Accuracy and Quality Control of Remote Sensing Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (15 April 2023) | Viewed by 35930
Special Issue Editors
Interests: applied remote sensing in different discipline of agriculture and environment studies; field and imaging spectroscopy; image and signal processing; machine learning and deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing products enable us to have regular monitoring of our planet’s surface from local to global scale. With increasing Earth observation sensors and platforms, reliable compliance information of quantitative remote sensing products is a prerequisite for future synergetic usages of remotely sensed data. Surface reflectance retrieved from remote sensing data is frequently contaminated by noise from atmospheric corrections to convert the top of atmospheric reflectance to surface reflectance, effects of cloud contamination, as well as using insufficient multiangular measurements in BRDF modeling. Additionally, the uncertainty of the reference should ideally be smaller than that of the candidate item, and their combined uncertainty should be lower than the width of the interval defining allowable variations.
This Special Issue aims (i) to report the up-to-date advancements and trends regarding the remote sensing data uncertainty measurements (ii) to report the quality and validation approaches for quantitative earth observation products over the land and water, and (iii) to communicate new sensors, methods and algorithms for improving and validating the quality of remotely sensed data.
Dr. Mohammadmehdi SaberioonDr. Daniel Spengler
Guest Editors
Manuscript Submission Information
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Keywords
- Remote sensing data validation
- High-quality surface information
- Atmospheric correction
- Harmonization
- Quality control
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