HUBUNGAN PENDUGAAN CADANGAN KARBON PADA TEGAKAN JATI MENGGUNAKAN PENGINDERAAN JAUH DAN PENGUKURAN LAPANGAN
This study was conducted to find out the potential of Landsat 8 OLI / TIRS image to estimate carbon stock and the leverage from image recording scene to its result from estimated carbon stock afterward. This research was conducted at KHDTK Cemoro-Modang. Retrieval and data processing conducted from...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Brawijaya
2018-01-01
|
Series: | JTSL (Jurnal Tanah dan Sumberdaya Lahan) |
Online Access: | https://jtsl.ub.ac.id/index.php/jtsl/article/view/192 |
_version_ | 1797319384828477440 |
---|---|
author | Izzuddin Al Qassam Cahyo Prayogo |
author_facet | Izzuddin Al Qassam Cahyo Prayogo |
author_sort | Izzuddin Al Qassam |
collection | DOAJ |
description | This study was conducted to find out the potential of Landsat 8 OLI / TIRS image to estimate carbon stock and the leverage from image recording scene to its result from estimated carbon stock afterward. This research was conducted at KHDTK Cemoro-Modang. Retrieval and data processing conducted from January to April 2017. There were various data taken during field observation such as diameter at breast height (DBH) in each plot sample, the sample plot represents the Age Class (KU) of teak (Tectona Grandis L) with KU 1, KU2, KU3, KU4, KU5, and KU6. The study used a single channel band of Near Infrared (NIR / Band 5), Shortwave Infrared (SWIR / Band 6 and 7 from Landsat 8 OLI / TIRS and also some vegetation indexes which are Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), Transformed Difference Vegetation Index (TDVI), Perpendicular Vegetation Index (PVI), Soil Adjusted Vegetation Index (SAVI), Optimized Soil Adjusted Vegetation Index (OSAVI), Visible Atmospherically Resistant Index (VARI) and Green Normalized Difference Vegetation Index (GNDVI). The results of this study showed that Landsat 8 OLI / TIRS image data could be use to estimated carbon stock in landscape of teak stand (Tectona Grandis L), with the model of the best equation is TDVI vegetation index. The equation of the regression test is Y = -3590,557 x + 4033,062 where Y is the carbon value and x is the spectral value of TDVI |
first_indexed | 2024-03-08T04:06:07Z |
format | Article |
id | doaj.art-e8ffe66851314c02b2dda08fca0954ca |
institution | Directory Open Access Journal |
issn | 2549-9793 |
language | English |
last_indexed | 2024-03-08T04:06:07Z |
publishDate | 2018-01-01 |
publisher | Universitas Brawijaya |
record_format | Article |
series | JTSL (Jurnal Tanah dan Sumberdaya Lahan) |
spelling | doaj.art-e8ffe66851314c02b2dda08fca0954ca2024-02-09T05:47:27ZengUniversitas BrawijayaJTSL (Jurnal Tanah dan Sumberdaya Lahan)2549-97932018-01-0151HUBUNGAN PENDUGAAN CADANGAN KARBON PADA TEGAKAN JATI MENGGUNAKAN PENGINDERAAN JAUH DAN PENGUKURAN LAPANGANIzzuddin Al Qassam0Cahyo PrayogoSoil Science Department, Faculty of Agriculture, University of Brawijaya, IndonesiaThis study was conducted to find out the potential of Landsat 8 OLI / TIRS image to estimate carbon stock and the leverage from image recording scene to its result from estimated carbon stock afterward. This research was conducted at KHDTK Cemoro-Modang. Retrieval and data processing conducted from January to April 2017. There were various data taken during field observation such as diameter at breast height (DBH) in each plot sample, the sample plot represents the Age Class (KU) of teak (Tectona Grandis L) with KU 1, KU2, KU3, KU4, KU5, and KU6. The study used a single channel band of Near Infrared (NIR / Band 5), Shortwave Infrared (SWIR / Band 6 and 7 from Landsat 8 OLI / TIRS and also some vegetation indexes which are Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), Transformed Difference Vegetation Index (TDVI), Perpendicular Vegetation Index (PVI), Soil Adjusted Vegetation Index (SAVI), Optimized Soil Adjusted Vegetation Index (OSAVI), Visible Atmospherically Resistant Index (VARI) and Green Normalized Difference Vegetation Index (GNDVI). The results of this study showed that Landsat 8 OLI / TIRS image data could be use to estimated carbon stock in landscape of teak stand (Tectona Grandis L), with the model of the best equation is TDVI vegetation index. The equation of the regression test is Y = -3590,557 x + 4033,062 where Y is the carbon value and x is the spectral value of TDVIhttps://jtsl.ub.ac.id/index.php/jtsl/article/view/192 |
spellingShingle | Izzuddin Al Qassam Cahyo Prayogo HUBUNGAN PENDUGAAN CADANGAN KARBON PADA TEGAKAN JATI MENGGUNAKAN PENGINDERAAN JAUH DAN PENGUKURAN LAPANGAN JTSL (Jurnal Tanah dan Sumberdaya Lahan) |
title | HUBUNGAN PENDUGAAN CADANGAN KARBON PADA TEGAKAN JATI MENGGUNAKAN PENGINDERAAN JAUH DAN PENGUKURAN LAPANGAN |
title_full | HUBUNGAN PENDUGAAN CADANGAN KARBON PADA TEGAKAN JATI MENGGUNAKAN PENGINDERAAN JAUH DAN PENGUKURAN LAPANGAN |
title_fullStr | HUBUNGAN PENDUGAAN CADANGAN KARBON PADA TEGAKAN JATI MENGGUNAKAN PENGINDERAAN JAUH DAN PENGUKURAN LAPANGAN |
title_full_unstemmed | HUBUNGAN PENDUGAAN CADANGAN KARBON PADA TEGAKAN JATI MENGGUNAKAN PENGINDERAAN JAUH DAN PENGUKURAN LAPANGAN |
title_short | HUBUNGAN PENDUGAAN CADANGAN KARBON PADA TEGAKAN JATI MENGGUNAKAN PENGINDERAAN JAUH DAN PENGUKURAN LAPANGAN |
title_sort | hubungan pendugaan cadangan karbon pada tegakan jati menggunakan penginderaan jauh dan pengukuran lapangan |
url | https://jtsl.ub.ac.id/index.php/jtsl/article/view/192 |
work_keys_str_mv | AT izzuddinalqassam hubunganpendugaancadangankarbonpadategakanjatimenggunakanpenginderaanjauhdanpengukuranlapangan AT cahyoprayogo hubunganpendugaancadangankarbonpadategakanjatimenggunakanpenginderaanjauhdanpengukuranlapangan |