Thank you very much, great video. Can you please make a tutorial of how to compare time series station precipitation with the satellite precipitation in a basin using GIS software and Excel. If you can't, can you please guide me how to do that. I have several point-based stations in a watershed, I want to compare it with the data of satellite. For the satellite, I took the mean of pixels using zonal statistics, and then multiplied by basin area, which gives us in m3. There are several methods, I want to know which one is the best.
Hi Sid, for this kind of work I normally use ClimateEngine: app.climateengine.org/climateEngine You can sample daily CHIRPS precipitation going back to 1981 using the coordinate of your ground station, and download in Excel format. Just remember that it is 5km pixel size, so CHIRPS is an average over a large area. Normally if you look at monthly or annual totals the correlation with measured values gets better. You can also upload a polygon of your catchment and get the mean daily CHIRPS precipitation. See my video on this: ua-cam.com/video/TPSN71KuOUM/v-deo.html I have found that CHIRPS is less accurate in coastal regions and high mountains, although the 'S' in CHIRPS stands for Station, so it has been corrected to some extent. All the best, Andreas
@Eng.Shihabalbalushi, I have been using ESRI ArcView/ArcGIS since 1999, but nowadays I use exclusively QGIS because it is all I need... so my GIS videos are only for QGIS. Regarding ET data I'm using MODIS ET/PET with 500m resolution. Normally I get the time series since 01/01/2000 - see: ua-cam.com/video/cUAtYyGI9mI/v-deo.html. I'm also going to start using FAO WaPOR, since they expanded the dataset to Asia. What exactly do you need to do? Make a map of ET? All the best, Andreas
I have never considered that one could add a link to a repository in an attribute table, to essentially extend the available data within a data set. That broadened my horizons. Good bye lousy pivot tables!
Cool, very helpful. Data download at just 1 click.
Thanks Nawaz! All the best, Andreas
Thank you very much, great video. Can you please make a tutorial of how to compare time series station precipitation with the satellite precipitation in a basin using GIS software and Excel. If you can't, can you please guide me how to do that. I have several point-based stations in a watershed, I want to compare it with the data of satellite. For the satellite, I took the mean of pixels using zonal statistics, and then multiplied by basin area, which gives us in m3. There are several methods, I want to know which one is the best.
Hi Sid, for this kind of work I normally use ClimateEngine: app.climateengine.org/climateEngine
You can sample daily CHIRPS precipitation going back to 1981 using the coordinate of your ground station, and download in Excel format. Just remember that it is 5km pixel size, so CHIRPS is an average over a large area. Normally if you look at monthly or annual totals the correlation with measured values gets better. You can also upload a polygon of your catchment and get the mean daily CHIRPS precipitation. See my video on this: ua-cam.com/video/TPSN71KuOUM/v-deo.html I have found that CHIRPS is less accurate in coastal regions and high mountains, although the 'S' in CHIRPS stands for Station, so it has been corrected to some extent. All the best, Andreas
Could you please make a video how to analysis ET data from usgs earth explorer in arcgis by using zoinal statistics
@Eng.Shihabalbalushi, I have been using ESRI ArcView/ArcGIS since 1999, but nowadays I use exclusively QGIS because it is all I need... so my GIS videos are only for QGIS. Regarding ET data I'm using MODIS ET/PET with 500m resolution. Normally I get the time series since 01/01/2000 - see: ua-cam.com/video/cUAtYyGI9mI/v-deo.html. I'm also going to start using FAO WaPOR, since they expanded the dataset to Asia. What exactly do you need to do? Make a map of ET? All the best, Andreas
Thanks for this lesson, it is very helpfull.
You are welcome! All the best Andreas
Thank very much ❤
You're welcome! All the best, Andreas
I have never considered that one could add a link to a repository in an attribute table, to essentially extend the available data within a data set. That broadened my horizons. Good bye lousy pivot tables!
You are welcome Brendan! All the best, Andreas