•  
  •  
 

Abstract

Space-based earth observation technology applicable to forest inventory and monitoring is well known in the scientific community. High-resolution satellite images form an important data source for forest mapping and change detection at regional and national scales. The value of forest change information derived from remote sensing data is significantly enhanced if this information is integrated into a spatially explicit geographic information system. Satellite-based rapid assessment was conducted to measure spatiotemporal changes in Batudulang forest over the years. The general approach to quantify change in the spatial aspect of the forest involved change detection using moderate-resolution imaging spectro-radiometer satellite-based normalized difference vegetation index. A further top–down approach using high-resolution data from Google Earth was used to complement the mapping and specifically identify areas of spatial, temporal, and thematic change on a grid basis (1×1 sq. km.). Results from change detection studies revealed that the forest area changed from 287 sq. km. in 2008 to 189 sq. km. in 2016. Visual image interpretation of high-resolution Google Earth images (2001–2013) analyzed 63 grids, of which 30 showed significant change and 33 exhibited no change.

Bahasa Abstract

Pemantauan Berbasis Satelit dari Perubahan Spatiotemporal di Hutan Batudulang, Sumbawa, Indonesia. Teknologi pengamatan bumi berbasis luar angkasa dapat digunakan untuk inventarisasi dan pemantauan hutan, dan cukup dikenal di komunitas ilmiah. Citra satelit resolusi tinggi membentuk sumber data penting untuk pemetaan hutan dan deteksi perubahan di skala regional dan nasional. Manfaat dari data penginderaan jarak jauh (remote sensing) terhadap perubahan hutan dapat ditingkatkan lebih baik jika diintegrasikan ke dalam sistem informasi geografis spasial eksplisit (GIS). Sebagai bagian dari proses untuk mengukur perubahan spatiotemporal di hutan Batudulang selama ini, pengukuran cepat berbasis satelit dilakukan. Pendekatan umum mengukur perubahan dalam tata ruang hutan yang melibatkan deteksi perubahan menggunakan Moderate Resolution Imaging Spectrometerradiometer (MODIS) berbasis satelit dan indeks dari Normalized Difference Vegetation Index (NDVI). Pendekatan atas-bawah lanjutan menggunakan data resolusi tinggi dari Google Earth digunakan untuk melengkapi pemetaan dan secara khusus mengidentifikasi area perubahan spasial, temporal dan tematik berdasarkan grid (1×1 km2). Hasil dari studi deteksi perubahan mengungkapkan bahwa kawasan hutan telah berubah dari 287 km2 di 2008 menjadi 189 km2 di 2016. Interpretasi citra visual resolusi tinggi dari pencitraan Google Earth (2001–2013) menganalisis 63 grid, dimana 30 grid menunjukkan perubahan yang signifikan dan sisanya tidak ada perubahan yang teramati.

References

FAO/UNDP. National Conservation Plan for Indonesia. 4: Nusa Tenggara. Bogor: FAO/UNDP (Field Report 44). 1982.

K.A. Monk, Y. de Fretes, G. Lilley, The ecology of Nusa Tenggara and Maluku. Periplus, Singapore, 1997.

RePPProT. The Land Resources of Indonesia: A national Overview, ODA/Ministry of Transmigration, Jakarta, 1989.

Indonesia (Urban City Population): Provinces & Cities-Statistics & Maps on City Population. 2014. Citypopulation.de. Retrieved 15 September, 2014.

J. MacKinnon, R. Beudels, A. Robinson, M.B. Artha. Feasibility Studies of Potential Reserves of Sumba Island (Food and Agriculture Organization/ United Nations Development Programme field report). Directorate of Nature Conservation, Bogor, Indonesia, 1982.

WWF (World Wide Fund for Nature). Integration of Conservation and Development in Nusa Tenggara, Unpublished report, Jakarta, Indonesia, 1993.

P. Jepson, O.A. Suparman Rais, W. Raharjaningtrah. Evaluation of Protected Area Network for the Conservation of Forest Values on Sumba Island, East Nusa Tenggara. Birdlife International; Directorate General of Forest Protection and Nature Conservation, Department of Forestry, Jakarta, Indonesia, 1996.

M.J. Duggin, P.F. Hopkins, R.H. Brock. “A survey of remote sensing methodology for forest inventory,” In Proceedings, State-of-the-Art Methodology for Forest Inventory: A Symposium. USDA Forest Service, Pacific Northwest Research Station, General Technical Report, PNW-GTR-263, 1990, p. 267.

D.G. Leckie. Advances in remote sensing technologies for forest surveys and management, Can. J. of For. Res. 20 (1990) 464.

B. DeVries, M. Herold. The Science of Measuring, Reporting and Verication (MRV) In: Lyster R, MacKenzie C, McDermott C, (ed.), Law, Tropical Forests and Carbon: The Case of REDD+. Cambridge Univ Press, Cambridge, 2013, p. 151–183.

R. DeFries, F. Achard, S. Brown, M. Herold, D. Murdiyarso, B. Schlamadinger, Environ. Sci. Policy. 10/4 (2007) 385. doi: 10.1016/j.envsci.2007.01.010.

V. De Sy, M. Herold, F. Achard, G.P. Asner, A. Held, J. Kellndorfer. Synergies of multiple remote sensing data sources for REDD+ monitoring. Current Opinion in Environmental Sustainability, Elsevier, New York, 2012, p. 696-706

E. Tomppo, T. Gschwantner, M. Lawrence, R.E. McRoberts, K. Gabler, K. Schadauer. National Forest Inventories. Pathways for Common Reporting European Science Foundation. Dordrecht, Netherlands, 2010, p.541–553.

J. Lynch, M. Maslin, H. Balzter, M. Sweeting, Nature. 496 (2013) 293 doi: 10.1038/496293a.

G.P. Asner, Int. J. Remote. Sensing. 22/18 (2001) 3855.

J.T. Ker, M. Ostrovsky, Trends. Ecol. Evol. 18/6 (2003) 299.

W. Turner, S. Spector, N. Gardiner, M. Fladeland, E. Sterling, M. Steininger, Trends Ecol. Evol. 16 (2003) 306.

E.S. Kasischke, S. Goetz, M.C. Hansen, M. Ozdogan, J. Rogan, S. Ustin, C.E. Woodcock. Temperate and Boreal Forests. In S. Ustin (Ed.), Manual of Remote Sensing. Vol. 4: Remote Sensing for Natural Resource Management and Environmental Monitoring. John Wiley and Sons, New York, 2004, p. 848.

P.A. Jacobberger-Jellison, Int. J. Remote Sensing. 15 (1994) 3138.

A.J. Peters, B.C. Reed, M.D. Eve, K.M. Havstad, J. Arid. Environ. 24 (1993) 305.

B. DeVries, J. Verbesselt, L. Kooistra, M. Herold, Remote. Sensing. Environ. 161 (2015) 107.

P. Kauppi, J. Ausubel, J. Fang, A. Mather, R. Sedjo, P. Waggoner. Returning forests analyzed with the forest identity. Proceedings of the National Academy of Sciences of the United States of America, Europe PMC. 103 (2006) 17574. doi: 10.1073/pnas.0608343103

J. Rockstrom, W. Steffen, K. Noone, A Persson, S. Chapin, E. Lambin, T. Lenton, M. Scheffer, C. Folke, H. Schellnhubber, B. Nykvist, C. de Wit, T. Hughes, S. van der Leeuw, H. Rodhe, S. Sorlin, P. Synder, U. Costanza, Svedin, M. Falkenmark, L. Karlberg, R. Corell, V. Fabry, J. Hansen, B. Walker, D. Liverman, K. Richardson, P. Crutzen, J. Foley, Nature. 461 (2006) 472. doi: 10.1038/461472a.

J. Miettinen, C. Shi, S. Liew, Glob. Change Biol. 17/7 (2011) 2261.

J. Miettinen, C. Shi, W. Tan, S. Liew, Remote. Sensing. Lett. 3/1 (2012) 11.

F. Achard, R. Beuchle, P. Mayaux, H. Stibig, C. Bodart, A. Brink, S. Carboni, B. Desclee, F. Donnay, H. Eva, A. Lupi, R. Rasi, R. Seliger, D. Simonetti, Glob. Change Biol. 20/8 (2014) 2540.

K. Yan, T. Park, G. Yan, Z. Liu, B. Yang C. Chen, R. Ramakrishna, Nemani, Y. Knyazikhin, R.B. Myneni, Remote Sens. 8 (2016) 460. doi: 10.3390/rs8060460.

S. Nurwahidah, H.D. Dwidjono, L.W. Rahayu, Int. J. Comput. Appl. 126 (2015) 36.

P. Mayaux, P. Holmgren, F. Achard, H. Eva, H.J. Stibig, A. Branthomme, Trans. R. Soc. B 360 (2005) 373.

M.C. Hansen. Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data. Proceedings of the National Academy of Sciences. National Academy Sciences, New York, 2008 p. 9439–44.

A.A. Nawir, Murniati, L. Rumboko. Forest Rehabilitation in Indonesia: Where to After More Than Three Decades? CIFOR, Bogor, 2007, p. 269.

D. Holmes. Deforestation in Indonesia: A Review of the Situation in Sumatra, Kalimantan and Sulawesi. The World Bank, Jakarta, 2000, p. 38.

L. Tacconi. Illegal Logging: Law Enforcement, Livelihoods and Timber Trade. Cromwell Press, Trowbridge, 2007.

FWI/GWF, The State of the Forest-Indonesia (Bogor: Forest Watch Indonesia) (Washington DC: Global Forest Watch–World Resource Institute) (available at www. globalforestwatch.org/common/ indonesia/sof.indonesia. english.low.pdf), 2002.

B. Mark, M. Hansen, F. Stolle, P. Potapov, B.A. Margono, B. Adusei. Forest cover loss in Sumatra and Kalimantan, Indonesia: Accurate maps and annual trends derived from time-series analysis of multi-resolution optical remote sensing. Environ. Res. Lett. 6 (2011) 014010.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.