Accuracy and Spatial Pattern Assessment of Forest Cover Change Datasets in Central Kalimantan

https://doi.org/10.22146/ijg.16469

Sanjiwana Arjasakusuma(1*), Uji Astrono Pribadi(2), Gilang Aria Seta(3)

(1) Faculty of Geography, Gadjah Mada University
(2) Center for International Forestry Research (CIFOR)
(3) 
(*) Corresponding Author

Abstract


The accurate information of forest cover change is important to measure the amount of carbon release and sink. The newly-available remote sensing based products and method such as Daichi Forest/Non-Forest (FNF), Global Forest Change (GFC) datasets and Semi-automatic Claslite systems offers the benefit to derive these information in a quick and simple manner. We measured the accuracy by constructing area-proportion error matrix from 388 random sample points and assessed the consistency analysis by looking at the spatial pattern of deforestation and regrowth from built-up area, roads, and rivers from 2010 – 2015 in Katingan district, Central Kalimantan. Accuracy assessment showed that those 3 datasets indicate low to medium accuracy level in which the highest accuracy was achieved by Claslite who produced 71 % ± 5 % of overall accuracy. The consistency analysis provides a similar spatial pattern of deforestation and regrowth measured from the road, river, and built-up area though their distance sensitivity are different one to another. 

Keywords


Area-proportion matrix;Deforestation;Gain;Remote Sensing

Full Text:

PDF


References

Achard, F., Eva, H. D., Stibig, H.-J., Mayaux, P., Gallego, J., Richards, T., & Malingreau, J.-P. (2002). Determination of deforestation rates of the world ’ s humid tropical forests. Science, 297(August), 999–1002. http://doi.org/10.1126/science.1070656

Asner, G. P., Knapp, D. E., Balaji, A., & Paez-Acosta, G. (2009). Automated mapping of tropical deforestation and forest degradation: CLASlite. Journal of Applied Remote Sensing, 3(1), 33543. http://doi.org/10.1117/1.3223675

DeFries, R. S., Houghton, R. A., Hansen, M. C., Field, C. B., Skole, D., & Townshend, J. (2002). Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s. Proceedings of the National Academy of Sciences of the United States of America, 99(22), 14256–61. http://doi.org/10.1073/pnas.182560099

DeFries, R., Achard, F., Brown, S., Herold, M., Murdiyarso, D., Schlamadinger, B., & de Souza, C. (2007). Earth observations for estimating greenhouse gas emissions from deforestation in developing countries. Environmental Science & Policy, 10(4), 385–394. http://doi.org/10.1016/j.envsci.2007.01.010

Dong, J., Kaufmann, R., Myneni, R., Tucker, C., & Kauppi, P. (2003). Remote Sensing Estimates of Boreal and Temperate Forest Woody Biomass : Carbon Pools , Sources , and Sinks. Remote Sensing of Environment, 84, 393–410.

Hansen, M. C., Potapov, P. V, Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., … Townshend, J. R. G. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342(6160), 850 LP-853. JOUR. Retrieved from http://science.sciencemag.org/content/342/6160/850.abstract

Miettinen, J., Shi, C., & Liew, S. C. (2011). Deforestation rates in insular Southeast Asia between 2000 and 2010. Global Change Biology, 17(7), 2261–2270. http://doi.org/10.1111/j.1365-2486.2011.02398.x

Olofsson, P., Foody, G. M., Stehman, S. V., & Woodcock, C. E. (2013). Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation. Remote Sensing of Environment, 129, 122–131. http://doi.org/10.1016/j.rse.2012.10.031

Pan, Y., Birdsey, R. A., Fang, J., Houghton, R., Kauppi, P. E., Kurz, W. A., … Hayes, D. (2011). A Large and Persistent Carbon Sink in the World’s Forests. Science, 333(6045), 988 LP-993. JOUR. Retrieved from http://science.sciencemag.org/content/333/6045/988.abstract

Shimada, M., Itoh, T., Motooka, T., Watanabe, M., Shiraishi, T., Thapa, R., & Lucas, R. (2014). New global forest/non-forest maps from ALOS PALSAR data (2007-2010). Remote Sensing of Environment, 155, 13–31. http://doi.org/10.1016/j.rse.2014.04.014

Wahyunto, S. Ritung dan H. Subagjo (2004). Peta Sebaran Lahan Gambut, Luas dan Kandungan Karbon di Kalimantan / Map of Peatland Distribution Area and Carbon Content in Kalimantan, 2000 – 2002. Wetlands International - Indonesia Programme & Wildlife Habitat Canada (WHC)..



DOI: https://doi.org/10.22146/ijg.16469

Article Metrics

Abstract views : 3026 | views : 2519

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2018 Indonesian Journal of Geography

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

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web Analytics IJG STATISTIC