Nugraha, Arry Prasetya (2024) Analisis Kesehatan Tanaman Reklamasi Dengan Metode NDVI Menggunakan Foto Udara Multispektral Di Areal Pascatambang (Studi Kasus: Pit Ata Selatan, PT Arutmin Indonesia–Tambang Batulicin, Kalimanatan Selatan). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penambangan batubara yang dilakukan di Indonesia umumnya menggunakan sistem penambangan terbuka (open pit), sehingga berdampak pada perubahan tutupan lahan, perubahan bentuk bentang alam, hilangnya flora dan fauna. Untuk itu diharuskan menerapkan kaidah pertambangan yang baik (Good Mining Practice) pada setiap prosesnya agar memastikan keseimbangan fungsi alam dan fungsi sosial lahan pascatambang. Salah satu upaya yang dilakukan untuk memulihkan kondisi lahan pascatambang adalah dengan melakukan revegetasi. Kegiatan revegetasi di lahan bekas tambang membutuhkan waktu, biaya dan tenaga yang tidak sedikit, sehingga diperlukan monitoring dan evaluasi terhadap vegetasi yang ditanam. Permasalahan yang sering dihadapi saat menggunakan data citra satelit adalah banyaknya area yang tertutup awan dikarenakan pulau Kalimantan memiliki iklim tropis dengan curah hujan, kelembapan, dan suhu yang tinggi sepanjang tahun. Sehingga menggunakan data foto udara multispektral menjadi salah satu solusi untuk melakukan monitoring kesehatan tanaman dengan metode Normalized Difference Vegetation Index (NDVI). Hasil analisis NDVI pada tanaman reklamasi menghasilkan indeks nilai tertinggi 0,876 dan nilai terendah 0.014. Dengan kriteria tanaman sangat sehat seluas 12,47 Ha (71,5%), kriteria tanaman sehat seluas 4,95 Ha (28,4%), dan kriteria tidak sehat seluas 0,02 Ha (0,1%). Untuk mendukung analisis NDVI dilakukan pengambilan sampel data in-situ tutupan kanopi/tajuk pohon dan jumlan pohon pada plot sampel ukuran 20x20 meter. Teknik penentuan jumlah sampel mengunakan rumus Slovin yang menghasilkan 44 sampel. Hubungan NDVI dengan persentase tutupan kanopi/tajuk pohon menunjukkan hasil koefisien determinasi r2 = 0.72 dan korelasi Pearson 0,85 mengindikasikan adanya hubungan yang kuat antara kedua variabel. Hubungan NDVI dengan jumlah pohon menunjukkan hasil koefisien determinasi r2 = 0.70 dan korelasi Pearson 0,85 mengindikasikan adanya hubungan yang kuat antara kedua variable.
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Coal mining carried out in Indonesia generally uses an open pit mining system, which has an impact on changes in land cover, landscape shape, and the loss of flora and fauna. For this reason, it is required to apply good mining practices in each process to ensure the balance of the natural and social functions of post-mining land. One of the efforts made to restore the condition of post-mining land is revegetation. Revegetation activities on ex-mining land require a lot of time, money, and energy, so monitoring and evaluation of the planted vegetation are needed. The problem that is often faced when using satellite imagery data is that many areas are covered by clouds because the island of Kalimantan has a tropical climate with high rainfall, humidity, and temperature throughout the year. Therefore, using multispectral aerial photography data is one solution to monitoring plant health using the Normalized Difference Vegetation Index (NDVI) method. The results of the NDVI analysis on reclaimed plants produced the highest index value of 0.876 and the lowest value of 0.014. The criteria for very healthy plants encompassed 12.47 ha (71.5%), for healthy plants, 4.95 ha (28.4%), and for unhealthy plants, 0.02 ha (0.1%). To support the NDVI analysis, in-situ data sampling of tree canopy cover and number of trees was conducted on a 20x20 meter sample plot. The Slovin formula was used to determine the number of samples, resulting in 44 samples. The relationship between NDVI and the percentage of tree canopy cover showed a coefficient of determination of r2 = 0.72 and a Pearson correlation of 0.85, indicating a strong relationship between the two variables. The relationship between NDVI and the number of trees showed a coefficient of determination of r2 = 0.70 and a Pearson correlation of 0.85, indicating a strong relationship between the two variables.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | NDVI, reklamasi pascatambang, fotogrametri |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis |
| Depositing User: | Arry Prasetya Nugraha |
| Date Deposited: | 29 Jul 2024 12:59 |
| Last Modified: | 29 Jul 2024 12:59 |
| URI: | http://repository.its.ac.id/id/eprint/108675 |
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