Effects of Sample Handling on Visible and Near-Infrared Soil Reflectance DOI Creative Commons
Savannah L. McGuirk, Iver H. Cairns, Bradley J. Evans

et al.

Applied Spectroscopy Practica, Journal Year: 2024, Volume and Issue: 2(3)

Published: Aug. 14, 2024

Soil reflectance is a cumulative attribute determined by interactions between light (photons) and the physical, chemical, biological properties of soil. such as organic matter, moisture, mineral oxide contents, soil texture, surface roughness all influence at unique wavelengths. Many standard sample preparation techniques are designed to alter properties, so homogenize samples improve consistency data collected. This study aims quantify effects one activity, drying, repeated wetting–drying cycles on visible–near-infrared reflectance, collecting from nine which were dried then wetted for total three times. demonstrates major, permanent drying wetting cycle presents model can be used correct these effects. These results have direct implications remote sensing activities, libraries, spectral libraries. show that without correction, collected stored samples, transferred studies, limited utility characterizing soils they exist in field. lab requires correction before it may predict field, handling procedures change intrinsic introduce systematic error into data.

Language: Английский

Satellite Data Analysis for the Observation and Monitoring of Cultural Heritage. The Case of the Archaeological Park of Metaponto, Italy DOI
Carmen Fattore,

Arcangelo Priore,

Sara Porcari

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 68 - 81

Published: Jan. 1, 2025

Language: Английский

Citations

0

Elevation-dependent dynamics of soil properties in a hilly watershed: a landform-based approach DOI
Sahil Sharma, Deepak Swami

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(11)

Published: Oct. 2, 2024

Language: Английский

Citations

2

Evaluation of Deep Learning-Based Water Bodies and Flooded Area Detection with Nanosatellites: The PlanetScope Satellite Imageries and HRNet Model DOI Open Access

Wanyub Kim,

Shinhyeon Cho,

J. Jeong

et al.

Korean Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 40(5-1), P. 617 - 627

Published: Oct. 31, 2024

Language: Английский

Citations

0

Effects of Sample Handling on Visible and Near-Infrared Soil Reflectance DOI Creative Commons
Savannah L. McGuirk, Iver H. Cairns, Bradley J. Evans

et al.

Applied Spectroscopy Practica, Journal Year: 2024, Volume and Issue: 2(3)

Published: Aug. 14, 2024

Soil reflectance is a cumulative attribute determined by interactions between light (photons) and the physical, chemical, biological properties of soil. such as organic matter, moisture, mineral oxide contents, soil texture, surface roughness all influence at unique wavelengths. Many standard sample preparation techniques are designed to alter properties, so homogenize samples improve consistency data collected. This study aims quantify effects one activity, drying, repeated wetting–drying cycles on visible–near-infrared reflectance, collecting from nine which were dried then wetted for total three times. demonstrates major, permanent drying wetting cycle presents model can be used correct these effects. These results have direct implications remote sensing activities, libraries, spectral libraries. show that without correction, collected stored samples, transferred studies, limited utility characterizing soils they exist in field. lab requires correction before it may predict field, handling procedures change intrinsic introduce systematic error into data.

Language: Английский

Citations

0