This document discusses potential areas in Ukraine for environmental monitoring using remote sensing data. It presents several protected areas that could be monitored on a regular basis, including Polissya Nature Reserve, Ukrainian-Polish Biosphere Reserve, Podilski Tovtry National Park, Askania-Nova and Black Sea Biosphere Reserve in Kherson Oblast, and Carpathian Biosphere Reserve. Maps and images show coverage of the areas by RADARSAT-2 satellite imagery and how multiple sites could be monitored within each area. River basins including Dnieper, Pripyat, and coastal zones are also proposed for flood or oil spill emergency monitoring.
MODIS is an instrument aboard the Terra and Aqua satellites that images the entire Earth every 1-2 days using 36 spectral bands. It provides data to study global land, ocean, and atmospheric processes. MODIS data products include measurements of sea surface temperature, snow cover, sea ice, vegetation indices, ocean color, and more. The data is available freely from NASA and USGS websites and can be used with GIS software for applications like monitoring wildfires, agriculture, water quality, and air pollution.
The document discusses the EO (Earth Observation) community's vision for long term data preservation, including needs and plans. It outlines operational and political plans to establish long term funding and cooperation between agencies. Technological aspects and infrastructure needs are also addressed, such as adopting standard models, ensuring data access and interoperability, and developing shared infrastructure with other communities.
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATIONgrssieee
The document discusses the use of NASA satellite data in weather and environmental analysis by the Joint Center for Satellite Data Assimilation (JCSDA). The JCSDA is an interagency partnership that works to improve forecast models through better use of satellite observations. It assimilates many NASA sensors operationally, including MODIS, AIRS, and Jason altimetry, and is working to prepare other sensors like SMAP for assimilation testing. Highlights are presented on atmospheric, ocean, and land data assimilation using NASA data to improve analysis and forecasts.
SAR (Synthetic Aperture Radar) remote sensing was used to detect and monitor potential oil spills in two test areas in the Mediterranean Sea. Over 200 SAR images were analyzed from satellites like ENVISAT and TerraSAR-X. SAR allowed for all-weather monitoring of large areas. Several oil spills were detected in the test sites. However, accurately distinguishing oil spills from look-alikes remains a challenge. Future coordinated use of SAR with aerial surveillance could improve operational oil spill detection capabilities.
This talk summarizes the use of imaging spectroscopy to map minerals in various environments, including Cuprite, Nevada, Mars, the Moon, and post-9/11 at the World Trade Center site. Imaging spectroscopy can identify minerals like kaolinite, olivine, and buddingtonite and map their distributions. It revealed fire locations and temperatures after 9/11. Advances in algorithms and sensors continue to improve mineral and material mapping abilities.
Remote Sensing And GIS Application In Mineral , Oil , Ground Water MappingMin...Swetha A
Remote sensing and GIS techniques can be used to map minerals, oil, and groundwater. For minerals, accommodation zones between faults can localize magmatic material and mineralized fluids, and be identified in satellite images showing brecciation and fault patterns. Oil and gas exploration uses airborne magnetic and gravity surveys integrated with high resolution satellite imagery and DEMs for 3D visualization. Groundwater mapping involves literature review, image interpretation to create spatial databases, field reconnaissance, spatial analysis of data, and identifying recommended recharge structures by analyzing IRS satellite images, groundwater table maps, DEM elevation data, and resistivity curve modeling from electrical soundings.
MODIS is an instrument aboard the Terra and Aqua satellites that images the entire Earth every 1-2 days using 36 spectral bands. It provides data to study global land, ocean, and atmospheric processes. MODIS data products include measurements of sea surface temperature, snow cover, sea ice, vegetation indices, ocean color, and more. The data is available freely from NASA and USGS websites and can be used with GIS software for applications like monitoring wildfires, agriculture, water quality, and air pollution.
The document discusses the EO (Earth Observation) community's vision for long term data preservation, including needs and plans. It outlines operational and political plans to establish long term funding and cooperation between agencies. Technological aspects and infrastructure needs are also addressed, such as adopting standard models, ensuring data access and interoperability, and developing shared infrastructure with other communities.
WE1.L10 - USE OF NASA DATA IN THE JOINT CENTER FOR SATELLITE DATA ASSIMILATIONgrssieee
The document discusses the use of NASA satellite data in weather and environmental analysis by the Joint Center for Satellite Data Assimilation (JCSDA). The JCSDA is an interagency partnership that works to improve forecast models through better use of satellite observations. It assimilates many NASA sensors operationally, including MODIS, AIRS, and Jason altimetry, and is working to prepare other sensors like SMAP for assimilation testing. Highlights are presented on atmospheric, ocean, and land data assimilation using NASA data to improve analysis and forecasts.
SAR (Synthetic Aperture Radar) remote sensing was used to detect and monitor potential oil spills in two test areas in the Mediterranean Sea. Over 200 SAR images were analyzed from satellites like ENVISAT and TerraSAR-X. SAR allowed for all-weather monitoring of large areas. Several oil spills were detected in the test sites. However, accurately distinguishing oil spills from look-alikes remains a challenge. Future coordinated use of SAR with aerial surveillance could improve operational oil spill detection capabilities.
This talk summarizes the use of imaging spectroscopy to map minerals in various environments, including Cuprite, Nevada, Mars, the Moon, and post-9/11 at the World Trade Center site. Imaging spectroscopy can identify minerals like kaolinite, olivine, and buddingtonite and map their distributions. It revealed fire locations and temperatures after 9/11. Advances in algorithms and sensors continue to improve mineral and material mapping abilities.
Remote Sensing And GIS Application In Mineral , Oil , Ground Water MappingMin...Swetha A
Remote sensing and GIS techniques can be used to map minerals, oil, and groundwater. For minerals, accommodation zones between faults can localize magmatic material and mineralized fluids, and be identified in satellite images showing brecciation and fault patterns. Oil and gas exploration uses airborne magnetic and gravity surveys integrated with high resolution satellite imagery and DEMs for 3D visualization. Groundwater mapping involves literature review, image interpretation to create spatial databases, field reconnaissance, spatial analysis of data, and identifying recommended recharge structures by analyzing IRS satellite images, groundwater table maps, DEM elevation data, and resistivity curve modeling from electrical soundings.
7. Global Forest Watch & Monitoring Forests Using Remote SensingENPI FLEG
Global Forest Watch uses remote sensing to monitor forests globally in 3 ways:
1. It provides up-to-date satellite imagery as a communication tool to visualize deforestation for stakeholders.
2. Independent satellite data lifts the "curtain" by not requiring permission and being unable to be manipulated, allowing unfiltered monitoring.
3. Frequent, high-resolution updates allow near-real-time and historical time-series monitoring of forest change at local to global scales.
Sentinel-3 Future Products Overview - EUMETCast User Forum 2014EUMETSAT
The document discusses future satellite services from the Copernicus Sentinel-3 mission. Sentinel-3 will carry several instruments to measure sea and land surface temperature, sea surface topography, ocean and land color, and more. It will generate various data products at different processing levels with different spatial resolutions, swath widths, and timeliness from near-real time to non-time critical. The products will be disseminated through EUMETCast and an online archive and will be made gradually available to Copernicus services and scientific users during the commissioning and ramp-up phase after the launch of Sentinel-3A.
This presentation was given at the EPA’s National Water Event 2019, which took place on 29 and 30 May 2019 in Galway. This presentation by Gary Free from the EPA is on measuring the environment from space using satellite images.
Polar Use Case - ExtremeEarth Open WorkshopExtremeEarth
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Use of satellite imagery for the generation of an aquaculture atlas : a case ...Blue BRIDGE
The document describes a project to design an Aquaculture Atlas Production System (AAPS) that takes satellite imagery as input and generates products about aquaculture for users. It will implement a prototype for areas in Greece and Indonesia. The system will use tools to automatically detect aquaculture features like fish cages in images and map them. It will make the outputs like location maps and statistics available to users through a virtual research environment by the end of 2016 to support aquaculture monitoring, analysis and planning.
How Earth observation can support monitoring wetlands and peatlandsCIFOR-ICRAF
Presented by Frank Martin Seifert of the European Space Agency at the Bonn Climate Change Conference on 11 May 2017, at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
Presentation by Tony Kimmet from the USDA Natural Resource Conservation Service (NRCS); review and update of orthoimagery resources available for Hawaii and the Pacific
TU3.L09 - SPACEBORNE FULLY POLARIMETRIC TIME-SERIES DATASETS FOR LAND COVER A...grssieee
The document summarizes a project using spaceborne fully polarimetric time-series datasets from Radarsat-2 and ALOS for land cover analysis and monitoring of wetlands. The objectives were to delineate wetlands and map vegetation, identify agricultural practices, and determine water cycles and levels. Ground truth campaigns were conducted including soil moisture and roughness measurements. Initial qualitative analysis of the Radarsat-2 data showed polarimetric descriptors and classifications could distinguish flooded areas with 78-94% accuracy. Optical data from ALOS provided complementary information and 88-99% classification accuracy. Further inversion of parameters like soil moisture from time-series datasets and data fusion of radar and optical data was outlined.
The RADARSAT Constellation Mission (RCM) will consist of three satellites providing daily medium-resolution SAR imagery to support operational needs in Canada and internationally. The mission aims to provide continuity of C-band SAR data, improved coverage over wide areas, and a responsive ground segment. The RCM will enhance Canada's ability to manage resources, the environment, and security. Its core use areas will be maritime surveillance, disaster management, and ecosystem monitoring through applications like ice monitoring, ship detection, agriculture monitoring, and more.
Remote sensing uses sensors on satellites and aircraft to measure electromagnetic radiation from the Earth's surface. This data can be used to support fisheries and aquaculture management by providing information on sea surface temperature, ocean color, ocean salinity, land cover, and the location of coastal aquaculture structures over large geographic areas. A case study demonstrated how satellite images could map fish ponds and cages in a coastal region of the Philippines. Remote sensing will continue playing an important role in monitoring fisheries and aquaculture by providing global and repeated observations in a cost-effective manner.
Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...IRJET Journal
This document summarizes a study that uses remote sensing to assess sedimentation in the Ujjani Reservoir in Maharashtra, India. Landsat satellite imagery from 2001-2002 was analyzed using NDWI to identify water pixels and calculate changing water spread areas over time. This allowed the researchers to generate a revised capacity-elevation curve and estimate total sedimentation in the reservoir over 34 years was about 207.822 cubic meters, at a rate of 6.65 hectare-meters per 100 square kilometers per year. Remote sensing provided a more efficient approach than traditional surveys to periodically evaluate sedimentation and inform management of the reservoir's longevity.
TH3.L09 - RADARSAT-2 DATA UTILIZATIONS AND APPLICATIONSgrssieee
The document summarizes RADARSAT-2 data utilization and applications from 2008 to 2010. It describes how RADARSAT-2 data volume increased each fiscal year and how the data is used by over 200 government departments and research projects. It provides examples of RADARSAT-2 applications in areas like maritime monitoring, oceanography, hydrology, geology, agriculture, forestry, mapping, and disaster management. RADARSAT-2 is also used for calibration and to support missions like monitoring Arctic sea ice and Antarctic mapping.
The document discusses using computer vision for analyzing underwater and remote sensing data. It describes using deep learning models to automatically detect and classify objects in sonar imagery to map the seafloor and detect anomalies. Satellite and aerial imagery can be used to monitor ice conditions, detect litter, and aid shipping. Seismic data analysis can identify horizons, layers, faults and other geological features. Computer vision shows potential for automated analysis that reduces time and improves accuracy compared to manual analysis. Examples demonstrate detecting polygons on Mars that may indicate past water activity.
The use of geoinformatics in mineral exploration and exploitationMarguerite Walsh
The document discusses the use of geoinformatics, including remote sensing techniques, in mineral exploration and exploitation. It provides several case studies demonstrating how different remote sensing data and techniques can be used to map surface geology and identify potential mineral deposits. These include using Landsat and ASTER satellite imagery to map surficial mineralogy across large areas, detect hydrothermal alteration zones indicating gold mineralization, and identify geothermal anomalies. Integrating remote sensing data with other spatial datasets in a GIS provides additional insights. Future opportunities discussed include the increasing use of unmanned aerial vehicles and the upcoming Sentinel-2 satellite mission.
This document summarizes the use of remote sensing products for local water supply and use applications. It discusses how remote sensing can provide greater spatial and temporal coverage compared to traditional methods. Case studies are presented on using remote sensing to monitor urban irrigation, estimate snowpack, and calculate crop consumptive use through evapotranspiration modeling. Remote sensing allows coverage of large areas with periodic monitoring and provides data to inform water management decisions.
This document summarizes the use of remote sensing techniques to monitor local water supply and use. It provides an overview of traditional monitoring methods and their limitations. Remote sensing allows for broader spatial and temporal coverage at a lower cost. Case studies are presented on using remote sensing to monitor urban irrigation, snowpack, and crop water use. Specific techniques discussed include using satellite imagery to map irrigated areas, generating snow water equivalent traces from SNODAS data, and estimating evapotranspiration using the METRIC model.
Free and open source software for remote sensing and GISNopphawanTamkuan
This document provides information on various free geospatial data sources and products available online. It summarizes datasets including aerial imagery, digital elevation models, Landsat, MODIS, Sentinel satellite imagery and products, OpenStreetMap, and other vector and raster data that can be used for applications such as agriculture, climate monitoring, disaster management and more. Many of the datasets are hosted by government agencies and scientific organizations looking to make Earth observation data openly available.
SC7 Workshop 2: Space Data for Secure SocietiesBigData_Europe
The document provides information about the Copernicus program, which is the European Union's Earth observation program. It summarizes the six Copernicus services that use Earth observation data to deliver information. It then describes some of the Copernicus satellites, including Sentinel-1, Sentinel-2, and Sentinel-3, and discusses how Sentinel data is accessed. Finally, it addresses some of the challenges around big data and moving towards the Copernicus Data and Information Access Service (DIAS) to improve access to Copernicus data and information.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
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7. Global Forest Watch & Monitoring Forests Using Remote SensingENPI FLEG
Global Forest Watch uses remote sensing to monitor forests globally in 3 ways:
1. It provides up-to-date satellite imagery as a communication tool to visualize deforestation for stakeholders.
2. Independent satellite data lifts the "curtain" by not requiring permission and being unable to be manipulated, allowing unfiltered monitoring.
3. Frequent, high-resolution updates allow near-real-time and historical time-series monitoring of forest change at local to global scales.
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This presentation was given at the EPA’s National Water Event 2019, which took place on 29 and 30 May 2019 in Galway. This presentation by Gary Free from the EPA is on measuring the environment from space using satellite images.
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Use of satellite imagery for the generation of an aquaculture atlas : a case ...Blue BRIDGE
The document describes a project to design an Aquaculture Atlas Production System (AAPS) that takes satellite imagery as input and generates products about aquaculture for users. It will implement a prototype for areas in Greece and Indonesia. The system will use tools to automatically detect aquaculture features like fish cages in images and map them. It will make the outputs like location maps and statistics available to users through a virtual research environment by the end of 2016 to support aquaculture monitoring, analysis and planning.
How Earth observation can support monitoring wetlands and peatlandsCIFOR-ICRAF
Presented by Frank Martin Seifert of the European Space Agency at the Bonn Climate Change Conference on 11 May 2017, at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
Presentation by Tony Kimmet from the USDA Natural Resource Conservation Service (NRCS); review and update of orthoimagery resources available for Hawaii and the Pacific
TU3.L09 - SPACEBORNE FULLY POLARIMETRIC TIME-SERIES DATASETS FOR LAND COVER A...grssieee
The document summarizes a project using spaceborne fully polarimetric time-series datasets from Radarsat-2 and ALOS for land cover analysis and monitoring of wetlands. The objectives were to delineate wetlands and map vegetation, identify agricultural practices, and determine water cycles and levels. Ground truth campaigns were conducted including soil moisture and roughness measurements. Initial qualitative analysis of the Radarsat-2 data showed polarimetric descriptors and classifications could distinguish flooded areas with 78-94% accuracy. Optical data from ALOS provided complementary information and 88-99% classification accuracy. Further inversion of parameters like soil moisture from time-series datasets and data fusion of radar and optical data was outlined.
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Remote sensing uses sensors on satellites and aircraft to measure electromagnetic radiation from the Earth's surface. This data can be used to support fisheries and aquaculture management by providing information on sea surface temperature, ocean color, ocean salinity, land cover, and the location of coastal aquaculture structures over large geographic areas. A case study demonstrated how satellite images could map fish ponds and cages in a coastal region of the Philippines. Remote sensing will continue playing an important role in monitoring fisheries and aquaculture by providing global and repeated observations in a cost-effective manner.
Sediment Assessment of UJJANI Reservoir in Maharashtra by using Remote Sensin...IRJET Journal
This document summarizes a study that uses remote sensing to assess sedimentation in the Ujjani Reservoir in Maharashtra, India. Landsat satellite imagery from 2001-2002 was analyzed using NDWI to identify water pixels and calculate changing water spread areas over time. This allowed the researchers to generate a revised capacity-elevation curve and estimate total sedimentation in the reservoir over 34 years was about 207.822 cubic meters, at a rate of 6.65 hectare-meters per 100 square kilometers per year. Remote sensing provided a more efficient approach than traditional surveys to periodically evaluate sedimentation and inform management of the reservoir's longevity.
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This document summarizes the use of remote sensing products for local water supply and use applications. It discusses how remote sensing can provide greater spatial and temporal coverage compared to traditional methods. Case studies are presented on using remote sensing to monitor urban irrigation, estimate snowpack, and calculate crop consumptive use through evapotranspiration modeling. Remote sensing allows coverage of large areas with periodic monitoring and provides data to inform water management decisions.
This document summarizes the use of remote sensing techniques to monitor local water supply and use. It provides an overview of traditional monitoring methods and their limitations. Remote sensing allows for broader spatial and temporal coverage at a lower cost. Case studies are presented on using remote sensing to monitor urban irrigation, snowpack, and crop water use. Specific techniques discussed include using satellite imagery to map irrigated areas, generating snow water equivalent traces from SNODAS data, and estimating evapotranspiration using the METRIC model.
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The document provides information about the Copernicus program, which is the European Union's Earth observation program. It summarizes the six Copernicus services that use Earth observation data to deliver information. It then describes some of the Copernicus satellites, including Sentinel-1, Sentinel-2, and Sentinel-3, and discusses how Sentinel data is accessed. Finally, it addresses some of the challenges around big data and moving towards the Copernicus Data and Information Access Service (DIAS) to improve access to Copernicus data and information.
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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2. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Збір даних щодо природно-заповідних територій
або річкових басейнів
Площа у 60,000 кв. км– станом на 29 грудня 2012 року
3. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Збір даних щодо природно-заповідних територій
або річкових басейнів
Solution
• Multilook Fine Wide coverage being collected
(see graphic)
• Selection of images based on clients definitions
of area
• Orthocorrect using SRTM DEM, mosaic and tile
into 1X1 degree map sheets
Area
• Potential options:
– River basins prone to flooding for Emergency
monitoring packages
– Large remote areas where yearly monitoring
would be on interest
– All major biosphere areas – with emphasis on the
ones which will be part of operational monitoring
sites.
Deliverable:
• Orthocorrected /mosaiced and provided in one
degree tiles RADARSAT-2 data
• Format Geotiff
.
4. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Зона покриття басейну річок Прип’яті та Дніпра
• River Basin coverage is
approximately 60,000
sq km
• Graphic illustrates the
coverage in archive
• Date of coverage –
October to November
2012.
• This coverage can also
be used for change
detection in an
Emergency Monitoring
package.
5. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Пункт 1.4
Аналіз особливих районів
14 “ділянок” або аналіз особливих районів
Три типи пакетів послуг
Цифрова модель площі водозбору (дренажна система/стічні води)
Моніторинг виявлення змін
Швидке виявлення надзвичайних ситуацій
6. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Моніторинг надзвичайних ситуацій:
4 спеціальні об’єкти
4 Special Areas
Requirement 8 2a: Total number of cycles monitoring using
remote sensing data for the territory that belongs to the
zone of interest Ministry - at least 14 of them - at least 4
objects emergency monitoring (period of 5 to 15 days) at
the request of the Minister. Each monitoring should
include both retrospective remote sensing materials on
the object, and one, at least, cover the new satellite
surveying these objects by the Ministry in 2012.
Solution:
• Size of area – assumption 1 MF
• Base image will be the MFW collection from 2012
• Includes Emergency Tasking and Rush Processing
• Includes either a Change detection product, a
standard Flood product or an Oil Report,
• Can include more than one “imaging” of the area
during a single emergency (assume 3 images)
Deliverable:
• Change detection or single image Geotiff
• Shape file of change or event boundary
• Reports (within 5 to 15 days from request)
Potential locations: For December deliverable?
7. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Надзвичайний стан потенційних об’єктів
моніторингу
Місяця можливих повеней:
• Дніпро/ басейн річки
• Басейн річки Прип’ять
• Моніторинг прибережних зон: розливи нафти
8. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Площа водозбору річки, цифрова модель
(DEM)
2 Special Areas
Requirement:
8 1.1g) providing new radar imagery for monitoring of the test
areas of the river drainage basin, as determined by the
Client, with resolution no more than 5m. Providing the
Client with new satellite imagery (definition no more
than 5m) for monitoring and analyses of the test area of
the river drainage basin, as well as proving methodology
of image
AReas:
• 1 or 2 areas of a combined size of 5000 sq
km to be defined
Отримані результати:
- цифрова модель (DEM),
- ортотрансформований
радіолокаційний знімок (ORRI) та
- гідрографічна карта
Формат запису DEM– GeoTiff
Формат запису ORRI – GeoTiff
Формат гідрографічної карти – векторний
шейп-файл з відповідними характеристиками
ORRI
Гідрографічна мережа
9. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Приклад застосування цифрової моделі (DEM)
Об’єкт: Карпатський біосферний заповідник
Практичне застосування цифрової моделі
11. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Можливий об’єкт для моніторингу:
Поліський природний заповідник (Житомирська область)
• Red Box represents current acquisitions
over area
• Multiple monitoring sites could be used to
cover the forested areas.
12. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Можливий об’єкт для моніторингу:
Українсько-Польський біосферний заповідник
• Ukrainian-Polish biosphere reserve is
being established at Roztochchya.
The Ukrainian part of the reserve will
include Yavoriv national park,
Roztochchya natural reserve, and two
newly founded regional landscape
parks.
• Red box represents one 50 km X80
km swath of R-2 Multilook Fine Wide
data.
• This could be monitored as part of
the biosphere reserve area.
13. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Можливий об’єкт для моніторингу:
Національний парк “Подільські Товтри”
• Total area – 261,316 ha. Year founded
– 1996.
• The territory of the national park
belongs to the Western Podolye
highland district of the West-
Ukrainian forest-steppe province of
the forest-steppe zone. The park is
notable for unique landscapes of the
Tovtry mountain-ridge. The ridge is
the remainder of the Tortonian
barrier reef and has no analogues in
Eastern Europe. Besides the Tovtry
ridge, visitors pay special attention to
the Dnestr canyons, numerous karst
deposits and caves (including the
well-known Atlantida Cave), unique
bassets of Silurian layers, and lakes
• Full area (in orange) – would be comprised of 2
special areas for monitoring
• Note that illustration is RADARSAT-2 data in the
archive – if this became a monitoring area, the
collection would be shifted to better cover the
full park in 2 Scenes
14. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Можливий об’єкт для моніторингу: Херсонська область:
Асканія-Нова, Чорноморський біосферний заповідник
Azov-Sivash national park
• The territory of the national park belongs to the Sivash-
Azov low-lying lands of the Black Sea and the Azov dry-
steppe province, and the Sivash-Crimea low-lying lands
of Crimean steppe province, which constitutes part of
the dry-steppe sub-zone of Ukraine’s steppe zone.
• Coastal regions of the Black Sea and the Sea of Azov, and
especially Sivash that has numerous islands and
peninsulas, serve as a place of mass bird nesting and
stopping point for birds during their periods of spring
and autumn migrations. The Green Book of Ukraine
includes seven local steppe associations. The Red Book
of Ukraine lists four species of local mammals, thirty
species of birds, four species of reptiles, two species of
fish, two species of mollusks, five species of insects, one
species of cancroids, and one species of local hydroid
polyps. The European Red List registered two species of
local birds
• The Black Sea natural reserve was established in 1927
and currently is maintained by the National Academy of
Sciences of Ukraine. In 1985, UNESCO provided it with
the status of biosphere reserve. In 1998, the reserve’s
territory was increased by 13,461 ha.
• As to its physical and geographic location, the territory
of the reserve forms a part of the Black Sea and the Azov
southern-steppe district of the southern-steppe sub-
zone of the steppe zone.
• RED Box represents the size on one
operational monitoring zone at 5m
resolution monitoring. Multiple sites
could be used to monitor the entire
significant coastal area
15. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Можливий об’єкт для моніторингу:
Карпатський біосферний заповідник
• Zakarpatye region, Rakhov, Tyachev, Khust, and
Vinogradov districts. Total area – 57,880 ha.
• In 1992, UNESCO issued a special certificate to include
the Carpathian reserve in the global network of
biosphere reserves. In 1998, the Council of Europe
awarded the reserve the European Diploma.
• According to physical and geographic zoning, the
territory of the reserve forms a part of Carpathian-
Ukrainian mountain-and-forest district of the Carpathian
mountain landscape region. Vegetation on the natural
reserve generally represents the European broadleaf-
forest district of the Central European province that
constitutes a part of the East-Carpathian mountain sub-
province.
• The Carpathian biological reserve includes 14 local
formations, one sub-formation, and two association
groups that embrace 21 forest associations, two bush
associations, 13 meadow associations, two swamp and
one steppe associations from the Green Book of
Ukraine. From the Red Book of Ukraine, it has 92 species
of local flora and microbiota, and 76 species of local
fauna. From the European Red List, the property
contains five species of local flora and 23 species of local
fauna while the species list compiled in accordance with
the Bern Convention includes 181 species of local fauna
• RED BOX in graphic below represents one monitoring
site area
• Green represents the Reserve (estimated extent only)
• Suggested that this is also used as a DEM package area
16. Use, duplication or disclosure of this document or any of the information contained herein
is subject to the restrictions on the title page of this document.
Аналіз спеціальних територій
станом на грудень 2012.
• Отримані результати станом на 29
грудня 2012 р. (перекладено
українською мовою)
• Включають:
– Одне зображення RADARSAT-2
формату geotiff території, обраної
для моніторингу
– Створення шаблонів для типів
аналізу спеціальних територій:
Тип аналізу знищення/заготівлі лісу та ін.);
основні зміни землекористування (будів-
ництво на сільськогосподарських землях/
паркових зонах); добування корисних ко-
палин; надзвичайні ситуації…)
Отримання плану кращого охоплення даних змін
(якщо території не визначені, зас-
тосовується теоретичний план)
Моніторинговий підхід
Опис результатів
Приклад отриманого результату (можливо, інше
географічне розташування)