Published March 13, 2022
| Version v1
Journal article
Open
Identifying large-area mangrove distribution based on remote sensing: A binary classification approach considering subclasses of non-mangroves
Creators
- 1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences
Description
We extended the number of calculated features of "Towards accurate large-area mangrove classifications that do not depend on post-processing: the key reason of misclassification". A total feature number of 84 was calculated for further data mining procedure.
Files
Files
(12.0 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:518f5df6c233b3c0189bd921e1156275
|
12.0 kB | Download |