Triangle Method for Estimating Soil Surface Wetness from Satellite Imagery in Allahabad District, Uttar Pradesh, India
| Autor: | Abba Aliyu Kasim, Abubakar Aminu Usman |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Surface (mathematics)
Hydrology 010504 meteorology & atmospheric sciences Pixel 0208 environmental biotechnology 02 engineering and technology Soil surface 01 natural sciences 020801 environmental engineering Hydrology (agriculture) Environmental science Soil horizon Satellite imagery Uttar pradesh Water content 0105 earth and related environmental sciences |
| Zdroj: | Journal of Geoscience and Environment Protection. :84-92 |
| ISSN: | 2327-4344 2327-4336 |
| Popis: | Soil surface wetness is indispensable land surface parameter in agriculture, hydrology and environmental engineering. This paper explores the relationship between surface radiant temperature and fractional vegetation cover derived from satellite imagery to estimate soil surface wetness (triangle method) in Allahabad district. The pixel distributions create triangular shapes because the range of surface radiant temperature decreases as the amount of vegetation cover increases and sufficient number of pixels exists. A very weak correlation is found between the simulated soil surface wetness and ground measured soil moisture at deeper soil layers (R2 < 0.15) on all the dates under investigation. This is because the drying rates at the surface discontinue to be linearly correlated to that at lower levels (depths). The standing water pixels distort the shape of the triangle especially at lower left edge of the triangle. This distortion is removable. The spatial and temporal inhomogeneity of soil surface wetness is examined. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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