scholarly journals Analysis of the spectral properties of wheat growth in different vegetation periods

2021 ◽  
Vol 6 (2 (114)) ◽  
pp. 96-102
Author(s):  
Akbota Yerzhanova ◽  
Akmaral Kassymova ◽  
Gulzira Abdikerimova ◽  
Manshuk Abdimomynova ◽  
Zhuldyz Tashenova ◽  
...  
Keyword(s):  
Plant Species ◽  
Satellite Images ◽  
Action Plan ◽  
Main Tool ◽  
Normal Growth ◽  
Spectral Brightness ◽  
Space Images ◽  
Brightness Coefficient ◽  
Spectral Brightness Coefficient ◽  
Spectral Ranges

The article presents a technique for studying space images based on the analysis of the spectral brightness coefficient (SBC) of space images of the earth's surface. Recognition of plant species, soils, and territories using satellite images is an applied task that allows to implement many processes in agriculture and automate the activities of farmers and large farms. The main tool for analyzing satellite imagery data is the clustering of data that uniquely identifies the desired objects and changes associated with various reasons. Based on the data obtained in the course of experiments on obtaining numerical SBC values, the patterns of behavior of the processes of reflection of vegetation, factors that impede the normal growth of plants, and the proposed clustering of the spectral ranges of wave propagation, which can be used to determine the type of objects under consideration, are revealed. Recognition of these causes through the analysis of SBC satellite images will create an information system for monitoring the state of plants and events to eliminate negative causes. SBC data is divided into non-overlapping ranges, i.e. they form clusters reflecting the normal development of plant species and deviations associated with negative causes. If there are deviations, then there is an algorithm that determines the cause of the deviation and proposes an action plan to eliminate the defect. It should be noted that the distribution of the brightness spectra depends on the climatic and geographical conditions of the plant species and is unique for each region. This study refers to the Akmola region, where grain crops are grown

scholarly journals Spectral characteristics of some agricultural crops in different phenological phases of vegetation

2020 ◽  
pp. 56-70
Author(s):  
V. A. Tabunschik ◽  
Т. M. Chekmareva ◽  
R. V. Gorbunov
Keyword(s):  
Software Package ◽  
Satellite Images ◽  
Spectral Characteristics ◽  
Spectral Brightness ◽  
Space Images ◽  
Brightness Coefficient ◽  
Spectral Reflectivity ◽  
Spectral Brightness Coefficient ◽  
Sentinel 2 ◽  
Phenological Phases

For deciphering crops from satellite images at different time periods, it is necessary to have information about the spectral reflectivity of plants during their passage through the phenological phases of vegetation. An attempt was made to evaluate the spectral reflectivity of the main fruit crops and grapes in different phenological phases of the growing season using Sentinel-2 satellite images and the ENVI software package. Field research methods, plots were selected on which peach, grapes, cherries, apple trees, plums, and apricots grow are used. It was established that planting crops was carried out by mixing cultivars in order to reduce the risk of additional costs as a result of possible adverse natural processes and phenomena. For each section, the maximum, minimum, and average values of the spectral brightness coefficient were obtained and analyzed within 13 bands of Sentinel-2 satellite images. Space images were selected for 04/07/2019, 04/27/2019 and 05/12/2019, as the most suitable for the periods of the beginning of flowering (04/07/2019), the end of flowering (04/27/2019) and the beginning of fruit ripening (12/05/2019), with minimal cloud overlap values. To eliminate the external influence of the soil within each pixel of the image, the linear spectral separation module of the ENVI software package was used, a reference soil fragment was selected and its spectral characteristics were obtained, which made it possible to depict graphs of the spectral curves of the crops under study within each section. It was not possible to obtain a distinction of the spectral brightness coefficient for all sections, which is associated with the presence of additional external elements.

scholarly journals Spectral properties of soils and agricultural crops for analysis of satellite images of the Akmola region

2021 ◽  
Vol 79 (1) ◽  
pp. 315-324
Author(s):  
A.E. Yerzhanova ◽  
◽  
S.E. Kerimkulov ◽  
Keyword(s):  
Data Analysis ◽  
Wavelength Range ◽  
Spectral Properties ◽  
Satellite Images ◽  
Recognition Algorithm ◽  
Spectral Brightness ◽  
Agricultural Crops ◽  
Brightness Coefficient ◽  
Spectral Brightness Coefficient ◽  
Different Types

This paper considers the spectral properties of soils and vegetation and their analysis for further application of the results of the article for processing satellite images. Basically, the soils and soils of the Akmola region and agricultural crops inherent in this region are considered. When analyzing the spectral brightness coefficient (SCR), there are differences in the SCR of soils of different types and vegetation. Based on the results of data analysis, the following conclusions were obtained: soil recognition is informative in the wavelength range from 700 nm to 1300 nm; crop recognition is informative in the wavelength range from 850 nm to 1100 nm. When developing an object recognition algorithm, two fixed points of 0.55 microns and a point of 0.66-0.68 microns will be considered for the presence of extremes to determine the type of object.

Sensitivity of the spectral brightness coefficient to variation of the components of seawater

1987 ◽  
Vol 47 (3) ◽  
pp. 951-955
Author(s):  
A. A. Kovalev ◽  
S. B. Kostyukevich ◽  
E. K. Naumenko ◽  
V. E. Plyuta
Keyword(s):  
Spectral Brightness ◽  
Brightness Coefficient ◽  
Spectral Brightness Coefficient

scholarly journals A Digital Framework to Predict the Sunshine Requirements of Landscape Plants

2021 ◽  
Vol 11 (5) ◽  
pp. 2098
Author(s):  
Heyi Wei ◽  
Wenhua Jiang ◽  
Xuejun Liu ◽  
Bo Huang
Keyword(s):  
Solar Radiation ◽  
Plant Species ◽  
Large Scale ◽  
Normal Growth ◽  
Adaptive Selection ◽  
Landscape Plant ◽  
Landscape Plants ◽  
The Stability ◽  
Stability And Accuracy ◽  
The City

Knowledge of the sunshine requirements of landscape plants is important information for the adaptive selection and configuration of plants for urban greening, and is also a basic attribute of plant databases. In the existing studies, the light compensation point (LCP) and light saturation point (LSP) have been commonly used to indicate the shade tolerance for a specific plant; however, these values are difficult to adopt in practice because the landscape architect does not always know what range of solar radiation is the best for maintaining plant health, i.e., normal growth and reproduction. In this paper, to bridge the gap, we present a novel digital framework to predict the sunshine requirements of landscape plants. First, the research introduces the proposed framework, which is composed of a black-box model, solar radiation simulation, and a health standard system for plants. Then, the data fitting between solar radiation and plant growth response is used to obtain the value of solar radiation at different health levels. Finally, we adopt the LI-6400XT Portable Photosynthetic System (Li-Cor Inc., Lincoln, NE, USA) to verify the stability and accuracy of the digital framework through 15 landscape plant species of a residential area in the city of Wuhan, China, and also compared and analyzed the results of other researchers on the same plant species. The results show that the digital framework can robustly obtain the values of the healthy, sub-healthy, and unhealthy levels for the 15 landscape plant species. The purpose of this study is to provide an efficient forecasting tool for large-scale surveys of plant sunshine requirements. The proposed framework will be beneficial for the adaptive selection and configuration of urban plants and will facilitate the construction of landscape plant databases in future studies.

scholarly journals Molecular characterization, expression and functional analysis of acyl-CoA-binding protein gene family in maize (Zea mays)

2019 ◽  
Author(s):  
Jiantang Zhu ◽  
Weijun Li ◽  
Yuanyuan Zhou ◽  
Laming Pei ◽  
Jiajia Liu ◽  
...  
Keyword(s):  
Zea Mays ◽  
Plant Species ◽  
Biotic Stress ◽  
Agronomic Traits ◽  
Expression Profiles ◽  
Constitutive Expression ◽  
Green Fluorescence Protein ◽  
Normal Growth ◽  
Structural Features ◽  
Class Iii

Abstract Background: Acyl-CoA-binding proteins (ACBPs) have a conserved acyl-CoA-binding (ACB) domain which facilitates binding to the acyl-CoA ester and trafficking in eukaryotic cells. Although the various functions of ACBP have been characterized in several plant species, its structural features, molecular evolution, expression profiling and function in Zea mays L . are still not clear. Results: Genome-wide analysis identified nine ZmACBP genes in Z. mays , which were divided into four groups (class I, class II, class III, and class IV) by a phylogenetic tree constructed with 48 ACBP genes from six plant species. The subcellular localizations of the ZmACBPs were displayed subcellular multi-localization via transient expression of green fluorescence protein (GFP) fusions in tobacco ( Nicotiana tabacum ) epidermal cells. The expression profiles of ZmACBPs are dramatically different in different organs and normal growth, as well as abiotic or biotic stress by Quantitative RT-PCR (qRT-PCR). Eight of nine ZmACBP genes located in metaQTL regions associated with agronomic traits in maize. The heterologous constitutive expression of ZmACBP1 and ZmACBP3 in Arabidopsis enhanced the resistance to salinity and osmotic stress. Conclusion: The ACBP genes family in Z. mays were highly conserved. ZmACBP genes had clear tissue and organ expression preference and were involved in abiotic or biotic stress response, suggesting their roles in plant growth and stress resistance.

scholarly journals Adaptive methods of detecting environmental changes using multispectral satellite images on the Earth for example territory Solotvyno

2021 ◽  
Vol 8 (1) ◽  
pp. 10-17
Author(s):  
Vladyslav Yakimchuk ◽  
Kostiantyn Sukhanov ◽  
Olha Tomchenko
Keyword(s):  
Satellite Images ◽  
Environmental Changes ◽  
Optimal Solution ◽  
Adaptive Methods ◽  
Dynamic Changes ◽  
Space Images ◽  
The Earth ◽  
Multispectral Satellite Images ◽  
The Village ◽  
Space Image

The methods for detecting environmental changes using two multispectral multispectral space images of the Earth, which can be used to assess changes in the ecological and geological environment to control the dynamics of processes in real time, in order to prevent environmental emergencies. The creation and operation of a system of continuous geoecological monitoring based on space information involves the detection of relative changes in the environment on two multispectral space images of the Earth, obtained after a certain period of time. To do this, it is necessary to develop and apply adaptive methods (indices) for detecting relative changes. Three methods are proposed that are adapted to specific images to find the optimal solution that maximizes the relative changes in two different time multispectral space images of the Earth. The first method selects one optimal channel from all channels of the space image, the second method - two optimal channels from all channels and the third - four optimal channels from all channels. There are known methods that assess the presence or absence of changes in two space images at different times, but they do not provide information about the direction of changes. The proposed indices can take positive and negative values, reflecting the trend of changes on the ground. The negative values of the indices obtained in the area near the village of Solotvyno, Tyachiv district, Zakarpattia region, correspond to the areas with the most dynamic changes in the environment of such exogenous processes as karst funnels and lakes, and positive values correspond to increasing vegetation areas. The results of comparing the application of the change detection index on two different multispectral space images of the Earth on four, two channels and one channel showed that increasing the number of channels can give a more reasonable picture of changes, but to concretize these changes requires ground-based observations.

Dynamics of modern delta of the Huanghe River at last decades: investigation by satellite images

2017 ◽  
Vol 919 (1) ◽  
pp. 18-24
Author(s):  
V.I. Kravtsovа ◽  
A.N. Inyushin
Keyword(s):  
Satellite Images ◽  
River Delta ◽  
Space Images ◽  
Huanghe River ◽  
Huanghe River Delta ◽  
The Huanghe River

Space images from Landsat-5, -7, -8 satellites were used to investigate the changes of the Huanghe River delta for 1995–2015, after overlapping Quingshuigou channel, active in 1976–1996, turning the river to the East, and forming a new channel and promontory Chahe. In the work with images strong attention was paid to tidal activity. Compiled schemes of modern delta promontories dynamics show the growth of the new promontory of Chahe and the erosion of the old promontory of Quingshuigou. Before the 2000-s the data of the new delta promontory growth exceeded that of the old one, but after this time the erosion became stronger than the accumulation. In spite of sediments discharge reducing, the whole delta continues its growth, although the tendency for its future reducing is emerging.

Burial by sand

2009 ◽  
Author(s):  
M. Anwar Maun
Keyword(s):  
Species Composition ◽  
Plant Species ◽  
Plant Communities ◽  
Salt Spray ◽  
Normal Growth ◽  
Close Correlation ◽  
Woody Perennials ◽  
Physiological Limits ◽  
Tolerant Species ◽  
Sand Deposition

In coastal dune systems, plant communities are fundamentally the product of interaction between disturbance of the substrate, impact of high wind velocities, salt spray episodes, sand accretion levels and other factors of the environmental complex. Burial by sand is probably the most important physical stress that alters species diversity by eliminating disturbance-prone species (Maun 1998). There is a close correlation between sand movement and species composition, coverage and density (Moreno-Casasola 1986; Perumal 1994; Martínez et al. 2001). Sand accretion kills intolerant species, reduces the relative abundance of less tolerant species and increases the abundance of tolerant species. It filters out species as the level of burial starts to exceed their levels of tolerance. For example, lichens and mosses are the first to be eliminated, then the annuals and biennials and finally the herbaceous and woody perennials. Again within each life form and genus there are significant differences in survivability. Burial imposes a strong stress on production by altering normal growth conditions and exposing plants to extreme physiological limits of tolerance. Do plant communities occurring in different locations within a dune system correspond to the amount of sand deposition? Several studies (Birse et al. 1957; Moreno- Casasola 1986; Perumal 1994) show that the species composition and their distribution are strongly related to the long-term average sand deposition. The evolution of a plant community in coastal foredunes requires frequent and persistent predictable burial events specific to a particular coast. In a large majority of sea coasts burial occurrences are of relatively low magnitude and species occupying the coasts are well adapted to withstand the stress imposed by burial. This recurring event within the generation times of plant species allows them to acquire genes of resistance over time and evolution of adaptations to live in this habitat. A prerequisite to survive in this habitat happens to be the ability to withstand partial inundation by sand. To survive the dynamic substrate movement a plant species must be a perennial, be able to withstand burial, endure xerophytic environment, spread radially and vertically, and adapt to exposure on deflation and coverage on burial (Cowles 1899).

Sign in / Sign up

Export Citation Format

Share Document