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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B3-2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-713-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-713-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
21 Aug 2020
| 21 Aug 2020
CA MARKOV MODELING OF LAND USE LAND COVER CHANGE PREDICTIONS AND EFFECT OF NUMERICAL ITERATIONS, IMAGE INTERVAL (TIME STEPS) ON PREDICTION RESULTS
M. S. Mondal
Dept. of Surveying Engineering, Wollega University, Ethiopia
N. Sharma
Center for Transportation System (CTRANS), Indian Institute of Technology, Roorkee, India
M. Kappas
Dept. of Cartography, GIS & Remote Sensing, Institute of Geography, Georg-August University of Göttingen, Goldschmidtstr. 5, Room No. 477, 37077, Göttingen, Germany
P. K. Garg
Dept. of (Geomatics) Engineering, Indian Institute of Technology, Roorkee, India
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Short summary
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The SWAT model was used to simulate the water cycle in the ungauged basin of Aluoi, Vietnam. The model was calibrated based on daily river discharge (predicted by regionalization), monthly actual evapotranspiration and yearly crop yield.The results showed that the surface runoff is highest between September and November which resulted in extreme soil erosion and sedimentation. Best Management Practice (BMPs) reduced surface runoff and soil erosion in agricultural lands.
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