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| Content Provider | Directory of Open Access Journals (DOAJ) |
|---|---|
| Author | Bambang Kun Cahyono Trias Aditya Istarno |
| Abstract | High-accuracy peat maps are essential for peatland restoration management, but costly, labor-intensive, and require an extensive amount of peat drilling data. This study offers a new method to create an accurate peat depth map while reducing field drilling data up to 75%. Ordinary least square (OLS) adjustments were used to estimate the elevation of the mineral soil surface based on the surrounding soil parameters. Orthophoto and Digital Terrain Models (DTMs) from LiDAR data of Tebing Tinggi Island, Riau, were used to determine morphology, topography, and spatial position parameters to define the DTM and its coefficients. Peat depth prediction models involving 100%, 50%, and 25% of the field points were developed using the OLS computations, and compared against the field survey data. Raster operations in a GIS were used in processing the DTM, to produce peat depth estimations. The results show that the soil map produced from OLS provided peat depth estimations with no significant difference from the field depth data at a mean absolute error of ±1 meter. The use of LiDAR data and the OLS method provides a cost-effective methodology for estimating peat depth and mapping for the purpose of supporting peat restoration. |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs12050875 |
| Journal | Remote Sensing |
| Issue Number | 5 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI AG |
| Publisher Date | 2020-03-01 |
| Publisher Place | Switzerland |
| Access Restriction | Open |
| Subject Keyword | Science Peat Depth Prediction Soil Properties Estimation Least Square Adjustment Sub-stratum Elevation Lidar Dtm |
| Content Type | Text |
| Resource Type | Article |
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