Effects of Land Cover Change on Surface Runoff Using GIS and Remote Sensing: A Case Study Duhok Sub-basin

Hameed, Hasan Mohammed; Faqe, Gaylan Rasul; Rasul, Azad

doi:10.1007/978-3-030-21344-2_9

Cited by 4 publications

(2 citation statements)

References 46 publications

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“…Perubahan tutupan lahan di DAS Duhok-Iraq dengan pertumbuhan kota (urban growth) pada tahun 1990 dan 2016 meningkat dari 10% menjadi 70%, berdampak terhadap volume limpasan meningkat dari 12% menjadi 36%, sementara lahan vegetasi menurun dari 47% menjadi 14% pada saat yang sama (Hameed., Faqe., & Rasul, 2020). Perubahan LU/LC menunjukkan hubungan linier dengan besarnya limpasan, dan faktor paling signifikan yang mempengaruhi limpasan adalah perbedaan LU hutan, pertanian, dan pemukiman (Astuti et al, 2019).…”

Section: Limpasan Puncakunclassified

Implementasi Rencana Induk Pengembangan Kawasan Sentul City Terhadap Limpasan Puncak dan Konstribusi Banjir

2021

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The purpose of this study is to create a peak runoff model in urban SC areas based on existing land use/land cover (LU / LC) and a master plan. To calculate peak runoff (PRO) using the rational method. To find out the current LU / LC through existing SPOT-6 image analysis in 2017, using supervised classification method with an estimation of gamma distribution parameters with the maximum likelihood method using QGIS 2.8 software, SAGA GIS, and Arc -GIS 10.4.1. Based on the results of image analysis obtained twelve types of LU, which can be grouped into three types of LC, namely 33% of developed land, 65% of vegetated land (RTH), and 2% of blue open land (RTB). The analysis shows that the implementation of the master plan increases PRO. With the increase in PRO will contribute to flooding in the downstream areas, consequently the developer must be responsible for reducing the PRO.

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Section: Limpasan Puncakunclassified

Implementasi Rencana Induk Pengembangan Kawasan Sentul City Terhadap Limpasan Puncak dan Konstribusi Banjir

2021

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“…Studying the temporal and spatial evolution of cities can serve as an indicator of urban development and environmental quality [1][2][3][4]. The expansion of impervious surfaces destroys ecosystems and affects the migration of organisms [5]. Therefore, precise measurements of urban impervious surface area distributions and impervious surface coverage are of great significance for environmental protection studies [6], as well as natural resource management to ensure food, water, and energy supplies.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Index-Based Methods for Impervious Surface Mapping from Landsat-8 to Cities in Dry Climates; A Case Study of Buraydah City, KSA

Almohamad

Alshwesh

2023

Sustainability

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The natural landscape is fast turning into impervious surfaces with the increase in urban density and the spatial extent of urbanized areas. Remote sensing data are crucial for mapping impervious surface area (ISA), and several methods for ISA extraction have been developed and implemented successfully. However, the heterogeneity of the ISA spectra and the high similarity of the ISA spectra to those of bare soil in dry climates were not adequately addressed. The objective of this study is to determine which spectral impervious surface index best represents impervious surfaces in arid climates using two seasonal Landsat-8 images. We attempted to compare the performance of various impervious surface spectral Index for ISA extraction in dry climates using two seasonal Landsat-8 data. Specifically, nine indices, i.e., band ratio for the built-up area (BRBA), built-up area extraction method (BAEM), visible red near infrared built-up index (VrNIR-BI), normalized ratio urban index (NRUI), enhanced normalized difference impervious surfaces index (ENDISI), dry built-up index (DBI), built-up land features extraction index (BLFEI), perpendicular impervious surface index (PISI), combinational biophysical composition index (CBCI), and two impervious surface binary methods (manual method and ISODATA unsupervised classification). According to the results, PISI and CBCI combined with the manual method had the best accuracy with 88.5% and 88.5% overall accuracy (OA) and 0.76 and 0.81 kappa coefficients, respectively, while DBI combined with the manual method had the lowest accuracy with 75.37% OA and 0.56 kappa coefficients. PISI is comparatively more stable than the other approaches in terms of seasonal sensitivity. The ability of PISI to discriminate ISA from soil and vegetation accounts for much of its good performance. In addition, spring is the ideal time of the year for mapping ISA from Landsat-8 images because the impervious surface is generally less likely to be confused with bare soil and sand at this time of year. Therefore, this study can be used to determine spectral indices for studying ISA extraction in drylands in conjunction with binary approaches and seasonal effects.

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Evaluation of soil-vegetation interaction effects on water fluxes revealed by the proxy of model parameter combinations

Lotz

Sun

Xue

2023

Environ Monit Assess

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Effects of Land Cover Change on Surface Runoff Using GIS and Remote Sensing: A Case Study Duhok Sub-basin

Cited by 4 publications

References 46 publications

Implementasi Rencana Induk Pengembangan Kawasan Sentul City Terhadap Limpasan Puncak dan Konstribusi Banjir

Implementasi Rencana Induk Pengembangan Kawasan Sentul City Terhadap Limpasan Puncak dan Konstribusi Banjir

Evaluation of Index-Based Methods for Impervious Surface Mapping from Landsat-8 to Cities in Dry Climates; A Case Study of Buraydah City, KSA

Evaluation of soil-vegetation interaction effects on water fluxes revealed by the proxy of model parameter combinations

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