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Wyszukujesz frazę "normalized difference vegetation index" wg kryterium: Temat


Tytuł:
Detection and classification of vegetation areas from red and near infrared bands of LANDSAT-8 optical satellite image
Autorzy:
Nallapareddy, Anusha
Tematy:
classification
remote sensing
soil adjusted vegetation index
normalized difference vegetation index
vegetation
Pokaż więcej
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Powiązania:
https://bibliotekanauki.pl/articles/2097428.pdf  Link otwiera się w nowym oknie
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.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Land cover change assessment of vaal harts irrigation scheme using multi-temporal satellite sata
Autorzy:
Otieno, F. A.
Ojo, O. I.
Ochieng, G. M.
Tematy:
land use change
vaal harts
GIS
normalized difference vegetation index
NDVI
VHS
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/205331.pdf  Link otwiera się w nowym oknie
Opis:
Land cover change (LCC) is important to assess the land use/land cover changes with respect to the development activities like irrigation. The region selected for the study is Vaal Harts Irrigation Scheme (VHS) occupying an area of approximately 36, 325 hectares of irrigated land. The study was carried out using Land sat data of 1991, 2001, 2005 covering the area to assess the changes in land use/land cover for which supervised classification technique has been applied. The Normalized Difference Vegetation Index (NDVI) index was also done to assess vegetative change conditions during the period of investigation. By using the remote sensing images and with the support of GIS the spatial pattern of land use change of Vaal Harts Irrigation Scheme for 15 years was extracted and interpreted for the changes of scheme. Results showed that the spatial difference of land use change was obvious. The analysis reveals that 37.86% of additional land area has been brought under fallow land and thus less irrigation area (18.21%). There is an urgent need for management program to control the loss of irrigation land and therefore reclaim the damaged land in order to make the scheme more viable.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Regional Mapping of Land Surface Temperature (LST), Land Surface Emissivity (LSE) and Normalized Difference Vegetation Index (NDVI) of South-South Coastal Settlements of Rivers State in Nigeria
Autorzy:
Nwaerema, Peace
Ajiere, Suzan
Tematy:
Regional
land surface emissivity
land surface temperature
normalized difference vegetation index
population
urbanization
Pokaż więcej
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Powiązania:
https://bibliotekanauki.pl/articles/1031686.pdf  Link otwiera się w nowym oknie
Opis:
This study is the regional mapping of Land Surface temperature (LST), Land Surface Emissivity (LSE) and Normalized Difference Vegetation Index (NDVI) of south-south coastal settlements of Rivers State in Nigeria. The Google Earth Engine (GEE) of satellite remote sensing origin was used in the study. It was observed that land surface area of the south-south coastal settlements of the region hosting a total population of 3,344,706 persons had undergone severe modification and alteration of vegetal cover by increased human activities especially in the central area. Emissivity in the region increased from the center to the rural settlements with values ranging 0.98 to 0.99 and difference of 0.01 indicating that there was increased modification of the regional land surface. Land surface temperature decreased from the regional center to the rural settlements ranging between 22.12 ºC to 35.99 ºC with a difference of 13.87 ºC. However, LST was scattered in different settlement spots especially in the northern region such as Aleto, Finema (south); Rumuolu, Odogwa, Abara, Umuechem, Rumuola, Ambroda (north) among others. The normalized vegetation index showed -0.54358 to 0.409327 having the difference of 0.952907 indicating greater variation in vegetal cover across the region. Thus, NDVI in the region increased from the regional center to the outskirts of the area. Urbanization in the south-south region of Rivers State had extended severely to the rural settlements. Therefore, it is recommended that policy makers and regional planners should protect the area from adverse vegetal lost and heat effects by implementing regional greening practices.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Natural and Climatic Transformation of the Kakhovka Reservoir after the Destruction of the Dam
Autorzy:
Pichura, Vitalii
Potravka, Larysa
Dudiak, Nataliia
Bahinskyi, Oleksandr
Tematy:
Kakhovka Reservoir
normalized difference vegetation index
chlorophyll-a
land surface temperature
evapotranspiration
vegetation health index
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Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:
https://bibliotekanauki.pl/articles/59114382.pdf  Link otwiera się w nowym oknie
Opis:
As a result of the Russian armed aggression, Ukraine has lost almost a third of its accumulated fresh water reserves worth more than USD18 billion. It has caused a loss of access to quality drinking water for 6 million people in Ukraine and more that 13 million people have a limited access to water for satisfying sanitary and hygienic needs. The situation is complicated due to the destruction of the Kakhovka hydroelectric power station dam which has led to a large-scale man-made disaster, severe negative environmental and socioeconomic consequences, the beginning of natural-climatic transformations of the drained water reservoir. The article presents comprehensive research of the state of the Kakhovka Reservoir functioning before and after the destruction of the hydroelectric power station dam on the basis of the facts and the results of decoded satellite imagery of Sentinel 2, Sentinel-3 and Landsat 8–9. It was found that the water reservoir drainage has caused disruption of microclimatic conditions, an increase in the air temperature by 2.0 °С and more, accelerated evapotranspiration by 1.41–2.04 times, exacerbation of water scarcity in 58.2% of the territory of the drained water area and in the adjacent territories. About 52.0% of the territory of the drained water reservoir has stressful conditions of natural-climatic functioning. The obtained results confirm that the formed aboveground plant biomass of bottom landscapes is not capable of creating appropriate microclimatic conditions which existed in the water area of the Kakhovka Reservoir.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Microclimate changes and trend analysis of remotely sensed environmental parameters in West Asia Semi-arid region
Autorzy:
Shahbandeh Vayghan, Mahsa
Elhag, Mohamed
Opis:
Several developing countries in Asia are relying on agricultural practices in which climate change is a challenging concern. The trends change in atmospheric parameters and vegetation indices are questioned and vague. Consequently, the trend variations of the environmental characteristics were introduced in the first decade of 21 century to better understand the trend changes and envisage the relationship between the atmospheric parameters and the vegetation cover. The Moderate Resolution Imaging Spectroradiometer and the Atmospheric Infrared Sounder provide several atmospheric parameters, e.g., Air Temperature, Aerosol Optical Depth (AOD), and Carbon Dioxide ($CO_{2}$). In addition, NDVI was estimated and aimed at the role of the interactions among the atmospheric parameters based on statistical analysis. The results showed that AOD and NDVI were air temperature dependent; meanwhile, AOD, NDVI, and air temperature were exchanging and influencing one another. Furthermore, the average minimum air temperature of the region increased during this period and carbon dioxide was a time-dependant parameter that was rising at a steep slope, which may lead to environmental crises. The trend analysis outlines what policies, programs, and procedures should be used to balance the ecosystem and mitigate the climatic negative effects. The Current research strengthens on the social awareness and the international cooperation to reduce socio-economic and political harm and loss in the face of climate change.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
The localization of urban heat island in the Katowice conurbation (Poland) using the combination of land surface temperature, Normalized Difference Vegetation Index and Normalized Difference Built-up Index
Geographia Polonica Vol. 94 No. 1 (2021)
Autorzy:
Nádudvari, Ádám. Autor
Wydawca:
IGiPZ PAN
Powiązania:
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Opis:
24 cm
The localization of Surface Urban Heat Island (SUHI) as a potential heat risk for the urban population was evaluated. The paper aimed to propose an approach to quantify and localize (SUHI) based on Landsat series TM, ETM+, OLI satellite imageries from the period 1996-2018 and recognize the Atmospheric Urban Heat Island (AUHI) effects from long term temperature measurements. Using the theoretical relation between the Normalized Difference Built-up Index (NDBI), the Normalized Difference Vegetation Index (NDVI) and the LST (Land Surface Temperature), SUHIintensity and SUHIrisk maps were created from the combination of LST, NDVI, NDBI using threshold values to localize urban heat island in the Katowice conurbation. Negative values of SUHI intensity characterize areas where there is no vegetation, highly built-up areas, and areas with high surface temperatures. The urban grow – revealed from SUHI – and global climate change are acting together to strengthen the global AUHI effect in the region as the temperature measurements were indicated.
Dostawca treści:
RCIN - Repozytorium Cyfrowe Instytutów Naukowych
Książka
Tytuł:
Exogenous regulation of the potatoes’ adaptive potential when using bio stimulants
Autorzy:
Shitikova, Aleksandra V.
Abiala, Adewale A.
Tevchenkov, Alexander A.
Bazhenova, Svetlana S.
Lazarev, Nikolay N.
Kurenkova, Evgeniya M.
Tematy:
abiotic stress
antioxidant
biopolymer chitosan
growth regulators
potato
N-tester
near infrared
normalized difference vegetation index
NDVI
Pokaż więcej
Wydawca:
Instytut Technologiczno-Przyrodniczy
Powiązania:
https://bibliotekanauki.pl/articles/2174370.pdf  Link otwiera się w nowym oknie
Opis:
Potato from the Solanaceae family is one of the most important crops in the world and its cultivation is common in many places. The average yield of this crop is 20 Mg·ha-1 and it is compatible with climatic conditions in many parts of the world. The experiment studied the possibility of exogenous regulation of the adaptive potential available for four potato cultivars through the use of growth stimulants with different action mechanisms: 24-epibrassinolide (EBL) and chitosan biopolymer (CHT). The results allowed us to establish significant differences in growth parameters, plant height, leaf index, vegetation index, chlorophyll content, and yield structure. Monitoring growth and predicting yields well before harvest are essential to effectively managing potato productivity. Studies have confirmed the empirical relationship between the normalised difference vegetation index (NDVI) and N-tester vegetation index data at various stages of potato growth with yield data. Statistical linear regression models were used to develop an empirical relationship between the NDVI and N-tester data and yield at different stages of crop growth. The equations have a maximum determination coefficient (R2) of 0.63 for the N-tester and 0.74 for the NDVI during the flowering phase (BBCH1 65). NDVI and N-tester vegetation index positively correlated with yield data at all growth stages.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Improvement of the Agricultural Yields Forecasting Model Using the Software Product “Land Viewer”
Ulepszenie modelu prognozy plonów upraw w oprogramowaniu „Land Viewer”
Autorzy:
Kolodiy, Pavlо
Pіdlypna, Maryna
Tematy:
zdjęcia satelitarne
interfejs programu „Land Viewer”
znormalizowany wskaźnik różnicy wegetacji
pictures from satellites
programmatic interface “Land Viewer”
Normalized Difference Vegetation Index
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Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Powiązania:
https://bibliotekanauki.pl/articles/385334.pdf  Link otwiera się w nowym oknie
Opis:
Using the data of the remote sensing the Earth, new opportunities in assessing the state of agricultural crops and yield forecasting have been considered. In addition to the above-ground information, as shown by numerous studies conducted earlier, most parameters of the germination and development of agricultural crops can be restored and used from satellite images. Thanks to the software product “Land Viewer”, which enables pictures to be taken from Landsat 4, 5, 7, 8, Sentinel 2 and Terra satellites, and it will provide improving the model and assessment of the biomass potential of agricultural crops. The data obtained from remote sensing during the cropping season, show the information on the condition of agricultural crops sown according to the vegetation stages (photosynthesis process) in crops. At various levels of development, in terms of the Normalized Difference Vegetation Index (NDVI), the seasonal pattern of crops photosynthesis is well reflected, which is associated with the above-ground biomass. The results have been presented in the current model of crop yield forecasting. The improved forecasting model enables significant increases in the economic efficiency of the research, and ensure the accuracy of the data on the physiological processes of agricultural crops, yields, and efficiency of obtaining the data on the research object.
Jak pokazują liczne badania, większość parametrów kiełkowania oraz stan rozwoju upraw rolnych można określić na podstawie zdjęć satelitarnych. W artykule wskazano nowe możliwości oceny stanu upraw rolnych i prognozowania plonów z użyciem danych teledetekcyjnych. Zastosowano do tego celu oprogramowanie „Land Viewer”, które umożliwia wykorzystanie zdjęć z satelitów Landsat 4, 5, 7, 8, Sentinel 2 i Terra oraz poprawę modelu i ocenę potencjału biomasy upraw rolnych. Dane uzyskane za pomocą teledetekcji podczas sezonu upraw dostarczają informacji o stanie roślin na różnych etapach wegetacji (proces fotosyntezy). Na różnych poziomach rozwoju, ocenianego na podstawie znormalizowanego wskaźnika różnicy wegetacji (NDVI), dobrze odzwierciedla się sezonowość fotosyntezy upraw, co jest związane z biomasą nadziemną. Wyniki zostały przedstawione w obecnie stosowanym modelu prognozowania plonów. Ulepszony model prognozowania pozwala na znaczne zwiększenie efektywności ekonomicznej badań, a także zapewnia większą dokładność danych o procesach fizjologicznych upraw rolnych, plonach oraz wydajności produkcji w obiekcie badawczym.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Use of remote sensing as an indicator of the urban heat island effect: the case of the municipality of Guelma (north-east of Algeria)
Autorzy:
Khallef, Boubaker
Tematy:
Landsat 8
LST
land surface temperature
NDVI
normalized difference vegetation index
NDBI
Guelma
Algeria
temperatura powierzchni ziemi
znormalizowany różnicowy wskaźnik wegetacji
Kalima
Algieria
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Wydawca:
Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Powiązania:
https://bibliotekanauki.pl/articles/24201205.pdf  Link otwiera się w nowym oknie
Opis:
The main objective of this study is to show which of the LST-NDVI and LST-NDBI relationships can determine the most accurate index that can be used as an indicator of the effects of urban heat islands in the municipality of Guelma, using Landsat data. 8 OLI/TIRS and the geographic information system. The application of the calculation formulas made it possible to extract the Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built up Index (NDBI) of the municipality of Guelma for the four seasons of 2019. This calculation led to the determination of the relationship between all three indicators. The results obtained show a strong correlation between the LST and the NDBI for the four seasons of the year. They suggest that the NDBI is an accurate indicator of the heat island effect in Guelma. This indicator can serve as a tool for future urban planning by those in charge of this department. However, there is currently and urgent need to strengthen strategies for reducing the effects of urban heat islands in order to preserve the quality of urban life of the inhabitants and by setting up emergency programs.
Dostawca treści:
Biblioteka Nauki
Artykuł

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