Modeling of forest ecosystems recovery after fire based on orthogonalization of multispectral satellite data

Stankova, Nataliya; Nedkov, Roumen; Ivanova, Iva; Avetisyan, Daniela

doi:10.1117/12.2325643

Cited by 13 publications

(12 citation statements)

References 3 publications

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“…Remote sensing is an alternative source of information, that provides both high spatial resolution and historical prospect 3 . Remotely sensed data and techniques are successfully utilized to monitor post-fire forest regrowth 4,5 . Most often spectral vegetation indices (VIs) are being used for monitoring forest regrowth dynamics [6][7][8] .…”

Section: Introductionmentioning

confidence: 99%

“…Based on the three Tasseled cap (TC) components (Brightness, Greenness and Wetness), a vector describing the current condition of the forest ecosystem was obtained. Since the used satellite data determine the current condition of the forest ecosystems, we call it Vector of Instantaneous Condition (VIC) [16][17][18] . VIC represents the condition and the relation between the tree main components of the study ecosystem as well as it quantitatively indicates the change in the ratio between the components in case of disaster.…”

Section: Introductionmentioning

confidence: 99%

“…Direction Angle (DA) we call the angle between the Greenness component from the TCT and VIC 16,17 . DA represents the deviation from the condition of the forest before the fire.…”

Section: Introductionmentioning

confidence: 99%

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Modeling post-fire forest regrowth using tasseled cap-derived indicators

Stankova,

Avetisyan

2023

Earth Resources and Environmental Remote Sensing/Gis Applications XIV

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Wildfires are natural processes in the ecosystem, some of them causing significant environmental disturbances. The remote aerospace methods and data can provide an efficient, easy and cost-effective tool for monitoring the recovery of burnt forests which is an essential task in the ecological research. The aim of this study is to monitor post-fire forest regrowth introducing an approach using the tasseled cap derived Disturbance Index (DI), Vector of Instantaneous Condition (VIC) and Direction Angle (DA). The high accuracy of the methodology is based on the linear orthogonal transformation of multispectral satellite images (Tasseled cap transformation (TCT)), which increases the degree of identification of the three main components changing during fire – soil, vegetation and moisture. The proposed method was tested on the territory of three test fires with different forest environments, located next to Bistritsa, Ardino, and Perperek, Bulgaria. For the purpose of post-fire regrowth monitoring Landsat and Sentinel-2 satellite imageries have been used for the study period – 2012-2022. For the purpose of validation very high resolution (VHR) satellite data have been used that include World View (2/3) and GeoEye (1) sensors as well as aerial images. Results obtained by the implementation of the proposed approach represent the post-fire regrowth dynamics. The DA follows the change trends of the VIC, however, more clearly represents the changes of the Greenness TC component for the studied period.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling post-fire forest regrowth using tasseled cap-derived indicators

Stankova,

Avetisyan

2023

Earth Resources and Environmental Remote Sensing/Gis Applications XIV

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“…Many attempts have been made to correlate the risk of respiratory problems in the region with air quality parameters 4,5 . In addition, many field and forest fires occur in this region, which are another source of air pollution [6][7][8] . This combination of sources with high industrial pollution and a region very attractive for agriculture, spa, and tourism gives us a reason for continuous monitoring in an attempt to contribute to reducing air pollution.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal monitoring of air pollution over Bulgaria's largest industrial area using Sentinel-5p TROPOMI data

Dimitrova,

Trenchev,

Avetisyan

et al. 2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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Air pollution is one of the most significant environmental problems in the world nowadays. A considerable part of anthropogenic emissions is produced by industry and Bulgaria is no exception. The most important air pollutants that have a significant impact on the air quality and have a direct or indirect influence on climate change are nitrogen dioxide (NO 2 ), carbon monoxide (CO), methane (CH 4 ) and sulphur dioxide (SO 2 ). This paper reports on pollution monitoring results in Bulgaria's largest industrial area, located in the triangle between the cities of Stara Zagora, Haskovo and Plovdiv. Daily satellite data from the Sentinel 5P -TROPOMI instrument were used to study high levels of nitrogen dioxide, carbon monoxide, methane and sulphur dioxide emissions from October 2018 to December 2022. Validation of the results was carried out using ground data from the nearest Automatic Identification System (AIS) station. The monitoring results show that the study area has the highest levels of NO 2 pollution. However, many cases of SO 2 pollution have also been recorded.

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“…Environmental monitoring by means of remote methods (DM) has been introduced since the 1960s. The method is mainly used for monitoring agriculture and forestry 3,4 . The concerns of ecologists and zoologists about the number of animal populations made it necessary to check the possibilities of DM as early as the 70s of the last century for monitoring animal resources.…”

Section: Introductionmentioning

confidence: 99%

Application of remote sensing methods for monitoring wild life populations: a review

Chanev,

Dolapchiev,

Kamenova

et al. 2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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This publication is a review of the application of remote sensing methods for wildlife population monitoring in zoology. Remote sensing methods are divided into four categories. The first category of methods examines the application of camera traps, the second is about application of unmanned aerial vehicles (UAV), the third category examines the application of satellite images, and the fourth category is summarizing studies focused on GPS tracking. The use of camera traps for monitoring wild life populations proved to be a very applicable and reliable field method for collecting appropriate data on large mammals. Monitoring animal populations through satellites is a method that allows many biogeographic hypotheses related to migration and species distribution. Data obtained from satellite platforms is used as an indirect method in zoology to assess the habitats and food base of animals, as well as to create models of species distribution. Images obtained from UAVs are a new method for conducting studies of wildlife populations, showing greater accuracy and efficiency than conventional methods. GPS tracking is an extremely suitable method used to identify breeding and wintering sites, migration routes, and resting places of many species of migratory birds and mammals. The literature review shows that monitoring animal populations through remote sensing methods are cost and time effective methods that can be successfully performed without exposing researchers to risk. It allows monitoring of difficult-to-access places and large territories as well as to create models of species distribution.

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Modeling of forest ecosystems recovery after fire based on orthogonalization of multispectral satellite data

Cited by 13 publications

References 3 publications

Modeling post-fire forest regrowth using tasseled cap-derived indicators

Modeling post-fire forest regrowth using tasseled cap-derived indicators

Spatio-temporal monitoring of air pollution over Bulgaria's largest industrial area using Sentinel-5p TROPOMI data

Application of remote sensing methods for monitoring wild life populations: a review

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