Ainiyah, Khusniatul (2023) Studi Keanekaragaman dan Kesehatan Hutan Mangrove dengan Teknik Analisis Vegetasi dan Remote Sensing di Muara Kalimireng, Gresik, Jawa Timur. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Hutan mangrove merupakan salah satu jenis ekosistem utama yang tumbuh pada lahan basah alami di sepanjang pantai tropis dan subtropis, dan memainkan peran penting dalam ekosistem estuaria. Pada sekitar hutan mangrove di Sungai Kalimireng, Gresik terdapat berbagai tekanan antropogenik, seperti deforestasi, konversi hutan mangrove menjadi area tambak ikan dan garam, serta terdapat aktivitas industri. Adanya ancaman antropogenik ini dapat menurunkan kualitas dan kuantitas hutan mangrove yang berpengaruh pada peran fungsi hutan mangrove. Penelitian ini menggunakan metode analisis vegetasi dan penginderaan jauh melalui citra satelit sentinel-2. Analisis untuk mengetahui kerapatan dan kesehatan jenis mangrove di lapangan menggunakan analisis vegetasi dan algoritma Normalized Difference Vegetation Index (NDVI). Berdasarkan hasil penelitian ditemuan 17 spesies mangrove dan didominasi oleh Avicennia marina, memiliki kerapatan jenis sangat padat (2325 ind/ha) dengan nilai basal area sebesar 10,83 m2/ha. Hasil klasifikasi kesehatan hutan mangrove berdasarkan nilai NDVI dari luas area penelitian 116.4 ha, tingkat kesehatan mangrove berada pada tingkat kesehatan normal hingga baik yaitu dengan luas masing-masing 12.2 ha dan 12.43 ha. Nilai koefisien korelasi NDVI citra dengan kerapatan vegetasi di lapangan sebesar 0,75 yang menunjukkan hubungan korelasi kuat.
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Mangrove forests are one of the main types of ecosystems that grow in natural wetlands along tropical and subtropical coasts, and play an important role in estuary ecosystems. Around the mangrove forest on the Kalimireng River, Gresik there are various anthropogenic pressures, such as deforestation, conversion of mangrove forests into fish and salt ponds, and industrial activity. The existence of this anthropogenic threat can reduce the quality and quantity of mangrove forests which can affect the role of mangrove forest functions. This research uses vegetation analysis and remote sensing methods via Sentinel-2 satellite imagery. Analysis to determine the density and health of mangrove species in the field uses vegetation analysis and the Normalized Difference Vegetation Index (NDVI) algorithm. Based on the research results, 17 mangrove species were found and dominated by Avicennia marina, which had a very dense density (2325 ind/ha) with a basal area value of 10.83 m2/ha. The results of the classification of the health of mangrove forests are based on the NDVI value of the area of the study area of 116.4 ha, the health level of the mangroves is at normal to good health levels with an area of 12.2 ha and 12.43 ha respectively. The NDVI image correlation coefficient with the density of vegetation in the field is 0.75 which indicates a strong correlation.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Analisis Vegetasi, Mangrove, NDVI, Penginderaan Jauh, dan Sentinel-2; Mangrove, NDVI, Remote Sensing, Vegetation Analysis, and Sentinel-2. |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing Q Science > QH Biology > QH541 Ecology Q Science > QH Biology > QH75 Nature conservation. Landscape protection. Biodiversity conservation. Endangered species and ecosystems (General). Habitat conservation. Ecosystem management. Conservation biology |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Biology > 46201-(S1) Undergraduate Thesis |
| Depositing User: | Khusniatul Ainiyah |
| Date Deposited: | 04 Oct 2023 01:33 |
| Last Modified: | 04 Oct 2023 01:33 |
| URI: | http://repository.its.ac.id/id/eprint/103045 |
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