Benny Istanto bennyistanto
bennyistanto
/ tur_economic_monitor_charts.ipynb
Created
December 10, 2023 16:38
Turkey Economic Monitor - plot
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
bennyistanto
/ Propagation_Met2Hyd_Drought_Using_CCA.ipynb
Last active
December 10, 2023 16:36
Propagation Meteorological to Hydrological Drought using cross-correlation analysis at the pixel level
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
bennyistanto
/ Steps_to_Generate_SPI_Using_CHIRPS_Data.ipynb
Last active
May 17, 2024 10:10
Steps to Generate Standardized Precipitation Index Using CHIRPS Data
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
bennyistanto
/ Steps_to_Generate_SSI_Using_GloFAS-ERA5_Data.ipynb
Last active
December 10, 2023 16:37
Steps to Generate Standardized Streamflow Index (SSI) Using GloFAS-ERA5 Data
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
bennyistanto
/ OSS_Phenology_ZonalStats_Categorical_and_Join_Tables_admin1.ipynb
Last active
November 15, 2023 12:41
Zonal Statistics with Categorical
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
bennyistanto
/ OSS_ZonalStats_regular_era5land.ipynb
Created
November 15, 2023 00:44
Zonal Statistics using rasterstats on ERA5-Land temperature and admin boundaries, then join the csv's into single csv file.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
bennyistanto
/ OSS_ZonalStats_regular_CHIRPS.ipynb
Last active
November 15, 2023 00:43
Zonal Statistics using rasterstats on CHIRPS and admin boundaries, then join the csv's into single csv file.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
bennyistanto
/ modis_quarter.py
Created
November 7, 2023 23:19
MXD13Q1 quarter mean (JFM, AMJ, JAS, OND) from 8-day data
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # -*- coding: utf-8 -*- | |
| """ | |
| NAME | |
| modis_quarter.py | |
| MXD13Q1 quarter mean (JFM, AMJ, JAS, OND) from 8-day data | |
| DESCRIPTION | |
| Input data for this script will use MXD13Q1 8-days data generate from GEE or downloaded from NASA | |
| This script can do MEAN calculation to derive quarter data (JFM, AMJ, JAS, OND) | |
| REQUIREMENT | |
| ArcGIS must installed before using this script, as it required arcpy module. |
bennyistanto
/ 08_mxd13q1_stats_quarter.py
Last active
March 13, 2024 08:15
MXD13Q1 quarter statistics data, long-term average, max, min and stdev
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # -*- coding: utf-8 -*- | |
| """ | |
| NAME | |
| 08_mxd13q1_stats_quarter.py | |
| MXD13Q1 quarter statistics data, long-term average, max, min and stdev | |
| DESCRIPTION | |
| Input data for this script will use MXD13Q1 quarter data generate from modis_quarter.py | |
| This script can do annual statistics calculation (AVERAGE, MAXIMUM, MINIMUM and STD) | |
| REQUIREMENT | |
| ArcGIS must installed before using this script, as it required arcpy module. |
bennyistanto
/ modis_viproducts_quarter.py
Created
November 7, 2023 23:11
Generate derivative product from Vegetation Indices per quarter
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # -*- coding: utf-8 -*- | |
| """ | |
| NAME | |
| modis_viproducts_quarter.py | |
| Generate derivative product from Vegetation Indices | |
| DESCRIPTION | |
| Input data for this script will use MXD13Q1 8-days data generate from GEE or downloaded | |
| from NASA. This script can do calculation for ratio, difference, standardize anomaly | |
| and vegetation condition index. | |
| The calculation required timeseries VI and the long-term statistics (min, mean, max, std) |