Mapping Dragon Fruit Croplands from Space Using Remote Sensing of Artificial Light at Night (open access)

Mapping Dragon Fruit Croplands from Space Using Remote Sensing of Artificial Light at Night

Article using National Polar Partnership (NPP)-Visible Infrared Imaging Radiometer Suite (VIIRS) NTL remote sensing data to observe the seasonal variation of artificial lighting in dragon fruit cropland in Binh Thuan Province, Vietnam. The results suggest that the NTL remotely sensed data could be used to reveal some agricultural productive activities such as dragon fruits production accurately by monitoring the seasonal artificial lighting. This research demonstrates the application potential of NTL remotely sensed data in agriculture.
Date: December 17, 2020
Creator: Wang, Ruirui; Shi, Wei & Dong, Pinliang
System: The UNT Digital Library
The value of hydrologic information for watershed management programs: The case of Camboriú, Brazil (open access)

The value of hydrologic information for watershed management programs: The case of Camboriú, Brazil

Article explores the value of hydrologic modeling and monitoring with respect to two dimensions: scientific credibility and use of generated knowledge in the design, implementation, and evaluation of the watershed management program in the Camboriú watershed, Brazil.
Date: December 2, 2019
Creator: Hamel, Perrine; Bremer, Leah L.; Ponette-González, Alexandra G.; Acosta, Eileen; Fisher, Jonathan R.B.; Steele, Bethel G. et al.
System: The UNT Digital Library
Using solar radiation data in soil moisture diagnostic equation for estimating root-zone soil moisture (open access)

Using solar radiation data in soil moisture diagnostic equation for estimating root-zone soil moisture

Article describes how the soil moisture daily diagnostic equation (SMDE) evaluates the relationship between the loss function coefficient and the summation of the weighted average of precipitation. The study has confirmed that using actual solar radiation data in the soil moisture daily diagnostic equation can improve its accuracy.
Date: December 12, 2022
Creator: Omotere, Olumide; Pan, Feifei & Wang, Lei
System: The UNT Digital Library