes of stakeholders towards the utilization of the black soldier fly using MACTOR Tools: A study in Depok City, West Java, Indonesia

Mapping the position and attitudes of stakeholders towards the utilization of the black soldier fly using MACTOR Tools: A study in Depok City, West Java, Indonesia

City-Wise Assessment of Suitable CMIP6 GCM in Simulating Different Urban Meteorological Variables over Major Cities in Indonesia

Robust Building Detection in Urban Environments from Airborne LiDAR Data: A Geometry-Based Approach

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