| Author | Wasinee Wannasiri |
| Call Number | AIT Diss. no.RS-13-02 |
| Subject(s) | Mangrove forests--Remote sensing
|
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. RS-13-02 |
| Abstract | Individual Tree Crown (ITC) algorithms have been de veloped to delineate tree crowns and to extract tree parameters from airborne Light Detecti on and Ranging (LiDAR) in many forest types. Mangroves grow in the tropical and subtropic al ecosystem regions within the intertidal habitat which differs from the other forest types i n canopy structure, tree density. There are only a few scientific articles discussing the appli cation of LiDAR to mangrove biophysical parameter extraction. The first purpose of this stu dy is to evaluate the Capabilities of ITC algorithm in extracting the mangrove individual par ameters. Performances of the Variable Window Filtering (VWF) and the Inverse Watershed Se gmentation (IWS) methods were compared by according to the percentage of Crown Ov erlap (C OL ), which varies in three experimental plots. The second purpose is to improv e the accuracy of the VWF method in deriving Crown Diameter (CD) from LiDAR data by dev eloping the CD Correction Model. The first results demonstrated that the VWF method yielded a slightly higher accuracy for mangrove parameter extractions from LiDAR data than those analyzed by the IWS method. The estimated CD by the IWS method results in many small fragments. As a result of the VWF method, the individual tree detections showed a kappa coefficient of agreement ( K ) value of 0.78 with a mean distance error value of 1 .15 m for the tree position measurements. The estimation of CD produced a coefficient of dete rmination ( R 2 ) value of 0.75, an Root Mean Square Error (RMSE) value of 1.65 m. Tree heig ht determination from LiDAR yielded an R 2 value of 0.80, an RMSE value of 1.42 m. The result s presented herein showed that both methods produce the high commission error ( C err ) of detected tree number and underestimation of CD. Before the transferring of t he proposed methodology to other mangrove species or other study sites, the accuracy improvement of the VWF method in deriving mangrove parameters is necessary. As the r esults of this study, it could be observed that the percentage of crown overlap is possibly co rrelated with the residual error of CD estimation and will lead to the improvement of the CD estimation from LiDAR data. |
| Year | 2013 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. RS-13-02 |
| Type | Dissertation |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Nagai, Masahiko |
| Examination Committee(s) | Honda, Kiyoshi ;Sarawut Ninsawat ;Phisan Santitamnont |
| Scholarship Donor(s) | Royal Thai Government ;Asian Institute of Technology Fellowship |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2013 |