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Tytuł:
Detection and classification of vegetation areas from red and near infrared bands of LANDSAT-8 optical satellite image
Autorzy:
Nallapareddy, Anusha
Powiązania:
https://bibliotekanauki.pl/articles/2097428.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
classification
remote sensing
soil adjusted vegetation index
normalized difference vegetation index
vegetation
Opis:
Detection and classification of vegetation is a crucial technical task in the management of natural resources since vegetation serves as a foundation for all living things and has a significant impact on climate change such as impacting terrestrial carbon dioxide (CO2). Traditional approaches for acquiring vegetation covers such as field surveys, map interpretation, collateral and data analysis are ineffective as they are time consuming and expensive. In this paper vegetation regions are automatically detected by applying simple but effective vegetation indices Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) on red(R) and near infrared (NIR) bands of Landsat-8 satellite image. Remote sensing technology makes it possible to analyze vegetation cover across wide areas in a cost-effective manner. Using remotely sensed images, the mapping of vegetation requires a number of factors, techniques, and methodologies. The rapid improvement of remote sensing technologies broadens possi-bilities for image sources making remotely sensed images more accessible. The dataset used in this paper is the R and NIR bands of Level-1 Tier 1 Landsat-8 optical remote sensing image acquired on 6th September 2013, is processed and made available to users on 2nd May 2017. The pre-processing involving sub-setting operation is performed using the ERDAS Imagine tool on R and NIR bands of Landsat-8 image. The NDVI and SAVI are utilized to extract vegetation features automatically by using python language. Finally by establishing a threshold, vegetation cover of the research area is detected and then classified.
Źródło:
Applied Computer Science; 2022, 18, 1; 45--55
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Drought Detection by Application of Remote Sensing Technology and Vegetation Phenology
Autorzy:
Uttaruk, Y.
Laosuwan, T.
Powiązania:
https://bibliotekanauki.pl/articles/125427.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
drought detection
remote sensing
vegetation phenology
Opis:
Drought is a natural phenomenon as it often occurs in the area of Yasothon province, northeastern of Thailand. It causes effects on vegetation condition in the area. Drought information might be useful for local government to prepare for prevention and mitigation plan in the future. For this reason, the primary objective of the research was to conduct the examination of this province to find severe drought years. Firstly, the researcher needed to find Normalized Differences Vegetation Index (NDVI) and Vegetation Condition Index (VCI) by analyzing monthly Landsat data acquired at different periods of time from January to December 2014, 2015, and 2016, covering 4,096 km2. Then, the researcher needed to find relationship between VCI and monthly rainfall represented in term of space and time. As results, VCI and its relationship with monthly rainfall were congruent. VCI showed that the drought area was 33.87% or 1,387.32 km2 of studied area in 2014, 16.24% or 665.19 km2 of studied area in 2015 and 27.95% or 1,144.83 km2 of studied area in 2016. Therefore, the most and the least severe drought years were 2014, 2016, and 2015 respectively.
Źródło:
Journal of Ecological Engineering; 2017, 18, 6; 115-121
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integration Remote Sensing and Meteorological Data to Monitoring Plant Phenology and Estimation Crop Coefficient and Evapotranspiration
Autorzy:
Hassan, Diaa Fliah
Abdalkadhum, Aysar Jameel
Mohammed, Rafal J.
Shaban, Amin
Powiązania:
https://bibliotekanauki.pl/articles/2086414.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
actual evapotranspiration
crop coefficient
remote sensing
vegetation index
Opis:
The water requirements of the wheat crop are represented by the actual evapotranspiration, which depends on the meteorological data of the study area and the amount of water consumed during the season. Estimation of crop coefficients (Kc) and evapotranspiration (ETc) using remote sensing data is essential for decision-making regarding water management in irrigated areas in arid and semi-arid large-scale areas. This research aims to estimate the crop coefficient calculated from remote sensing data and the actual evapotranspiration values for the crop. The FAO Penman-Monteith equation has been used to estimate the reference evapotranspiration from meteorological data. Linear regression analysis was applied by developing prediction equations for the crop coefficient for different growth stages of comparing with the vegetation cover index (NDVI). The results showed that (R2 = 0.98) between field crop coefficient and crop coefficient predicted from (Kc = 2.0114 NDVI-0.147) in addition to (RMSE = 0.92 and (d = 0.97).
Źródło:
Journal of Ecological Engineering; 2022, 23, 4; 325--335
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial mapping of the leaf area index using remote sensing and ground measurements – the Biebrza National Park case study
Autorzy:
Ignar, Stefan
Szporak-Wasilewska, Sylwia
Gregorczyk, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/36062944.pdf
Data publikacji:
2023
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
leaf area index
wetlands
remote sensing
spectral vegetation indices
Biebrza
Opis:
The purpose of the described research was an attempt to estimate the leaf area index (LAI) parameter describing the structure of the vegetation based on the Landsat 5TM satellite imagery and field measurements made with the use of an optical plant canopy analyzer. The study was carried out in north-eastern Poland in the Biebrza river valley within the boundaries of the Biebrza National Park during the growing season of the year 2007. There were 13 spectral indices given in the literature known to be correlated with the LAI. The highest coefficient of determination and the highest correlation coefficient were obtained for the normalized difference vegetation index (NDVI) and the soil adjusted vegetation index (SAVI) indices for the wetland areas in the Biebrza river valley. The field measurements of the leaf area index and its spatial representation on satellite image show that the vegetation of natural river valleys is characterized by high spatial and seasonal variability. The study of the LAI on such large natural areas that are extensively used also requires knowledge of the methods of land use and the application of individual agrotechnical measures.
Źródło:
Scientific Review Engineering and Environmental Sciences; 2023, 32, 2; 175-185
1732-9353
Pojawia się w:
Scientific Review Engineering and Environmental Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Satellite Monitoring Data for Winter Cereals Growing in the Lviv Region
Autorzy:
Stupen, Mykhailo
Stupen, Nazar
Ryzhok, Zoriana
Stupen, Oksana
Powiązania:
https://bibliotekanauki.pl/articles/1837988.pdf
Data publikacji:
2020
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
geoinformation system
remote sensing
stages of crop development
vegetation index
Opis:
The authors applied satellite monitoring data of agricultural lands of the geographic information system of International Production Assessment Division of the United States Department of Agriculture on the example of winter cereal cultivation. The authors did so according to the indices of vegetation index NDVI, information on atmospheric precipitation, soil moisture, and air temperature compared to Earth observations to estimate the condition of their sowing area. According to the research results, one can use remote sensing data of the IPAD USDA geographic information system to monitor agricultural land, yield capacity prediction and the estimation of gross agricultural products.
Źródło:
Geomatics and Environmental Engineering; 2020, 14, 4; 69-80
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Korelacje naziemnych i lotniczych teledetekcyjnych wskaźników roślinności dla zlewni Bystrzanki
Correlations of ground- and airborne-level acquired vegetation indices of the Bystrzanka catchment
Autorzy:
Jarocińska, A.
Zagajewski, B.
Powiązania:
https://bibliotekanauki.pl/articles/132257.pdf
Data publikacji:
2008
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
zlewnia rzeki
roślinność
teledetekcja
wskaźnik
river basin
vegetation
indices
remote sensing
Źródło:
Teledetekcja Środowiska; 2008, 40; 100-124
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of radiometric correction on the processing of UAV images
Autorzy:
Kędziorski, Piotr
Kogut, Tomasz
Oberski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/29521061.pdf
Data publikacji:
2023
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
remote sensing
drone
UAV
vegetation index
radiometric correction
Pix4D
Opis:
Radiometric correction is a process that is often neglected when developing unmanned aerial vehicle (UAV) images. The aim of the work was to test the radiometric correction of images taken from a Parrot Sequoia+ camera mounted on UAV. Therefore, a script was written in Matlab environment to enable radiometric correction of the obtained images. The images were subjected to the correction process using the Matlab script and the commercial software Pix4D. The results were compared, and the study found a significant improvement in the radiometry in both cases. The computational process eliminated the influence of variable in-flight insolation caused by cloud cover. The software developed for the article was found to be as good as the commercial one.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2023, 73 (145); 5-14
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of the Research on Spatio-Temporal Differentiation of a Vegetation Index in Evaluating Sunflower Hybrid Plasticity and Growth-Regulators in the Steppe Zone of Ukraine
Autorzy:
Pichura, Vitalii
Domaratskiy, Yevhenii
Potravka, Larisa
Biloshkurenko, Oleksandra
Dobrovol'skiy, Andrey
Powiązania:
https://bibliotekanauki.pl/articles/24201739.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
sunflower
growth-regulatory preparation
climate
vegetation
NDVI
Steppe zone
remote sensing
Opis:
The purpose of the study was to establish dependence of sunflower productivity on hybrid plasticity under the climatic conditions of the Steppe zone and effectiveness of growth-regulators on the basis of the analysis of differentiation of a vegetation index. The research on the development and productivity of different sunflower hybrids under the natural-climatic conditions of the Steppe zone of Ukraine was conducted in the years of 2019 (medium-wet), 2020 (dry) and 2021 (wet). Spatio-temporal differentiation of the vegetation of sunflower hybrids was established on the basis of calculation of a normalized difference vegetation index (NDVI) using the data of the decoded space images of Sentinel 2. Cartographic and grapho-analytical materials reflecting the reaction of plants to natural-climatic conditions and multifunctional growth-regulators were obtained. The dependence of the reaction of sunflower hybrids to multifunctional growth-regulators on their plasticity in response to the natural-climatic conditions of the Steppe zone was established. There was a weak reaction to application of growth-regulators of the sunflower hybrids Oplot and P64HE133 which are characterized by a high level of plasticity in response to the natural-climatic conditions of the Steppe zone. It was proven that the application of the biological preparation Helafit Combi exceeded the level of agrocenoses productivity in comparison with the chemical preparation ArchitectТМ by 1.1-5.4%. It was established that foliar treatment with growth-regulators led to a decline in water uptake by the sunflower hybrids by 1.2–10.0% in the dry year, by 3.8–8.6% in the medium-wet year and by 3.7%–21.9% in the wet year. There was a significant reduction in the level of water uptake by the hybrid Hector – by 7.7–10.0% and the hybrid 8KH477KL – by 1.2–21.9%. The research results are the basis for forecasting the development of sunflower hybrid crops with further measurement of the crop productivity that allows establishing a probable level of efficiency of sunflower hybrid production by agricultural producers under the climatic conditions of the Steppe zone.
Źródło:
Journal of Ecological Engineering; 2023, 24, 6; 144--165
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Maska obszarów rolniczych dostosowana do monitoringu wzrostu roślin uprawnych w polsce przy użyciu szeregów czasowych NOAA-AVHRR
Agriculture mask for crop growth monitoring in Poland using NOAA-AVHRR time series
Autorzy:
Turlej, K.
Bojanowski, J.
Bartold, M.
Powiązania:
https://bibliotekanauki.pl/articles/130458.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
piksel
wskaźniki roślinne
teledetekcja
GIS
NOAA AVHRR
pixel
vegetation indices
remote sensing
Opis:
Low spatial resolution of the NOAA-AVHRR images causes that observation footprints of the pixels can overlay the surface of more than one land cover type. The pure signal can be obtained for pixels covering only one land cover class. The extraction of the vegetation index (e.g. NDVI) for one land cover class can be interfered by the presence of other classes within the surface covered by a pixel. Additionally, the inaccuracy of the geometric correction of satellite images can increase the possibility that analysed pixel covers different land cover type than could be expected based on the analysis of the land cover map overlaid on the satellite image. In this study, we presented a new agriculture mask for Poland developed from the CORINE Land Cover 2006 database. The mask of one-kilometre spatial resolution indicates the pixels of the NOAAAVHRR, which should be used for calculation of mean vegetation indices for regions (i.e. voivodeships or provinces). The proposed mask preserves the uniform spatial distribution of pixels within each Polish region. To validate the new mask, we calculated twelve-year-long time series (1997-2008) of Vegetation Condition Index and Temperature Condition Index of agriculture areas for each voivodeship in Poland. The newly received time series of voivodeships showed higher correlation with crop yield than when using the classical agriculture mask, which classifies a pixel as agricultural if at least 50% of its area is covered by the agriculture land.
Niska rozdzielczość przestrzenna materiału zdjęciowego NOAA-AVHRR powoduje, że często w obszarze jednego piksela znajduje się więcej niż jedna klasa pokrycia terenu. W przypadku, gdy odczyt wskaźnika roślinnego (np. NDVI) wykonywany jest z pikseli należących tylko do jednej klasy pokrycia terenu, otrzymywana wartość jest bardziej reprezentatywna. Natomiast, gdy w obszarze piksela znajduje się więcej niż jedna klasa pokrycia terenu, wartość wskaźnika dla określonej klasy jest zaburzana obecnością innych klas. Podobne błędy wynikają z niedokładności geometryzacji zdjęć. W niniejszym opracowaniu prezentowana jest metodologia utworzenia na podstawie bazy CORINE Land Cover 2006 warstwy tematycznej wskazującej piksele obrazów NOAA-AVHRR, które najlepiej służą do odczytów wartości wskaźników roślinnych z obszarów rolniczych. Proponowana metodologia pozwala na uzyskanie równomiernego rozkładu pikseli, dla których wykonywane są odczyty wartości wskaźników roślinnych dla obszaru Polski. Do oceny proponowanej maski pikseli rolniczych wyliczono wartości średnie wskaźników roślinnych VCI oraz TCI dla województw na podstawie bazy danych NOAA-AVHRR (1997-2008). Ciągi czasowe wskaźników, wykazały wyższą korelację z plonem zbóż dla proponowanej maski w porównaniu do maski o stałym progu 50%.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2013, 25; 233-242
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Characterizing surface and air temperature in the Baltic Sea coastal area using remote sensing techniques and GIS
Autorzy:
Chybicki, A.
Kulawiak, M.
Łubniewski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/963420.pdf
Data publikacji:
2016
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
remote sensing
coastal zone
AVHRR
GIS
surface temperature
air temperature
vegetation index
Opis:
Estimation of surface temperature using multispectral imagery retrieved from satellite sensors constitutes several problems in terms of accuracy, accessibility, quality and evaluation. In order to obtain accurate results, currently utilized methods rely on removing atmospheric fluctuations in separate spectral windows, applying atmospheric corrections or utilizing additional information related to atmosphere or surface characteristics like atmospheric water vapour content, surface effective emissivity correction or transmittance correction. Obtaining accurate results of estimation is particularly critical for regions with fairly non-uniform distribution of surface effective emissivity and surface characteristics such as coastal zone areas. The paper presents the relationship between retrieved land surface temperature, air temperature, sea surface temperature and vegetation indices (VI) calculated based on remote observations in the coastal zone area. An indirect comparison method between remotely estimated surface temperature and air temperature using LST/VI feature space characteristics in an operational Geographic Information System is also presented.
Źródło:
Polish Maritime Research; 2016, 1; 3-11
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Investigation of The Forests of Pernik Province (Western Bulgaria) by The Use of The Perpendicular Vegetation Index (PVI)
Autorzy:
Grigorov, Borislav
Powiązania:
https://bibliotekanauki.pl/articles/27314834.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
remote sensing
biomass
vegetation index
Landsat
teledetekcja
biomasa
wskaźnik roślinności
Bułgaria zachodnia
Opis:
The current research represents a pilot study for application of the Perpendicular Vegetation Index (PVI) for an area with forests in Bulgaria. It is the first of its kind when it comes to forest studying in the country to the best knowledge of the author. When it comes to soil background Landsat images and other spectral data may be used for monitoring forest territories as well. The study area is Pernik Province which is located in the western parts of Bulgaria. The main aim is to investigate the PVI for the forests of Pernik Province. The index has been calculated by the application of Landsat 8 bands. The PVI has been processed for several months of different years. The main focus is both on the beginning and the end of the growing season when there are significant changes in leaf biomass. The results are promising and show typical vegetation features in the beginning of the growing season (April), a well-developed vegetation (July) and a steadily decreasing biomass in November.
Źródło:
Civil and Environmental Engineering Reports; 2022, 32, 4; 96--104
2080-5187
2450-8594
Pojawia się w:
Civil and Environmental Engineering Reports
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial analysis of vegetal cover and sediment yield in Tapacura river catchment based on remote sensing and GIS
Analiza przestrzenna ilosci sedymentu oraz pokrywy roslinnej w zlewni rzeki Tapacura okreslona na podstawie zdalnych obserwacji oraz analizy GIS
Autorzy:
Silva, R M
Santos, C.A.G.
Gico Lima Montenegro, S.M.
Silva, L.P.
Powiązania:
https://bibliotekanauki.pl/articles/81843.pdf
Data publikacji:
2010
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
spatial analysis
vegetation cover
sediment yield
Tapacura River
catchment
remote sensing
GIS analysis
Opis:
Mapping and assessment of erosion risk is an important tool for planning of natural resources management, allowing researchers to propose modifi cation in land-use properly and implement more sustainable management strategies in the long-term. The Tapacurá river catchment, located in Pernambuco State, Northeastern Brazil, is one of the planning units for management of water resources of Recife Metropilitan Region (RMR), and it is divided into 12 sub-basins. The objective of this study is to evaluate the spatial variability of vegetal cover and sediment yield in this basin through remote sensing and GIS techniques. Maps of the erosivity (R), erodibility (K), topographic (LS), cover-management (C) and support practice (P) factors were derived from the digital elevation model (DEM), climate database, and soil and NDVI maps, taking into account information available in the literature. In order to validate the simulation process, Sediment Delivery Ratio (SDR) was estimated. The obtained NDVI map showed vegetation loss during the analyzed period, indicating a distinct contrast between loss and gains of vegetation index. The vegetation and sediment yield mapping showed to be a useful tool for environmental monitoring and management, which can provide satisfactory results when jointly used. The results suggest a mean SDR around 0.9 and estimate the sediment yield as 23.98 ton/ha/month.
Analiza przestrzenna ilości sedymentu oraz pokrywy roślinnej w zlewni rzeki Tapacura określona na podstawie zdalnych obserwacji oraz analizy GIS. Artykuł przedstawia sposób wykorzystania zebranych w terenie danych dotyczących pokrywy roślinnej oraz ilości sedymentu określonego za pomocą zdalnych obserwacji oraz analizy GIS w celu monitorowania środowiska i zarządzania zlewniami. W pracy wykorzystano metodę USLE-SDR, a także cyfrowy model terenu. Badania prowadzono w zlewni rzeki Tapacura w północno-wschodniej Brazylii. Wyniki sugerują przyjęcie wartości parametru SDR = 0,9, a oszacowana wielkość transportu rumowiska wynosi 23,98 t/ha/miesiąc.
Źródło:
Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation; 2010, 42, 1; 5-16
0208-5771
Pojawia się w:
Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of remote sensing indices in determining the interrelation between condition of tree stands and myrmecofauna in forests of Wigry National Park
Autorzy:
Chiliński, M.T.
Czajkowska, K.
Krzysztofiak, L.
Mazurkiewicz, P.J.
Powiązania:
https://bibliotekanauki.pl/articles/2130428.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu
Tematy:
red wood ants
myrmecofauna
forest ecosystems
vegetation indices
remote sensing
RPAS
drone
NDVI
Opis:
Presented work is aimed at investigating potential correlations between remote sensing vegetation indices and local ant populations. Research was conducted in summer of 2017 in Wigry National Park in two types of forest habitats: coniferous (Serratulo-Pinetum) and deciduous (Tilio-Carpinetum). NDVI and MCARI2 vegetation indices were measured with the use of a drone and yielded comparable correlations with ant-related quantities. We determined that the presence of ants from Formica group is positively correlated with vegetation indices, while the correlation between Myrmica and Lasius ants and vegetation indices is more complex.
Źródło:
Steciana; 2018, 22, 3; 115-121
1689-653X
Pojawia się w:
Steciana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling the Hydrological Impacts of Vegetation Cover Changes in the Upper Oum Er-Rbia Watershed (Morocco)
Autorzy:
Msaddek, Mohamed
El Garouani, Abdelkader
Kimbowa, George
Powiązania:
https://bibliotekanauki.pl/articles/1838305.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
hydrological modeling
vegetation cover
remote sensing
HEC-HMS
watershed
Upper Oum Er-Rbia
Morocco
Opis:
In Morocco, the mountainous areas are often exposed to bulky and vicious flows of water and sediment. This process is exacerbated by the decrease in vegetation cover and the disruption in rainfall-runoff conditions that frequently cause significant flooding. By exploring the main hydrologic elements of these processes, it is possible to understand the behavior and hydrological response of watersheds and thus plan accordingly. In this study, the authors focused on determining the morphometric characteristics of the upper Oum Er-Rbia River basin (UOERRB by assessing/ evaluating the land use and land cover changes for a period of 32 years (1984-2016). Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) was applied to simulate four daily hydrological events. The concentration time was 7.7 hours. The four storm events examined to calibrate and validate the simulated outflow at the outlet indicated a good agreement between the hydrographs of the measured and simulated flows, with an average Nash-Sutcliffe efficiency (NSE) value ranging from 0.63 to 0.76. Between 2002 and 2016, an average 6.21 percent increase in vegetation cover of with annual rainfall increasing from 690 to 714.1 mm/year was observed. These results can contribute to a better understanding of the hydrologic processes and better estimation of the return flows and thus guiding management decisions and developments in the UOERRB.
Źródło:
Journal of Ecological Engineering; 2021, 22, 6; 167-180
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling the Hydrological Impacts of Vegetation Cover Changes in the Upper Oum Er-Rbia Watershed (Morocco)
Autorzy:
Msaddek, Mohamed
El Garouani, Abdelkader
Kimbowa, George
Powiązania:
https://bibliotekanauki.pl/articles/1838350.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
hydrological modeling
vegetation cover
remote sensing
HEC-HMS
watershed
Upper Oum Er-Rbia
Morocco
Opis:
In Morocco, the mountainous areas are often exposed to bulky and vicious flows of water and sediment. This process is exacerbated by the decrease in vegetation cover and the disruption in rainfall-runoff conditions that frequently cause significant flooding. By exploring the main hydrologic elements of these processes, it is possible to understand the behavior and hydrological response of watersheds and thus plan accordingly. In this study, the authors focused on determining the morphometric characteristics of the upper Oum Er-Rbia River basin (UOERRB by assessing/ evaluating the land use and land cover changes for a period of 32 years (1984-2016). Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) was applied to simulate four daily hydrological events. The concentration time was 7.7 hours. The four storm events examined to calibrate and validate the simulated outflow at the outlet indicated a good agreement between the hydrographs of the measured and simulated flows, with an average Nash-Sutcliffe efficiency (NSE) value ranging from 0.63 to 0.76. Between 2002 and 2016, an average 6.21 percent increase in vegetation cover of with annual rainfall increasing from 690 to 714.1 mm/year was observed. These results can contribute to a better understanding of the hydrologic processes and better estimation of the return flows and thus guiding management decisions and developments in the UOERRB.
Źródło:
Journal of Ecological Engineering; 2021, 22, 6; 167-180
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 26

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