DETECTION OF GREEN OPEN SPACE USING COMBINATION INDEX OF LANDSAT 8 DATA (CASE STUDY: DKI JAKARTA)

Sayidah Sulma, Jalu Tejo Nugroho, Any Zubaidah, Hana Listi Fitriana, Nanik Suryo Haryani

Abstract

Spatial information about the availability and presence of green open space in urban areas to be up to date and transparent was a necessity. This study explained the technique to get the green open spaces of spatial information quickly using an index approach of Landsat 8. The purpose of this study was to evaluate the ability of the method to detect the green open spaces, especially using Landsat 8 with a combination of several indices, namely Normalized Difference Build-up Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Build-up Index (NDBI) and Normalized Difference Bareness Index (NDBaI) with a study area of Jakarta. This study found that the detection and identification of green open space classes used a combination of index and band gave good results with an accuracy of 81%.

Keywords

green open space; NDVI; NDWI; NDBI; NDBaI; Landsat 8

Full Text:

PDF

References

Ahmad A., Aboobaider BM, Isa MSM, (2014), Temporal Changes in Urban Green Space Based on Normalized Difference Vegetation Index. Applied Mathematical Sciences 8(55): 2743-2751.doi:10.12988/ams.2014. 43223.

Chen XL, Zhao HM, Li PX, Yin ZY, (2006), Remote Sensing Image-based Analysis of the Relationship Between Urban Heat Island and Land use/cover changes. Remote Sensing of Environment 104(2):133-146. doi:10.1016/j.rse.2005.11.016.

Chen ZM, Babiker IS, Chen ZX, Komaki K., Mohamed MAA, Kato K., (2004), Estimation of Interannual Variation in Productivity of Global Vegetation using NDVI data. International Journal of Remote Sensing 25(16):3139−3150. doi: 10.1080/0143116032000160435.

Faryadi S., Taheri S., (2009), Interconnection of Urban Green Spaces and Environmental Quality of Tehran. International Journal of Environmental Research 3(2):199-208. ISSN:1735-6865.

Febrianti N., Parwati S., (2014), Ruang Terbuka Hijau di DKI Jakarta Berdasarkan Analisis Spasial dan Spektral Data Landsat 8. Proceeding of Seminar Nasional Penginderaan Jauh, Bogor.

Febrianti N., Pasaribu JM, Sulma S., (2015), Analisis Ruang Terbuka Hijau di DKI Jakarta Menggunakan Data SPOT 6. Proceeding of PIT MAPIN, Bogor.

Gao B., (1996), NDWI-A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water From Space. Remote Sensing Environment 58(3): 257-266. doi:10.1016/S0034-4257(96)00067-3.

Ministry of Public Works, (2008), Peraturan Meneteri Pekerjaan Umum Nomor: 05/PRT/M/2008 tentang Pedoman Penyediaan dan Pemanfaatan Ruang Terbuka Hijau di Kawasan Perkotaan. Jakarta.

Molidena E., As-syakur AR, (2012), Karakteristik Pola Spektral Vegetasi Hutan dan Tanaman Industri berdasarkan Data Penginderaan Jauh. Proceeding of PIT MAPIN XIX, Makassar.

NASA, (2015), Measuring Vegetation (NDVI & EVI). Cited in http:// earthobservatory. nasa.gov/Features/MeasuringVegetation/measuring_vegetation_2.php [23 Maret 2015].

Purevdorj TS, Tateishi R., Ishiyama T., Honda Y., (1998), Relationships between Percent Vegetation Cover and Vegetation Indices. International Journal of Remote Sensing, 19(18):3519−3535. doi: 10.1080/014311 698213795

Purwanto AD, Asriningrum W., Winarso G., Parwati E., (2014), Analisis Sebaran dan Kerapatan Mangrove Menggunakan Citra Landsat 8 di Segara Anakan, Cilacap. Proceeding of Seminar Nasional Penginderaan Jauh. Bogor.

Senanayake IP, Welivitiya WDDP, Nadeeka PM, (2013), Remote Sensing Based Analysis of Urban Heat Islands with Vegetation Cover in Colombo City, Sri Lanka using Landsat-7 ETM+ data. Urban Climate 5:19-35. doi:10.1016/j.uclim.2013.07.004.

Shetty MA, Somashekar RK, (2016), A Temporal Appraisement of Urban Green Space in Different Zones of Bengaluru. Journal of Environmental Science, Computer Science and Engineering & Technology 5(1): 178-186.

Sulma S., Nugroho JT, Zubaidah A., Fitriana AZ, Haryani NS, Hidayat, (2015), Klasifikasi Tutupan Lahan dan Ruang Terbuka Hijau Menggunakan Kombinasi Indeks dari Data Landsat 8 (Studi Kasus: DKI Jakarta). Proceeding of Seminar Nasional Penginderaan Jauh. Bogor.

Xu H., (2007), Extraction of Urban Built-up Land Features from Landsat Imagery Using a Thematic oriented Index Combination Technique. Photogrammetric Engineering & Remote Sensing 73(12):1361-1391.

Zhao HM, Chen XL, (2005), Use of Normalized Difference Bareness Index in Quickly Mapping Bare Areas from TM/ETM+. Geoscience and Remote Sensing Symposium, 3(25–29), 1666−1668. doi: 10.1109/IGARSS.2005.1526319.

DOI: http://dx.doi.org/10.30536/j.ijreses.2016.v13.a2712

Refbacks

  • There are currently no refbacks.