play_arrowdatasetViewer.description
The collection presented here contains the fires identified by CONAF between the years 2002 and 2020, separated by season. For each season, the total number of events registered by CONAF is shown, in addition to the type of alerts issued that year and the total area burned. Then, within each season, it is possible to find more detailed information for each event:
- **Location**: Region, province and commune, as well as latitude, longitude and datum of the estimated ignition point
- **Date**: Season, date, start time and duration (in minutes)
- **Event information**: Name, issued alert, scenario and cause
- **Area burned (in hectares)**: Pine A, Pine B, Pine C, Eucalyptus, Other plants, Trees, Scrubland, Pasture, Agricultural, Waste and total
Additionally, the scenarios can be the following:
- **IFor-Pl**: Plantation Forest Fire, when the fire spreads mainly affecting forest plantations, also including forest management waste such as thinning and/or harvesting
- **IFor-Vn**: Forest Fire of Natural Vegetation, in the case of a forest fire that develops affecting natural vegetation represented by an adult forest, new growth, thickets and also forest harvest waste of native species. In its passage it may have spread through agricultural soils
- **FIUr-Fo**: Forest Urban Interface Forest Fire, corresponds to a fire that develops mainly in areas with combustible vegetation in the surroundings of homes and that, in its spread, threatens and/or affects vegetation and populated areas, industrial or productive infrastructure
- **IFCo**: Cordilleran Forest Fire, corresponds to a fire that develops in a mountain range environment above 1,000 m.a.s.l. which naturally presents difficulties of access and land movement. It normally affects native tree, shrub or Andean grassland vegetation. The altitude location, the steep slopes and the weather limit, affect and condition flight safety in air operations, due to variations in temperature and wind speed, intensity and direction.
- **IFSu**: Underground Forest Fire, corresponds to a fire that, already extinguished on its surface, spreads with an incandescent combustion by the organic matter accumulated under the ground. Its extinction forces the use of heavy machinery to dig deep and cut the continuity of the A horizon.
- **IFCSo**: Social Conflict Forest Fire, corresponds to a fire that develops in specific territories of the country called areas in social/territorial conflict. Action, operation and special procedures of the State Forest Fire Protection System are required to face its combat.
- **IFASP**: Wild Protected Area Forest Fire, corresponds to a fire that spreads in a SNASPE Protected Wild Area
- **IFIns**: Island Forest Fire, corresponds to a fire that develops on islands or archipelagos, not larger ones, practically uninhabited and where access is by sea or air. The scarce infrastructure forces a complex logistics deployment
play_arrowdatasetViewer.preview
datasetViewer.previewCollectionInfo
Temporada | Número de eventos | Alertas | Escenarios | Superficie total quemada [ha] |
---|
2002 - 2003 | 7400 | Sin alerta | No definido | 41531.75000000001 |
2003 - 2004 | 6167 | Sin alerta | No definido; IFor-Vn | 49185.63 |
2004 - 2005 | 6412 | Sin alerta | No definido | 61569.61 |
2005 - 2006 | 5173 | Sin alerta | No definido | 16674.11 |
2006 - 2007 | 4987 | Sin alerta | No definido; IFor-Vn; IFIUr-Fo; IFor-PI | 40200.32 |
··· | ··· | ··· | ··· | ··· |
2015 - 2016 | 6784 | Sin alerta; Alerta amarilla; Alerta roja | IFor-Vn; IFIUr-Fo; No definido; IFor-PI; IFASP; IFIns; IFCo; IFSu; IFCSo | 42096.706900000005 |
2016 - 2017 | 5268 | Sin alerta; Alerta amarilla; Alerta roja | IFIUr-Fo; IFor-Vn; IFor-PI; IFASP; IFIns; IFCo; No definido; IFCSo; IFSu | 570160.2842 |
2017 - 2018 | 6081 | Sin alerta; Alerta amarilla; Alerta roja | IFor-Vn; IFIUr-Fo; IFor-PI; IFIns; IFASP; No definido; IFCo; IFSu; IFCSo | 39555.2667 |
2018 - 2019 | 7219 | Sin alerta; Alerta amarilla; Alerta roja | No definido; IFor-Vn; IFor-PI; IFIUr-Fo; IFIns; IFASP; IFCo; IFCSo; IFSu | 80064.18830000001 |
2019 - 2020 | 8125 | Sin alerta; Alerta amarilla; Alerta roja | No definido; IFor-Vn; IFIUr-Fo; IFor-PI; IFASP; IFCo; IFCSo; IFIns; IFSu | 102291.1152 |
play_arrowdatasetViewer.download
datasetViewer.download1 datasetViewer.here. datasetViewer.download3
play_arrowdatasetViewer.programaticAccess
datasetViewer.programaticAccess1 itrend-ds:94233F2661964B0
datasetViewer.programaticAccess2 Temporada
datasetViewer.programaticAccess3 datasetViewer.programaticAccess4 datasetViewer.programaticAccess5 datasetViewer.here
```python
import pytrend
import pandas as pd
session = pytrend.itrend_developer_tools()
session.set_credentials(
access_key_id = '', # Type your access_key_id
secret_access_key = '' # Type your secret_access_key
)
# Dataset
dataset_id = 'itrend-ds:94233F2661964B0'
collection_id = 'Temporada'
# Get available formats
dataset_formats = session.get_dataset_formats(dataset_id)
fmt = dataset_formats[0] # Choose your preferred format: dataset_formats = [csv]
# Download file
response = session.download_file(dataset_id, fmt)
# Download an element
filename = response.get('filename')
delimiter = response.get('delimiter')
df = pd.read_csv(filename, delimiter)
element_formats = session.get_element_formats(dataset_id)
efmt = element_formats[0] # Choose your preferred format: element_formats = [csv, geojson, shp]
for r, row in df.iterrows():
element_id = row[collection_id]
element_response = session.download_file(dataset_id, efmt, element_id)
break
```
play_arrowdatasetViewer.attribution
datasetViewer.attributionMessage1
datasetViewer.attribution1 National Forestry Corporation, «Historical forest fire registry». datasetViewer.attribution2
file_copy
datasetViewer.attributionMessage2
datasetViewer.attribution3 National Forestry Corporation («Historical forest fire registry»), datasetViewer.attribution4
file_copy
play_arrowdatasetViewer.permanentLink
datasetViewer.permanentLinkDescription
https://www.plataformadedatos.cl/datasets/en/94233F2661964B0
file_copy
play_arrowdatasetViewer.metadata
datasetViewer.noMetadata