scholarly journals DETERMINING SURFACE SOIL MOISTURE STATUS USING DIGITAL IMAGE ANALYSIS

2012 ◽  
Vol 29 (4) ◽  
pp. 1545-1566
Author(s):  
D. M. El Shikha ◽  
A. M. El-Ghamry ◽  
A. M. El Shikha
Keyword(s):  
Image Analysis ◽  
Soil Moisture ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Surface Soil ◽  
Surface Soil Moisture ◽  
Soil Moisture Status

scholarly journals SWCTI: Surface Water Content Temperature Index for Assessment of Surface Soil Moisture Status

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2875 ◽  
Author(s):  
Zhiming Hong ◽  
Wen Zhang ◽  
Changhui Yu ◽  
Dongying Zhang ◽  
Linyi Li ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Water Stress ◽  
Surface Water ◽  
Surface Temperature ◽  
Water Content ◽  
Surface Soil ◽  
Surface Soil Moisture ◽  
Temperature Index ◽  
Soil Moisture Status

The vegetation supply water index (VSWI = NDVI/LST) is an effective metric estimating soil moisture in areas with moderate to dense vegetation cover. However, the normalized difference vegetation index (NDVI) exhibits a long water stress lag and the land surface temperature (LST), sensitive to water stress, does not contribute considerably to surface soil moisture monitoring due to the constraints of the mathematical characteristics of VSWI: LST influences VSWI less when LST value is sufficiently high. This paper mathematically analyzes the characteristics of VSWI and proposes a new operational dryness index (surface water content temperature index, SWCTI) for the assessment of surface soil moisture status. SWCTI uses the surface water content index (SWCI), which provides a more accurate estimation of surface soil moisture than that of NDVI, as the numerator and the modified surface temperature, which has a greater influence on SWCTI than that of LST, as the denominator. The validation work includes comparison of SWCTI with in situ soil moisture and other remote sensing indices. The results show SWCTI demonstrates the highest correlation with in situ soil moisture; the highest correlation R = 0.801 is found between SWCTI and the 0–5 cm soil moisture in a sandy loam. SWCTI is a functional and effective method that has a great potential in surface soil moisture monitoring.

Digital Image Analysis of the Larynx

2000 ◽  
Vol 10 (2) ◽  
pp. 7-9
Author(s):  
Yaser Natour ◽  
Christine Sapienza ◽  
Mark Schmalz ◽  
Savita Collins
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis

scholarly journals Digital Image Analysis of BAP-1 Accurately Predicts Uveal Melanoma Metastasis

2019 ◽  
Vol 8 (3) ◽  
pp. 11 ◽  
Author(s):  
Gustav Stålhammar ◽  
Thonnie Rose O. See ◽  
Stephen Phillips ◽  
Stefan Seregard ◽  
Hans E. Grossniklaus
Keyword(s):  
Image Analysis ◽  
Uveal Melanoma ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Melanoma Metastasis
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