Temat: sentinel - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Land Cover Changes and Impacts of Massive Siltation on the Mangrove Segara Anakan Lagoon System, Cilacap Indonesia
Autorzy:: Ardli, Erwin Riyanto
Yuwono, Edy
Purwanto, Anang Dwi
Powiązania:: https://bibliotekanauki.pl/articles/2173293.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: sedimentation
livelihoods change
coastal
Sentinel
land use
Opis:: Changing coastal zones in Indonesia, such as coral reefs, seagrass, and mangroves, have an impact on tropical ecosystems. Excessive exploitation and sedimentation, in particular, have threatened the mangrove at Segara Anakan Cilacap. In order to evaluate temporal land cover changes and the impact of high siltation on the Segara Anakan lagoon system in Cilacap, Indonesia, a research was conducted. The land cover data from SPOT 4 was available in 2008, and the Sentinel-2A data was available in 2019. The Normalized Difference Vegetation Index (NDVI) was used to enhance the Macro Class with supervised classification utilizing Maximum Likelihood techniques. Mangroves and water bodies declined between 2009 and 2019, whereas settlements and farmland areas increased, according to this study. In the western part of Segara Anakan, extensive siltation altered the biomass, structure, and composition of mangrove vegetation. At high sedimented habitats, Acanthus and Derris dominate, followed by Nypa. The changes in land cover and land use had an impact on socioeconomic factors. Decreases in water bodies and mangrove areas, as well as an increase in farmland, were significantly linked to a shift in society’s livelihoods from fishermen to farmers. The destruction of mangrove habitats in the Segara Anakan has been accelerated by anthropogenic activity and population pressure. Because this sensitive environment is constantly threatened by anthropogenic activity and climate change, effective management of the Segara Anakan Lagoon mangrove ecosystem is important for its long-term viability.
Źródło:: Journal of Ecological Engineering; 2022, 23, 7; 29--41
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Changes in the Distribution of Air Pollutants (Carbon Monoxide) during the Control of the COVID-19 Pandemic in Jakarta, Surabaya, and Yogyakarta, Indonesia
Autorzy:: Suhardono, Sapta
Septiariva, Iva Yenis
Rachmawati, Siti
Matin, Hashfi Hawali Abdul
Qona'ah, Niswatul
Nirwana, Bayu
Suryawan, I. Wayan Koko
Sari, Mega Mutiara
Prayogo, Wisnu
Powiązania:: https://bibliotekanauki.pl/articles/24201721.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: COVID-19 pandemic
carbon monoxide
Sentinel-5P
LSSR
Opis:: The condition of the Coronavirus Disease 2019 (COVID-19) pandemic in 2020 characterizing DKI Jakarta, Surabaya, and Yogyakarta Provinces which have a high population density in 2019, necessitates implementing Large-Scale Social Restrictions (LSSR) to control or break the chain of the spread of COVID-19. The LSSR policy that limits community activities, be it business activities, transportation, and the industrial sector, will impact social activities and the environment due to the reduced intensity of community activities. Therefore, this study aimed to determine changes in the carbon monoxide (CO) levels in Jakarta, Surabaya and Yogyakarta during the pre-pandemic and during the pandemic. The method used is the tropospheric CO concentration extracted from the Sentinel-5P satellite data. The CO data were retrieved and calculated using Google Earth Engine. The COVID-19 pandemic reduced CO level by 19.7%, 14.9%, and 21%, respectively. The paired t-test shows no significant difference from before the COVID-19 pandemic, with a significance of 0.05. The highest pre-pandemic average and total CO concentration levels were 0.042 and 1.0198 mol/m2 in Yogyakarta, respectively, whereas the lowest during the pandemic were 0.02845 and 0.6828 mol/m2 in Surabaya. Overall, the three cities have a weak relationship between CO level and precipitation as well as temperatures and CO level.
Źródło:: Journal of Ecological Engineering; 2023, 24, 4; 151--162
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: The Interaction of Chlorophyll-a and Total Suspended Matter along the Western Semarang Bay, Indonesia, Based on Measurement and Retrieval of Sentinel 3
Autorzy:: Maslukah, Lilik
Ismunarti, Dwi Haryo
Widada, Sugeng
Sandi, Nur Fikri
Prayitno, Hanif Budi
Powiązania:: https://bibliotekanauki.pl/articles/2202166.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: Sentinel 3
chlorophyll-a
total suspended matter
linear regression
Opis:: The Kendal Regency area is one of the areas on the northern coast of Central Java that has been experiencing rapid industrial development. The high human activity in this area will impact the quality of water in these surrounding areas and affect the fertility of the waters. The concentrations of chlorophyll-a (Chl-a) and total suspended matter (TSM) are major water quality parameters that can be retrieved using remotely sensed data. The retrieval satellite of the 3 OLCI chosen in this study has a 300 m spatial resolution. This study aimed to see the distribution and effect of total suspended matter (TSM) on chlorophyll-a based on measurement and retrieval of Sentinel 3 imagery using the linear regression method. The results show the chlorophyll-a distribution and the value from retrieval satellite are higher and occur over larger surface area compared to chlorophyll-a measurements. The linear regression model of chlorophyll-a by retrieval satellite imagery and measurement is y = 0.65x + 4.65 with R2 = 0.54. The presence of high amounts of suspended solids in the waters causes disturbances in the reflectance values, which are recorded by the retrieval of satellite. The model regression chlorophyll-a with TSM accuracy from retrieval satellite results in the equation y = -0.0416x + 5.14 (R2 = 0.45, p = 0.05, n = 13). The determination (R2) coefficient value is 0.445, which means that suspended solids have a 44.5% effect on chlorophyll-a and 55.5% is influenced by other factors and not examined in this study. The results show that TSM has an influence on the accuracy of chlorophyll-a and retrieval satellite recording can be disrupted if waters have high turbidity.
Źródło:: Journal of Ecological Engineering; 2022, 23, 10; 191--201
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environment using Spectral Data and Gis Tools
Autorzy:: Grzywna, H.
Dąbek, P. B.
Olszewska, B.
Powiązania:: https://bibliotekanauki.pl/articles/123280.pdf
Data publikacji:: 2018
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: drought
soil moisture
NDVI
Sentinel-2
satellite data
remote sensing
Opis:: The studies on agricultural droughts require long-term atmospheric, hydrological and meteorological data. On the other hand, today, the possibilities of using spectral data in environmental studies are indicated. The development of remote sensing techniques, increasing the spectral and spatial resolution of data allows using remote sensing data in the study of water content in the environment. The paper presents the results of the analysis of moisture content of soil-plant environment in the lowland areas of river valley using the spectral data from Sentinel-2. The analyses were conducted between February and November 2016. The spectral data were used to calculate the Normalize Differential Vegetation Index (NDVI) which provided the information about the moisture content of the soil-plant environment. The analyses were performed only on grasslands, on 22 objects located in the research area in the Oder river valley between Malczyce and Brzeg Dolny, Poland. The NDVI values were correlated with the hydrological and meteorological parameters. The analyses showed spatial and temporal variability of the moisture conditions in the soil-plant environment showed by the NDVI variability and existence some relationships between the climatic and spectral indices characterizing the moisture content in the environment.
Źródło:: Journal of Ecological Engineering; 2018, 19, 6; 56-64
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Agricultural Droughts Monitoring of Aceh Besar Regency Rice Production Center, Aceh, Indonesia – Application Vegetation Conditions Index using Sentinel-2 Image Data
Autorzy:: Sugianto
Rusdi, Muhammad
Budi, Muhammad
Farhan, Ahmad
Akhyar
Powiązania:: https://bibliotekanauki.pl/articles/2202332.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: drought monitoring
VCI
vegetation condition index
sentinel-2A
vegetation health index
Opis:: Monitoring the agricultural drought of paddy rice fields is a crucial aspect of preparing for proper action in maintaining food security in Indonesia. The Aceh Province is one of Indonesia’s national rice production centers, especially Aceh Besar Regency; it includes three central districts; Indrapuri, Kuta Cot Glie, and Seulimeum. Satellite-Sentinel 2A data have been tested to monitor the drought levels of around 2,803 Ha in the three districts in this study. This study aimed to determine the drought level in Indrapuri, Kuta Cot Glie, and Seulimeum districts, Aceh Besar Regency’s paddy rice fields using Sentinel-2A data imagery. The vegetation conditions index (VCI) of Sentinel-2 data was utilized to identify a vegetative drought level in the area for the 2018, 2019, 2020, 2021, and 2022 growing seasons. The vegetation inertia index is derived from the Normalized Difference Vegetation Index (NDVI). The results show that the VCI looked volatile, but the trendline increased by four percent, from 92.56 in July 2019 to 96.08 in July 2021. Most areas on the dates investigated found that the no drought category was still dominant. The designated data analyzed found that the June 2022 data tend to be distributed to the drought in extreme, severe, moderate, and mild increases compared to the previous data investigated. This figure shows an increasing drought in the study area, and the average drought index is in the category of mild drought. In addition, there has been a trendline decline in the value of NDVI in recent years, causing agricultural land for paddy rice fields to be slightly vulnerable to drought.
Źródło:: Journal of Ecological Engineering; 2023, 24, 1; 159--171
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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