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Additional fixes for tutorial dedicated to groundwater recharge calculation with EE #846

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Additional fixes for tutorial dedicated to groundwater recharge calculation with EE #846

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c5a7663
replace deprecated MODIS Collection
guiattard Jul 22, 2024
50d972b
fix values considering the use of the new MODIS collection.
guiattard Jul 22, 2024
ac36f4f
fix formulae to fit the code and the reference paper
guiattard Jul 22, 2024
20dba1c
aknowledge Saeed and Wilfried for corrections.
guiattard Jul 22, 2024
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12 changes: 6 additions & 6 deletions tutorials/groundwater-recharge-estimation/index.ipynb
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Expand Up @@ -46,7 +46,7 @@
"\n",
"In the second part, [OpenLandMap datasets](https://developers.google.com/earth-engine/datasets/tags/opengeohub) related to soil properties will be explored. The wilting point and field capacity of the soil will be calculated by applying some mathematical expressions to multiple images.\n",
"\n",
"In the third part, [evapotranspiration](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD16A2) and [precipitation](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY) datasets will be imported. A function will be defined to resample the time resolution of an `ee.ImageCollection` and to homogenize time index of both datasets. Both datasets will then be combined into one.\n",
"In the third part, [evapotranspiration](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD16A2GF) and [precipitation](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY) datasets will be imported. A function will be defined to resample the time resolution of an `ee.ImageCollection` and to homogenize time index of both datasets. Both datasets will then be combined into one.\n",
"\n",
"In the fourth and final part, the Thornthwaite-Mather(TM) procedure will be implemented by iterating over the meteorological `ee.ImageCollection`. Finally, a comparison between groundwater recharge in two places will be described and the resulting mean annual groundwater recharge will be displayed over France."
]
Expand Down Expand Up @@ -721,7 +721,7 @@
"\n",
"The meteorological data used in our implementation of the TM procedure relies on the following datasets:\n",
"- [Climate Hazards Group InfraRed Precipitation](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY) with Station data (CHIRPS) gives precipitations on a daily basis (resolution of 5 km),\n",
"- [MODIS Terra Net](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD16A2) gives evapotranspiration on a 8-days basis (resolution of 500 m).\n",
"- [MODIS Terra Net](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD16A2GF) gives evapotranspiration on a 8-days basis (resolution of 500 m).\n",
"\n",
"Both datasets are imported as follows, specifying the bands of interest using [`.select()`](https://developers.google.com/earth-engine/apidocs/ee-imagecollection-select) and the period of interest using [`.filterDate()`](https://developers.google.com/earth-engine/apidocs/ee-imagecollection-filterdate)."
]
Expand All @@ -743,7 +743,7 @@
"\n",
"# Import potential evaporation PET and its quality indicator ET_QC.\n",
"pet = (\n",
" ee.ImageCollection(\"MODIS/006/MOD16A2\")\n",
" ee.ImageCollection(\"MODIS/061/MOD16A2GF\")\n",
" .select([\"PET\", \"ET_QC\"])\n",
" .filterDate(i_date, f_date)\n",
")"
Expand Down Expand Up @@ -1205,7 +1205,7 @@
"***Case 2.1: the storage $ST_{m}$ is higher than the water stored at the field capacity.***\n",
"\n",
"If $ST_{m} \u003e ST_{FC}$ the recharge is calculated as:\n",
"$R_{m} = ST_{m} - ST_{FC} + P_{m} - PET_{m}$\n",
"$R_{m} = ST_{m} - ST_{FC}$\n",
"\n",
"In addition, the water stored at the end of the month $m$ becomes equal to $ST_{FC}$ and $APWL_{m}$ is set equal to zero.\n",
"\n",
Expand Down Expand Up @@ -1731,7 +1731,7 @@
"id": "kBwuvxPpT0-N"
},
"source": [
"The result shows that the annual recharge in Lyon is almost twice as high as in the area of Montpellier. The result also shows a great variability of the annual recharge ranging from 98 mm/y to 258 mm/y in Lyon and from 16 mm/y to 147 mm/y in Montpellier."
"The result shows that the annual recharge in Lyon is almost twice as high as in the area of Montpellier. The result also shows a great variability of the annual recharge ranging from 99 mm/y to 275 mm/y in Lyon and from 17 mm/y to 158 mm/y in Montpellier."
]
},
{
Expand Down Expand Up @@ -1891,7 +1891,7 @@
"source": [
"### Acknowledgements\n",
"\n",
"Thanks to Susanne Benz for precious advice."
"Thanks to Susanne Benz for precious advice. Thanks to Saeed Mhanna and Wilfried Datchoua for additional reviews and corrections."
]
}
],
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