Forest Fire Data Set
| Main Author: | oulad SAYAD, YOUNES |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2018
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/xw3ffcg6yp |
| ctrlnum |
0.17632-xw3ffcg6yp.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>oulad SAYAD, YOUNES</creator><title>Forest Fire Data Set</title><publisher>Mendeley</publisher><description>We built a dataset based on remote sensing data related to the state of crops, this dataset is composed of three parameters: NDVI, LST, and Thermal Anomalies.
The process of building the dataset is composed of 6 steps: Data Collection, Data Conversion, Data Clipping, Data Extraction, Data Cleaning and Data Interpolation
This DataSet was used for forest fire prediction using unsupervised data mining algorithms simulated in the framework DataBricks.
</description><subject>Remote Sensing</subject><subject>Data Mining</subject><subject>Machine Learning</subject><subject>Fire</subject><type>Other:Dataset</type><identifier>10.17632/xw3ffcg6yp.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/xw3ffcg6yp</relation><date>2018-02-12T20:44:17Z</date><recordID>0.17632-xw3ffcg6yp.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
oulad SAYAD, YOUNES |
| title |
Forest Fire Data Set |
| publisher |
Mendeley |
| publishDate |
2018 |
| topic |
Remote Sensing Data Mining Machine Learning Fire |
| url |
https:/data.mendeley.com/datasets/xw3ffcg6yp |
| contents |
We built a dataset based on remote sensing data related to the state of crops, this dataset is composed of three parameters: NDVI, LST, and Thermal Anomalies.
The process of building the dataset is composed of 6 steps: Data Collection, Data Conversion, Data Clipping, Data Extraction, Data Cleaning and Data Interpolation
This DataSet was used for forest fire prediction using unsupervised data mining algorithms simulated in the framework DataBricks.
|
| id |
IOS7969.0.17632-xw3ffcg6yp.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:27:55Z |
| last_indexed |
2020-04-08T08:27:55Z |
| recordtype |
dc |
| _version_ |
1686587742571462656 |
| score |
17.538404 |