From e5f7f289a2d4df1fae45aca9910987a964b0628d Mon Sep 17 00:00:00 2001 From: Knut Dagestad Rand Date: Thu, 5 Sep 2024 09:40:46 +0200 Subject: [PATCH 1/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1a436f4..03fd4ff 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,7 @@ Region names that are not recognized are skipped: ``` ## Fetching climate data -Fetching climate data through Google Earth Engine. The following example fetches temperature data from the ERA5 dataset for the regions of interest. +Fetching climate data through Google Earth Engine. The following example fetches temperature data from the ERA5 dataset for the regions of interest. You need to have an an account at gee, and pass the credentials to the method to make this work: https://developers.google.com/earth-engine/guides/auth ```python From dabe2b8f245350a52f39294fb42a15c739d9c635 Mon Sep 17 00:00:00 2001 From: Knut Dagestad Rand Date: Thu, 5 Sep 2024 09:41:19 +0200 Subject: [PATCH 2/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 03fd4ff..6c9f252 100644 --- a/README.md +++ b/README.md @@ -37,7 +37,7 @@ Fetching climate data through Google Earth Engine. The following example fetches import climate_health.fetch credentials = dict(account='demoaccount@demo.gserviceaccount.com', private_key='private_key') - polygons = open("../example_data/Organisation units.geojson").read() + polygons = open("polygon_file.geojson").read() start_period = '202001' # January 2020 end_period = '202011' # December 2020 band_names = ['temperature_2m', 'total_precipitation_sum']