Evaluation of distinctive normalized difference vegetation indices in soil erosion estimation using remote sensing concepts in Wadi Yalamlam, Saudi Arabia
IR@NISCAIR: CSIR-NISCAIR, New Delhi - ONLINE PERIODICALS REPOSITORY (NOPR)
View Archive Info| Field | Value | |
| Title |
Evaluation of distinctive normalized difference vegetation indices in soil erosion estimation using remote sensing concepts in Wadi Yalamlam, Saudi Arabia
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| Creator |
Bahrawi, Jarbou A.
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| Subject |
C-Factor
Landsat-8 Remote Sensing Data Sediment Transport Sentinel-2 Soil Erosion |
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| Description |
2087-2093
Automated soil erosion estimation techniques were used for decades with a continuous model's development for reliable estimates. Revised Universal Soil Loss Equation (RUSLE) utilizes remote sensing data in the form of Normalized Difference Vegetation Index (NDVI) layer that would be converted into what is so called the C-Factor of the equation. The spatial resolution of the remote sensing data plays an important role in deriving the NVDI layer. Therefore, two different remote sensing data will be used to derive two different NDVI layers with 30 and 10 m spatial resolution. The results of the utilizing the different remote sensing data were crossed checked against ground truth data collected from 37 points randomly distributed within the designated study area. |
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| Date |
2018-10-10T06:40:39Z
2018-10-10T06:40:39Z 2018-10 |
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| Type |
Article
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| Identifier |
0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/handle/123456789/45152 |
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| Language |
en_US
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| Rights |
<img src='http://nopr.niscair.res.in/image/cc-license-sml.png'> <a href='http://creativecommons.org/licenses/by-nc-nd/2.5/in' target='_blank'>CC Attribution-Noncommercial-No Derivative Works 2.5 India</a>
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| Publisher |
NISCAIR-CSIR, India
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| Source |
IJMS Vol.47(10) [October 2018]
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