11 to 20 of 189 Results
R Syntax - 6,3 KB -
MD5: 47869a92fff0461efedc8c8645130189
for the operational version of the model, run this script to extract ndvi values from the most sustainable satellite images. This NDVI data comes from the HRVPP (High Resolution Vegetation Phenology and Productivity) collection of the Copernicus Global Land Service. This data is... |
R Syntax - 5,1 KB -
MD5: 46ceee75a989b962f1b9adaf5f815f7e
for the operational version of the model, run this script to extract LST values from images downloaded from NASA's AρρEEARS portal (Application for Extracting and Exploring Analysis Ready Samples). The selected products are MOD11A1v061 for MODIS and VNP21A1Dv002 for VIIRS. Both p... |
R Syntax - 5,6 KB -
MD5: 583ddc7d890daf0dd622566436aeb6f2
This script is meant to extract the NDVI values associated to each prospected site and decade that was downloaded from google earth engine after standardization (max ndvi value obtained from the red and near infrared light during 10 days intervals) |
R Syntax - 5,6 KB -
MD5: d0f4ddccab94bc2fa4946c2c9a6855c4
Extract the LST value associated to each prospection site and decade from the satellite image downloaded from google earth engine plateforme, initially used for preliminary model training |
R Syntax - 4,9 KB -
MD5: c6e249d3d36cb639f65b61d3ead40f82
For each observation point in the locust table we extract here the cumulated precipitation value during the associated decade. The selected precipitation data comes from the IRI (International Research Institute for Climate and Society of the Columbia Climate School) data library... |
R Syntax - 6,0 KB -
MD5: 9e60151761ffbd56f346e06c536fc65a
This script was used for preliminariy model explorations where we trained random forests on less historical locust data (2010-2020 period) but with more environmental predictors including here soil moisture. Initially developed by Olivier Merlin, the Dispatch package was used by... |
R Syntax - 5,9 KB -
MD5: 06c4c05295dc66b0ef3690aa55e0f2ca
As for the Soil Moisture exrtaction script, this script is not needed for final analysis but was used for preliminary model exploration. Data on net primary production (NPP) is given from the FAO and has been available every 10 days since 2009. Net primary production measures the... |
R Syntax - 5,8 KB -
MD5: c5ff233ac7a8cc541c1b198cf768543a
Create rasters where each pixel holds the information of the number of observations made on a 100 km buffer for a given date. Then from the locust table extract for each prospection site and decade the corresponding number of observation made on 100km buffer during the preceding... |
R Syntax - 4,9 KB -
MD5: 72ccc3bf1cd5c503f61e9d5cd4480064
Here we merge all previous environmental variables extractions together and add the static variables such as soil composition (% of sand cover at 5 cm depth), ecoregion units, minimum and maximum NDVI (during the study period) |
R Syntax - 11,5 KB -
MD5: 0718267e390517f780a8ac165924c2ac
For the operational version of the model, train the random forest analysis and test on the sustainable ndvi and lst products (we chose CGLS for ndvi and VIIRS for lst) |
