| Autor: |
N.S.Gowri Ganesh, R.Roopa Chandrika, E. Pavithra, A. Mummoorthy |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 International Conference on Emerging Trends in Science and Engineering (ICESE). |
| DOI: |
10.1109/icese46178.2019.9194688 |
| Popis: |
In this project our main aim is the estimation of biomass using satellite image processing techniques. Firstly, we need to identify our study area and gather the ground data. After that calculate the entropy values and estimate the biomass. Then take the Satellite Images from either the LandSat TM or EnviSat and pre-process the image. Accurate Geometric Preprocessing and Atmospheric calibration are two important aspects in image pre-processing. After the preprocessing has been done then process the image and develop the different biomass models, like the allometric equations, regression models, geostatistical models, Non-parametric models, etc. Any one of these techniques can be used. The Multiple Regression Analysis is the most often used approach. For the study area in our project we shall proceed with the Vellore area and use the remote sensing data for the same. Geometric Correction and Speckle reduction can be used to improve the image we have taken. Then we have the Enhanced ETM data and filtered ASAR. Then we visually interpret the given image and identify the possible locations of biomass content. Then the volumetric equations are identified using various models as described above. After this we can calculate the Stand Volume using the equations we have at hand. The final step involves the calculation of Mean Biomass. Once this is calculated the main aim of our project is fulfilled. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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