Accuracy and Spatial Pattern Assessment of Forest Cover Change Datasets in Central Kalimantan
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
Keywords
Full Text:
PDFReferences
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 : 3015 | views : 2500Refbacks
- There are currently no refbacks.
Copyright (c) 2018 Indonesian Journal of Geography
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)
IJG STATISTIC