This dataset represent the Ice Flow Indicator compilation for the province of Saskatchewan.This dataset represents glacial ice flow indicators compiled from recent and historical bedrock and surficial geology maps and digital datasets. The data was created as file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

Snow and ice are important hydrological resources. Their minimum spatial extent here referred to as annual minimum snow/ice (MSI) cover, plays a very important role as an indicator of long-term changes and baseline capacity for surface water storage. The MSI probability is derived from sequence of seventeen 10-day clear-sky composites corresponding to April, 1 to September, 20 warm period for each year since 2000. Data from Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra satellite for the period since 2000 have been processed with the special technology developed at the Canada Centre for Remote Sensing (CCRS) as described in Trishchenko, 2016; Trishchenko et al., 2016; 2009, 2006, Trishchenko and Ungureanu, 2021, Khlopenkov and Trishchenko, 2008, Luo et al., 2008. The presence of snow or ice is determined for each pixel of the image based on snow/ice scene identification procedure and the probability if computed for the entire warm season as a ratio of number of snow/ice flags to the total number of pixels available (less or equal to 17). The minimum snow and ice extent can be derived from the probability map by applying a certain threshold. New data version V5.0 replaces previous version V4.0 for all data available since 2000. All MSI files were reprocessed for all MODIS input data based on collection 6.1. The output format has not changed since previous version. It is described in Trishchenko (2024). The impact of input data change is small and can be detected only for time interval 2000-2015. Data starting 2016 has been already derived using MODIS collection 6.1 input.The differences between the MSI data based on MODIS Collection 5 (i.e. MSI V4) versus MODIS Collection 6.1 (i.e. MSI V5), on average, are quite small. The region-wide relative difference in the MSI extent varies from -3.97% to +1.75%. The mean value is -0.14%, the median value is 0.18% and standard deviation is 1.83%. As such, we do not expect any sizeable impact of the version change on our previous conclusions regarding trends and climate variations, except for refining the relative values of statistical parameters within the range of a few percents. References:TRISHCHENKO, A.P., 2024: Probability maps of the annual minimum snow and ice (MSI) presence over April,1 to September, 20 period since 2000 derived from MODIS 250m imagery over Canada and neighbouring regions. Data format description. CCRS, NRCan. 4pp.

River ice roughness products from the last three days in selected Canadian regions that have been designated for observation, monitored by Natural Resources Canada using satellite imagery for emergency response. Coverage is not comprehensive nationwide. In order to mitigate ice jam induced flood risks, Natural Resources Canada emergency geomatics service (EGS) may be activated by Canada’s emergency management authorities. As new satellite imagery becomes available, NRCan will produce river ice roughness maps and update the dataset in near real time (4 hours). This item contains the latest river ice roughness products generated in the past three days. For any data older than 72 hours, please refer to the [River Ice in Canada - Current Year](https://open.canada.ca/data/en/dataset/8ca6f047-ddef-43d7-81c2-47654f4c69bd) entry. The river ice product is generated and validated on a best effort basis. Various factors may affect the quality of the river ice roughness maps. Those factors include but are not limited to: environmental condition at the time of acquisition, image resolution or the limitations of the methodology used. To view a specific product in Web Services, filter the data by date (UTC Date) and area of interest (AOI). A link to download specific EGS products is available in the Resources section.Disclaimer:Emergency response authorities are the primary users of these satellite-derived river ice roughness map products. These products are generated to provide analysis and emergency response situational awareness and to facilitate decision-making during major flood events. The river ice roughness products are generated rapidly and limited time is available for editing and validation. The river ice roughness products reflect the river ice surface roughness conditions at the date/time of acquisition. While efforts are made to produce high quality products, near-real time products may contain errors due to the limited time available for validation and the limited availability of ground truthing data. Limitation of Liability:Accordingly, the information contained on this website is provided on an “as is” basis and Natural Resources Canada makes no representations or warranties respecting the information, either expressed or implied, arising by law or otherwise, including but not limited to, effectiveness, completeness, accuracy or fitness for a particular purpose. Natural Resources Canada does not assume any liability in respect of any damage or loss based on the use of this website. In no event shall Natural Resources Canada be liable in any way for any direct, indirect, special, incidental, consequential, or other damages based on any use of this website or any other website to which this site is linked, including, without limitation, any lost profits or revenue or business interruption.Parent Collection:- **[River Ice State in Canada - Cartographic Product Collection](https://open.canada.ca/data/en/dataset/d1fcb44f-5f86-4957-bdb4-e6fd1aa69283)**

This dataset shows length weighted connectivity values summarized by hydrologic unit code (HUC) for a provincial stream connectivity indicator that assesses connectivity for aquatic organisms in stream networks. The stream connectivity indicator supports evaluation and reporting on indicator condition over time and provides information to support management of watercourse crossings. The stream connectivity indicator produces an estimate of the average connectivity in a stream network, considering the movement requirements of local species and the locations of watercourse crossings. The indicator is calculated and summarized using hydrologic unit codes (HUCs). Indicator values are calculated at a HUC 6 scale, and summarized for HUC 8 watersheds at eight timesteps: 2010, 2014, 2016, 2018, 2019, 2020, 2021, and 2022.

Icefields captured at 1:1,000,000 scale from Digital Chart of the World data for the Yukon and surrounding area.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

The nature and extent of past glaciations are depicted on the glacial limits map of Yukon (1:1,000,000 scale). This compilation depicts the maximum extent of each glaciation and the general direction of ice movement, including the provenance of flows. This map also includes marginal notes on mapping criteria, as well as a list of references.

This dataset compiles information and photographs collected at 49 observation stations during a field campaign conducted from July 31 to August 11, 2025, in the central part of the Kivalliq region. It includes the locations of sites where ice-flow indicators were measured, along with their relative chronology where it could be determined in the field.It also includes the locations of till sampling sites collected for geochemical and indicator mineral analyses, as well as sites where boulders and bedrock surfaces were sampled for terrestrial cosmogenic isotope dating.Analytical results and interpretations will be presented in subsequent publications.

Acoustic telemetry allows detailed observations of the movement behaviour of many species and as tags get smaller, smaller organisms may be tagged. The number of studies using acoustic telemetry to evaluate marine invertebrate movement is growing, but novel attachment methods include unknowns about the effects of tagging procedures on individual survival and behaviour. This study compared methods of tag attachment on green sea urchins (Strongylocentrotus droebachiensis) to determine the feasibility of using acoustic transmitters to track echinoid movement. Four tagging methods were compared in the lab and tag retention, urchin condition, and survival analysed. Two tagging methods (Dyneema® fishing line and T-bar tags) were evaluated in the field using an existing acoustic telemetry array. Urchins were tagged and the study area revisited one week and 2 months post-release by scuba divers to estimate movement and tag retention. The best methods in the lab, with high tag retention, survival, and minimal effects on urchin condition, were fishing line methods. T-bar tags, although showing high tag retention, caused significant mortality and had deleterious long-term effects on urchin condition and behaviour. After 2 months in the field, as in the lab, fishing line was a more effective tagging method. Urchins tagged with fishing line showed increased estimates of space occupancy compared to T-bar-tagged urchins and a single fishing-line tagged individual was found by divers in good health after 80 days. Combined, these laboratory and field results demonstrate the feasibility of using acoustic telemetry to observe urchin movement. Results strongly suggest that surgical attachment methods that minimize injuries at the attachment site should be prioritized for echinoid tagging studies. Together, lab and field tests indicate that acoustic telemetry is a promising method to examine marine echinoid movement over ecologically relevant spatial and temporal scales.The data available includes the laboratory data (tag retention, survival, diameter, wet weight, gonad weight and condition/righting time) and the field data (metadata and acoustic telemetry detections for tagged individuals, results of diver searches and 2-day estimates of movement measured in the field). Data from the laboratory experiment and diver observations in the field have been verified and undergone a control for quality. Acoustic telemetry detections are raw detection files (unfiltered); see the published article for a description of how the data were treated for analyses (https://doi.org/10.1186/s40317-022-00309-8).

This GIS dataset comprises the linear landform features depicted on AGS Map 213, 'Quaternary Geology, Central Alberta'. These features include eskers, meltwater channels, moraines as well as features either parrallel to or transverse to ice movement direction (small ridges, elongated hummocks and depressions, flutes and drumlins).

Applications for spatial areas occurring on Crown land in which oil and gas activities will take place. Construction corridors allow for flexibility in the movement, placement and construction of oil and gas activity. This dataset is updated nightly.