scholarly journals Satellite Imagery Assists in the Assessment of Hail Damage for Salvage Harvest

1990 ◽  
Vol 66 (5) ◽  
pp. 463-468 ◽  
Author(s):  
M. D. Gillis ◽  
D. G. Leckie ◽  
R. D. Pick

On June 8, 1987 a severe thunderstorm caused extensive hail damage to portions of the forest within Algonquin Provincial Park, Ontario. The Algonquin Forestry Authority, charged with the responsibility for harvest operations within the Park, decided to salvage the damaged forest. A map of the damage was required to determine the area and volume to be harvested. A cooperative project between the Algonquin Forestry Authority and the Petawawa National Forestry Institute was established to map the damaged area by combining satellite imagery and existing ground information and to define the cut blocks using the satellite data as a guide for field work. A colour composite transparency of Landsat Thematic Mapper data was acquired and the damaged area mapped in just over two weeks. The satellite imagery in combination with ground work provided a simple, effective, and timely method for assessing hail storm damage for an operational salvage harvest.

1993 ◽  
Vol 69 (6) ◽  
pp. 667-671 ◽  
Author(s):  
John A. Drieman

The need for a current, regional perspective of the forest of Labrador was identified. Mapping of forest cover types, peat-lands, recent burns and clearcut disturbances was accomplished through visual interpretation of 1:1,000,000 scale Landsat Thematic mapper colour composite transparencies and the transfer of interpreted polygons to a geographic information system. The mapping and verification process is described in this paper. The end product, a forest resource map, provides the most up-to-date and detailed information on Labrador's forest cover types and disturbances available on a single map. The digital format of the map facilities area summaries, viewing and printing.


1985 ◽  
Vol 33 (2) ◽  
pp. 141-150
Author(s):  
D.A. Stellingwerf ◽  
S. Lwin

Comparative estimates were made for a 12 841-ha area of Upper Austria comprising areas of pure or mixed Norway spruce and beech, young stands and non-forest. The Landsat data, classified by principal components analysis, gave very inaccurate differentiation of species, age classes and smaller non-forest areas, although the total forest area was reasonably accurate. Stand vol. of spruce was estimated by 2-stage sampling of both data sets followed by field work on sample plots. The Landsat method required 53% more primary (first-stage sampling) units, 23% more man-days and higher extra costs than the orthophoto method for the same accuracy. (Abstract retrieved from CAB Abstracts by CABI’s permission)


2012 ◽  
Vol 26 (3) ◽  
pp. 249-257 ◽  
Author(s):  
M. Hashemimanesh ◽  
H. Matinfar ◽  
S. Alavipanah ◽  
G. Zehtabian

Landsat thermal band efficiency on characterizing mulched soil surface In order to study petroleum mulch effects on soil, and sand dune fixation, thermal, and reflective bands of Landsat thematic mapper TM and ETM data, and other sources of information including topographic maps, aerial photos, and field work were used. The methodology was comprised of: images processing, statistic analysis, and relationship between thermal and reflective data. The results from image processing show that the behaviour of the Landsat thermal data is completely different from reflective data. The results from colour composite images including thermal bands have shown the capability of thermal bands in reparability of mulched and non-mulched areas. It was generally concluded that selection of TM, ETM thermal band is an important step to evaluate the area covered with petroleum mulch. Ratio mulch index was introduced as a best band combination in order to imagine mulch decomposition.


2018 ◽  
Vol 114 (11/12) ◽  
Author(s):  
Jennifer M. Fitchett

The IBTrACS global best track data set endorsed by the World Meteorological Organization provides a valuable global record of tropical cyclone genesis, track and intensity, and spans 1842 to the present. The record is significantly more robust from the late 1970s onwards, as it is supported by satellite imagery. These records indicate that the first tropical cyclone in the South Indian Ocean to intensify to CAT5 status did so in 1994. This date is significantly later than the first CAT5 storms recorded in the IBTrACS database for the Atlantic Ocean (1924) and the North Pacific (1951) recorded from ship records, and half a decade later than those of the North Indian Ocean (1989) and South Pacific (1988), captured from satellite imagery. Following this late emergence, in the period 1990–2000, eight CAT5 tropical cyclones were recorded for the South Indian Ocean. A further four have been recorded for the period 2010–2015. This recent emergence of tropical cyclones attaining category five intensity in the South Indian Ocean is of significance for the forecasting of tropical cyclone landfall and the anticipation of storm damage for the developing economies that characterise the region. Although an increase in tropical cyclone intensity is frequently projected under global climate change scenarios, the dynamics for the South Indian Ocean have remained poorly understood. Notable are early results indicating an increased frequency and poleward migration of these CAT5 storms, concurrent with a poleward migration in the position of the 26.5 °C, 28 °C and 29 °C sea surface temperature isotherms in the South Indian Ocean. Significance: Category 5 tropical cyclones, the strongest category of storms, have only recently emerged in the South Indian Ocean. Since 1989, their frequency of occurrence has increased. This increase poses a heightened risk of storm damage for the South Indian Ocean Island States and the countries of the southern African subcontinent as a result of the strong winds, heavy rainfall and storm surges associated with these storms, and the large radial extent at category 5 strength.


2021 ◽  
Vol 13 (9) ◽  
pp. 1634
Author(s):  
Sarah A. Wegmueller ◽  
Philip A. Townsend

Severe forest disturbance events are becoming more common due to climate change and many forest managers rely heavily upon airborne surveys to map damage. However, when the damage is extensive, airborne assets are in high demand and it can take managers several weeks to account for the damage, delaying important management actions. While some satellite-based systems exist to help with this process, their spatial resolution or latency can be too large for the needs of managers, as evidenced by the continued use of airborne imaging. Here, we present a new, operational-focused system capable of leveraging high spatial and temporal resolution Sentinel-2 and Planet Dove imagery to support the mapping process. This system, which we have named Astrape (“ah-STRAH-pee”), uses recently developed techniques in image segmentation and machine learning to produce maps of damage in different forest types and regions without requiring ground data, greatly reducing the need for potentially dangerous airborne surveys and ground sampling needed to accurately quantify severe damage. Although some limited field work is required to verify results, similar to current operational systems, Astrape-produced maps achieved 78–86% accuracy with respect to damage severity when evaluated against reference data. We present the Astrape framework and demonstrate its flexibility and potential with four case studies depicting four different disturbance types—fire, hurricane, derecho and tornado—in three disparate regions of the United States. Astrape is capable of leveraging various sources of satellite imagery and offers an efficient, flexible and economical option for mapping severe damage in forests.


Author(s):  
Sh. Kh. Gaynanov ◽  
◽  
A. V. Konoplev ◽  
S. V. Kozlovskiy ◽  
◽  
...  

In this work, the location of the karst sinkholes not recorded during field work was mapped using satellite imagery data. Based on GIS, engineering-geological zoning of the territory was carried out by the method of distance from the nearest surface karst occurrence. The results of the sinkholes density analysis of the territory conducted using the sliding window method are presented. The complex engineering-geological zonation of the territory was carried out according to the complexity of the engineering-geological situation.


2006 ◽  
Vol 21 (3) ◽  
pp. 249-267 ◽  
Author(s):  
Gary J. Jedlovec ◽  
Udaysankar Nair ◽  
Stephanie L. Haines

Abstract The damage surveys conducted by the NWS in the aftermath of a reported tornadic event are used to document the location of the tornado ground damage track (pathlength and width) and an estimation of the tornado intensity. This study explores the possibility of using near-real-time medium and high spatial resolution satellite imagery from the NASA Earth Observing System satellites to provide additional information for the surveys. Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) data were used to study the damage tracks from three tornadic storms: the La Plata, Maryland, storm of 28 April 2002 and the Ellsinore and Marquand, Missouri, storms of 24 April 2002. These storms varied in intensity and occurred over regions with significantly different land cover. It was found that, depending on the nature of the land cover, tornado damage tracks from intense storms (F1 or greater) and hail storms may be evident in ASTER, Landsat, and MODIS satellite imagery. In areas where the land cover is dominated by forests, the scar patterns can show up very clearly, while in areas of grassland and regions with few trees, scar patterns are not as obvious or cannot be seen at all in the satellite imagery. The detection of previously unidentified segments of a damage track caused by the 24 April 2002 Marquand, Missouri, tornado demonstrates the utility of satellite imagery for damage surveys. However, the capability to detect tornado tracks in satellite imagery depends on the ability to observe the ground without obstruction from space and appears to be as much dependent on the nature of the underlying surface and land cover as on the severity of the tornadic storm.


Sign in / Sign up

Export Citation Format

Share Document