Assessment of the area measurement on Cartosat-1 image
Joanna Pluto-Kossakowska, David Grandgirard (INTERACT), Rafal, Zielinski (JRC), Simon Kay (JRC)

TL;DR
This study evaluates the accuracy and variability of measuring agricultural parcel areas on Cartosat-1 satellite imagery, comparing it with aerial orthophotos, and analyzes factors affecting measurement precision.
Contribution
It introduces a comprehensive statistical framework for assessing measurement accuracy and variability on Cartosat-1 images, including outlier detection and comparison with other sensors.
Findings
Reproducibility limit for orthophotos is 2.86m.
Cartosat-1 measurement limits are 5.17m (Aft) and 8.76m (Fore).
Image type, land cover, and parcel size influence measurement variability.
Abstract
The goal of this study was the evaluation of agriculture parcel area measurement accuracy on Cartosat-1 imagery, and the determination of the technical tolerance appropriate for measurement using photointerpretation techniques. A further objective was to find out the influence of image type, land cover or parcel size on the area measurement variability. In our experiment, five independent operators measured 185 parcels, 3 times, on each image. Next, the buffer width, calculated as the difference between measured and reference parcel area, was derived and was the subject of statistical analysis. Prior to verifying the normality of the buffer widths, a detection of anomalous measurements is recommended. This detection of outliers within each group of observations (i.e. parcels) was made using the Jacknife distance test on each type of imagery (Cartosat Aft, Cartosat Fore). Then, the…
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Taxonomy
TopicsRemote Sensing and LiDAR Applications · Remote Sensing in Agriculture · Satellite Image Processing and Photogrammetry
