Paper
20 January 2005 Estimation of soil moisture with hyperspectral reflectance based on ground-based remote sensing
Minzan Li, Peng Zhao, Xijie Zhang
Author Affiliations +
Proceedings Volume 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II; (2005) https://doi.org/10.1117/12.580650
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States
Abstract
A lab experiment and a field experiment were conducted to develop a method to estimate soil moisture level using a handheld spectroradiometer. In lab experiment, forty-one soil samples with different moisture content were prepared. The hyperspectral reflectance of all soil samples were measured, and the moisture content of all soil samples were analyzed. In field experiment, a 50×300 m2 small farm was selected, divided into 150 10×10 m2 grids, and the hyperspectral reflectance of each grid was measured. A soil sample (about 1000 g) was collected for subsequent moisture analysis from each grid. The results from lab experiment showed that there was a linear correlation between soil moisture content and soil hyperspectral reflectance when the moisture content was below 19 %db. By comparing the two experiments, we also identified that the soil surface condition and the surrounding temperature can influence the precision of the hyperspectral reflectance measured in the field experiment. Based on the field experiment, several hyperspectral reflectance maps were drawn and they show high correlation with soil moisture content map. All results from both the lab experiment and the field experiment show possibility to estimate soil moisture content with hyperspectral reflectance obtained by ground-based remote sensing.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Minzan Li, Peng Zhao, and Xijie Zhang "Estimation of soil moisture with hyperspectral reflectance based on ground-based remote sensing", Proc. SPIE 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, (20 January 2005); https://doi.org/10.1117/12.580650
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Cited by 2 scholarly publications.
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KEYWORDS
Soil science

Reflectivity

Remote sensing

Agriculture

Near infrared

Statistical analysis

Temperature metrology

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