1 |
Donato, D. C., J. B. Kauffman, D. Murdiyarso, S. Kurnianto, M. Stidham, and M. Kanninen, 2010. Carbon-rich tropical mangroves and climate mitigation in a time of rising seas, Nature Geosciences, 4: 293-297.
|
2 |
Fatoyinbo, T. E. and M. Simard, 2013. Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM, International Journal of Remote Sensing, 34(2): 668-681.
DOI
|
3 |
Fatoyinbo, T. E., M. Simard, R. A. Washing-Allen, and H. H. Shugart, 2008. Landscape-scale extent, height, biomass, and carbon estimation of Mozambique's mangrove forests with Landsat ETM+ and Shuttle Radar Topography Mission elevation data, Journal of Geophysical Research, 113: G02S06.
|
4 |
Food and Agriculture Organization of the United Nations (FAO), 2007. The World's Mangroves 1980-2005, FAO Forestry Paper 153, FAO, Rome, Italy.
|
5 |
Giri, C., E. Ochieng, L. L. Tieszen, Z. Zhu, A. Singh, T. Loveland, J. Masek, and N. Duke, 2011. Status and distribution of mangrove forests of the world using earth observation satellite data, Global Ecology and Biogeography, 20(1): 154-159.
DOI
|
6 |
Hajnsek, I., F. Kugler, S.-K. Lee, and K. P. Papathanassiou, 2009. Tropical-Forest-Parameter Estimation by means of Pol-InSAR: The INDREX II Campaign, IEEE Transactions on Geoscience and Remote Sensing, 47(2): 481-493.
DOI
|
7 |
INFOTERRA, 2008. Radiometric Calibration of Terra SAR-X Data: Beta Naught and Sigma Naught Coefficient Calculation, Airbus Defence and Space, Friedrichshafen, Germany.
|
8 |
Krieger, G., A. Moreira, H. Fiedler, I. Hajnsek, M. Werner, M. Younis, and M. Zink, 2007. TanDEM-X: A staellite formation for high-resolution SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing, 45(11): 3317-3341.
DOI
|
9 |
Cloude, S. R., 2010. Polarisation: Applications in Remote Sensing, Oxford University Press, London, U.K.
|
10 |
Lee, S.-K., F. Kugler, K. P. Papathanassiou, and I. Hajnsek, 2012. Quantification of temporal decorrelation effects at L-band for polarimetric SAR interferometry applications, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3): 1351-1367.
DOI
|
11 |
Rahman, M., N. I. Khan, A. K. Fazlul Hoque, and I. Ahmed, 2015 Carbon stock in the Sundarbans mangrove forest: spatial variations in vegetation types and salinity zones, Wetland Ecology and Management, 23(2): 269-283.
DOI
|
12 |
Lee, S.-K. and T.E. Fatoyinbo, 2015. TanDEM-X Pol-InSAR Inversion for Mangrove Canopy Height Estimation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(7): 3608-3618.
DOI
|
13 |
Papathanassiou, K. P. and S. R. Cloude, 2001. Single baseline Polarimetric SAR Interferometry, IEEE Transactions on Geoscience and Remote Sensing, 39(11): 2352-2363.
DOI
|
14 |
Pendleton, L., D. C. Donato, B. C. Murray, S. Crooks, W. A. Jenkins, S. Sifleet, C. Craft, J. W. Fourqurean, J. B. Kauffman, N. Marba, P. Megonigal, E. Pidgeon, D. Herr, D. Gordon, and A. Baldera, 2012. Estimating global "blue carbon" emissions from conversion and degradation of vegetated coastal ecosystems, PLoS One, 7(9): e43542.
DOI
|
15 |
Schneider, R. Z., K. P. Papathanassiou, I. Hajnsek, and A. Moreira, 2006. Polarimetric and Interferometric Characterization of Coherent Scatterers in Urban Areas, IEEE Transactions on Geoscience and Remote Sensing, 44(4): 971-984.
DOI
|
16 |
Treuhaft, R. N., S. N. Madsen, M. Moghaddam, and J. J. van Zyl, 1996. Vegetation characteristics and underlying topography from interferometric radar, Radio Science, 31(6): 1449-1495.
DOI
|
17 |
Zink, M., M. Bachmann, B. Brautigam, T. Fritz, I. Hajnsek, G. Krieger, A. Moreira, and B. Wessel, 2014. TanDEM-X: The New Global DEM Takes Shape, IEEE Geoscience and Remote Sensing Magazine, 2(2): 8-23.
DOI
|
18 |
Cloude, S. R. and K. P. Papathanassiou, 2003. Three-stage inversion process for polarimetric SAR interferometry, IEE Proceedings-Radar Sonar and Navigation, 150(3): 125-134.
DOI
|
19 |
Cook, B. D., L. A. Corp, R. F. Nelson, E. M. Middleton, D. C. Morton, J. T. McCorkel, J. G. Masek, K. J. Ranson, V. Ly, and P. M. Montesano, 2013. NASA Goddard's lidar, hyperspectral and thermal(G-LiHT) airborne imager, Remote Sensing, 5(8): 4045-4066.
DOI
|