Multi-Index Soil Moisture Estimation from Satellite Earth Observations: Comparative Evaluation of the Topographic Wetness Index (TWI), the Temperature Vegetation Dryness Index (TVDI) and the Improved TVDI (iTVDI)
| العنوان: | Multi-Index Soil Moisture Estimation from Satellite Earth Observations: Comparative Evaluation of the Topographic Wetness Index (TWI), the Temperature Vegetation Dryness Index (TVDI) and the Improved TVDI (iTVDI) |
|---|---|
| المؤلفون: | Ikechukwu Nnamdi Maduako, Onyedika Anthony Igbokwe, Caleb Ifeanyichukwu, Raphael I. Ndukwu |
| المصدر: | Journal of the Indian Society of Remote Sensing. 45:631-642 |
| بيانات النشر: | Springer Science and Business Media LLC, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Topographic Wetness Index, 010504 meteorology & atmospheric sciences, Geography, Planning and Development, 0211 other engineering and technologies, Soil science, 02 engineering and technology, Vegetation, Land cover, 01 natural sciences, Advanced Spaceborne Thermal Emission and Reflection Radiometer, Geography, Earth and Planetary Sciences (miscellaneous), medicine, Dryness, Precipitation, medicine.symptom, Digital elevation model, Water content, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences |
| الوصف: | Soil moisture estimation from satellite earth observation has emerged effectively advantageous due to the high temporal resolution, spatial resolution, coverage, and processing convenience it affords. In this paper, we present a study carried out to estimate soil moisture level at every location within Enugu State Nigeria from satellite earth observation. Comparative analysis of multiple indices for soil moisture estimation was carried out with a view to evaluating the robustness, correlation, appropriateness and accuracy of the indices in estimating the spatial distribution of soil moisture level in Enugu State. Results were correlated and validated with In-Situ soil moisture observations from multi-sample points. To achieve this, the Topographic Wetness Index (TWI), based on digital elevation data, the Temperature Vegetation Dryness Index (TVDI) and an improved TVDI (iTVDI) incorporating air temperature and a Digital Elevation Model (DEM) were calculated from ASTER global DEM and Landsat images. Possible dependencies of the indices on land cover type, topography, and precipitation were explored. In-Situ soil moisture data were used to validate the derived indices. The results showed that there was a positive significant relationship between iTVDI versus TVDI (R = 0.53, P value 0.05) and TVDI versus TWI (R = −0.01, P value > 0.05) no significant relationship existed. There was a strong relationship between iTVDI and topography, land cover type, and precipitation than other indices (TVDI, TWI). In situ measured soil moisture values showed negative significant relationship with TVDI (R = −0.52, P value 0.05). The iTVDI outperformed the other two index; having a stronger relationship with topography, precipitation, land cover classes and soil moisture. It concludes that although iTVDI outperformed other indices (TVDI, TWI) in soil moisture estimation, the decision of which index to apply is dependent on available data, the intent of usage and spatial scale. |
| تدمد: | 0974-3006 0255-660X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::7dcd71c160f6c3a2e0d148682f253705 https://doi.org/10.1007/s12524-016-0635-9 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........7dcd71c160f6c3a2e0d148682f253705 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 09743006 0255660X |
|---|