last-ebd

Romine Velasquez

Romine Velasquez

I wanted to add a few more things about the fire that happened in late June in Doñana, now that a few days have passed and there is more time to reflect.

On the one hand, in the LAST-EBD, Ricardo Díaz-Delgado has developed a fire severity map using satellite images of Landsat 8 (pre- and post-fire) and using a recognized algorithm and evaluated to estimate severity of Fire with satellite imagery

A Landsat image was used on July 3 and compared to the previous available date. This mapping shows 4 severities based on a well-recognized procedure: the difference between the normalized burn ratio (NBR) of the previous image (June 17) minus the post-fire NBR.

Severity Mapping Of the Doñana fire using images of Landsat 8

Severity is often the first criterion to consider when planning any minimal post-fire management. As you can see in this fire, no extreme severity has been achieved (using the USGS scale). It should also be said that the image is not corrected atmospherically and therefore could vary slightly with an image of surface reflectivities. We have requested these corrected images and we are waiting to receive them.

Romine Velasquez
Romine Velasquez @RmarvtRomine

Our estimated burned area is about 1000 ha more than the official estimate of 8500 ha. We have estimated an affected area of ​​9547.69 ha. You can also see that in general the severity has been low (5400 ha) which is good news thinking about regeneration post fire.

This is the night light image collected by the SUOMI NPP satellite on June 25. It is difficult to see where the fire is since the light it generates is confused with the light of the city of Huelva. Overlapped in red are the thermal anomalies detected by MODIS

This is an image of average night illumination of the area for the year 2012 in which the population nuclei are well identified and it can be seen that Huelva does not extend as it seems in the previous image

This is the night light image of June 26 and superimposed on red thermal anomalies. Here we can see a series of light bulbs that do not coincide with inhabited nuclei and yet coincide with thermal anomalies. The temporal resolution of these images (currently one or two images per day) does not make them very useful for detection tasks or for the work of extinction; but they generate very useful products to compare the incidence of fires at a global level.

And on top of this comes an article published in Science, in the same week of the fire, which analyzes the incidence of fires globally in last 18, and of course, using satellite data. Curiously, compared to what seems to be the subjective impression one makes whenever there is a large fire nearby, both the burned area and the number of annual fires has decreased by 25% globally (for the entire planet) in the last 18 years. Interestingly, global patterns for predicting fire incidents do not predict this trend, which is explained by the increase in the extent and intensification of agriculture in the tropics of Africa and South America.

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