Landsat 8 of Polewali, West Sulawesi

Finally, LDCM now handed over from NASA to USGS, and now formally become Landsat 8.

However, we need to concern about any algorithm we have been built before, because the technical details of Landsat 8 quiet different with Landsat 5 or 7 ETM+. For instant, the band composition of Landsat 8 are as follow:

Nine spectral bands resolution 30 m, including a panchromatic band:
Band 1 Visible (0.43 – 0.45 µm)
Band 2 Visible (0.450 – 0.51 µm)
Band 3 Visible (0.53 – 0.59 µm)
Band 4 Near-Infrared (0.64 – 0.67 µm)
Band 5 Near-Infrared (0.85 – 0.88 µm)
Band 6 SWIR 1 (1.57 – 1.65 µm)
Band 7 SWIR 2 (2.11 – 2.29 µm)
Band 8 Panchromatic (0.50 – 0.68 µm), resolution 15 m
Band 9 Cirrus (1.36 – 1.38 µm) >> useful to identify cirrus cloud as explained here

Thermal Infrared Sensor (TIRS) with resolution 100 m
Two spectral bands:
Band 10 TIRS 1 (10.6 – 11.19 µm)
Band 11 TIRS 2 (11.5 – 12.51 µm)

The thermal bands are very useful for monitor the earth surface temperature, in this link you can see the application of these bands for volcano.

For any details about Landsat 8 documentation and information, please click this link

The following images are Landsat 8 of Polewali’s Regency coastline in West Sulawesi, Indonesia. Acquisition date May 20, 2013

Natural Color

Natural color produced from 432  band combination
Natural color produced from 432 band combination

Vegetation

To highlight healthy vegetation we apply 542 band combination
To highlight healthy vegetation we apply 542 band combination

Water, wet agricultural field and urban

754 band combination has capacity to highlight water, wetland and urban environment
754 band combination has capacity to highlight water, wet agricultural field and built-up area environment. Water displayed in black. Wet agricultural field shown in blue color, and built-up area represented as magenta. This combination is also useful for coral reef environment as seen in the right-bottom image

Cirrus cloud

Cirrus cloud
Cirrus cloud identified when we employ band 9 of Landsat 8. Cirrus cloud is thin that they will not be visible in a typical image (see natural color image and another above images)

Thermal

Surface temperature derived from tehrmal band 10 of Landsat 8. The algorithm are available here: http://landsat.usgs.gov/Landsat8_Using_Product.php
Surface temperature derived from thermal band 10 of Landsat 8. The algorithm are available here: http://landsat.usgs.gov/Landsat8_Using_Product.php. The value of every variables are specific to each band, so please check the metadata file (_MTL.txt)

The acquisition time was 11:18:02 pm local time. However, it seems that surface temperature derived from band 10 yields overestimated result.

Fusion with Panchromatic

Fusion tehcnique employed: Gram-Schmidt spectral sharpening with Cubic convolution resampling

Fusion image (image enhancement or image transformation)
Fusion image (image enhancement or image transformation)
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5 thoughts on “Landsat 8 of Polewali, West Sulawesi

  1. Ass.Wr, Wb, Mohon info apakah landsat 8 sudah dapat dibeli di LAPAN atau agen penjualan data satelit lain yg dpt menjual data dengan cepat, saya tinggal di Jakarta, saya selama ini masih menggunakan landsat 7, dan mohon saran anda kombinasi band pd landsat 8 yang paling mudah u/ membatasi areal rawa yg tertutup hutan ( Hutan rawa) apakah kombinasi band 754 seperti yang anda contohkan merupakan kombinasi yg paling baik, apakah ada alternatif kombinasi lainnya ?. selama ini kami kesulitan mendeliniasi areal rawa dng kedalam air rata2 1,5 meter mengingat tutupan vegetasi diatas rawa cukup lebat, demikian terima kasih.

  2. Waalaykumsalam wr wb,
    Terima kasih atas pertanyaannya Pak, berikut ini rekomendasi dari saya:
    1. Data Landsat 8 dapat diunduh gratis di link ini, sebelumnya lakukan registrasi terlebih dahulu. http://earthexplorer.usgs.gov/
    2. Tidak ada yang paling baik Pak, silahkan dicoba Wetness transformation menggunakan TCT Algoritma untuk Landsat 7, untuk highlighted rawa.
    3. Indicator terbaik yang sensitif untuk lahan basah adalah kombinasi band 4 dan band 5 dari Landsat 8. Silahkan menggunakan kombinasi band tersebut.
    4. Transformasi citra, seperti MNF transformation, fusion, dan texture analysis perlu dicoba untuk mendapatkan hasil terbaik.
    5. Terakhir, hasil akhir interpretasi tetap membutuhkan verifikasi di lapangan, dukungan masyarakat sangat diperlukan dalam hal ini, karena mereka yang paling mengetahui kondisi lingkungannya

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