Estimating the spatial distribution of soil total arsenic in the suspected contaminated area using UAV-Borne hyperspectral imagery and deep learning
The total arsenic (TAs) content in the soil is commonly used as an important indicator for evaluating soil pollution. However, the traditional methods for investigating TAs concentration in soil over a large area are always labor-intensive and costly. As a rapid and convenient technique, unmanned ae...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |