Year 2016, Volume 62, Issue 4

Year : 2016
Volume : 62
Issue : 4
   
Authors : Yannawut UTTARUK, Teerawong LAOSUWAN
Title : REMOTE SENSING BASED VEGETATION INDICES FOR ESTIMATING ABOVE GROUND CARBON SEQUESTRATION IN ORCHARDS
Abstract : This study aims to apply remote sensing technology to estimate above ground carbon sequestration of orchards with vegetation indices into two forms: 1) Normalized Difference Vegetation Index (NDVI) and 2) Transformed Normalized Difference Vegetation Index (TNDVI). It also aims to explore field data by using the data from a satellite called Landsat 7 ETM+ Path 127 Row 48 that was recorded on 30 January 2015 to adjust the Top of Atmosphere (ToA) reflectance and then determine the percentage of fractional cover, and build the relationship equation between satellite data from Landsat 7 ETM+ and field data collection. The results from NDVI showed the equation y = 0.2836e0.0373x with coefficient of R² = 0.872. As a result, the calculated amount of above ground carbon was 255.712 tCO2/rai. Meanwhile, the results from TNDVI showed relationship equation y = 0.2261e0.0388x with the coefficient of R² = 0.877. As a result, the calculated amount of above ground carbon was 255.400 tCO2/rai
For citation : Uttaruk Y., Laosuwan T., (2016): Remote sensing based vegetation indices for estimating above ground carbon sequestration in orchards Agriculture and Forestry, 62 (4): 193-201. DOI: 10.17707/AgricultForest.62.4.21
Keywords : Remote sensing, Vegetation indices, Carbon sequestration, Orchards
   
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ISSN 0554-5579 (Printed)
ISSN 1800-9492 (Online)
DOI : 10.17707/AgricultForest

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