Climate Detectives Projects 2023-2024
Project title: biodiversity with satellitar data? A possible study
Liceo Cantone  Pomigliano D’arco  Italy
Connecting Earth Observation to High-Throughpu Biodiversity Data a possibile study?
In this project, the students analyse multispectral images to map the land surface of âRegi Lagni areaâ a vast surface area (equal to approximately 1300 km2), in particular, our study is related to Pomigliano dâArco city crossed by the riverbed/canal of âSanto Spiritoâ it rises to the left of the Regi Lagni stream in the heart of the Campania valley. These areas are characterized by the presence of dark, deep, well-drained, permeable, easily workable volcanic soils Figure 1
Limestone soils have a medium to moderately fine texture, with moderate drainage, and the water table which can also become very superficial during the humid season. through its colour changing the students monitoring changes of the biodiversity that are associated with the environment and climate of our territory. The study was performed by comparing the observed multispectral images to the real vegetation present in one of the most important our urban green areas named âParco delle acqueâ .The comparison shows a change in biodiversity in particular through a change of shades of green respecting the image and photos pin last years in the same period. The students engage that the monitoring of the colours of areas is essential to identify problems connected to climate change and to monitor changes in biodiversity of specific territory
Connecting Earth Observation to High-Throughpu Biodiversity Data a possibile study?
The students start the study with downloading and analysies the multispectral images related to a range time period by december 2022 to december 2023 The analisys was performed collecting data on the trend of the vegetation reflectance curve which is regulated at different wavelengths by the content and type of leaf pigments, the internal structure of the leaf and the water content. The students observed a changing in colour of elements which determine the characteristic behavior of vegetation in the visible bands (they absorb in blue and red and reflect in green) and in the near and medium infrared. As shown in Figure 2 the normalized difference vegetation index (NDVI) changing from 18 march 2023 to 14 february 2024 there are a variation in the number of green pixel. The students calculate the value of reflectance as this formula NDVI =NIR-Red/NIR+Red It is a measure of the state of vegetation health based on how plants reflect light at certain wavelengths. The value range of the NDVI is -1 to 1. Negative values of NDVI (values approaching -1) correspond to water. Values close to zero (-0.1to 0.1) generally correspond to barren areas of rock, sand, or snow. Low, positive values represent shrub and grassland (approximately 0.2 to 0.4), while high values indicate temperate and tropical rainforests (values approaching 1). The higher the value, the greater the vigor of the vegetation. Figure 3. In conclusion, the students observed a variation in the NDVI and in the shades of green in the same study area which demonstrates a change in the plant. species. .
Figure 2: the study performed by students on NDVI a of the same area in different period of the year
Figure 3: Reflectance variation of the same area of intrest
The students understand through this study the importance of monitoring biodiversity in our territory and they emphasize the role in sustaining ecosystem services, such as producing clean water and food; regulating and adapting to climate change; supporting nutrient cycles, maintaining health, and many other social and cultural benefits, are well known by the students. By the use of experimental activity, the students elaborate a specific project in which satellite data are correlated to real data obtained in the laboratory of our school. The idea is to create a laboratory protocol for the evaluation of the protection and safeguarding of our green urban area âParco delle Acqueâ The e specific behaviour for each of the following factors: leaf pigments, chlorophyll, which constitutes approximately 65% of the pigments, the pigments and the epidermis reaching the parenchyma and mesophyll can give direct information on the state which being more or less developed depending on the state of health of the plant, the specific variety and species and correlating to the satellite. The study was performed with the experimental activity known as Chromatography: from a leaf, 10 disks of known diameter are obtained (corresponding to approximately 0.5 g in weight milled) and the total surface area and their fresh weight are calculated. Next, the discs come placed in a previously pre-cooled mortar and, after adding liquid nitrogen or quartz crystals, the material is reduced to a very fine powder with the pestle. At the end of our separation, we will observe the following situation The identification of a compound can be made based on the distance travelled related to it of the front, i.e. calculating the RF value. RF = Start-band distance/ Start-front distance The evaluation will performed with the extraction of leaf pigments and chlorophyll and correlated them with the data with the multispectral image. Figure 4
Climate-Detectives-Busiello-R-23-242.pdf
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