Akbari, Muhammad Figo Gaea (2023) Korelasi Kadar Klorofil dan Parameter Multispectral Imaging Satelit Sentinel-2 pada Hutan Mangrove di Kalimireng, Gresik Menggunakan Partial-Least-Squares (PLS) Stepwise Regression. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pengamatan vegetasi menggunakan penginderaan jauh telah diaplikasikan, salah satunya untuk mengetahu status kesehatan suatu vegetasi. Kandungan klorofil dapat digunakan sebagai indikator untuk mengetahui produktivitas dan status kesehatan suatu tanaman. Kawasan ekosistem hutan mangrove di Sungai Kalimireng, Gresik memiliki densitas spesies yang tinggi. Penelitian ini bertujuan untuk mengetahui kandungan klorofil spesies mangrove di dua stasiun pada kawasan hutan mangrove Kalimireng menggunakan metode non-destruktif dengan SPAD-502 Plus Chlorophyll Meter dan NDVI dari pengamatan satelit Sentinel-2. Data kandungan klorofil yang diperoleh dari dua metode tersebut selanjutnya dianalisis korelasinya. Hasil pengukuran SPAD dari 17 spesies mangrove memiliki nilai yang berkisar antara 40.5 hingga 67.3, atau berkisar antara 31.2 hingga 78.2 microgram/cm2. Setelah melakukan pengamatan menggunakan citra Sentinel-2 dan diolah menggunakan Google Earth Engine (GEE), diperoleh rata-rata nilai NDVI yang pada stasiun 1 sebesar 0.526 sedangkan pada stasiun 2 sebesar 0.546. Dengan nilai koefisien determinasi (R2) dari model red-edge position memiliki rata-rata dibawah 0.1. Hasil tersebut mengindikasikan bahwa tidak terdapat korelasi antara pengukuran kandungan klorofil menggunakan SPAD-502 Plus Chlorophyll Meter dan data NDVI dari pengolahan citra satelit Sentinel-2.
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Vegetation indices using remote sensing has been applied for one of which is to know the health of a certain vegetation. Chlorophyll content can be used as an indicator to find out productivity and health status of a certain plant. Mangrove forest ecosystem area in Kalimireng River, Gresik has a high species density of mangroves. This research aims to kow the chlorophyll content of mangrove species in two stations in the Kalimireng mangrove forest area with non-destructive method using SPAD-502 Plus Chlorophyll Meter and NDVI from the Sentinel-2 satelite. Chlorophyll content data that has been acquired from those two methods are then analyzed for their correlation. The result of SPAD measurement from 17 different mangrove species has a value ranging from 40.5 to 67.3, or 31.2 to 78.2 microgram/cm2. After observing using Sentinel-2 imaging and processed using Google Earth Engine (GEE), the average value of NDVI are acquired on station 1 is 0.526 and on station 2 is 0.546. With the coefficient of determination (R2) of the red-edge position model having an average below 0.1. The result indicates that there are no correlation between chlorophyll content measurements using SPAD-502 Plus Chlorophyll Meter and NDVI data from Sentinel-2 satellite image processing.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Mangrove, NDVI, Penginderaan jauh, SPAD |
| Subjects: | Q Science Q Science > QH Biology Q Science > QH Biology > QH541 Ecology |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Biology > 46201-(S1) Undergraduate Thesis |
| Depositing User: | Muhammad Figo Gaea Akbari |
| Date Deposited: | 09 Aug 2023 12:40 |
| Last Modified: | 09 Aug 2023 12:40 |
| URI: | http://repository.its.ac.id/id/eprint/104494 |
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