Advantages of unmanned aerial vehicle (UAV) photogrammetry for landscape analysis compared with satellite data: A case study of postmining sites in Indonesia

References

• Ahmed, O. S., Shemrock, A., Chabot, D., Dillon, C., Williams, G., Wasson, R., & Franklin, S. (2017). Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle. International Journal of Remote Sensing, 38, 2037–2052. doi:10.1080/01431161.2017.1294781
   Web of Science ®Google Scholar
• Apan, A. A. (1996). Tropical landscape characterization and analysis for forest rehabilitation planning using satellite data and GIS. Landscape and Urban Planning, 34, 45–54. doi:10.1016/0169-2046(95)00201-4
   Web of Science ®Google Scholar
• Asner, G. P. (2001). Cloud cover in landsat observations of the Brazilian Amazon. International Journal of Remote Sensing, 22, 3855–3862. doi:10.1080/01431160010006926
   Web of Science ®Google Scholar
• Congalton, R. G., & Green, K. (2009). Assessing the accuracy of remotely sensed data; principles and practices (2nd ed. ed.). New York: CRC/Taylor & Francis.
   Google Scholar
• Crosetto, M. (2002). Calibration and validation of SAR interferometry for DEM generation. ISPRS Journal of Photogrammetry and Remote Sensing, 57, 213–227. doi:10.1016/S0924-2716(02)00107-7
   Web of Science ®Google Scholar
• Eastman, J. R. (2015). TerrSet tutorial. Worcester, MA: Clark University.
   Google Scholar
• Erman, E. (2007). Rethinking of legal and illegal economy: A case study of tin mining in Bangka Island. Retrived from http://globetrotter.berkeley.edu/GreenGovernance/papers/Erman2007.pdf
   Google Scholar
• Flynn, K. F., & Chapra, S. C. (2014). Remote sensing of submerged aquatic vegetation in a shallow non-turbid river using an unmanned aerial vehicle. Remote Sensing, 6, 12815–12836. doi:10.3390/rs61212815
   Web of Science ®Google Scholar
• Getzin, S., Nuske, R. S., & Wiegand, K. (2014). Using unmanned aerial vehicles (UAV) to quantify spatial gap patterns in forests. Remote Sensing, 6, 6988–7004. doi:10.3390/rs6086988
   Web of Science ®Google Scholar
• Gurney, R. J., Foster, J. L., & Parkinson, C. L. (1993). Atlas of satellite observations related to global change. Great Britain: Cambridge University Press.
   Google Scholar
• Heidhues, M. F. S. (1991). Company Island: A note on the history of Belitung, Indonesia. 51, 1–20. doi:10.2307/3351063
   Google Scholar
• Honnay, O., Piessens, K., Landuyt, W. V., Hermy, M., & Gulinck, H. (2003). Satellite based land use and landscape complexity indices as predictors for regional plant species diversity. Landscape and Urban Planning, 63, 241–250. doi:10.1016/S0169-2046(02)00194-9
   Web of Science ®Google Scholar
• Iizuka, K., Johnson, B. A., Onishi, A., Magcale-Macandog, D. B., Endo, I., & Bragais, M. (2017). Modeling future urban sprawl and landscape change in the Laguna de Bay Area, Philippines. Land, 6, 26. doi:10.3390/land6020026
   Web of Science ®Google Scholar
• Iizuka, K., & Tateishi, R. (2014). Simple relationship analysis between l-band backscattering intensity and the stand characteristics of Sugi (Cryptomeria japonica) and Hinoki (Chamaecyparis obtusa) trees. Advances in Remote Sensing, 3, 219–234. doi:10.4236/ars.2014.34015
   Google Scholar
• Iizuka, K., & Tateishi, R. (2015). Estimation of CO2 sequestration by the forests in Japan by discriminating precise tree age category using remote sensing techniques. Remote Sensing, 7, 15082–15113. doi:10.3390/rs71115082
   Web of Science ®Google Scholar
• Jaud, M., Passot, S., Le Bivic, R., Delacourt, C., Grandjean, P., & Le Dantec, N. (2016). Assessing the accuracy of high resolution digital surface models computed by PhotoScan® and MicMac® in sub-optimal survey conditions. Remote Sensing, 8, 465. doi:10.3390/rs8060465
   Web of Science ®Google Scholar
• Ji, K., & Wu, Y. (2015). Scattering mechanism extraction by a modified cloude-pottier decomposition for dual polarization SAR. Remote Sensing, 7, 7447–7470. doi:10.3390/rs70607447
   Web of Science ®Google Scholar
• Lee, J. S., Wen, J. H., Thomas, L. A., Chen, K. S., & Chen, A. J. (2009). Improved sigma filter for speckle filtering of sar imagery. IEEE Transactions on Geoscience and Remote Sensing, 47, 202–213. doi:10.1109/TGRS.2008.2002881
   Web of Science ®Google Scholar
• Luna, I., & Lobo, A. (2016). Mapping crop planting quality in sugarcane from UAV imagery: A pilot study in Nicaragua. Remote Sensing, 8, 500. doi:10.3390/rs8060500
   Web of Science ®Google Scholar
• Mancini, F., Dubbini, M., Gattelli, M., Stecchi, F., Fabbri, S., & Gabbianelli, G. (2013). Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: The structure from motion approach on coastal environments. Remote Sensing, 5, 6880–6898. doi:10.3390/rs5126880
   Web of Science ®Google Scholar
• Martínez, S., Ramil, P., & Chuvieco, E. (2010). Monitoring loss of biodiversity in cultural landscapes. New Methodology Based on Satellite Data. Landscape and Urban Planning, 94, 127–140. doi:10.1016/j.landurbplan.2009.08.006
   Web of Science ®Google Scholar
• Motohka, T., Nasahara, K. N., Oguma, H., & Tsuchida, S. (2010). Applicability of green-red vegetation index for remote sensing of vegetation phenology. Remote Sensing, 2, 2369–2387. doi:10.3390/rs2102369
   Web of Science ®Google Scholar
• Pontius, R. G. (2000). Quantification error versus location error in comparison of categorical maps. Photogrammetric Engineering and Remote Sensing, 66, 1011–1016.
   Web of Science ®Google Scholar
• Pöyhönen, P. (2009) Legal and illegal blurred: Update on tin production for consumer electronics in Indonesia, FinnWatch, Helsinki. Retrived from https://www.somo.nl/wp-content/uploads/2009/06/Legal-and-illegal-Blurred.pdf
   Google Scholar
• Reigber, A., Scheiber, R., Jäger, M., Prats-Iraola, P., Hajnsek, I., Jagdhuber, T., … Moreira, A. (2013). Very-high-resolution airborne synthetic aperture radar imaging: Signal processing and applications. Proceedings of the IEEE, 101, 759–783. doi:10.1109/JPROC.2012.2220511
   Web of Science ®Google Scholar
• Richards, J. A. (2009). Remote sensing with imaging radar. New York: Springer.
   Google Scholar
• Sanga-Ngoie, K., Iizuka, K., & Kobayashi, S. (2012). Estimating CO2 sequestration by forests in oita prefecture, Japan, by combining LANDSAT ETM+ and ALOS satellite remote sensing data. Remote Sensing, 4, 3544–3570. doi:10.3390/rs4113544
   Web of Science ®Google Scholar
• Sharma, R. C., Tateishi, R., Hara, K., & Iizuka, K. (2016). Production of the Japan 30-m land cover map of 2013–2015 using a random forests-based feature optimization approach. Remote Sensing, 8, 429. doi:10.3390/rs8050429
   Web of Science ®Google Scholar
• Small, D. (2011). Flattening Gamma: Radiometric terrain correction for SAR imagery. IEEE Transactions on Geoscience and Remote Sensing. doi:10.1109/TGRS.2011.2120616
   Web of Science ®Google Scholar
• Tang, J., Wang, L., & Yao, Z. (2008). Analyses of urban landscape dynamics using multi-temporal satellite images: A comparison of two petroleum-oriented cities. Landscape and Urban Planning, 87, 269–278. doi:10.1016/j.landurbplan.2008.06.011
   Web of Science ®Google Scholar
• Villa, P. (2012). Mapping urban growth using soil and vegetation index and landsat data: The Milan (Italy) city area case study. Landscape and Urban Planning, 107, 245–254. doi:10.1016/j.landurbplan.2012.06.014
   Web of Science ®Google Scholar
• Weber, C. (2003). Interaction model application for urban planning. Landscape and Urban Planning, 63, 49–60. doi:10.1016/S0169-2046(02)00182-2
   Web of Science ®Google Scholar
• Wen, C., Zhang, Y., & Deng, K. (2009, September) Urban area classification in high resolution SAR based on texture features. International Conference on Geo-spatioal Solutions for Emergency Management (GSEM 2009) (pp. 281–285). Beijing, China.
   Google Scholar
• Wu, Q., Li, H., Wang, R., Paulussen, J., He, Y., Wang, M., … Wang, Z. (2006). Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landscape and Urban Planning, 78, 322–333. doi:10.1016/j.landurbplan.2005.10.002
   Web of Science ®Google Scholar
• Zhou, G., Chen, W., Kelmelis, J. A., & Zhang, D. (2005). A comprehensive study on urban true orthorectification. IEEE Transactions on Geoscience and Remote Sensing, 43, 2138–2147. doi:10.1109/TGRS.2005.848417
   Web of Science ®Google Scholar