Landslide susceptible areas identification using IDW and Ordinary Kriging interpolation techniques from hard soil depth at middle western Central Java, Indonesia

Yanto, Yanto; Apriyono, Arwan; Santoso, Purwanto Bekti; Sumiyanto,

doi:10.1007/s11069-021-04982-5

Cited by 21 publications

(5 citation statements)

References 29 publications

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“…Inverse distance weighting (IDW) and Kriging interpolation are examples of widely used spatial interpolation methods. In some cases, the performance of the Kriging technique outperforms that of the IDW [21]- [23], so we will use Kriging interpolation in this research for evaluation. For each region, the test was applied in several scenarios: daily, monthly, three-month period, and six-month period.…”

Section: Methodsmentioning

confidence: 99%

Generating himawari-8 time series data for meteorological application

Hadiyanto

Wikantika²,

Prihatmanto³

et al. 2023

IJEECS

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Optical remote sensing images have been widely used for temporal monitoring. The data is acquired by sensors on satellites with better spatial resolution compared to in-situ measurements by meteorological stations. The problem with utilizing optical images is the cloud, which blocks the ground and near-ground information collected by satellites. To overcome this problem, especially when dealing with thermal bands, we propose a procedure including aggregation and spatial interpolation methods to obtain time series data over a region. There is still no reference to selecting the data period to calculate the aggregate value and apply spatial interpolation. An assessment is proposed by applying Yamane’s formula in the time domain and thresholding the number of pixels in the spatial domain. Himawari-8 data was utilized and collected on an hourly basis over Java Island. This algorithm is applied to a sequence of periodic datasets to obtain a time series of aggregate data for meteorological applications. The result of this study is a recommendation to use three-month periods of data over the eastern part of Java.

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Section: Methodsmentioning

confidence: 99%

Generating himawari-8 time series data for meteorological application

Hadiyanto

Wikantika²,

Prihatmanto³

et al. 2023

IJEECS

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“…Inverse distance weighting (IDW), a common and convenient spatial interpolation method, is chosen to generate the 3D urban surface for the 3D structure abstraction (Yanto & Santoso, 2022). Its basic ideas are that the unknown value is influenced more by nearby control values and the degree of influence (weight) of points on each other is directly proportional to the inverse of the distance between the points.…”

Section: Abstraction Of 3d Urban Structurementioning

confidence: 99%

A new hierarchical analysis framework of building heights: Towards a more intuitive understanding of 3D urban structure

Yang,

Zhou,

Yang

et al. 2023

Transactions in GIS

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Understanding the 3D spatial structure of a city is increasingly essential for addressing various environmental and management issues, surpassing the importance of traditional 2D analysis. However, existing studies neglect the diversity of building height and still lack a clear description of 3D urban structure. This article proposes a new framework to uncover the 3D urban structure. Firstly, kernel density is employed to reveal the hierarchical spatial structure of buildings and the contour tree method is improved to quantitatively measure the spatial diversity and complexity. Then, the 3D urban structure is abstracted by spatial interpolation after feature filtration. Finally, this framework is applied to the central area of Chengdu City, revealing that: (1) Spatial structures of buildings with different heights exhibit significant diversity, location preference, and complexity; and (2) A globally “depression” 3D urban structure with low center—high periphery is obviously identified. This framework provides an effective way to reveal the 3D urban structure in a more intuitive and clearer way from various disordered urban buildings, which can be transferable to other cities and further facilitate sustainable planning and development of cities.

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“…Sehingga data sampel yang digunakan harus bersifat stasioner, tidak tergantung suatu trend, dan tidak terdapat kasus outlier [12]. Jenis semivariogram tipe Gaussian adalah yang paling sesuai untuk hujan di Pulau Jawa [13], [14]. Berikut merupakan rumus yang digunakan dalam metode ini [15]:…”

Section: Metodeunclassified

Pemetaan Sebaran Hujan Rancangan Menggunakan Interpolasi Kriging di DAS Kali Lamong

Yosafat Pulung Aji Wardana,

Donny Harisuseno,

Sri Wahyuni

2023

jtresda

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Luapan Kali Lamong kerap kali mengakibatkan banjir. Hal tersebut memiliki dampak yang sangat merugikan terutama bagi masyarakat yang tinggal di DAS Kali Lamong. Permasalahan banjir tersebut biasanya diatasi dengan pembangunan infratruktur sumber daya air. Penanganan terhadap banjir dapat lebih mudah bila telah tersedia informasi hujan rancangan dalam bentuk peta isohiet. Penelitian ini bertujuan menghasilkan peta isohiet untuk memudahkan perencanaan atau analisis hidrologi lainnya tanpa menguji data dan menghitung ulang hujan rancangan. Metode perhitungan hujan rancangan menggunakan analisis frekuensi distribusi Gumbel dan Log Pearson III Kriging dengan periode ulang 2, 5, 10, 25, 50, dan 100 tahun yang telah teruji kesesuaiannya. Peta tersebut dibangun dengan metode interpolasi spasial Kriging. Hasil pemetaan hujan rancangan tersebut dievaluasi berdasarkan parameter NSE dan RSR dengan kriteria hasil yang memuaskan hingga sangat baik. Kemudian peta tersebut juga dibandingkan dengan peta hujan rancangan terbitan Kementerian PU Dirjen SDA dan dihasilkan kesesuaian sebesar 25,95 %.

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Landslide susceptible areas identification using IDW and Ordinary Kriging interpolation techniques from hard soil depth at middle western Central Java, Indonesia

Cited by 21 publications

References 29 publications

Generating himawari-8 time series data for meteorological application

Generating himawari-8 time series data for meteorological application

A new hierarchical analysis framework of building heights: Towards a more intuitive understanding of 3D urban structure

Pemetaan Sebaran Hujan Rancangan Menggunakan Interpolasi Kriging di DAS Kali Lamong

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