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Tytuł:
Application of UAV and ground measurements for urban vegetation cooling benefits assessment, Wilanów Palace case study
Autorzy:
Trzeciak, Michał
Sikorska, Daria
Powiązania:
https://bibliotekanauki.pl/articles/36073616.pdf
Data publikacji:
2024
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
ecosystem services
NDVI
urban vegetation
Urban Heat Island
climate change
UAV
cultural heritage sites
Opis:
This research at the Wilanów Palace, Warsaw, assesses urban greenery’s cooling impacts in a cultural heritage site using remote sensing and on-site measurements, highlighting vegetation’s importance in urban climate control. The study combines soil temperature data, UAV thermal imagery, leaf area index (LAI), LiDAR, and NDVI analyses. Findings demonstrate a strong link between vegetation density and temperature: UAV land surface temperature (LST) ranged from 26.8° to 47.5°C, peaking at 72°C, while ground-based temperatures were between 19.5° and 29.2°C, lowest in dense vegetation areas. The statistical analysis confirmed significant temperature differences across vegetation types, with higher LAI areas showing lower temperatures. These results validate the cooling effect of dense vegetation, emphasizing green spaces’ significance in urban climate regulation within cultural heritage sites. The study informs sustainable urban design and conservation, underlining the critical role of vegetation in improving urban microclimates.
Źródło:
Scientific Review Engineering and Environmental Sciences; 2024, 33, 1; 53-68
1732-9353
Pojawia się w:
Scientific Review Engineering and Environmental Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
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
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:
Assessment of benefits resulting from the use of computer control systems in precision agriculture
Autorzy:
Rząsa, Mariusz
Powiązania:
https://bibliotekanauki.pl/articles/2204517.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
precision agriculture
field mapping
vegetation indicator
geological indicator
precision GPS
rolnictwo precyzyjne
mapowanie pola
wskaźnik wegetacji
wskaźnik geologiczny
dokładność GPS
Opis:
Rising food prices mean that solutions are sought that will reduce the costs of agricultural production. One area of research is precision agriculture. This solution requires a computerized plant growth monitoring system. The paper presents a computer system for monitoring plant growth, developed for the needs of precision agriculture for small agricultural areas. The work contains a description of the monitoring system divided into the key elements of the process. An exemplary method of preparing orthophotomaps of the area was presented. The method of making maps that can be implemented on a personal computer has been described. The paper describes the most frequently used Geologic Indicators and Vegetation Index. A test of determining the coefficients was carried out on exemplary acreage with an area of 5.28 ha. Typical positioning systems for agricultural machines are discussed. The DGPS (Differential Global Positioning System) navigation method was used in the tests, which confirmed that it can be used in precision agriculture for small agricultural areas while maintaining sufficient positioning accuracy. The presented system was tested during one cycle of vegetation of winter barley sown with the no-plowing method. On this basis, an analysis of savings resulting from the reduction of the amount of fertilizers and plant care products used was carried out. The proposed system does not require complicated computer systems. It was designed in such a way that it can be implemented on standard PC equipment cooperating with a short-range drone equipped with a standard RGB (Red Green Blue) camera.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 1; art. no. e144582
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of NDVI, NDRE, MSAVI and NDSI indices for early diagnosis of crop problems
Porównanie wskaźników NDVI, NDRE, MSAVI i NDSI do wczesnej diagnozy problemów z plonem
Autorzy:
Voitik, Andrii
Kravchenko, Vasyl
Pushka, Olexandr
Kutkovetska, Tetyana
Shchur, Taras
Kocira, Sławomir
Powiązania:
https://bibliotekanauki.pl/articles/2204326.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Rolniczej
Tematy:
field map
plant development diagnostics
vegetation index
soil salinity index
differential fertilizer
mapa polowa
diagnostyka rozwoju roślin
wskaźnik wegetacji
wskaźniki zasolenia gleby
nawóz zróżnicowany
Opis:
In precision agriculture, it is possible to use satellite monitoring of fields. Satellite monitoring systems allow you to get free images with a resolution of up to 10 m per pixel, which is sufficient to determine the state of vegetation of plants on such indicators as the normalized vegetation index NDVI. However, the NDVI indicator already indicates the existing problems of correction which will not help to restore the lost yield of crops, but only helps to prevent further losses. Using the NDSI soil salinity index, it is possible to determine the difference in its properties from spectral images. Also, you can study the vegetation of plants in the early stages of their development, in fact immediately after germination. Soil-adjusted vegetation index, such as MSAVI, is used for this purpose. Studies indicate the possibility of using NDSI and MSAVI indicators for early diagnosis of confirmed crops NDVI and NDRE (indicating chlorophyll activity in plants) at later stages of their development. Studies conducted on soybean, spring barley and maize crops sown in the spring of 2021 indicate a correspondence between raster field maps show-ing the above indices made from March to July. Statistical analysis of raster images of field maps using specialized software showed a correlation between NDSI and MSAVI in March and May, respectively, with NDVI and NDRE indexes in June and July. Therefore, it is possible to judge the expediency of using NDSI and MSAVI indicators for early diagnosis of possible problems with plant vegetation, as well as for the creation of maps of differential fertilization.
W rolnictwie precyzyjnym możliwe jest wykorzystanie satelitarnego monitoringu pól. Systemy monitorowania satelitarnego pozwalają na uzyskanie darmowych zdjęć o rozdzielczości do 10 m na pixel, co jest wystarczającą wartością do określenia stanu wegetacji roślin na podstawie takich wskaźników jak znormalizowany wskaźnik wegetacji NDVI. Jednakże, wskaźnik NDVI już wskazuje na istniejące problemy w kwestii korekty, która nie jest w stanie odzyskać stracony plon, a tylko pomaga uchronić przed dalszymi stratami. Istotne jest badanie możliwości identyfikacji problemów na wczesnych etapach wegetacji roślin, na przykład na etapie kiełkowania i pierwszym etapie rozwoju rośliny lub wpływu właściwości gleby na przyszły rozwój roślin. Stosując wskaźnik zasolenia gleby NDSI, możliwe jest określenie różnicy w jej właściwościach poprzez obrazowanie spektralne. Można także badać wegetację roślin na wczesnych etapach ich rozwoju, w zasadzie po etapie kiełkowania. W tym celu stosuje się wskaźnik roślinności dostosowany względem gleby, taki jak MSAVI. Badania wskazują na możliwość zastosowania wskaźników NDSI i MSAVI do wczesnej diagnozy potwierdzonych plonów NDVI i NDRE (wskazujące na aktywność chlorofilu w roślinach) na późniejszych etapach ich rozwoju. Badania przeprowadzone na soi, jęczmieniu wiosennym i kukurydzy zasianych wiosną 2021 roku wskazują na odwołanie do map rastrowych pól, wykonanych od marca do lipca, które wskazują na powyższe wskaźniki. Analiza statystyczna obrazów rastrowych map polowych przy użyciu specjalistycznego oprogramowania wykazała korelację pomiędzy NDSI i MSAVI w marcu i maju, odpowiednio ze wskaźnikami NDVI i NDRE w czerwcu i lipcu. Zatem, możliwa jest ocena stosowności użycia wskaźników NDSI i MSAVI do wczesnej diagnozy możliwych problemów z wegetacją roślin, jak również do stworzenia map o różnych stopniach nawożenia.
Źródło:
Agricultural Engineering; 2023, 27, 1; 47--57
2083-1587
Pojawia się w:
Agricultural Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
Tytuł:
Effects of ecological restoration patterns on runoff and sediment in an abandoned coal mine of Southern China
Autorzy:
Li, Hao
Chen, Wenbo
Zhang, Cheng
He, Lei
Liang, Haifen
Li, Haifeng
Liu, Dingpu
Powiązania:
https://bibliotekanauki.pl/articles/28407391.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
citrus fruit
soil conservation
vegetation
Jiangxi Province
ecological restoration
coal mine
owoce cytrusowe
ochrona gleby
wegetacja
Prowincja Jiangxi
renowacja ekologiczna
kopalnia węgla
Opis:
Evaluating the ecological economic benefits of different ecological restoration patterns in abandoned mines is important in ecological restoration study. Taking the abandoned coal mine in Luoshi Township of Fengcheng county, Jiangxi province, as a case, 4 different ecological restoration patterns (grapefruit with grass vegetation – Pattern I, pine with grass vegetation – Pattern II, grapefruit – Pattern III, and bare slope – Pattern IV) have been conducted to study the runoff and sediment yield under natural rainfall conditions. The results showed that the ecological restoration patterns and rainfall intensity can significantly affect runoff and sediment yield which increased as rainfall intensity increased: Pattern IV > Pattern III > Pattern II > Pattern I. For the optimal ecological restoration with Pattern I, the average runoff and sediment reduction was 59.01 and 77.1%, respectively, in all rainfall intensities. Multivariate analysis of variance (MANOVA) showed that runoff and sediment were significantly affected by ecological restoration pattern and rainfall intensity (P < 0.05). Correlation analysis of runoff and sediment yields indicated that the reduction effect on sediment yield increased with the decrease of runoff, and the relationships between runoff and sediment at different ecological restoration patterns could be fitted with a linear function. Moreover, the vegetation configuration that combines fruit farming with grass can be not only beneficial to control soil and water conservation but produce considerable economic and ecological benefits.
Źródło:
Environment Protection Engineering; 2023, 49, 4; 29--44
0324-8828
Pojawia się w:
Environment Protection Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of Global and Regional Climate Changes upon the Crop Yields
Autorzy:
Kaminskiy, Viktor
Asanishvili, Nadia
Bulgakov, Volodymyr
Kaminska, Valentyna
Dukulis, Ilmars
Ivanovs, Semjons
Powiązania:
https://bibliotekanauki.pl/articles/24201704.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
climate
vegetation
model
weather
forecast
productivity
Opis:
The negative impact of global and regional climate changes upon the crop yields leads to the violation of the crop production stability. The development of reliable methods for assessment of the climatic factors by the reaction of the crops to them in order to minimize the impact of climatic stresses upon the sustainability of food systems is an urgent scientific task. This problem was studied on the example of growing corn. A mathematical analysis of the main meteorological indicators for 16 years of research has been performed on the basis of which the frequency and direction of the occurrence of atypical and extreme weather conditions in various periods of the corn vegetation season were established by the coefficient of significance of deviations of the weather elements from the average long-term norm. It has been proved that the probability of occurrence of such weather conditions in the period from April to September is 38–81% in terms of the average temperature of the month, and 31–69% in terms of precipitation. By using the information base of the corn yields in a stationary field experiment with the gradations of factors: A (the fertilizer option) – A1-A12, B (the crop care method) – B1-B3, C (the hybrid) – C1-C7, the most critical month of the corn ontogeny was established when the weather has a decisive influence upon the formation of the crop. With the help of the correlation-regression analysis it was proved that the corn yield most significantly depends on the average monthly temperature in June, and for the hybrids with FАО 200–299 – on the amount of precipitation in the month of May. The obtained mathematical models make it possible to predict the yield of corn at a high level of reliability depending on the indicators of the main climate-forming factors in June, that is, even before the flowering of the plants (before the stage of ВВСН 61).
Źródło:
Journal of Ecological Engineering; 2023, 24, 4; 71--77
2299-8993
Pojawia się w:
Journal of Ecological Engineering
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:
Integrating Vegetation Indices and Spectral Features for Vegetation Mapping from Multispectral Satellite Imagery Using AdaBoost and Random Forest Machine Learning Classifiers
Autorzy:
Saini, Rashmi
Powiązania:
https://bibliotekanauki.pl/articles/2174656.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
ensemble classifiers
Machine Learning
Random Forest
AdaBoost
vegetation mapping
vegetation indices
Opis:
Vegetation mapping is an active research area in the domain of remote sensing. This study proposes a methodology for the mapping of vegetation by integrating several vegetation indices along with original spectral bands. The Land Use Land Cover classification was performed by two powerful Machine Learning techniques, namely Random Forest and AdaBoost. The Random Forest algorithm works on the concept of building multiple decision trees for the final prediction. The other Machine Learning technique selected for the classification is AdaBoost (adaptive boosting), converts a set of weak learners into strong learners. Here, multispectral satellite data of Dehradun, India, was utilised. The results demonstrate an increase of 3.87% and 4.32% after inclusion of selected vegetation indices by Random Forest and AdaBoost respectively. An Overall Accuracy (OA) of 91.23% (kappa value of 0.89) and 88.59% (kappa value of 0.86) was obtained by means of the Random Forest and AdaBoost classifiers respectively. Although Random Forest achieved greater OA as compared to AdaBoost, interestingly AdaBoost provided better class-specific accuracy for the Shrubland class compared to Random Forest. Furthermore, this study also evaluated the importance of each individual feature used in the classification. Results demonstrated that the NDRE, GNDVI, and RTVIcore vegetation indices, and spectral bands (NIR, and Red-Edge), obtained higher importance scores.
Źródło:
Geomatics and Environmental Engineering; 2023, 17, 1; 57--74
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Lake Cliff Landslide Mitigation – A Case Study of Lut Tawar Peusangan Lake, Aceh, Indonesia
Autorzy:
Amri, Ulil
Azizah, Cut
Ernawita
Robo, Sarif
Nuraida
Ismy, Romaynoor
Sastriawan, Halus
Powiązania:
https://bibliotekanauki.pl/articles/2202350.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
cliff
eco-engineering
lake
landslide
mitigation
vegetation
volcano
Opis:
Landslide is one of the most common natural disasters in Indonesia. In Lut Tawar Lake, specifically the cliff side, the landslide event occurs almost daily. Mitigation effort becomes a necessity following the fatality cases it causes. This study aimed to identify landslides and suitable mitigation for the case of Lut Tawar’s lake cliff. A combined approach of landslide survey and image interpretation with field validation was used. In addition, local vegetation surrounding the case area was identified from the survey and interview process. The results showed there are in total 37 landslide points in the study area. The conducted analysis showed the landslide was mainly caused by land use change from forest to a plantation, slope, particularly in the cliff area that was carved for road development, the volcanic geology of Bukit Barisan mountain, rainfall intensity, and the equatorial rainfall characteristic of the study area. The results also suggest the finest solution for landslide mitigation, namely the eco-engineering approach, a revegetation method using the local vegetation. Local vegetation comprises multiple strata, of which grass in the below strata, shrubs in the middle strata, and trees in the upper strata, constitute a shield for the lake cliff. Within this structure, government and community can cultivate these plants in the surrounding lake area.
Źródło:
Journal of Ecological Engineering; 2023, 24, 2; 165--172
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
Tytuł:
Modelling causality between agricultural and meteorological drought indices in the Corong River basin, East Java Indonesia
Autorzy:
Affandy, Nur A.
Iranata, Data
Anwar, Nadjadji
Maulana, Mahendra A.
Prastyo, Dedy D.
Jaelani, Lalu M.
Suryadi, F. X.
Powiązania:
https://bibliotekanauki.pl/articles/28411634.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
drought
river basin
standard normalisation difference vegetation index
NDVI
standardised precipitation evapotranspiration index
SPEI
time series regression
Opis:
The Lamongan Regency is an area in East Java, Indonesia, which often experiences drought, especially in the south. The Corong River basin is located in the southern part of Lamongan, which supplies the irrigation area of the Gondang Reservoir. Drought monitoring in the Corong River basin is very important to ensure the sustainability of the agricultural regions. This study aims to analyse the causal relationship between meteorological and agricultural drought indices represented by standardised precipitation evapotranspiration index (SPEI) and standard normalisation difference vegetation index (NDVI), using time series regression. The correlation between NDVI and SPEI lag 4 has the largest correlation test results between NDVI and SPEI lag, which is 0.41. This suggests that the previous four months of meteorological drought impacted the current agricultural drought. A time series regression model strengthens the results, which show a causal relationship between NDVI and SPEI lag. According to the NDVI-SPEI-1 lag 4 time series model, NDVI was influenced by NDVI in the previous 12 periods, and SPEI-1 in the last four periods had a determinant coefficient value of 0.4. This shows that the causal model between SPEI-1 and NDVI shows a fairly strong relationship for drought management in agricultural areas (irrigated areas) and is considered a reliable and effective tool in determining the severity and duration of drought in the study area.
Źródło:
Journal of Water and Land Development; 2023, 58; 178--188
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
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:
The impact of land set-aside on the chemical and physical properties of the soil and the composition of vegetation species. Case study
Autorzy:
Petryk, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/24201209.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:
soil
land set-aside
heavy metal
vegetation
gleba
odłogowanie gruntów
metale ciężkie
roślinność
Opis:
The study aimed to evaluate the effect of soil use in the Młoszowa and Bolęcin villages on the species composition of the overgrown vegetation. Additionally, the study compared the chemical and physical properties of the soils that were not being used for agriculture. The soils of Młoszowa and Bolęcinvillages did not exceed the permissible concentrations of copper, lead, and zinc for agricultural land, as outlined by the national regulations in [Journal of Laws 2016]. In Młoszowa, the concentration of cadmium exceeded the limit values as per national regulations in [Journal of Laws 2016] for agriculturally utilised land (land group II-2) (<3 g · 10–3 · kg–1 DM). The set-aside of both villages consisted of species typical of ruderal areas, fresh grassland, and thermophilous species. The granulometric composition of the soils, mainly their silt and sand content, were the primary factors that impacted the species composition of the set-aside vegetation. Ruderal and thermophilous species were discovered in the set-aside areas, which are their natural habitats. The occurring ruderal plants typical of post-mining heaps and postindustrial areas, including hemicryptophytes, testify to the long-term process of fallowing and adaptation to the existing ecosystem with a predominance of the most common species.
Źródło:
Geomatics, Landmanagement and Landscape; 2023, 3; 121--133
2300-1496
Pojawia się w:
Geomatics, Landmanagement and Landscape
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 415

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