USING RUSSIAN REMOTE SENSING DATA FOR STUDING THE DYNAMIC OF ECOLOGICAL AND RESOURSE POTENTIAL RECOVERY OF FORESTS AREA AFTER THE IMPACT OF FOREST FIRES

Assessing how climate change will affect hydrological ecosystem services (HES) provision is necessary for long-term planning and requires local comprehensive climate information. In this study, we used SWAT to evaluate the impacts on four HES, natural hazard protection, erosion control regulation and water supply and flow regulation for the Laguna del Sauce catchment in Uruguay. We used downscaled CMIP-5 global climate models for Representative Concentration Pathways (RCP) 2.6, 4.5 and 8.5 projections. We calibrated and validated our SWAT model for the periods 2005–2009 and 2010–2013 based on remote sensed ET data. Monthly NSE and R2 values for calibration and validation were 0.74, 0.64 and 0.79, 0.84, respectively. Our results suggest that climate change will likely negatively affect the water resources of the Laguna del Sauce catchment, especially in the RCP 8.5 scenario. In all RCP scenarios, the catchment is likely to experience a wetting trend, higher temperatures, seasonality shifts and an increase in extreme precipitation events, particularly in frequency and magnitude. This will likely affect water quality provision through runoff and sediment yield inputs, reducing the erosion control HES and likely aggravating eutrophication. Although the amount of water will increase, changes to the hydrological cycle might jeopardize the stability of freshwater supplies and HES on which many people in the south-eastern region of Uruguay depend. Despite streamflow monitoring capacities need to be enhanced to reduce the uncertainty of model results, our findings provide valuable insights for water resources planning in the study area. Hence, water management and monitoring capacities need to be enhanced to reduce the potential negative climate change impacts on HES. The methodological approach presented here, based on satellite ET data can be replicated and adapted to any other place in the world since we employed open-access software and remote sensing data for all the phases of hydrological modelling and HES provision assessment.

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ANALYSIS OF THE IMPACT OF OIL PRODUCT SPILLS ON NATURAL OBJECTS BASED ON SENTINEL-2 REMOTE SENSING DATA IN EASTERN SIBERIA

Interexpo GEO-Siberia ◽

10.33764/2618-981x-2021-6-24-31 ◽

2021 ◽

Vol 6 ◽

pp. 24-31

Author(s):

Dmitry A. Baikin

Keyword(s):

Remote Sensing ◽

Oil Spills ◽

Remote Sensing Data ◽

Oil Products ◽

Eastern Siberia ◽

Sensing Data ◽

Sensing System ◽

Natural Objects ◽

The Impact ◽

Sentinel 2

The article analyzes the impact of oil spills on natural objects according to the remote sensing system Sentinel-2 in Eastern Siberia. Remote sensing data analysis is used to detect traces of oil products in the accident area. Conclusions about the usage of Sentinel-2 data for detecting traces of oil products were made.

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Study of forest fires seasonal dynamics in Yakutia on remote sensing data

10.1117/12.2247763 ◽

2016 ◽

Author(s):

Oleg A. Tomshin ◽

Vladimir S. Solovyev

Keyword(s):

Remote Sensing ◽

Forest Fires ◽

Seasonal Dynamics ◽

Remote Sensing Data ◽

Sensing Data

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Corrigendum to "Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010" published in Biogeosciences, 8, 3771–3791, 2011

Biogeosciences ◽

10.5194/bg-9-41-2012 ◽

2012 ◽

Vol 9 (1) ◽

pp. 41-45 ◽

Cited By ~ 1

Author(s):

L. Mei ◽

Y. Xue ◽

G. de Leeuw ◽

J. Guang ◽

Y. Wang ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

The Impact ◽

Surface Observations

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An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9070457 ◽

2020 ◽

Vol 9 (7) ◽

pp. 457

Author(s):

Aspasia Litoseliti ◽

Ioannis K. Koukouvelas ◽

Konstantinos G. Nikolakopoulos ◽

Vasiliki Zygouri

Keyword(s):

Remote Sensing ◽

Aspect Ratio ◽

Remote Sensing Data ◽

Historical Seismicity ◽

Landslide Hazard ◽

Disaster Mitigation ◽

Earthquake Activity ◽

Sensing Data ◽

Reach Angle ◽

The Impact

Assessment of landslide hazard across mountains is imperative for public safety. Pre- and post-earthquake landslide mapping envisage that landslides show significant size changes during earthquake activity. One of the purposes of earthquake-induced landslide investigation is to determine the landslide state and geometry and draw conclusions on their mobility. This study was based on remote sensing data that covered 72 years, and focused on the west slopes of the Skolis Mountains, in the northwest Peloponnese. On 8 June 2008, during the strong Movri Mountain earthquake (Mw = 6.4), we mapped the extremely abundant landslide occurrence. Historical seismicity and remote sensing data indicate that the Skolis Mountain west slope is repeatedly affected by landslides. The impact of the earthquakes was based on the estimation of Arias intensity in the study area. We recognized that 89 landslides developed over the last 72 years. These landslides increased their width (W), called herein as inflation or their length (L), termed as enlargement. Length and width changes were used to describe their aspect ratio (L/W). Based on the aspect ratio, the 89 landslides were classified into three types: I, J, and Δ. Taluses, developed at the base of the slope and belonging to the J- and Δ-landslide types, are supplied by narrow or irregular channels. During the earthquakes, the landslide channels migrated upward and downward, outlining the mobility of the earthquake-induced landslides. Landslide mobility was defined by the reach angle. The reach angle is the arctangent of the landslide’s height to length ratio. Furthermore, we analyzed the present slope stability across the Skolis Mountain by using the landslide density (LD), landslide area percentage (LAP), and landslide frequency (LF). All these parameters were used to evaluate the spatial and temporal landslide distribution and evolution with the earthquake activity. These results can be considered as a powerful tool for earthquake-induced landslide disaster mitigation

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Estimation of area burned by forest fires in Mediterranean countries: A remote sensing data mining perspective

Forest Ecology and Management ◽

10.1016/j.foreco.2011.07.010 ◽

2011 ◽

Vol 262 (8) ◽

pp. 1597-1607 ◽

Cited By ~ 18

Author(s):

Carmen Quintano ◽

Alfonso Fernández-Manso ◽

Alfred Stein ◽

Wietske Bijker

Keyword(s):

Remote Sensing ◽

Data Mining ◽

Forest Fires ◽

Remote Sensing Data ◽

Sensing Data ◽

Area Burned ◽

Mediterranean Countries

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Assessing the impact of urbanization on net primary productivity using multi-scale remote sensing data: a case study of Xuzhou, China

Frontiers of Earth Science ◽

10.1007/s11707-014-0454-7 ◽

2014 ◽

Vol 9 (2) ◽

pp. 319-329 ◽

Cited By ~ 5

Author(s):

Kun Tan ◽

Songyang Zhou ◽

Erzhu Li ◽

Peijun Du

Keyword(s):

Remote Sensing ◽

Primary Productivity ◽

Net Primary Productivity ◽

Remote Sensing Data ◽

Sensing Data ◽

Multi Scale ◽

Impact Of Urbanization ◽

The Impact

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Opportunities and problems of using remote sensing data (RSD) in monitoring forest fires

Actual directions of scientific researches of the XXI century theory and practice ◽

10.12737/14085 ◽

2015 ◽

Vol 3 (4) ◽

pp. 58-62 ◽

Cited By ~ 1

Author(s):

V. Kostilev ◽

Yu. Pokidisheva ◽

K. Barsukov

Keyword(s):

Remote Sensing ◽

Forest Fires ◽

Remote Sensing Data ◽

Sensing Data

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Moderate-Resolution Remote Sensing and Geospatial Analyses of Microclimates, Mounds, and Maize in the Northern Great Lakes

Advances in Archaeological Practice ◽

10.7183/2326-3768.2.3.195 ◽

2014 ◽

Vol 2 (3) ◽

pp. 195-207 ◽

Cited By ~ 3

Author(s):

Meghan C.L. Howey ◽

Michael Palace ◽

Crystal H. McMichael ◽

Bobby Braswell

Keyword(s):

Remote Sensing ◽

Great Lakes ◽

Remote Sensing Data ◽

Sensing Data ◽

Inland Lakes ◽

Maize Cultivation ◽

Geospatial Analyses ◽

Moderate Resolution ◽

Burial Mounds ◽

The Impact

AbstractRemote sensing applications are increasingly common in archaeology but they often focus on high resolution imagery and direct archaeological site detection. Moderate spatial resolution remote sensing instruments, which have (near) daily repeat intervals, but contain less detailed spectral and spatial information, have been employed much less frequently in archaeology. However, moderate remote sensing data offer distinct advantages for archaeological research as they can be used to relate archaeological, ecological, and climactic data at vast spatial scales. To show this potential, we use moderate remote sensing data to examine the impact of landscape heterogeneity on the spread of indigenous maize horticulture in the northern Great Lakes during Late Precontact (ca. AD 1200-1600). Analyzing National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, we identify differences in freeze/thaw cycles across inland lakes in Michigan, showing that some large inland lakes produce a microclimatic amelioration, possibly extending the growing season for prehistoric maize cultivation. Conducting geospatial analyses, we find that burial mounds and maize cultivation practices were associated preferentially with larger inland lakes with microclimates. We could not have found these dynamic interrelationships between microclimates, burial mounds, and maize cultivation if not for both the frequent temporal imaging and large spatial coverage provided by moderate resolution remote sensing imagery.

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