Temat: satellite image - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Determination of the Degradation Degree of Pasture Lands in the West Kazakhstan Region Based on Monitoring Using Geoinformation Technologies
Autorzy:: Yesmagulova, Bayan Zhumabaevna
Assetova, Assem Yurievna
Tassanova, Zhadyra Baizhanovna
Zhildikbaeva, Aizhan Naskenovna
Molzhigitova, Dinara Kumarbekovna
Powiązania:: https://bibliotekanauki.pl/articles/2202345.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: monitoring
pasture
decoding
satellite image
degradation
profile
sand
vegetation
Opis:: Land degradation, including pasture lands is one of the global problems. Currently, one of the most urgent problems of the West Kazakhstan region is the preservation and restoration of the vegetation cover of pasture lands. To date, large areas of the region have been occupied by agricultural land. Several main reasons negatively affect agriculture, one of which is land degradation associated with anthropogenic impact in terms of the irrationality of land use. Thus, to preserve the biodiversity of the pastures of the West Kazakhstan region, it is necessary to fully study the projective cover of the vegetation, determine the dominant plant species, and also monitor the condition of pastures to prevent land degradation on time by conducting land and forest improvement activities. The study aimed to carry out a phyto-ecological assessment of degraded pastures of the Karatobinsky district of the West Kazakhstan region using geoinformation technologies and field study results. The paper presents the results of desktop decoding of high-resolution satellite images and ecological profiling of the studied territories. Decoding features of landscape types allowed making a preliminary map of landscape contours. The use of this technique makes it possible to monitor the condition of degraded pasture lands in a short time and justify the organization of pastures with a regulated grazing system in the study area.
Źródło:: Journal of Ecological Engineering; 2023, 24, 1; 179--187
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The Impact of Tsunami on Mangrove Spatial Change in Eastern Coastal of Biak Island, Indonesia
Autorzy:: Hamuna, Baigo
Kalor, John Dominggus
Tablaseray, Vivia Elvanny
Powiązania:: https://bibliotekanauki.pl/articles/124873.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: tsunami
mangrove spatial change
Landsat satellite image
Biak Island
Opis:: This study was conducted to find out how large was the impact of the tsunami incident of 1996 on the mangrove spatial change and also to understand the distribution and level of mangrove density before and after tsunami in Biak Island (Oridek District and East Biak District), Biak Numfor Regency, Indonesia. In order to determine the condition of mangrove before tsunami, landsat 5 TM satellite image acquisition of July 6, 1994 and landsat 7 ETM+ satellite image acquisition of August 31, 2000 were used. The information about the distribution and extent of mangroves was obtained by analyzing the spectral values based on color composite image (RGB 453) and NDVI analysis. Overlay map of the result satellite image interpretation was used to learn the change of mangrove spatial extent area due to tsunami. The result showed that the mangrove area before the tsunami was 286.83 Ha (high density 36.63 Ha, medium density 140.60 Ha and small density 109.60 Ha), meanwhile the mangrove extent area after the tsunami was 102.51 Ha (high density 24.39 Ha, medium density 22,86 Ha and small density 55.26 Ha). The mangrove conditions before tsunami were crucial to the impact of mangrove area degradation directly. The change of mangrove spatial extent into two districts after tsunami occurred in 1996 amounts to 184.32 Ha, which it approximately 202.50 Ha mangrove being lost and the addition of mangrove in the new area are 18.18 Ha. The tsunami that occurred in 1996 affected the coastal ecosystems, especially the mangrove ecosystems in Oridek District.
Źródło:: Journal of Ecological Engineering; 2019, 20, 3; 1-6
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Mapping of Cornfield Soil Salinity in Arid and Semi-Arid Regions
Autorzy:: Smanov, Zhassulan Maratuly
Laiskhanov, Shakhislam Uzakbaevich
Poshanov, Maksat Nurbaiuly
Abikbayev, Yerzhan Rakhimkeldievich
Duisekov, Saken Nurzhanuly
Tulegenov, Yerdaulet Askarbekovich
Powiązania:: https://bibliotekanauki.pl/articles/2202333.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: soil salinization
satellite image
vegetation indice
regression analysis
mapping of soil salinity
Opis:: Soil salinization and their annual increase in volume is not only one of the main problems of arid and subarid regions, but it is becoming global. Studying the problem of salinization and its spatial distribution using operational remote sensing methods is very important for Kazakhstan, where almost half of the agricultural land is exposed to salinization, but it is at the initial stage of development in the use of space technologies of research. The main goal of this study is to conduct a field study of soil salinity in corn fields, one of the most common crops in the arid region of the country, located in the Shaulder irrigated massif, using space-based methods, and to create algorithms for compiling a salinity map based on remote sensing data. For this purpose, firstly, using Sentinel-2 images, the method of separating corn from other dominant crops in the region by creating NDVI dynamics covering all phases of growth of agricultural crops was shown. Then, a regression analysis was performed on soil and vegetation indices calculated using satellite images and data on soil salinity obtained through field studies. As a result of the analysis, the main predictor of deciphering salinized soils was determined. By dividing the predictive image into quartiles, contours of salinized soils were determined and a soil salinity map was created. With the help of the soil salinity map, it was found that, non-saline soils – 2912.2 ha; slightly saline soils – 3288.4 ha, moderately saline soils – 2615.2 ha, and strongly saline soils – 1284.3 ha in the study area.
Źródło:: Journal of Ecological Engineering; 2023, 24, 1; 146--158
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Use of Spatial Remote Sensing to Study the Temporal Evolution of the Water Retention of Al Massira Dam in Morocco
Autorzy:: Bounif, Mohammed
Rahimi, Abdelmejid
Boutafoust, Rachid
El Mjiri, Ikram
Powiązania:: https://bibliotekanauki.pl/articles/2202368.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: spatial remote sensing
Al Massira dam reservoir
spectral indices
Landsat
satellite image
Doukkala
irrigated perimeter
Opis:: In Morocco, irrigated agriculture is still very much linked to the climate and the water retention of dams. With climate change, this country is experiencing recurrent drought, which has led to deficits in water inflow from the rivers to the various dams. The Al Massira dam, the area of study, does not escape this trend. This dam is the only surface water source for the irrigated area of Doukkala. Therefore, special attention must be paid to monitoring this resource at this dam. Thus, the proposed study examined the possibilities offered by spatial remote sensing to improve the current information system. It aims to evaluate this dam’s reservoir by exploiting the data generated by using satellite images. The Landsat satellite images were used to assess the area of this dam by adopting an approach combining spectral indices with thresholding. Then, the existing relationship between the area of the dam lake were examined, determined by spatial remote sensing and its water retention measured in situ. The results obtained revealed a strong correlation between the two parameters. Therefore, a study was conducted to find the best model for predicting the dam’s impoundment based on its lake. The second-degree polynomial model showed a better performance. Given the results obtained, it is recommended to use geospatial methods in the current and prospective monitoring and steering system of water resources.
Źródło:: Journal of Ecological Engineering; 2023, 24, 2; 340--349
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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