A combination of temperature, vegetation indexes and albedo, as obtained by airborne hyperspectral remote sensing, for the evaluation of soil moisture

作者：Krapez Jean Claude^*; Olioso Albert

来源：Quantitative InfraRed Thermography Journal, 2011, 8(2): 187-200.

DOI：10.3166/qirt.8.187-200

• soil moisture
• soil wetness
• remote sensing
• triangle method
• vegetation index
• hyperspectral
• thermal infrared

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).

• 出版日期2011-12