Abstract

Temperature as obtained by infrared remote sensing of bare soil or vegetation covered soil during day depends on soil water content ranging from the surface down to the root-zone. The main reason is that evaporation and plant transpiration cools down the soil surface and the leaves. However surface temperature does not only depend on soil moisture. It has to be combined with other measured variables. In this work we start with the classical combination between temperature and a vegetation index and we explore the benefit of adding the albedo or the cellulose absorption index to retrieve the surface soil moisture. The correlation between the inferred Soil Vegetation Wetness Index and the true moisture content is analyzed based on the thermal infrared and visible-NIR hyperspectral images recorded during Hymap 2007 campaign over Camargue (France).

Highlights

  • Information on soil moisture is of first importance for irrigation scheduling and for improving crop yield, and in water management in the climate change context and for the evaluation of the anthropic ecosystem impact

  • Iso-moisture straight lines are distributed linearly between the wet edge and the dry edge. Another method is based on the use of Penman-Monteith equation for evapotranspiration for expressing the difference between surface temperature and air temperature for the four extreme cases that define the vertices of the trapezoidal temperature and vegetation index (T-VI)

  • In the same manner as before with albedo, we propose to use Cellulose Absorption Index (CAI) as an additional observation parameter and to exploit the three-dimensional T-VI-CAI distribution features to infer a soil moisture map

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Summary

Introduction

Information on soil moisture is of first importance for irrigation scheduling and for improving crop yield, and in water management in the climate change context and for the evaluation of the anthropic ecosystem impact. Iso-moisture straight lines are distributed linearly between the wet edge and the dry edge Another method is based on the use of Penman-Monteith equation for evapotranspiration (which is derived from an energy budget equation) for expressing the difference between surface temperature and air temperature for the four extreme cases that define the vertices of the trapezoidal T-VI plot (Moran et al, 1994). Still another method is based on the use of a SVAT (Soil Vegetation Atmosphere Transfer) model in order to evaluate the radiation flux, the convective flux and the water/vapor fluxes between soil, vegetation and atmosphere (Carlson et al, 1995). HyMap is a hyperspectral imager with 128 bands from 0.45 μm to 2.5 μm whereas ATM is a multispectral imager with 11 bands from 0.42 μm to 13 μm

Airborne remote sensing campaign
Conclusion
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