Identifying Drought Severity Using Time Series Analysis Method by SPEI Dataset From 1980-2023 in GEE
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- Опубліковано 20 вер 2024
- In this video, we explore how to identify drought severity using time series analysis with the SPEI dataset in Google Earth Engine, covering data from 1980 to 2023. Starting with the HydroBASINS level 6 dataset, we define our region of interest and visualize it on the map. We then delve into filtering the SPEI dataset to focus on the 12-month index, and proceed to calculate the mean SPEI values across our study area.
By classifying the drought severity into categories-ranging from severe drought to no drought-we create a clear temporal classification. Finally, we generate a time series chart that beautifully illustrates the drought conditions over the last four decades. Whether you're interested in climate analysis or Earth Engine scripting, this tutorial will equip you with essential skills to analyze drought patterns effectively. @TerraSpatial
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Code link: code.earthengi...
Standardised Precipitation-Evapotranspiration Index database: developers.goo...
WWF HydroSHEDS Basins Level 6:
developers.goo...
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#drought #timeseriesanalysis #SPEI #googleearthengine #earthengine
Great and clear work 👍👍
Thank you for your excellent contribution in this field. Kindly, can you provide a detailed video on: first classification of agriculturall land from others in a district level, then creating soil organic cabon map by gee? You can use random sampling points and soil organic carbon data.
Waiting for GW modeling tutorial..
Thanks. Nice video
Most welcome
does it only have to be a point or I can use a polygon as a study area
hi dear friends. i need your Instructions for calculating the SPEI index. Can you send it to me please?
Hi Zahra Seyed Mousavi, may i know what kind of Instruction, anything specific? please elaborate it
How to download spei data specific year