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Wpływ susz na wskaźniki teledetekcyjne grądu wysokiego i boru mieszanego w Lesie Młochowskim - analiza zobrazowań satelitarnych Sentinel-2 lasów objętych ochroną ścisłą oraz gospodarczych w latach 2017-2021

100%

Kotlarz J.

Leśne Prace Badawcze

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2021

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tom 82

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nr 3

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Monitorowanie zasięgu roślinności o charakterze leśnym w obszarach rekultywowanych z zastosowaniem zobrazowań satelitarnych Sentinel-2

100%

Szostak M., Knapik K., Likus-Cieslik J., Wezyk P., Pietrzykowski M.

Sylwan

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2019

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tom 163

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nr 01

Presented research investigates the possibility of applying the newest, free available satellite images Sentinel−2 for the automation of land use/cover (LULC) mapping in reclaimed areas, mainly in the aspect of monitoring forested areas. The study was performed for the former sulphur mines: ‘Machów’ (871.7 ha of the dump area after the opencast strip mine) and ‘Jeziórko’ (216.5 ha of the afforested area after the borehole exploitation). These areas are characterized by a diverse terrain structure and vegetation cover as the result of reclamation. The applied directions of reclamation were agro−forestry for the Sulphur Mine ‘Machów’ and forestry for the Sulphur Mine ‘Jeziórko’. We verified whether processing of Sentinel−2 data allows for reliable LULC classification – mainly identification forested areas in relation to the LULC mapping prepared by manual vectorization of orthophotomaps. Obtained classification results for Sentinel−2 data were also compared to the results of Landsat 8 images processing. The results of Sentinel−2 images classification showed correct graphical representation of the LULC classes, especially forested areas, in the relation to the results of applied on−screen vectorization of aerial orthophotomaps – better than results of the Landsat 8 images processing. The area of the mail class ‘Forests’ as a result of classification Sentinel−2 and Landsat 8 images compared to the results of manual on−screen vectorization of the orthophomaps shows differences: 5.4% – Sentinel−2, 12.8% – Landsat 8 for Sulphur Mine ‘Machów’ and 1.8% – Sentinel−2, 8.8% – Landsat 8 for Sulphur Mine ‘Jeziórko’. Research indicates the possibility of automation of LULC classification using Sentinel−2 images. It could be very useful for LULC changes monitoring in reclaimed areas, mainly in the aspect of forested areas mapping as a result of way of reclamation.

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Zastosowanie danych z satelity Sentinel-2 do szacowania rozmiaru szkód spowodowanych w lasach huraganowym wiatrem w sierpniu 2017 roku

100%

Hoscilo A., Lewandowska A.

Sylwan

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2018

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tom 162

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nr 08

Extreme weather events such as hurricanes, floods or fires become more and more common phenomena in Europe. In August 2017, strong wind accompanied by heavy thunderstorms caused severe damage over the large area in central and western Poland. According to rapid damage assessment prepared by the State Forests authorities a few days after the windthrow, ca 79.7 thousand hectares of forest was damaged and 9.8 million of cubic meters of wood was lost. Assessment of such a large−scale forest damage is difficult without using the remote sensed data. In this study, we examined the potential of the European satellite Sentinel−2 data for assessment of the forest damage caused by the windthrow. The assessment was performed using a difference between a normalized difference moisture index (NDMI) calculated based on the pre− and post−damage Sentinel−2 images. NDMI was calculated based on NIR (824 nm) and SWIR (1610 nm) bands. The result of this study showed the total damage area in forest is equal to 35.8 thousand hectares, of which 27.7 thousand hectares was damaged within the State Forests and 8.1 thousand hectares outside the State Forests administration. These figures are much lower than the estimates by the State Forests, regarding the forest damage within the State Forests and higher comparing to estimations in the non−state forest. In fact, these figures are comparable with the heavily damage areas assigned to clearance by the State Forests. The accurate comparison of the results was not possible due to the lack of up−to−date information on forest damage. Sentinel−2 data revealed to be perfect data for large scale damage assessment and postdamage forest monitoring mainly due to the wide swath up to 290 km. The limitation of the optical sensors is the cloudiness. Unfortunately, in the case of this analysis, the first cloud free image was acquired 6 weeks after the windthrow. It reduces the potential of the single−source data for rapid assessment of damages.

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Zastosowanie satelitarnych wskaźników teledetekcyjnych do monitorowania uwilgocenia biomasy w uprawach miskanta olbrzymiego (Miscanthus x giganteus)

80%

Kubiak K., Kotlarz J.

Technika Rolnicza Ogrodnicza Leśna

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2019

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nr 3

Ograniczanie wyników

2 Sylwan

1 Leśne Prace Badawcze

1 Technika Rolnicza Ogrodnicza Leśna

2 Kotlarz J.

1 Hoscilo A.

1 Knapik K.

1 Kubiak K.

1 Lewandowska A.

1 Likus-Cieslik J.

1 Pietrzykowski M.

1 Szostak M.

1 Wezyk P.

1 2021

2 2019

1 2018

Wpływ susz na wskaźniki teledetekcyjne grądu wysokiego i boru mieszanego w Lesie Młochowskim - analiza zobrazowań satelitarnych Sentinel-2 lasów objętych ochroną ścisłą oraz gospodarczych w latach 2017-2021

Monitorowanie zasięgu roślinności o charakterze leśnym w obszarach rekultywowanych z zastosowaniem zobrazowań satelitarnych Sentinel-2

Zastosowanie danych z satelity Sentinel-2 do szacowania rozmiaru szkód spowodowanych w lasach huraganowym wiatrem w sierpniu 2017 roku

Zastosowanie satelitarnych wskaźników teledetekcyjnych do monitorowania uwilgocenia biomasy w uprawach miskanta olbrzymiego (Miscanthus x giganteus)