Features of point clouds synthesized from multi-view ALOS/PRISM data and comparisons with LiDAR data in forested areas

Remote Sensing of Environment

Volumn 149, Issue , 2014, Pages 47-57

  Ni, Wenjian ^a,b   Ranson, Kenneth Jon ^c   Zhang, Zhiyu ^a   Sun, Guoqing ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF MARYLAND   (United States)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

ALOS PRISM; Forest biomass; Forest vertical structures; Point clouds; Synergy

Indexed keywords

BIOMASS; OPTICAL RADAR; VEGETATION; WAVEFORM ANALYSIS;

ALOS/PRISM; FOREST BIOMASS; POINT CLOUD; SYNERGY; VERTICAL STRUCTURES;

FORESTRY;

ALOS; BIOMASS; FOREST CANOPY; LIDAR; POINT SOURCE; REMOTE SENSING; SATELLITE DATA; SPATIAL RESOLUTION; VERTICAL DISTRIBUTION; WAVEFORM ANALYSIS;

EID: 84899699119     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.04.001     Document Type: Article

References (34)

1. Balzter H., Rowland C.S., Saich P. Forest canopy height and carbon estimation at Monks Wood National Nature Reserve, UK, using dual-wavelength SAR interferometry. Remote Sensing of Environment 2007, 108(3):224-239.
2. Bortolot Z.J., Wynne R.H. Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data. ISPRS Journal of Photogrammetry and Remote Sensing 2005, 59(6):342-360.
3. Cloude S.R., Papathanassiou K.P. Three-stage inversion process for polarimetric SAR interferometry. IEE Proceedings - Radar Sonar and Navigation 2003, 150(3):125-134.
4. Cook B.D., Nelson R.F., Middleton E.M., Morton D.C., McCorkel J.T., Masek J.G., et al. NASA Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT) airborne imager. Remote Sensing 2013, 5(8):4045-4066.
5. Drake J., Dubayah R., Clark D., Knox R., Blair J., Hofton M., et al. Estimation of tropical forest structural characteristics using large-footprint LiDAR. Remote Sensing of Environment 2002, 79(2-3):305-319.
6. Dubayah R.O., Sheldon S.L., Clark D.B., Hofton M.A., Blair J.B., Hurtt G.C., et al. Estimation of tropical forest height and biomass dynamics using LiDAR remote sensing at La Selva, Costa Rica. Journal of Geophysical Research - Biogeosciences 2010, 115.
7. Garestier F., Dubois-Fernandez P.C., Papathanassiou K.P. Pine forest height inversion using single-pass X-band PolInSAR data. IEEE Transactions on Geoscience and Remote Sensing 2008, 46(1):59-68.
8. Gong P., Mei X.L., Biging G.S., Zhang Z.X. Improvement of an oak canopy model extracted from digital photogrammetry. Photogrammetric Engineering and Remote Sensing 2002, 68(9):919-924.
9. Hall F.G., Bergen K., Blair J.B., Dubayah R., Houghton R., Hurtt G., et al. Characterizing 3D vegetation structure from space: Mission requirements. Remote Sensing of Environment 2011, 115(11):2753-2775.
10. Hobi M.L., Ginzler C. Accuracy assessment of digital surface models based on WorldView-2 and ADS80 stereo remote sensing data. Sensors 2012, 12(5):6347-6368.
11. Huang W.L., Sun G.Q., Dubayah R., Cook B., Montesano P., Ni W.J., et al. Mapping biomass change after forest disturbance: Applying LiDAR footprint-derived models at key map scales. Remote Sensing of Environment 2013, 134:319-332.
12. Jan A. Fundamentals of photointerpretation and photogrammetry 1993, Pictorial Prints (Pvt) Ltd., Islamabad.
13. Kellndorfer J., Walker W., Pierce L., Dobson C., Fites J.A., Hunsaker C., et al. Vegetation height estimation from shuttle radar topography mission and national elevation datasets. Remote Sensing of Environment 2004, 93(3):339-358.
14. Korpela I. Individual tree measurements by means of digital aerial Photogrammetry. Silva Fennica 2004, 1-93.
15. Leberl F., Irschara A., Pock T., Meixner P., Gruber M., Scholz S., et al. Point clouds: LiDAR versus 3D vision. Photogrammetric Engineering and Remote Sensing 2010, 76(10):1123-1134.
16. Lefsky M.A., Harding D.J., Keller M., Cohen W.B., Carabajal C.C., Espirito-Santo F.D., et al. Estimates of forest canopy height and aboveground biomass using ICESat. Geophysical Research Letters 2005, 32(22).
17. Naesset E. Determination of mean tree height of forest stands by digital photogrammetry. Scandinavian Journal of Forest Research 2002, 17(5):446-459.
18. Neeff T., Dutra L.V., dos Santos J.R., Freitas C.D., Araujo L.S. Tropical forest measurement by interferometric height modeling and P-band radar backscatter. Forest Science 2005, 51(6):585-594.
19. Ni W., Sun G., Ranson K.J. Characterization of ASTER GDEM elevation data over vegetated area compared with LiDAR data. International Journal of Digital Earth 2013, 10.1080/17538947.17532013.17861025.
20. Ni W., Sun G., Zhang Z., Guo Z., He Y. Co-registration of two DEMs: Impacts on forest height estimation from SRTM and NED at mountainous areas. IEEE Geoscience and Remote Sensing Letters 2014, 11(1):273-277.
21. Ni W., Sun G., Zhang Z., Guo Z., He Y. A heuristic approach to reduce atmospheric effects in InSAR data for the derivation of digital terrain models or for the characterization of forest vertical structure. IEEE Geoscience and Remote Sensing Letters 2014, 11(1):268-272.
22. Ni-Meister S.L.W., Strahler A.H., Woodcock C.E., Schaaf C., Tian Y., Ranson J., et al. Assessing general relationships between above-ground biomass and vegetation structure parameters for improved carbon estimate from vegetation lidar. Journal of Geophysical Research 2010, 115:G00E11.
23. Nuske R.S., Nieschulze J. The vegetation height as a tool for stand height determination: An application of automated digital photogrammetry in forestry. Allgemeine Forst Und Jagdzeitung 2004, 175(1-2):13-21.
24. Pang Y., Lefsky M., Miller M., Sherrill K., Andersen H. Automatic tree crown delineation using discrete return LiDAR and its application in ICEsat vegetation product validation. Canadian Journal of Remote Sensing 2008, 34(Suppl. 2):471-484.
25. Papathanassiou K.P., Cloude S.R. Single-baseline polarimetric SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing 2001, 39(11):2352-2363.
26. Sheng Y.W., Gong P., Biging G.S. Model-based conifer-crown surface reconstruction from high-resolution aerial images. Photogrammetric Engineering and Remote Sensing 2001, 67(8):957-965.
27. Simard M., Zhang K.Q., Rivera-Monroy V.H., Ross M.S., Ruiz P.L., Castaneda-Moya E., et al. Mapping height and biomass of mangrove forests in Everglades National Park with SRTM elevation data. Photogrammetric Engineering and Remote Sensing 2006, 72(3):299-311.
28. Solberg S., Astrup R., Gobakken T., Naesset E., Weydahl D.J. Estimating spruce and pine biomass with interferometric X-band SAR. Remote Sensing of Environment 2010, 114(10):2353-2360.
29. St-Onge B., Jumelet J., Cobello M., Vega C. Measuring individual tree height using a combination of stereophotogrammetry and LiDAR. Canadian Journal of Forest Research 2004, 34(10):2122-2130.
30. St-Onge B., Vega C., Fournier R.A., Hu Y. Mapping canopy height using a combination of digital stereo-photogrammetry and LiDAR. International Journal of Remote Sensing 2008, 29(11):3343-3364.
31. Sun Y.H., Gong H.L., Li X.J., Pu R.L., Li S.A. Extracting eco-hydrological information of inland wetland from L-band Synthetic Aperture radar image in Honghe National Nature Reserve, Northeast China. Chinese Geographical Science 2011, 21(2):241-248.
32. Sun G., Ranson K.J., Kimes D.S., Blair J.B., Kovacs K. Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data. Remote Sensing of Environment 2008, 112(1):107-117.
33. Tao C.V., Hu Y. A comprehensive study of the rational function model for photogrammetric processing. Photogrammetric Engineering and Remote Sensing 2001, 67(12):1347-1357.
34. Toutin T. DTM generation from Ikonos in-track stereo images using a 3D physical model. Photogrammetric Engineering and Remote Sensing 2004, 70(6):695-702.