High-Resolution Remote Sensing Datasets for Land Surface Analysis: Calibration and Validation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 5695
Special Issue Editors
Interests: spatial data quality; validation of global land covers dataset
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral remote sensing; validation of remote sensing data and products
Special Issues, Collections and Topics in MDPI journals
Interests: spatial sampling; accuracy assessment of land cover map
Interests: spatial data quality
Special Issue Information
Dear Colleagues,
High-resolution remote sensing datasets have become an indispensable data source for land surface analysis with the rapid development of various remote sensing platforms. Land surface information or land cover is generally extracted via classification or image analysis from remote sensing datasets. Particularly, a variety of satellite sensors have provided long time series and large-scale datasets for large scale and multitemporal representation of the land surface. However, the data quality of the remote sensing datasets may significantly affect the trustworthiness and reliability of the derived land cover information. The quality of the datasets involves several dimensions, such as positional accuracy, radiometric accuracy, thematic accuracy, segmentation/classification accuracy and analysis accuracy. Geometric or radiometric calibration are necessary operations to improve the accuracy of the remote sensing datasets. Furthermore, the data quality measures, spatial sampling methods, etc., provide significant data quality reference for the efficacy of the dataset’s applications. Therefore, the calibration and validation of high-resolution remote sensing datasets plays an important and fundamental role in remote sensing.
This Special Issue aims for studies covering calibration and validation of different high-resolution remote sensing datasets acquired by different sensors and platforms, such as multi-spectral and hyperspectral datasets, active and passive microwave dataset, Lidar and laser scanning datasets, spaceborne/airborne and terrestrial platforms. Topics may cover anything from the geometric or radiometric calibration technology for different remoting sensors, to quality assessment of various remote sensing datasets, derived products or analysis results. Hence, articles may address, but are not limited, to the following topics:
- Remote sensing datasets quality assessment;
- Accuracy assessment of land cover map;
- Spatial sampling;
- Multisource data integration;
- Long time series analysis;
- Geometric calibration;
- Radiometric calibration.
Prof. Dr. Xiaohua Tong
Prof. Dr. Huan Xie
Dr. Zhenhua Wang
Dr. Yanmin Jin
Guest Editors
Manuscript Submission Information
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Keywords
- high-resolution remote sensing datasets
- land surface analysis
- land cover map
- data quality
- accuracy assessment
- sampling
- validation
- calibration
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