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The use of hyper-temporal NDVI images to assess variation in factor C for the prediction of soil loss

Niipele, Johanna Ngula (2010) The use of hyper-temporal NDVI images to assess variation in factor C for the prediction of soil loss.

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Abstract:The process of soil loss is induced by many factors including the interactions between human activities and the natural environments, which cause impacts on both social and natural ecosystems. Soil loss resulting from water erosion is a problem that has been widely researched over the years. However, numerous methods developed to find alternative means of predicting soil loss lack the capability to dynamically predict temporal variation in soil loss. Therefore improved methods of predicting soil loss are required to improve traditional methods of estimating factor C used as input in soil prediction models. The objective of the study was to assess the use of MODIS Hyper-Temporal NDVI imagery in estimating factor C. Factor C was calculated from ground and canopy cover factors estimated in the field. Field data collection was carried out during the dry season, thus canopy cover estimations were low as compared to the average NDVI values over a 10 year period. Vegetation cover in the Crete Island is dominated by mountain phragana and grass steppe amongst others. However it is assumed that the present vegetation cover types represent centuries of soil loss. The resulting factor C was correlated to the average NDVI values of January and September over ten years period. Satellite remote sensing through hyper-temporal image analysis was used as it has the capability of matching temporal scales of assessing variations in factor C estimated for MODIS imagery. The analysed results showed that there is no relationship between field calculated factor C and MODIS NDVI.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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