APLIKASI MODEL FOREST CANOPY DENSITY CITRA LANDSAT 7 ETM UNTUK MENENTUKAN INDEKS LUAS TAJUK (CROWN AREA INDEX) DAN KERAPATAN TEGAKAN (STAND DENSITY) HUTAN RAWA GAMBUT DI DAS SEBANGAU PROVINSI KALIMANTAN TENGAH

https://doi.org/10.22146/mgi.15383

R.M. Sukarna R.M. Sukarna(1*)

(1) 
(*) Corresponding Author

Abstract


Memantau kegiatan melalui berbagai transformasi indeks vegetasi hutan alam dari citra satelit, seperti Selisih Normalized Vegetation Index (NDVI) telah dilakukan, tetapi tidak memberikan hasil yang maksimal. Model Forest Canopy Density (FCD) melalui algoritma integrasi Lanjutan vegetasi Index (AVI), Baresoil Index (BI), Indeks Suhu (TI) dan Shadow Index (SI) merupakan metode klasifikasi yang efektif untuk memantau perubahan di hutan tropis di Asia seperti India, Myanmar, Malaysia dan Indonesia. Penelitian ini bertujuan untuk mempelajari struktur variasi kepadatan berdiri rumput di hutan rawa Kalimantan Tengah melalui model aplikasi FCD Citra Land duduk 7 ETM. Hasil analisis menunjukkan bahwa indeks penentuan hutan kanopi yang luas (Indeks atau Cai di Area Crown) Model melalui vegetasi Density (VD) integrasi dan BI AVI tidak memberikan hasil yang optimal. Kelemahan dapat diintegrasikan dengan model dengan model yang VD Scaled
Bayangan Index (SSI) integrasi nilai SI dan TI. Hasil integrasi VD dan SSI menghasilkan model Forest Canopy Density (FCD), yang digunakan untuk menentukan nilai dari header indeks lebar (Indeks atau Cai di Area Crown) dan variasi kepadatan berdiri (Stand Density atau SD). Hasil penelitian ini menyimpulkan bahwa antara FCD dan Cai memiliki model hubungan non-linear (peringkat polinomial 2) dengan R = 0,87. Pada hubungan antara Cai dan model SD memiliki hubungan dengan linier R = 0,97. Dengan model dasar diketahui hubungan matematis antara yang paling optimal dan FCD adalah pada nilai utama Cai = 5 m2 / ha.


Keywords


Vegetasi Density Scaled Bayangan Indeks, Forest Canopy Density, Indeks di Area Crown, Stand Density



References

Boehm, H.D.V. , Siegert, F. and Liews, S.C. 2002. Remote Sensing and Aerial Survey of Vegetation Cover Change in Lowland Peat Swamp of Central Kalimantan during the 1997 and 2002 Fires. Proceeding of the International Symposium on Land Management and Biodiversity in Southeast Asia. Research Centre for Biology, the Indonesia Institute of Sciences, Bogor, Indonesia.

Boehm, H.D.V., Jauhiainen J. and Limin S., 2006. Peat Land Topography derived from 30m resolution SRTM-X-SAR satellite images for Sebangau catchments and Kahayan area, Kalampangan, Central Kalimantan. Paper on International Symposium on Nature and Land Management of Tropical Peat land in South East Asia in Bogor, Indonesia. 20.–21. September 2006.

Bouman, B. A. M., 1992. Accuracy of Estimating The Leaf Area Index From Vegetation Indeces Derived from Crop Reflectance Characteristics, a Simulation Study. International Journal of Remote Sensing Vol 13, No, 16 pp. 3069 – 3084.

De Carolis, C. and Amodeo, P. 1976. Basic Problems in Reflectance and Emittance Properties of Vegetation pp 69–79. In Remote Sensing Applications in Agriculture and Hydrology 1980. Rotterdam.

Doruska, P.F. and Mays J.E. 1998. Crown Profile Modeling of Loblolly Pine by Nonparametric Regression Analysis. Forest Science Vol. 44 No.3. The Society of American Forester. pp 445 - 453.

Hirakawa, K dan Kurashige, 2000. Preliminary Study of Landforms along the Kahayan River and the Uppermost Area of the Sebangau River with Special Reference to the Tropical Peat Formation. Annual Report 1999-2000 Environmental Conservation and Land Use Management of Wetland Ecosystem in Southeast Asia.

Hoffer, R.M. 1978. Biological and Physical Considerations in Applying Computer Aided Analysis Techniques to Remote Sensor Data. pp 227 – 289. In: The Quantitative Approach, McGraw-Hill International Book Company New York.

ITTO / JOFCA, 2003. FCD Mapper Versi-2 User Guide, International Tropical Timber Organization and Japan Overseas Forestry Consultants Association.

Liang, S., 2004. Quantitative Remote Sensing of Land Surfaces. John Wiley and Sons, Canada.

Micheal, A. W., Hall, R.J., Coops, N.C., Franklin, S.E. 2004. High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization. Bioscience Vol. 54, Iss 6; Washington, pg 511, 11 p

Mueller, D. and Ellenberg, H, 1974. Aims and Methods of Vegetation Ecology.

John Wiley & Sons, New York. Nemani, R. L., Pierce, L. S., Running, and Band, L., 1993. Forest Ecosystem Processes at the Watershed Scale: Sensitivity to Remotely-sensed Leaf Area Index estimates. International Journal of Remote Sensing Vol. 14, No. 13, pp

-2534.

Page, S.E., Rieley, J.O., Shotyk, O.W., Weiss, D., 1999. Interdependence OG Peat and Vegetation in a Tropical Peat Swamp Forest. Biological Sciences Vol 34 No. 1391pp 1885 – 1897.

Purevdorj, Ts. Tateishi, R., Ishiyama, T., Honda, Y. 1998.Relationships between Percent Vegetation Cover and Vegetation Indices. International Journal of Remote Sensing Vole 19 No. 18. pp 3519 – 3535.

Rikimaru, A. 1996. LANDSAT TM Data Processing Guide for Forest Canopy Density Mapping and Monitoring Model pp 1 – 8. ITTO Workshop on Utilization of Remote Sensing in Site Assessment and Planting of Loggedover Forest. Bangkok.

Rikimaru, A and Miyatake, S. 1997. Development of Forest Canopy Mapping and Monitoring Model using Indices of Vegetation, Bare soil and Shadow pp. Proceeding of the 18th Asian Conference on Remote Sensing, E6. 1 – 6, Kuala Lumpur, Malaysia.

Rikimaru, A., Miyatake, S., Dugan, P. 1999. Sky is the Limit for Forest Management Tool. ITTO Tropical Forest Update.

Roy P.S., Rikimaru, A., Miyatake, S. 1997. Biophysical Spectral Response Modeling Approach for Forest Density Stratification. Proceeding of the 18th Asian Conference on Remote Sensing, pp JSB 1– 6. Kuala Lumpur,Malaysia.

RePPProT, 1985. Laporan Tinjauan Hasil Studi Tahap I Kalimantan Tengah. Direktorat Bina Program Direktorat Jenderal Penyiapan Pemukinan Departeman Transmigrasi, Jakarta.

Shimada, S., Takahahi, H., Limin, S., 2002. Prediction of the Hydro period and Phonology a Peat Swamp Forest in Central Kalimantan using MODIS Data.

Proceeding of the International Symposium on Land Management and Biodiversity in Southeast Asia. Research Centre for Biology, the Indonesia Institute of Sciences, Bogor, Indonesia.

Sudjana, 2001. Teknis Analisis Regresi dan Korelasi bagi Para Peneliti. Tarsito, Bandung.

Takahashi, H., Usup, A., Hayasaka, H., and Limin S., 2003, Estimation of Ground Water Level in a Peat Swamp Forest as an Index of Peat/Forest Fire. In: Proceedings of the International Symposium on Land Management and Biodiversity in Southeast Asia held at Bali, Indonesia, 17–20 September 2002, pp. 311–314.

Wardoyo, 2002. Kondisi Hutan. Makalah Seminar Peranan Pengginderaan Jauh dan SIG dalam Bidang Kehutanan. Balai Pemantapan Kawasan Hutan Wilayah V Kalimantan Tengah dan Selatan, Banjarbaru. 18 hal Whitmore, T.C. 1985. Tropical Rain Forest of the Far ast. Second Edition. Oxford University Press.



DOI: https://doi.org/10.22146/mgi.15383

Article Metrics

Abstract views : 847 | views : 2069

Refbacks

  • There are currently no refbacks.




Copyright (c) 2016 Majalah Geografi Indonesia

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


 

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 30e/KPT/2018

Volume 31 No 2 the Year 2017 for Volume 35 No 2 the Year 2021

ISSN  0215-1790 (print) ISSN 2540-945X  (online)

 

website statistics Statistik MGI