ИНВЕНТАРИЗАЦИЯ ЗАЩИТНЫХ ЛЕСНЫХ НАСАЖДЕНИЙ НА ЗЕМЛЯХ СЕЛЬСКОХОЗЯЙСТВЕННОГО НАЗНАЧЕНИЯ

В статье приводится анализ хозяйственного использования лесных защитных насаждений на землях сельскохозяйственного назначения. Целью исследований являлась инвентаризация лесных защитных насаждений на территории Волчковского сельсовета Белинского района с целью сохранения и восстановления агролесомелиоративного фонда. В камеральных условиях создан актуальный картографический материал на базе космических снимков высокого и сверхвысокого разрешения, проведено визуальное дешифрирование с составлением векторного полигонального слоя текущего местоположения защитных лесных насаждений, определено количество дешифрированных объектов, их правовой статус и общая площадь (199,2 га). Расчет индекса NDVI показал, что состояние, не требующее проведения мероприятий по восстановлению (обновлению), имеют 77 лесных полос общей площадью 127,1 га состояние, требующее мероприятий по восстановлению (обновлению), актуально для 31 лесной полосы площадью 70,4 га полностью утраченная одна лесная полоса площадью 1,7 га. Разработана дорожная карта мероприятий по сохранению агролесомелиоративного фонда.The article provides an analysis of economic use of shelterbelt forests on agricultural lands. The aim of the research was a compartment description of shelterbelt forests on the territory of the Volchkovsky village council of the Belinsky district in order to preserve and restore the stock of reclamative afforestating land. In the laboratory conditions, an up-to-date cartographic material was created on the basis of high-resolution and ultra-high-resolution satellite images, visual interpretation was made with the preparation of a vector polygonal layer of the current location of the shelterbelt forests, the number of decrypted objects, their legal status and total area (199.2 ha) were determined. The calculation of the NDVI index showed that the state, not requiring restoration (updating) measures, had 77 forest strips with a total area of 127.1 hectares a condition requiring restoration (renewal) measures was relevant for 31 forest strips with an area of 70.4 ha one forest strip with an area of 1.7 hectares was completely lost. A roadmap for the conservation of the stock of reclamative afforestating land was developed.

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Informative value of ultra-high resolution satellite images for monitoring the moisture content of the tundra cover

Actual Problems of Oil and Gas ◽

10.29222/ipng.2078-5712.2020-29.art7 ◽

2020 ◽

pp. 82-95

Author(s):

S.G. Kornienko

Keyword(s):

High Resolution ◽

Moisture Content ◽

Satellite Images ◽

Near Infrared ◽

Yamal Peninsula ◽

Ground Vegetation ◽

Ndvi Index ◽

Fundamental Possibility ◽

High Resolution Satellite Images ◽

Landsat 7

The article substantiates the fundamental possibility of using multispectral ultra-high spatial resolution satellite images for monitoring the moisture content of the tundra. The results of the analysis of spectral images from the QuickBird satellite in the area of the construction of the runway in the village Sabetta (the Yamal Peninsula) indicate an obvious relationship between the reflectance factors in the red (ρRED) and near infrared (ρNIR) regions with the types of terrain of varying degrees of drainage. The possibility of assessing changes in the moisture content of the tundra cover using high-resolution images is confirmed by the results of verifying the changes in ρRED, ρNIR and the NDVI index (according to the QuickBird and Ikonos satellites) by comparing with the changes in the NDWI index, which characterizes the cover moisture (according to the Landsat 7, 8 satellites). It is shown that the parameter ρRED is less sensitive, but it has an advantage over ρNIR and NDVI, since it changes unidirectionally with the changes in moisture for any encountered types of surface – from bare ground to developed ground vegetation cover with any real values of the NDVI index.

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Visual Damage Assessment using High-Resolution Satellite Images following the 2003 Bam, Iran, Earthquake

Earthquake Spectra ◽

10.1193/1.2101107 ◽

2005 ◽

Vol 21 (1_suppl) ◽

pp. 309-318 ◽

Cited By ~ 17

Author(s):

Keiko Saito ◽

Robin Spence ◽

Terence A. de C Foley

Keyword(s):

High Resolution ◽

Damage Assessment ◽

Satellite Images ◽

Building Damage ◽

Absolute Difference ◽

Visual Interpretation ◽

Damage Distribution ◽

Visual Damage ◽

High Resolution Satellite Images ◽

Damage Map

Visual interpretation of the building damage distribution in Bam, Iran, caused by the earthquake on 26 December 2003 has been carried out using pre- and post-earthquake QuickBird panchromatic high-resolution satellite images to produce a damage map. Two experienced interpreters carried out the assessments, and their results were compared to analyze the reasons for discrepancies likely to occur from interpretations by different interpreters. The first damage interpretation was carried out on the post-earthquake image, whereas the second interpretation compared the pre- and post-earthquake images. The analysis revealed that when using only the post-earthquake image, interpreters tend to underestimate the levels of damage, since both interpreters assigned higher damage levels when the pre- and post-earthquake image were compared than when only using the post-earthquake image. The absolute difference in the damage levels the two interpreters assigned in the post-only assessment and pre-and post-event comparison assessment remained the same.

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Determination of the Flooded Agricultural Lands with Spot 6 High Resolution Satellite Images: A Case Study of Menderes Plain, Turkey

2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics) ◽

10.1109/agro-geoinformatics.2019.8820242 ◽

2019 ◽

Author(s):

Ugur Alganci ◽

Elif Sertel ◽

Sinasi Kaya

Keyword(s):

High Resolution ◽

Satellite Images ◽

Agricultural Lands ◽

High Resolution Satellite Images

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AUTOMATED PANSHARPENING INFORMATION TECHNOLOGY OF SATELLITE IMAGES

Radio Electronics Computer Science Control ◽

10.15588/1607-3274-2021-2-13 ◽

2021 ◽

pp. 123-132

Author(s):

V. V. Hnatushenko ◽

V. Yu. Kashtan

Keyword(s):

Image Processing ◽

Information Technology ◽

High Resolution ◽

Spatial Resolution ◽

Satellite Images ◽

High Spatial Resolution ◽

Image Resolution ◽

Resolution Image ◽

Ndvi Index ◽

High Resolution Satellite Images

Context. Nowadays, information technologies are widely used in digital image processing. The task of joint processing of satellite image obtained by different space systems that have different spatial differences is important. The already known pansharpening methods to improve the quality of the resulting image, there are new scientific problems associated with increasing the requirements for high-resolution image processing and the development of automated technology for processing the satellite data for further thematic analysis. Most spatial resolution techniques result in artifacts. Our work explores the major remote sensing data fusion techniques at pixel level and reviews the concept, principals, limitations and advantages for each technique with the program implementation of research. Objective. The goal of the work is analyze the effectiveness of the traditional pan-sharpening methods like the Brovey, the wavelet-transform, the GIHS, the HCT and the combined pansharpening method for satellite images of high-spatial resolution. Method. In this paper we propose the information technology for pansharpening high spatial resolution images with automation of choosing the best method based on the analysis of quantitative and qualitative evolutions. The method involves the scaling multispectral image to the size of the panchromatic image; using histogram equalization to adjust the primary images by aligning the integral areas of the sections with different brightness; conversion of primary images after the spectral correction on traditional pansharpening methods; analyze the effectiveness of the results obtained for conducts their detailed comparative visual and quantitative evaluation. The technology allows determining the best method of pansharpening by analyzing quantitative metrics: the NDVI index, the RMSE and the ERGAS. The NDVI index for the methods Brovey and HPF indicate color distortion in comparison with the reference data. This is due to the fact that the Brovey and HPF methods are based on the fusion of three channel images and do not include the information contained in the near infrared range. The RMSE and the ERGAS show the superiority of the combined HSVHCT-Wavelet method over the conventional and state-of-art image resolution enhancement techniques of high resolution satellite images. This is achieved, in particular, by preliminary processing of primary images, data processing localized spectral bases, optimized performance information, and the information contained in the infrared image. Results. The software implementing proposed method is developed. The experiments to study the properties of the proposed algorithm are conducted. Experimental evaluation performed on eight-primary satellite images of high spatial resolution obtained WorldView-2 satellite. The experimental results show that a synthesized high spatial resolution image with high information content is achieved with the complex use of fusion methods, which makes it possible to increase the spatial resolution of the original multichannel image without color distortions. Conclusions. The experiments confirmed the effectiveness of the proposed automated information technology for pansharpening high-resolution satellite images with the development of a graphical interface to obtain a new synthesized image. In addition, the proposed technology will effectively carry out further recognition and real-time monitoring infrastructure.

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