Organization: PEcAn Project
Student: Ayush Prasad
Mentors: Istem Fer
PEcAn is an ecological informatics toolbox that makes process-based ecosystem models easier to run. The aim of this project was to add ICOS as an input data source for PEcAn's meteorological data processing pipeline. This would allow models to be driven using the data collected by the wide network of ICOS ground stations across Europe. The other objective of this project was to add a GEDI data source to the remote data module.
Organization: PEcAn Project
Student: Ayush Prasad
Mentors: Istem Fer, Shawn Serbin, Olli Nevalainen
This project aimed to develop a pipeline for ingesting remote sensing data in PEcAn. For this purpose, the data.remote module was extended to establish connections with Google Earth Engine and AppEEARS which now allows submitting data requests to these sources from the PEcAn workflow and stores the output in BETYdb for further analysis.
| existing_data <- inputs %>% select(start_date, end_date, name) %>% filter(site_id==Y) | |
| if (existing_data>1){ | |
| if (!is.null(process_data)){ | |
| # construct file names, will be used for querying the db | |
| process_file = process_file.nc | |
| raw_file = raw_file.nc | |
| # check if processed file exists with overlapping date |
| """ | |
| Downloads SMAP Global Soil Moisture Data from Google Earth Engine and saves it in a netCDF file. | |
| Requires Python3 | |
| Author: Ayush Prasad | |
| """ | |
| import ee | |
| import pandas as pd | |
| import geopandas as gpd | |
| import os |
| import satellitetools.gee as gee | |
| import satellitetools.biophys_xarray as bio | |
| import geopandas as gpd | |
| import os | |
| def s2all(geofile, outdir, choice, start, end, qi_threshold): | |
| """ | |
| Downloads sentinel 2 data and calculates one of NDVI, LAI, FAPAR. All of these are performed using satellitetools created by Olli Nevalainen. | |
| import xarray as xr | |
| import satellitetools.biophys_xarray as bio | |
| from satellitetools import gee | |
| import geopandas as gpd | |
| import os | |
| def select_data_LAI(pathtoinputfile, outdir): | |
| ds_disk = xr.open_dataset(pathtoinputfile) | |
| #calculating LAI |
| from satellitetools import gee | |
| import geopandas as gpd | |
| import os | |
| def select_data(geofile, outdir, start, end, qi_threshold): | |
| # read in the input file containing coordinates | |
| df = gpd.read_file(geofile) |
| #include <stdio.h> | |
| int fact(int n); | |
| int main(){ | |
| int num; | |
| scanf("%d", &num); | |
| int i = 0; | |
| while(i != num){ //calling the factorial function upto n times |
