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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Geography Jurnal Ilmu Lingkungan BIOTROPIA - The Southeast Asian Journal of Tropical Biology TELKOMNIKA (Telecommunication Computing Electronics and Control) Geoplanning : Journal of Geomatics and Planning Majalah Geografi Indonesia JTSL (Jurnal Tanah dan Sumberdaya Lahan) Forum Geografi Indonesian Journal of Science and Technology JURNAL ILMIAH GEOMATIKA Jurnal Geografi Jurnal Penginderaan Jauh Indonesia Eduvest - Journal of Universal Studies
Projo Danoedoro
Fakultas Geografi Universitas Gadjah Mada, Yogyakarta, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Mathematics Neuroscience Social Sciences Veterinary Other

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Journal : Forum Geografi

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Modeling of Percentage of Canopy in Merawu Catchment Derived From Various Vegetation Indices of Remotely Sensed Data Sulistyo, Bambang; Gunawan, Totok; Hartono, H; Danoedoro, Projo
Forum Geografi Vol 27, No 1 (2013): July 2013
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v27i1.5075

Abstract

The research was aimed at studying Percentage of Canopy mapping derived from various vegetation indices of remotely-sensed data int Merawu Catchment. Methodology applied was by analyzing remote sensing data of Landsat 7 ETM+ image to obtain various vegetation indices for correlation analysis with Percentage of Canopy measured directly on the field (PTactual) at 48 locations. These research used 11 (eleven) vegetation indices of remotely-sensed data, namely ARVI, MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, RVI, DVI and PVI. The analysis resulted models (PTmodel) for Percentage of Canopy mapping. The vegetation indices selected are those having high coefficient of correlation (>=0.80) to PTactual. Percentage of Canopy maps were validated using 39 locations on the field to know their accuracies. Percentage of Canopy map (PTmodel) is said to be accurate when its coefficient of correlation value to PTactual is high (>=0.80). The research result in Merawu Catchment showed that from 11 vegetation indices under studied, there were 6 vegetation indices resulted high accuracy of Percentage of Canopy maps (as shown in the value of coefficient of correlation as >=0.80), i.e. TVI, VIF, NDVI, TSAVI, RVI dan SAVI, while the rest, namely ARVI, PVI, DVI, EVI and MSAVI, have r values of < 0.80.
Developing an Extraction Method of Urban Built-Up Area Based on Remote Sensing Imagery Transformation Index Hidayati, Iswari Nur; Suharyadi, R; Danoedoro, Projo
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i1.5907

Abstract

Studying urban areas using remote sensing imagery has become a challenge, both visually and digitally. Supervised classification, one of the digital classification approaches to differentiate between built-up and non-built-up area, used to be leading in digital studies of urban area. Then the next generation uses index transformation for automatic urban data extraction. The extraction of urban built-up land can be automatically done with NDBI although it has one limitation on separating built-up land and bare land. The previous studies provide opportunities for further research to increase the accuracy of the extraction, particularly using index transformation. This study aims to obtain the maximum accuracy of the extraction by merging several indices including NDBI, NDVI, MNDWI, NDWI, and SAVI. The merging of the indices is using four stages: merging of two indices, three indices, four indexes and five indices. Several operations were experimented to merge the indices, either by addition, subtraction, or multiplication. The results show that merging NDBI and MNDWI produce the highest accuracy of 90.30% either by multiplication (overlay) or reduction. Application of SAVI, NDBI, and NDWI also gives a good effect for extracting urban built-up areas and has 85.72% mapping accuracy.
Modeling of Percentage of Canopy in Merawu Catchment Derived From Various Vegetation Indices of Remotely Sensed Data Bambang Sulistyo; Totok Gunawan; H Hartono; Projo Danoedoro
Forum Geografi Vol 27, No 1 (2013): July 2013
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v27i1.5075

Abstract

The research was aimed at studying Percentage of Canopy mapping derived from various vegetation indices of remotely-sensed data int Merawu Catchment. Methodology applied was by analyzing remote sensing data of Landsat 7 ETM+ image to obtain various vegetation indices for correlation analysis with Percentage of Canopy measured directly on the field (PTactual) at 48 locations. These research used 11 (eleven) vegetation indices of remotely-sensed data, namely ARVI, MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, RVI, DVI and PVI. The analysis resulted models (PTmodel) for Percentage of Canopy mapping. The vegetation indices selected are those having high coefficient of correlation (=0.80) to PTactual. Percentage of Canopy maps were validated using 39 locations on the field to know their accuracies. Percentage of Canopy map (PTmodel) is said to be accurate when its coefficient of correlation value to PTactual is high (=0.80). The research result in Merawu Catchment showed that from 11 vegetation indices under studied, there were 6 vegetation indices resulted high accuracy of Percentage of Canopy maps (as shown in the value of coefficient of correlation as 0.80), i.e. TVI, VIF, NDVI, TSAVI, RVI dan SAVI, while the rest, namely ARVI, PVI, DVI, EVI and MSAVI, have r values of 0.80.
Co-Authors Alfian Pujian Hadi Alfian Pujian Hadi Ananda, Irvan Nurrahman Arundina, Angela Belladova Aryaguna, Prama Ardha Bambang Sulistyo Bowo Susilo Cera, Fela Pritian Christian S. Imburi Danang Sri Hadmoko Diana Wisnu Wardani Erisa Ayu Waspadi Putri Febrianti, Ni Kadek Oki Fela Pritian Cera Ferad Puturuhu H Hartono H Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hasibuan, Algi Variski Iswari Nur Hidayati Junun Sartohadi Karen Slamet Hardjo Kustiyo Kustiyo Lewi Ristiyono Marfai, Muh Aris Moh Yasir Muhammad Dimyati Muhammad Kamal Mulabbi, Andrew Ni Kadek Oki Febrianti Nur Mohammad Farda Nursida Arif Pramaditya Wicaksono Pramaditya Wicaksono, Pramaditya Prima Widayani Ratih Dewanti Dimyati Ratih Dewanti Dimyati Ratih Dewanti Dimyati Retnadi Heru Jatmiko Rochmat Martanto Sanjiwana Arjasakusuma Shafira Himayah Sigit Heru Murti Sri Retno Murdiyati Sudaryatno Sudaryatno Sudaryatno Sudaryatno Suharyadi, R Totok Gunawan Totok Gunawan Umarhadi, Deha Agus Yanuar Adji Nugroho Yasir, Moh Zuharnen Zuharnen Zulfajri, Zulfajri