Monitoring forest regrowth with different burn severity using aerial and Landsat data

Stankova, Nataliya; Nedkov, Roumen

doi:10.1109/igarss.2015.7326233

Cited by 16 publications

(13 citation statements)

References 6 publications

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“…The first of these signals represents a coarsened copy of the original, and the second is informative or detailed for the original signal. (4) .…”

Section: Basic Conceptsmentioning

confidence: 99%

“…In relation to the emergence of a variety of information technologies with their numerous capabilities, wide-range monitoring has been provided for a variety of phenomena and, accordingly, objects [1][2][3][4][5][6][7][8][9]. It is, first of all, the satellite systems of Earth observation and large flows of information entering the scientific laboratories.…”

Section: Introductionmentioning

confidence: 99%

“…The WDF space monitoring system functions as follows. In block II, space images are processed by means of automation of cosmic image processing in conjunction with detection of WDF 4 . Comparing the detection area of the WDF with the data of the database of solid waste landfills in block I, unauthorized WDFs are detected, and fixed in block II.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation of the similarity algorithm of the satellite images storage system for stability on the basis of Haar wavelets according to Tikhonov

Kazaryan¹,

Shahramanian²,

Zabunov³

2019

ARB

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“…The first of these signals represents a coarsened copy of the original, and the second is informative or detailed for the original signal. (4) .…”

Section: Basic Conceptsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of the similarity algorithm of the satellite images storage system for stability on the basis of Haar wavelets according to Tikhonov

Kazaryan¹,

Shahramanian²,

Zabunov³

2019

ARB

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show abstract

“…As a matter of fact, we speak about the application of the mathematical apparatus, namely, of wavelet analysis in the subsystem of detecting the unauthorized WDSs, while working with aerospace information, primarily for automated decryption. As different information technologies with multiple characteristics emerge, remote monitoring of various phenomena and objects is now quite possible and is widely used [1,12,[22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the basic Haar wavelet-transformations in the problem of decryption of space images on detection of waste disposal fields

Kazaryan¹,

Shahramanian²,

Zabunov³

2018

ARB

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In this paper, we study the use of orthogonal transformations, namely, the basic Haar wavelet transforms, for data processing of the Earth remote sensing. The internal structure of orthogonal Haar transforms is considered. The Haar matrix is divided into blocks of the same type, so that parallelization of the computations is possible. The expediency of replacing the spectral components corresponding to the whole block (or several blocks) of the original matrix with zeros is asserted. Theoretical and experimental studies are carried out to improve the results of image classification (on the example of cluster analysis). The Haar wavelet expansion coefficients are used as indicators when decoding space images for the presence of waste disposal sites. The aim of this paper is to describe the approach, on the basis of which an optimal method is established on a class of vectors with real components, application of two-dimensional discrete Haar wavelet transformations in the problem of recognition of space images for the presence of waste disposal sites. General methodology of research. The paper uses elements of mathematical analysis, wavelet analysis, the theory of discrete orthogonal transformations, and methods for decoding cosmic images. Scientific novelty. Encoding by means of conversion is an indirect method, especially effective in processing of two-dimensional signals, in particular, space images used for remote sensing of the Earth. We propose the approach that takes into account the structure of the wavelet-Haar matrix, while recognizing waste disposal fields by means of space images. The article comprises the result of the experimental application of wavelet-Haar transformations for decoding of space images. We consider this case, both with and without the technique of taking into account the structure of the wavelet-Haar matrices.

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“…construction of new ski resorts and facilities) [2]. In addition to these factors, forest disturbance due to wildfires and pest infestation are not uncommon and may affect significant area [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the land surface temperature dynamics in the city of Sofia using Landsat satellite data

Dimitrov¹,

Olofsson²,

Jelev³

et al. 2018

ARB

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The paper presents the results of forest cover change mapping in two study areas in Bulgaria (in mountainous and plain-hilly terrain) for period of about 20 years. A comparison was made of two approaches for classification of multitemporal SPOT HRV/HRVIR data with 20 m spatial resolution. The first approach was the post-classification comparison, i.e. pixel-by-pixel comparison of forest/non forest maps produced by separate classifications of the images from the two ends of the time period. The second approach was a direct multitemporal classification of an image stack comprised of the two-date image data. Following international guidance, instead of counting pixels in the map to obtain the area of forest loss and gain, the areas were estimated by applying an unbiased estimator to sample data collected by stratified random sampling. The map was used to stratify the study areas. Producer’s, user’s and overall accuracy were also estimated using the sample data. A comparison of accuracy and area estimates, and confidence intervals of estimates, showed that the map produced by direct multitemporal classification was more accurate. It yielded consistently higher class-specific accuracies than the map made by post-classification comparison. As expected, the accuracies of the change classes – forest disturbance and reforestation – were significantly lower than that of the stable classes regardless of the change detection approach. Finally, practical issues and guidelines for future forest change detection studies were discussed.

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Monitoring forest regrowth with different burn severity using aerial and Landsat data

Cited by 16 publications

References 6 publications

Investigation of the similarity algorithm of the satellite images storage system for stability on the basis of Haar wavelets according to Tikhonov

Investigation of the similarity algorithm of the satellite images storage system for stability on the basis of Haar wavelets according to Tikhonov

Investigation of the basic Haar wavelet-transformations in the problem of decryption of space images on detection of waste disposal fields

Assessment of the land surface temperature dynamics in the city of Sofia using Landsat satellite data

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