Correcting topographic effect on Landsat-8 images: an evaluation of using different DEMs in Indonesia

Umarhadi, Deha Agus; Danoedoro, Projo

doi:10.1117/12.2549109

Cited by 9 publications

(13 citation statements)

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“…Berdasarkan capaian penelitian Kurniawan & Danoedoro (2017) dan Umarhadi & Danoedoro (2019), maka penelitian ini bertujuan untuk membandingkan metode koreksi radiometric topografi C Correction dan SCS+C (Sun Canopy Sensor + C). Data DEM yang digunakan yang tersedia gratis di Indonesia yaitu DEMNAS.…”

Section: Pendahuluanunclassified

“…Data DEM yang digunakan yang tersedia gratis di Indonesia yaitu DEMNAS. DEMNAS dipilih karena memiliki hasil yang lebih baik secara visual dan statistik dibandingkan SRTM dan peta RBI (Umarhadi & Danoedoro, 2019 (Riano et al, 2003) dengan menggunakan persamaan:…”

Section: Pendahuluanunclassified

“…Hal ini dapat dilihat jelas masih ada piksel yang lebih terang (overcorrection) pada lereng yang menghadap sinar matahari. Hasil ini senada dengan penelitian Vázquez-Jiménez et al (2017), Dong et al (2020), Soenen et al (2005) (Umarhadi & Danoedoro, 2019).…”

Section: Hasil Dan Pembahasanunclassified

“…Keberhasilan koreksi topografi dapat dilihat melalui nilai standar deviasi dari masing-masing saluran dan dibandingkan (Gao et al, 2014;Umarhadi & Danoedoro, 2019). Semakin berkurang nilai standard deviasi pada koreksi topografi maka semakin berkurangnya efek iluminasi matahari pada lereng (Hantson & Chuvieco, 2011;Gao et al, 2014;Umarhadi & Danoedoro, 2019). Tabel perbandingan nilai standar deviasi diambil dari jumlah sampel 212 sehingga nilai yang dibandingkan adalah nilai untuk objek vegetasi (Tabel 2).…”

Section: Hasil Dan Pembahasanunclassified

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Perbandingan Metode Koreksi Topografi Pada Citra Satelit Landsat 8 Di Wilayah Gunung Telomoyo, Jawa Tengah

Widhaningtyas

Putra²,

Fariz

2020

Jurnal Geografi

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Kondisi topografi mempengaruhi perbedaan besarnya energi sinar matahari yang ditangkap, dipantulkan balik dan diterima sensor penginderaan jauh. Hal ini membuat perlu dilakukan koreksi radiometri topografi pada proses pra pengolahan citra. Metode koreksi topografi terhitung banyak sedangkan penelitian terkait koreksi topografi ternilai cukup jarang dilakukan di Indoensia. Tujuan penelitan ini adalah membandingkan metode koreksi topografi. Adapun wilayah studi dalam penelitian ini adalah wilayah Gunung Telomoyo.Data yang digunakan dalam penelitian ini adalah citra satelit Landsat 8 dan DEMNAS. Adapun metode koreksi topografi yang diujikan dalam penelitian ini adalah metode koreksi topografi C Correction dan SCS+C.Hasil dari penelitian menunjukkan bahwa data DEMNAS dapat digunakan sebagai sumber data untuk koreksi radiometrik topografi. Metode koreksi topografi yang paling baik pada penelitian ini adalah metode SCS+C dilihat dari kenampakan visual dan memiliki nilai standar deviasi terendah dibandingkan dengan metode C Correction. Sehingga untuk wilayah dengan dominasi tutupan lahan hutan maka metode SCS+C bisa direkomendasikan. Koreksi topografi berguna dalam peningkatan akurasi perhitungan biomassa dan estimasi karbon di dataran tinggi menggunakan data penginderaan jauh.

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Section: Pendahuluanunclassified

Section: Hasil Dan Pembahasanunclassified

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Perbandingan Metode Koreksi Topografi Pada Citra Satelit Landsat 8 Di Wilayah Gunung Telomoyo, Jawa Tengah

Widhaningtyas

Putra²,

Fariz

2020

Jurnal Geografi

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“…Shuttle Radar Topography Mission (SRTM) 1 arc-second was used as a Digital Elevation Model (DEM) [9]. Since the topographic condition depicted on the Landsat image is the surface elevation, the use of the Digital Surface Model (DSM) from SRTM is more appropriate than the terrain model [18]. SRTM DEM provides widely digital elevation data covering 60º Northern to 56º Southern Latitude acquired on 11-22 February 2000.…”

Section: A Satellite Imagerymentioning

confidence: 99%

The Effect of Topographic Correction on Canopy Density Mapping Using Satellite Imagery in Mountainous Area

Umarhadi¹,

Danoedoro²

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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One of the main factors contributing to radiometric distortion on remote sensing data is a topographic effect, but it can be reduced by applying the topographic correction. This study identifies the effect of topographic correction on canopy density mapping in the Menoreh Mountains, Indonesia. Topographic correction methods examined in this research are C-Correction, Minnaert, and Sun-Canopy-Sensor+C (SCS+C). Canopy density estimation was approached using vegetation indices, i.e., Normalized Difference Vegetation Index (NDVI), Modified Soil Adjusted Vegetation Index (MSAVI), Aerosol Free Vegetation Index (AFRI) 1.6, and AFRI 2.1 derived from Landsat-8 OLI imagery. We evaluated the performance of topographic correction by visual and statistical analysis before comparing the accuracy of canopy density estimation of different vegetation indices and correction methods. The results showed that topographic normalization could increase the accuracy of canopy density mapping. The most significant improvement is the model using MSAVI, which increases by 1.207% using the Minnaert method to reach 86.692% accuracy. Meanwhile, NDVI, AFRI 1.6, and AFRI 2.1 have less significant improvement with the maximum increase of 0.241%, 0.057%, and 0.032% using the SCS+C method, reaching the accuracy of 88.980%, 83.303%, and 82.308%, respectively. The accuracies were slightly improved since the algorithms have already reduced the effect of topography, which are categorized as ratio vegetation indices. SCS+C is the best topographic correction method because of not only the appropriate assumption of canopy normalization but also its consistency and better accuracy in canopy density estimation, among other methods.

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Assessment of forest carbon stocks for REDD+ implementation in the muyong forest system of Ifugao, Philippines

Avtar

Tsusaka

Herath³

2020

Environ Monit Assess

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Forests hold significant potential for carbon sequestration and climate change mitigation.Forest biomass estimation is vital for sustainable forest management, providing critical input data for implementing the United Nations Reducing Emissions from Deforestation and forest Degradation-plus (REDD+) mechanism. This study investigates the total carbon poolsaboveground biomass (AGB), belowground biomass (BGB), forest floor biomass, and soil carbon-using field-based information in the muyong forest management system, which is native to Ifugao in the Philippines. This study reveals that a difference may be observed between the total carbon stock of the private woodlots (muyong) and that of the communal forest (bilid).The results indicate that the bilid forest has trees with small diameter at breast height (DBH) and high tree density in contrast to the muyong, which has trees with high DBH and low tree density.The average carbon stock per unit area is higher in muyong (150.8 tC/ha) than in bilid (126.1 tC/ha). These findings are valuable in determining whether Ifugao's muyong forest system should be included under the REDD+ framework. Human mediation and management helps forests to sequester a greater amount of carbon than they would without human intervention. Implementation of REDD+ should promote Ifugao's ecosystem and biodiversity conservation and agroforestry practices in addition to protecting traditional agricultural practices and livelihoods in relation to rice terraces.

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Correcting topographic effect on Landsat-8 images: an evaluation of using different DEMs in Indonesia

Cited by 9 publications

References 10 publications

Perbandingan Metode Koreksi Topografi Pada Citra Satelit Landsat 8 Di Wilayah Gunung Telomoyo, Jawa Tengah

Perbandingan Metode Koreksi Topografi Pada Citra Satelit Landsat 8 Di Wilayah Gunung Telomoyo, Jawa Tengah

The Effect of Topographic Correction on Canopy Density Mapping Using Satellite Imagery in Mountainous Area

Assessment of forest carbon stocks for REDD+ implementation in the muyong forest system of Ifugao, Philippines

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