A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
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ID: 261635
2019
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Abstract
In this study, we introduced a novel hybrid artificial intelligence approach of rotation forest (RF) as a Meta/ensemble classifier based on alternating decision tree (ADTree) as a base classifier called RF-ADTree in order to spatially predict gully erosion at Klocheh watershed of Kurdistan province, …
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d2019sensorsa
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| Authors | Tien Bui D;Shirzadi A;Shahabi H;Chapi K;Omidavr E;Pham BT;Talebpour Asl D;Khaledian H;Pradhan B;Panahi M;Bin Ahmad B;Rahmani H;Gróf G;Lee S;; |
| Journal | sensors |
| Year | 2019 |
| DOI |
DOI not found
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| Keywords |
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
pubmed abstract
nih
national institutes of health
national library of medicine
ataollah shirzadi
dieu tien bui
pmid:31146336
pmc6603737
doi:10.3390/s19112444
saro lee
Machine learning
gully erosion
ensemble algorithms
geomorphology
geographic information science
kurdistan province
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