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Inside the NDVI and extracted the corresponding values for all the
Within the NDVI and extracted the corresponding values for each of the IQP-0528 MedChemExpress sampling points inside the higher and high and low elevation marsh area. low elevation marsh area. 3. Outcomes 3. Results 3.1. Orthophoto three.1. Orthophoto The high-resolution orthomosaic generated by the UAV-acquired images allowed The high-resolution orthomosaic generated by the UAV-acquired pictures allowed mappingof both ecological zones represented by S. alterniflora and S. pumilus (Figure 5). mapping of each ecological zones represented by S. alterniflora and S. pumilus (Figure 5). The two vegetated regions have been compared using the corresponding 2012 GYKI 52466 Formula planting plan as well as the two vegetated locations were compared using the corresponding 2012 planting strategy and elevations supplied by the USACE. Comparisons of vegetation condition were made more than elevations offered by the USACE. Comparisons of vegetation condition had been created more than about one particular about 1 year employing the UAV surveys, and modifications in vegetation distributions were comusing the UAV surveys, and changes in vegetation distributions had been pared over a seven-year time frame, from 2012 to to 2019, applying UAV imagery and ascompared more than a seven-year time frame, from 2012 2019, working with thethe UAV imagery and constructed map (Figure five). as-built map (Figure 5).Figure 5. Maps in the initial plant configuration in Cell 1B ((A,B), and highlighted inside the zoomed plot of Figure 1) a georeferenced orthophoto was combined with an NDVI map inside the month of October 2019 (C). The white continuous line displays the original boundary between the S. pumilus (high marsh) and S. alterniflora (low marsh). Light green in plot C shows an invasion of the S. alterniflora in to the higher marsh zone of Cell 1B, reflected as a dark green.Remote Sens. 2021, 13,Figure five. Maps with the initial plant configuration in Cell 1B (A,B, and highlighted in the zoomed plot of Figure; 1) a georeferenced orthophoto was combined with an NDVI map in the month of October 2019 (C). The white continuous line displays the original boundary between the S. pumilus 9(higher of 19 marsh) and S. alterniflora (low marsh). Light green in plot C shows an invasion on the S. alterniflora in to the higher marsh zone of Cell 1B, reflected as a dark green.The outcomes in the RGB imagery processing are are shown in Figure the seasonal marsh The results in the RGB imagery processing shown in Figure six for 6 for the seasonal marsh variation 1B. Cell 1B.and summer months display “greener” “greener” the vegetation variation in Cell in Spring Spring and summer time months show colors for colors for the vegetationthe tidal in the tidal wetland, though pictures from the show a predominant brown portion of portion wetland, when photos from the fall season fall season show a predominant brown colour, withstill green. Figuregreen. Figurevisible variations among the two colour, with fewer zones fewer zones nevertheless six highlights six highlights visible differences between the two in response to colder temperatures. temperatures. marsh species marsh species in response to colderFigure six. Orthophotos from RGB camera images elaboration for the Cell 1B in the 5 months surveyed. (A) April 2019, Figure 6. Orthophotos from RGB camera pictures elaboration for the Cell 1B in the five months surveyed. (A) April 2019, (B) May perhaps 2019, (C) August 2019, (D) October 2019 and (E) November 2019. (B) May possibly 2019, (C) August 2019, (D) October 2019 and (E) November 2019.three.2. Vegetation Characterization by NDVI three.two. Vegetation Characterization by NDVI The NDVI index for.

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Author: HMTase- hmtase