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    Tytuł:
    The remote sensing method of forest fire danger rating categorization
    Autorzy:
    Mycke-Dominko, Małgorzata
    Kwiatkowska, Joanna M.
    Powiązania:
    https://bibliotekanauki.pl/articles/2029439.pdf
    Data publikacji:
    2004-06-01
    Wydawca:
    Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
    Tematy:
    forest fire danger rating classification
    remote sensing as used in research
    Opis:
    The article presents the use of satellite images in the determination of forest fire danger rating categories. The assessment was carried out based on images from the LANDSAT TM, IKONOS and NOAA satellites, with the finding that the LANDSAT TM images are the most useful. A new solution proposed is to make forest fire danger rating categories refer to forest ranger sub-districts, what gives the forest service greater control over forest fire prevention activities. Forest fire danger assessment was done taking into account remote sensing indices such as the NDVI, TNDVI, and IHT, as well by the analysis of the spatial distribution and the number of fires in the previous six years. In accordance with the Polish State Forest Classification System, three classes were specified: 1 - high fire danger, 2 - moderate fire danger, 3 - low fire danger.
    Źródło:
    Miscellanea Geographica. Regional Studies on Development; 2004, 11; 359-362
    0867-6046
    2084-6118
    Pojawia się w:
    Miscellanea Geographica. Regional Studies on Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Accuracy of Sea Ice Data from Remote Sensing Methods, its Impact on Safe Speed Determination and Planning of Voyage in Ice-Covered Areas
    Autorzy:
    Pastusiak, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/116005.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Ice-Covered Area
    Sea Ice Data
    Remote Sensing Method
    Safe Speed Determination
    Route Planning
    Voyage Planning
    Ice Navigation
    Polar Navigation
    Opis:
    The data related to ice floe concentration and ice thickness were analysed. Sources of data have been verified by visual observation and by comparison in between information from different remote sensing sources. The results of this work exceeded initial expectations. The discrepancies of the information provided by various data sources result from the error of the measurement method, which can be as high as 15% of the concentration of ice floes. It should also be borne in mind that the more generalized information about the state of the ice cover, the lower probability of detection of ice floe patches of a high concentration and spatial extent. Each vessel that is planning voyage in ice should take into consideration inaccurate estimation of concentration and thickness of ice floes received by means of satellite remote sensing methods. The method of determining permissible speed of various ice class vessel in ice on basis of safe speed graph for the icebreaker was developed. A well-defined equation approximates relationship between speed of the icebreaker and the vessels of specified ice classes. Average distance of 24.1 Nm from sea ice extent line was related to all analysed lines representing 30-40% ice floe concentration (IUP product excluded) and 30.6 Nm for analysed lines representing 70-81-91% ice floe concentration. The maximal average distance of the furthest analysed line (IUP product excluded) was equal 37.2 Nm. The average standard deviation of that results was equal 8.3 Nm only. Average distances of analysed lines from sea ice extent line to maximal ice data values were found as follow: 8.4 Nm (23%) for NSIDC-CCAR ice age, 12.3 Nm (33%) for minimal distance of 30-40% ice concentration, 15.4 Nm (41%) for OSISAF ice type “ambiguous” zone from Open Water side, 25 Nm (67%) for minimal distance of 70-81-91% ice concentration, 26.6 Nm (72%) for OSISAF ice type “ambiguous” zone from 1st year ice age side, 35.9 Nm (97%) for maximal distance of 30-40% ice concentration and 36.3 Nm (98%) for maximal distance of 70-81-91% ice concentration data. In the parentheses placed relative distances from first ice data including IUP 40% concentration isolines. Sea ice extent of most of available data sources delineated the edge of “area to be avoided” for vessels of ice class lower than L1. Estimated average speed of L3 ice class vessel was from 3.3 knots till 5.2 knots at average speed 5.0 knots. For L1 ice class vessel estimated average speed was from 6.5 knots till 12.1 knots at average speed 9.7 knots. Relative standard deviation of averaged speed for both ice class vessels was equal 18%. The highest relative deviations were found up to 50% below the average speed value. The highest relative deviations upward were equal 22%. Above speeds for L3 and L1 ice class vessels corresponded well with average technical speed of “Norilsk SA-15” ULA class vessel equal 12,6 knots. The results of the work were not intended to be used for decision making on spot - “on-scene” - during direct guiding vessel in ice. They should be useful for initial voyage planning to allow decision-makers to identify the best freely available data sources for considered voyage and vessel of defined ice class; to understand advantages and limitations of available in the internet data sources; to estimate vessel’s maximal safe speed in encountered ice conditions, to estimate spatial distribution and correlations in between various levels of sea ice concentration and thickness. All above data allow estimate voyage time that is, in addition to fuel consumption, basic criterion of maritime transport economics.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 229-248
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Coastline change-detection method using remote sensing satellite observation data
    Autorzy:
    Markiewicz, Ł.
    Mazurek, P.
    Chybicki, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/331592.pdf
    Data publikacji:
    2016
    Wydawca:
    Polskie Towarzystwo Akustyczne
    Tematy:
    coastal monitoring
    SAR
    Sentinel
    Landsat
    background subtraction
    image processing
    Opis:
    Coastal zones are not only the fundaments for local economics based on trade, shipping and transport services, but also a source of food, energy, and resources. Apart from offering diverse opportunities for recreation and tourism, coastal zones provide protection against storms and other meteorological disturbances. Environmental information is also essential because of the direct influence on a country’s maritime zones, which are territorial sea and exclusive economic zones. Keeping local communities and ecosystems healthy requires monitoring and assessing of all the vital changes of territorial sea and its baseline. The paper presents a method and a concept of a system that provides an efficient means of automatic analysis of spatial data provided by satellite observation systems (optical Landsat 8 and SAR Sentinel 1) in order to monitor, and detect, changes in the coastline. The proposed methodology is based on a set of algorithms that enable one to trace and detect changes in coastline shape, and eventual damage to marine infrastructure, such as breakwaters and harbours, relying on high resolution satellite observational products.
    Źródło:
    Hydroacoustics; 2016, 19; 277-284
    1642-1817
    Pojawia się w:
    Hydroacoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An improved Otsu method for oil spill detection from SAR images
    Autorzy:
    Yu, F.
    Sun, W.
    Li, J.
    Zhao, Y.
    Zhang, Y.
    Chen, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/47553.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    remote sensing
    oil spill
    detection
    Otsu's method
    accident
    marine transport
    synthetic aperture radar
    Opis:
    In recent years, oil spill accidents have become increasingly frequent due to the development of marine transportation and massive oil exploitation. At present, satellite remote sensing is the principal method used to monitor oil spills. Extracting the locations and extent of oil spill spots accurately in remote sensing images reaps significant benefits in terms of risk assessment and clean-up work. Nowadays the method of edge detection combined with threshold segmenta- tion (EDCTS) to extract oil information is becoming increasingly popular. However, the current method has some limitations in terms of accurately extracting oil spills in synthetic aperture radar (SAR) images, where heterogeneous background noise exists. In this study, we propose an adaptive mechanism based on Otsu method, which applies region growing combined with both edge detection and threshold segmentation (RGEDOM) to extract oil spills. Remote sensing images from the Bohai Sea on June 11, 2011 and the Gulf of Dalian on July 17, 2010 are utilized to validate the accuracy of our algorithm and the reliability of extraction results. In addition, results according to EDCTS are used as a comparator to further explore validity. The comparison with results according to EDCTS using the same dataset demonstrates that the proposed self-adapting algorithm is more robust and boasts high-accuracy. The accuracy computing by the adaptive algorithm is significantly improved compared with EDCTS and threshold method.
    Źródło:
    Oceanologia; 2017, 59, 3
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Satellite Image Fusion Using a Hybrid Traditional and Deep Learning Method
    Autorzy:
    Hammad, Mahmoud M.
    Mahmoud, Tarek A.
    Amein, Ahmed Saleh
    Ghoniemy, Tarek S.
    Powiązania:
    https://bibliotekanauki.pl/articles/27314300.pdf
    Data publikacji:
    2023
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    deep learning image fusion
    remote sensing image fusion
    remote sensing optical image
    pan-sharpening
    remote sensing image
    Opis:
    Due to growing demand for ground-truth in deep learning-based remote sensing satellite image fusion, numerous approaches have been presented. Of these approaches, Wald’s protocol is the most commonly used. In this paper, a new workflow is proposed consisting of two main parts. The first part targets obtaining the ground-truth images using the results of a pre-designed and well-tested hybrid traditional fusion method. This method combines the Gram–Schmidt and curvelet transform techniques to generate accurate and reliable fusion results. The second part focuses on the training of a proposed deep learning model using rich and informative data provided by the first stage to improve the fusion performance. The demonstrated deep learning model relies on a series of residual dense blocks to enhance network depth and facilitate the effective feature learning process. These blocks are designed to capture both low-level and high-level information, enabling the model to extract intricate details and meaningful features from the input data. The performance evaluation of the proposed model is carried out using seven metrics such as peak-signal-to-noise-ratio and quality without reference. The experimental results demonstrate that the proposed approach outperforms state-of-the-art methods in terms of image quality. It also exhibits the robustness and powerful nature of the proposed approach which has the potential to be applied to many remote sensing applications in agriculture, environmental monitoring, and change detection.
    Źródło:
    Geomatics and Environmental Engineering; 2023, 17, 5; 145--162
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Transformation of agricultural lands
    Autorzy:
    Perovych, I.
    Kereush, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/100595.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
    Tematy:
    transformation of land
    simplex method
    GIS technologies
    remote sensing
    GIS
    technologia GIS
    teledetekcja
    przekształcanie gruntów
    Opis:
    One of the methods of land transformation is linear programming method, which is called the simplex method. Its application allows us quickly and efficiently to build a model of optimal use of land resources and helps to find such combination of the lands, that allows us to obtain the maximum yield in money equivalent with given resources. The application of methods of remote sensing (RS) as spatial information to solve the problems of land management, including land transformation, becomes the most optimal in modern conditions.
    Źródło:
    Geomatics, Landmanagement and Landscape; 2015, 1; 45-54
    2300-1496
    Pojawia się w:
    Geomatics, Landmanagement and Landscape
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The method of using remote sensing high-resolution imagery data in cartographical study of seaports
    Metoda wykorzystania wysokorozdzielczych teledetekcyjnych danych obrazowych w kartograficznym opracowaniu portów morskich
    Autorzy:
    Klewski, A.
    Sanecki, J.
    Maj, K.
    Stępień, G.
    Gmaj, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/360432.pdf
    Data publikacji:
    2010
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    teledetekcja
    zobrazowanie satelitarne
    dane wysokorozdzielcze
    opracowanie kartograficzne
    remote sensing
    satellite imagery
    high-resolution data
    cartographical study
    Opis:
    The article presents the author’s method of scale determining of cartographical chart. The worked out method permits on scale defining on the base on resolution of source imagery, precision of location and internal geometry of situational details as well as the defining of interpretation aim. In present study authors introduce a new attitude to cartographical study of seaports. It relies on very high resolution imageries using to create a orthophotomap and regards it as a final product instead of product attending to updating other maps.
    W artykule przedstawiono autorską metodę wyznaczania skali opracowania kartograficznego. Opracowana metoda pozwala na określenie skali w oparciu o rozdzielczość materiału źródłowego, dokładność lokalizacji i geometrii wewnętrznej szczegółów sytuacyjnych oraz zdefiniowanie celu interpretacyjnego opracowania. W niniejszym opracowaniu autorzy przedstawiają nowe podejście w kartograficznym opracowaniu portów morskich. Polega ono na wykorzystaniu wysokorozdzielczych obrazów satelitarnych do tworzenia ortofotomapy satelitarnej i potraktowanie jej jako produktu końcowego zamiast materiału służącego do aktualizacji innych map.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2010, 22 (94); 33-38
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of conventional and satellite data for estimation of evapotranspiration spatial and temporal pattern
    Autorzy:
    Struzik, P.
    Kępińska-Kasprzak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/108470.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    reference evapotranspiration
    actual evapotranspiration
    remote sensing
    Penman-Monteith method
    Wielkopolska Region
    Opis:
    Evapotranspiration values (ET) are crucial for agriculture where estimates of water reserves available for crops are the basis for scheduling the time and intensity of irrigation, yield prognoses, etc. Detailed evapotranspiration data are, therefore, of essential value. However, stations performing direct measurements of evapotranspiration are very scarcely distributed in Poland, and for this reason the interpolation of data is necessarily biased. Hence, evapotranspiration values are calculated using indirect methods (usually empirical formulas). Data from geostationary meteorological satellites are used operationally for the determination of evapotranspiration with good spatial and temporal resolution (e.g. Land-SA F product). The study of the relation between evapotranspiration values determined with the use of satellite data and those calculated using the Penman-Monteith formula was performed for the study area in Poland. Daily values and cumulated (i.e. decadal, monthly and yearly) values were analysed to determine the quality and possible added value of the satellite product. The relation between the reference ET and actual ET in two consecutive years was discussed, both for the whole test area and for individual stations, taking into account land use and possible water deficit in the root zone, represented by H-SA F (EUMETSA T Satellite Application facility supporting Operational Hydrology and Water Management) soil wetness index product. The differences are presented and discussed.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 2; 3-13
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Development of a satellite method for Baltic ecosystem monitoring (DESAMBEM) - an ongoing project in Poland
    Autorzy:
    Wozniak, B.
    Krezel, A.
    Dera, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/47434.pdf
    Data publikacji:
    2004
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    primary production
    pigment
    remote sensing
    Polska
    radiation
    Baltic ecosystem
    monitoring
    ecosystem
    Opis:
    A large national project: Development of a satellite method for Baltic ecosystem monitoring (DESAMBEM) for creating mathematical models and a complex algorithm for the remote sensing of the Baltic ecosystem and its primary production is described. The final aim of the project is the development of a routine remote sensing methodology for determining characteristics of the Baltic ecosystem such as distribution maps of surface temperature, water transparency, upwelling currents, phytoplankton blooms, radiation balance, pigment concentrations and primary production. The progress of the study and examples of results are presented.
    Źródło:
    Oceanologia; 2004, 46, 3
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessment of soil erosion using the GIS-based erosion potential method in the Kebir Rhumel Watershed, Northeast Algeria
    Autorzy:
    Zeghmar, Amer
    Marouf, Nadir
    Mokhtari, Elhadj
    Powiązania:
    https://bibliotekanauki.pl/articles/2073737.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    Erosion Potential Method
    EPM
    Geographic Information System
    GIS
    Kebir-Rhumel
    remote sensing
    soil erosion
    water erosion
    Opis:
    Soil erosion is an important factor that should be considered when planning renewable natural resource projects, effects of which can be measured by modelling techniques. Therefore, disintegration models determine soil loss intensity and support soil conservation practices. This study estimates soil loss rates by water erosion using the Erosion Potential Method (EPM) in the Kebir Rhumel Watershed located in Northeast Algeria. The area is north to south sub-humid to semi-arid, receives irregular rainfall, and has steep slopes and low vegetation cover which makes it very vulnerable to erosion. The main factors in the EPM (soil erodibility, soil protection, slope, temperature, and rainfall) were evaluated using the Geographical Information System (GIS) and data provided by remote sensing technologies. The erosion intensity coefficient Z was 0.60, which indicates medium erosion intensity. While the results showed the average annual soil erosion of 17.92 Mg∙ha-1∙y -1, maximum and minimum losses are 190.50 Mg∙ha-1∙y-1 and 0.21 Mg∙ha-1∙y-1, respectively. The EPM model shows satisfactory results compared to some studies done in the basin, where the obtained results can be used for more appropriate management of land and water resources, sustainable planning, and environmental protection.
    Źródło:
    Journal of Water and Land Development; 2022, 52; 133--144
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The definition of the area of felling forests by high resolution satellite images
    Autorzy:
    Burshtynska, K.
    Polishchuk, B.
    Madyar, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/100258.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
    Tematy:
    remote sensing of the Earth
    space image
    forest monitoring
    classification
    method of maximum probability
    Mahalanobis's method
    method of minimum distance
    deforestation
    teledetekcja Ziemi
    klasyfikacja
    monitoring lasu
    metoda maksymalnego prawdopodobieństwa
    Metoda Mahalanobisa
    wylesienie
    Opis:
    The paper presents a hybrid classification method based on the determination of the optimal number of classes according to uncontrolled classification followed by image processing techniques of controlled classification. A criterion for determining the optimal number of classes is proposed based on the definition of averaged values differences of average spectral brightness among the classes. Space images from satellites Ikonos (2002, 2007) and QuickBird (2010) were used to study different time cuttings in the forests of the Carpathian region. A significant amount of ground observation was held for getting test information. A Hybrid Classification Method is used for different time cuttings by QuickBird satellite images and implemented in a software environment of ERDAS Imagine. In order to obtain acreage of cuttings made for the period of 2002-2007 and 2007-2010, a comparative analysis of cuttings is introduced in these time intervals and their area is determined on the basis of the digital images of polygons in the ArcGIS software environment.
    Źródło:
    Geomatics, Landmanagement and Landscape; 2014, 3; 43-54
    2300-1496
    Pojawia się w:
    Geomatics, Landmanagement and Landscape
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Performance of Unsupervised Change Detection Method Based on PSO and K-means Clustering for SAR Images
    Autorzy:
    Shehab, Jinan N.
    Abdulkadhim, Hussein A.
    Powiązania:
    https://bibliotekanauki.pl/articles/1844494.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    change detection
    k-means clustering
    multitemporal satellite image
    PSO
    Gabor wavelet filter
    remote sensing
    Opis:
    This paper presents unsupervised change detection method to produce more accurate change map from imbalanced SAR images for the same land cover. This method is based on PSO algorithm for image segmentation to layers which classify by Gabor Wavelet filter and then K-means clustering to generate new change map. Tests are confirming the effectiveness and efficiency by comparison obtained results with the results of the other methods. Integration of PSO with Gabor filter and k-means will providing more and more accuracy to detect a least changing in objects and terrain of SAR image, as well as reduce the processing time.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 3; 403-408
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Soil erosion susceptibility mapping of Imo River Basin using modified geomorphometric prioritisation method
    Autorzy:
    Nwilo, Peter C.
    Ogbeta, Caleb O.
    Daramola, Olagoke E.
    Okolie, Chukwuma J.
    OrJi, Michael J.
    Powiązania:
    https://bibliotekanauki.pl/articles/2054950.pdf
    Data publikacji:
    2021-09-01
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    morphometry
    weighted sum analysis
    soil erosion susceptibility
    SRTM
    remote sensing
    GIS
    Imo River Basin
    Opis:
    Gullies and other forms of erosion have been the greatest environmental problem and catastrophe in most high- and low-income countries. The challenge posed by soil erosion has compromised agricultural productivity, en-vironmental biodiversity and food safety for the world’s population. It is important to identify vulnerable areas to soil erosion in each region to initiate remedial measures. This study demonstrates the use of watershed morphometry coupled with weighted sum analysis (WSA) to estimate the soil erosion susceptibility of the Imo River Basin sub-wa-tersheds (SWs) in South-Eastern Nigeria using satellite remote-sensing data and geographic information system (GIS) analysis. To this end, Shuttle Radar Topography Mission (SRTM), a Digital Elevation Model (DEM) with 30 m spatial resolution was used to extract and analyse 18 morphometric parameters including basic, linear, shape and relief. The method of receiver operating characteristics (ROC) curves was used to validate the model’s prediction accuracy. This morphometry-based analysis resulted in the SWs being classified into zones of low, medium, high and very high erosion susceptibility. With regard to erosion susceptibility, 41.51% of the basin (2494.68 km2) is in the very high pri-ority zone; while 10.50%, 44.33% and 3.66% of the basin are in the high, medium and low priority zones respectively. Validation of the final erosion susceptibility map showed a prediction accuracy of 81%. The use of satellite imagery and morphometric analysis in this study was cost- and time-effective for identifying areas susceptible to soil erosion.
    Źródło:
    Quaestiones Geographicae; 2021, 40, 3; 143-162
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco)
    Autorzy:
    Taher, Morad
    Mourabit, Touafik
    Etebaai, Issam
    Dekkaki, Hinde Cherkaoui
    Amarjouf, Najat
    Amine, Afaf
    Abdelhak, Bourjila
    Errahmouni, Ali
    Azzouzi, Sadik
    Powiązania:
    https://bibliotekanauki.pl/articles/2203959.pdf
    Data publikacji:
    2023
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    GIS
    remote sensing
    Rif belt
    sustainable development
    water scarcity
    Opis:
    The present study aims to delineate the groundwater potential zones (GWPZ) in the Boudinar Basin using geospatial techniques and through an analytical hierarchal process (AHP) method. For multi criteria decision analysis, fifteen thematic layers were integrated into a geographic information system (GIS) environment. In this analysis, each thematic layer is calculated for normalized weights. Furthermore, the consistency index and consistency ratio were calculated to ensure that the result was significant and reliable. The GWPZ map has been categorized into three classes: poor (50.82%), moderate (49.06%), and good (<1.00%). To compare the result, we used four other scenarios of the GWPZ. Two of them are the most similar to our result. Finally, predictive groundwater production and management strategies that ensure long-term sustainability are highly needed.
    Źródło:
    Geomatics and Environmental Engineering; 2023, 17, 3; 83--105
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Seasonal pattern of the chlorophyll-a in a coastal lagoon from the Southern Baja California (Mexico), described with in situ observations and MODIS-Aqua imagery
    Autorzy:
    Jimenez-Quiroz, M.C.
    Martell-Dubois, R.
    Cervantes-Duarte, R.
    Cerdeira-Estrada, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2078912.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    chlorophyll a
    coastal lagoon
    remote sensing
    transitional zone
    climatology
    seasonal pattern
    phytoplankton biomass
    distribution
    multivariate statistical method
    MODIS-Aqua data
    Opis:
    This study aims to estimate, with a climatology perspective, the average seasonal pattern of phytoplankton biomass (SP-PBavg) and its distribution in Bahia Magdalena (Mexico) as a baseline to evaluate PB changes in future studies. This lagoon is in a semi-arid region, lacks river discharges, and channels with vegetation are limited at the north and south zones. SP-PBavg was estimated with chlorophyll-a (chl-a) data obtained in 21 sites on daily MODISAqua imagery (2002—2013; n = 2,418) from a ready-to-use public database. The first step was to establish criteria to use imagery and validate with in situ observations taken in 14 sites (2002—2011; n = 312). MODIS-Aqua overestimated chl-a (mean ± confidence interval95: 5.09 ± 0.97 mg m−3; n = 225); with differences among sites. There were no differences near the inlet lagoon (p <0.05), where the water characteristics are Case-1 while values were significantly higher in the eastern shore and two or three times higher in the mouth of north and south channels, whose water characteristics are similar to Case-2. Multivariate statistical methods allow defining zones into the lagoon and describe their SP-PBavg with both in situ and MODIS Aqua data, but the former’s sample size was small, and the patterns were only delineated. In the inlet surroundings, chl-a peaks from March/April to June/July. On the eastern shore, where MODIS Aqua and in situ data were correlated, despite concentration differences, chla is higher from March/April to October, with peaks in June and September. In the mouth of internal channels, chl-a was higher than other sites and during a longer period; however, the very high MODIS-Aqua values suggest that the satellite also detects organic matter supplied by phytoplankton and other vegetables, which explain the high lagoon’s productivity. These results validate the use of MODIS Aqua imagery to describe the chl-a seasonal patterns in the sea’s vicinity
    Źródło:
    Oceanologia; 2021, 63, 3; 329-342
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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