New Investigation and Challenge for Spatiotemporal Drought Monitoring Using Bottom-Up Precipitation Dataset (SM2RAIN-ASCAT) and NDVI in Moroccan Arid and Semi-Arid Rangelands

Zbiri, Asmae; Hachmi, Azeddine; Haesen, Dominique; Alaoui-Faris, Fatima Ezzahrae El

doi:10.2478/eko-2022-0010

Cited by 4 publications

(3 citation statements)

References 43 publications

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“…Copernicus land cover viewer data can be used to detect change of ecosystems. The visualization interface gives percentages of the classes of forests, shrubland, herbaceous vegetation, and bare/sparse vegetation (Zbiri et al, 2022b). The ecological modeling and performance of virtual work needs to be proven by more research in these areas (Hachmi et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Investigation of Flora, Soil, and Biodiversity of Ecosystems in Arid Eastern Moroccan Rangelands

Hachmi

Zbiri

Alaoui-Faris

2023

Ekológia (Bratislava)

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Recently, pastoral ecosystem has been strongly studied by naturalists. However, phytoecological research must focus on species richness and enhance these ecosystems. The main objective of this research is to prove that the Moroccan pastoral ecosystem is very rich in terms of soil biodiversity and plant formations. In such areas, some pastoral plants maintain the physicochemical characteristics of soil. The field experiment was based on Braun-Blanquet sampling method with 90 surveys. The vegetation surveys carried out during the spring of the 2014–2018 period showed that there were 30 families, 23 orders, and 99 plant species (47 perennial species and 52 annual or biennial species). Of the 99 species inventoried, 14 species are very rare (RR) (14% of the total flora), six are rare (R), five are suspected rare (R?), three species are extinct or of doubtful presence (??), two are vulnerable (or seem to be), in decline, and could become rare in the short term (V), and one is a suspected very rare taxon (RR?). Investigation of life forms based on Raunkiaer method showed that there were various plants in different life forms. Among them, terophytes (47%) and 2% phanerophytes had the highest and the lowest plant species, respectively. This work led us to discover six species (Atractylis cancellata, Carduus pycnocephalus, Scorzonera angustifolia, Telephium sphaerospermum, Teucrium luteum, and Androsace maxima) and five types of rangeland in eastern Morocco. Chorology results showed a high proportion of Mediterranean biogeographic species in the study area, with a percentage of 35%. North African species followed the Mediterranean, with 14%. Euro-Mediterranean species constituted the major flora in the arid regions and played a significant role in the Mediterranean rangelands with 8%. The percentage of North African and Eurasian species was 6%, followed by North African and Asian species forming 4% of the total species. Eurasian, Paleo temperate, and Mediterranean Asian species had the same percentage (3%). The remains represented a low percentage, but contributed to the diversity and the richness of phytogeographic potential in the rangelands of eastern Morocco.

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Section: Discussionmentioning

confidence: 99%

Investigation of Flora, Soil, and Biodiversity of Ecosystems in Arid Eastern Moroccan Rangelands

Hachmi

Zbiri

Alaoui-Faris

2023

Ekológia (Bratislava)

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“…Hence, the major challenges lie in the conditions under which SPP are obtained and/or generated, as well as in the effective integration of these two approaches in applications as top-down products are based on climate models and global observations, while bottom-up products rely on hydrological models and soil moisture data [14,21,22]. The heterogeneity of the data and differences in the spatial and temporal scales between the approaches raise challenges in synchronizing and calibrating hydrological models.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Bottom-Up Satellite Precipitation Products on River Streamflow Estimations in the Peruvian Pacific Drainage

Qquenta,

Rau,

Bourrel

et al. 2023

Remote Sensing

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In regions with limited precipitation information, like Peru, many studies rely on precipitation data derived from satellite products (SPP) and model reanalysis. These products provide near-real-time information and offer global spatial coverage, making them attractive for various applications. However, it is essential to consider their uncertainties when conducting hydrological simulations, especially in a key region like the Pacific drainage (Pd), where 56% of the Peruvian population resides (including the capital, Lima). This study, for the first time, assessed the performance of two bottom-up Satellite-based Precipitation Products (SPP), GPM + SM2RAIN and SM2RAIN-ASCAT, and one top-down approach SPP, ERA5-Land, for runoff simulation in the Pacific drainage of Peru. Hydrological modeling was conducted on 30 basins distributed across the Pd, which were grouped into 5 regions (I–V, ordered from south to north). The results showed that SM2RAIN-ASCAT performed well in regions I-III-IV, ERA5-Land in region II, and GPM + SM2RAIN in region V. The hydrological model GR4J was tested, and better efficiency criteria were obtained with SM2RAIN-ASCAT and GPM + SM2RAIN when comparing the simulated versus observed streamflows. The hydrological modeling using SM2RAIN-ASCAT and GPM + SM2RAIN demonstrated satisfactory efficiency metrics (KGE > 0.75; NSE > 0.65). Additionally, ten hydrological signatures were quantified to assess the variability of the simulated streamflows in each basin, with metrics such as Mean Flow (Q mean), 5th Quantile Flow (Q5), and 95th Quantile Flow (Q95) showing an overall better performance. Finally, the results of this study demonstrate the reliability of using bottom-up satellite products in Pd basins.

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“…In this context, remote sensing and geographic information systems (GIS) are irreplaceable and powerful tools, which help not only to map different changes in land cover and land use, but also to explore the health state and other indicators of green spaces (Drake et al, 2015;Hoerbinger et al, 2018). For these purposes, scientists have frequently been using one of the most widespread and reliable vegetation indexes -the Normalized Difference Vegetation Index (NDVI) (Gascon et al, 2016;Rouse et al, 1974;Su et al, 2019;Zbiri et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

A GIS Assessment of the Green Space Percentage in a Big Industrial City (Dnipro, Ukraine)

Buchavyi

Lovynska

Samarska

2023

Ekológia (Bratislava)

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Green spaces in an industrially polluted city are extremely important for the physical activity and mental health of its inhabitants. The study aim was to analyze the urban green space dynamics and the greening degree of different functional zones typical for a big Ukrainian industrial city (Dnipro, Ukraine). This article used the remote sensing methods and geographic information systems (GIS) to assess the percentage of green spaces in the city of Dnipro, its eight districts, parks, ravines, and sanitary protection zones. The Normalized Difference Vegetation Index (NDVI) was used for mapping the urban green spaces within the ravines, parks, and sanitary protection zones. According to our results, 67% of Dnipro city is greened (NDVI >0.3). On average, there are 219 m2 of green spaces per person, which is 24 and 4 times more than the minimum and optimal values recommended by the World Health Organization (WHO), respectively. It was found that the NDVI values were significantly lower in the territories of sanitary protection zones, compared to the other functional zones. The results of NDVI analysis indicate a significant variation of the studied parameter during the vegetative season, with two typical peaks of the green space vegetative activity. The peak of plant vegetative activity occurs in the first decade of June, followed by slight decline for 2–3 weeks, then there is another increase in the activity, reaching the maximum in mid-July. Even in autumn, the photosynthetic activity remains relatively high for most of the urban areas, declining only from mid-October. In addition, a method and algorithm for estimating and standardizing the level of the urban area greening based on the remote sensing methods and zonal statistics tools are proposed.

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New Investigation and Challenge for Spatiotemporal Drought Monitoring Using Bottom-Up Precipitation Dataset (SM2RAIN-ASCAT) and NDVI in Moroccan Arid and Semi-Arid Rangelands

Cited by 4 publications

References 43 publications

Investigation of Flora, Soil, and Biodiversity of Ecosystems in Arid Eastern Moroccan Rangelands

Investigation of Flora, Soil, and Biodiversity of Ecosystems in Arid Eastern Moroccan Rangelands

Assessment of Bottom-Up Satellite Precipitation Products on River Streamflow Estimations in the Peruvian Pacific Drainage

A GIS Assessment of the Green Space Percentage in a Big Industrial City (Dnipro, Ukraine)

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