Planting activities reported on openings into RESULTS. More than one planting activitiy may occur within an opening. Planting activiites may also overlap. Planting attribute reporting is mandatory requirement while planting maps are optional. Planting reports includes species and seedlot information. This is a part of Silviculture and Land Status dataset, which includes tracking achievement of silviculture obligations on Crown land

This file outlines the boundaries of Manitoba Agriculture's crop reporting regions./This file describes the boundaries of Manitoba Agriculture's crop report regions.This file outlines the boundaries of the five crop reporting regions as specified in Manitoba Agriculture's Crop Report.The Manitoba Agriculture Crop Report provides information on progress of seeding and crop establishment, crop development, any pest activity including weeds, insects and disease, crop activity including weeds, insects and disease, harvest progress, insects and disease, harvest progress, insects and disease, harvest progress, crop yields and grades, fall field work progress, and status of winter cereal crop seeding and establishment. In addition, it provides information on haying progress and estimated yields, as well as pasture conditions.This file describes the boundaries of the five crop report regions as specified in the Agriculture Manitoba crop report.The Manitoba Agriculture crop report provides information on progress in planting and establishing crops, as well as crop establishment, vegetative development, pest activities including weeds, insects, and diseases, harvest progress, yields and crop rankings, progress on field work in the fall, and the status of planting and establishing winter cereal crops. In addition, it provides information on the haymaking process and estimated yields, as well as on pasture conditions.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

2 Billion Trees ProgramForests and trees sustain life on Earth. Beyond the jobs that our sustainably managed forests provide, people living in Canada rely on forests for a wealth of benefits. Healthy forest ecosystems sustain thousands of living organisms, supply us with food, provide shelter and shade on a sunny day, clean the air we breathe and the water we drink, and hold spiritual significance for many, particularly within Indigenous cultures.The following 10 tree planting projects (out of 72 projects funded by the 2 Billion Trees program in 2021) are being showcased to highlight the diversity of projects funded across Canada. From the application of traditional ecological knowledge, habitat restoration, increasing tree biodiversity in urban centres, or engaging local residents in an effort to educate people on the importance of nature-based climate solutions, these projects demonstrate that planting trees brings a wealth of benefits for all Canadians, from coast to coast.

These are the specific silviculture activities that took place within an opening in order to meet silviculture obligations after a disturbance. These activities may have been conducted over the entire opening or just a portion of the opening, and multiple activities may overlap. This database is the most current information available, but will be updated as new information is added.ACTIVITY_CATEGORY - This is the broad category of activity, such as disturbance, site preparation, planting, or survey.ACTIVITY_NAME - This is the specific activity that occurred in the opening.ACTIVITY_AREA - This is the measured within the opening that the activity occurred on.ACTIVITY_STATUS - This is the status of the activity which is either planned, started, or completed.ACTIVITY_COMPLETED_DATE - This is the date that the activity was finished.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)

Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory. To date this approach can consistently deliver a crop inventory that meets the overall target accuracy of at least 85% at a final spatial resolution of 30m (56m in 2009 and 2010).

In 2012, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada (except Newfoundland), in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (DMC, SPOT) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from our regional AAFC colleagues.

In 2009 the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop inventory digital maps using satellite imagery. Focusing on the Prairie Provinces, a Decision Tree (DT) based methodology was applied using both optical (AWiFS, Landsat-5) and radar (RADARSAT-2) based satellite imagery, and having a final spatial resolution of 56m. Methods were also developed to enhance the optical classification with RADARSAT-2 imagery, addressing issues associated with cloud cover. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from our regional AAFC colleagues. The overall process for Crop Inventory Map includes: satellite data acquisition; field data acquisition for classification training and accuracy assessment; and, operational implementation of the classification methodology.The initial methodology was developed in partnership with AAFC Research Branch, and supported in part by the Canadian Space Agency. The long-term objective of this endeavour is to expand from the Prairies and produce an annual crop inventory of the entire agricultural extent of Canada.

In 2020, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change; the Ontario Ministry of Agriculture, Food and Rural Affairs; and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Charlottetown, Fredericton, and Guelph. Due to COVID-19 travel restrictions, complete sampling coverages in NL, NS, NB and BC were not possible, as a result the general agriculture class (120) is found in these provinces in areas where there was no ground data collected.

In 2014, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from the BC Ministry of Agriculture and our regional AAFC colleagues.

In 2011, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) expanded the process of generating annual crop inventory digital maps using satellite imagery to include British Columbia, Ontario, Quebec, and the Maritime provinces, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-5, DMC) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from our regional AAFC colleagues.