| Title | Soil respiration after six years of continuous drought stress in the tropical rainforest in Southwest China |
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| Author | Zhou, L; Liu, Y; Zhang, Y; Sha, L; Song, Q; Zhou, W; Balasubramanian, D; Palingamoorthy, G; Gao, J ; Lin, Y; Li, J; Zhou, R; Zar, Myo, S T; Tang, X; Zhang, J; Zhang, P; Wang, S; Grace, J |
| Source | Soil Biology and Biochemistry vol. 138, 107564, 2019., https://doi.org/10.1016/j.soilbio.2019.107564 |
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| Year | 2019 |
| Alt Series | Natural Resources Canada, Contribution Series 20190634 |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Area | China |
| Subjects | geophysics; remote sensing; vegetation |
| Program | Canada Centre for Remote Sensing Divsion |
| Released | 2019 08 09 |
| Abstract | In this comparative study, the Bayesian and a neural network (the HLVQ) approaches are used to classify multispectral LANDSAT images. The studied area contains several agricultural classes (wheat,
flax,. . . .). Some classes are found to be non homogeneous and thus are divided in this study into several subclasses. The Gaussian assumption needed by the Bayesian classifier is thus justified by this division. The main result obtained in this
study is that the Bayesian classifier and the neural network considered here provide equivalent solutions for the classification of agricultural multispectral images. |
| GEOSCAN ID | 321963 |
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