__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. **Change in forest cover detected by satellite imagery** is a provincial polygonal vector database produced using automated analysis of Sentinel-2 satellite imagery. This analysis aims to detect changes in forest cover throughout southern Quebec. The database includes disturbances of anthropogenic or natural origin, identified from images acquired during the summer period and analyzed at a resolution of 10 m × 10 m. It only contains detectable disturbances for which **no official information** was available at the time of the analysis. To determine if a disturbance is already known, the analysis compares the detected changes to the following official databases: + Harvesting and other silvicultural interventions + Forest fires + Epidemic, wind and ice storm + Forest infrastructures Polygons remain in the product as long as no official source confirms the nature or origin of the disturbance. As soon as official information becomes available, the element is removed from the diaper during the next release of the product. The analysis of the detected change is carried out once a year, during the months of October and November, using Sentinel-2 satellite imagery captured between June and September.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The **portrait of forest cover in Québec** is an assembly made from the up-to-date ecoforest map of the inventory of southern Quebec and vegetation maps from the northern ecoforest inventory and Northern Quebec. Administrative divisions, forest boundaries and territories where forest management responsibilities and obligations are under the responsibility of the municipal environment are also added. Then, an update is carried out for areas that have a predominant use other than forest, including the road and rail network, energy transmission lines, cultivated land and built environments. The portrait makes it easy to calculate the rate of land use by forests in the territory of a municipality, an unorganized territory, an indigenous territory, an MRC or an administrative region, then to draw up a summary of some main characteristics of the forest. Annually, the portrait is reproduced with the most recent version of the data sources and then published on the Data Québec portal in December.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. **The forest maps in the second inventory** are available at a scale of 1/20,000. They cover almost all of the territory south of the 52nd parallel. Each file covers an area of approximately 250 km2. These digital cards correspond to the black and white paper cards with a dimension of 125 cm X 75 cm that have been scanned. They illustrate forest stands. They were prepared from the photo-interpretation of aerial photos on a scale of 1/15,000. Main components: * outline of forest stands; * sub-groupings of species in all stands; * type of vegetation (forest species, density, height and stage of development, origin); * age class; * disturbances; * nature of the land (peatlands, gravel, etc.); * territorial subdivisions; * hydrography; * transport network and bridges; * topography (level curves); * slope classes; * defoliation class.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. **Slope classes** express the slope of the terrain in a relatively homogeneous area with a minimum area of 0.5 ha. They are generated from a numerical model that groups terrain slopes into six classes: + 0-3% zero + Low by 4-8% + 9-15% soft + Moderate by 16-30% + 31-40% strong + Steep by 41% or more These data cover almost all of Quebec south of the 52nd parallel. This map is presented in two groups: grouping at the provincial level and grouping at the scale of 1/250,000. Each grouping represents an assembly of sheets produced on a scale of 1/20,000. The datasets were originally produced in 2005 and then updated in 2006. In 2010, they were enhanced with slope information for the northernmost part. No updates have been made since then. __For more information, please refer to the document: [Products presenting the concept of slope] (https://diffusion.mffp.gouv.qc.ca/Diffusion/DonneeGratuite/Foret/DONNEES_FOR_ECO_SUD/Classes_pente/01-Documentation/Produits_presentant_la_notion_de_pente.pdf) __ __ ⚠️ Notes: __ The numerical terrain model is prepared from the level curves and altitude points that come from the topographic map at a scale of 1/20,000 and 1/50,000 from the Quebec Topographic Database (BDTQ). This geographic database was produced in 2010 and has never been updated. __ 🕰️ Former names:__ Numerical slope classes, Slope class **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This data set contains the polygons delimiting the woods of the agglomeration of Montreal. The boundaries of the woods and their composition are the result of an analysis of aerial photos and/or of field visits and/or of particular ecological studies. These are constantly updated in accordance with the advancement of knowledge in the community. Some plant communities and their limits may therefore be imprecise.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The original ecoforest map of the third inventory is made from aerial photographs as well as several other products to inform the photointerpreter (forest interventions, information concerning natural disturbances, data from previous inventories, etc.). This map shows the various forest and ecological characteristics of the forest territory and corresponds to the forest profile up to the year in which the aerial photograph was taken. To learn more about ecoforest stratification parameters, simply consult Chapter 3 of the document [*Ecoforest Mapping Standards — Third Ecoforest Inventory (MRNF, 2009) *] (https://mrnf.gouv.qc.ca/documents/forets/inventaire/norme-cartographie-ecoforestiere.pdf). __Note that__ the original ecoforest map of the third inventory has been complete since 2003 and that no new cartographic information has been added since then. Note, however, that improvements were made to the dataset format in 2025.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. Two products are available to know the gross commercial volume of a tree according to its diameter at chest height (DHP) and its height. Their contents and the way of using them are different, but they both make it possible to obtain gross commercial volume values per tree. The first product is the **LIN3 cubing rate**. It is presented in the form of a table where the values of the gross market volume can be extracted directly. These are local rates, i.e. the height used in the general rate equation (volume prediction models) is predicted by height-DHP relationships developed per survey unit. The second product offers increased precision. It is presented in the form of several tables where the values of the gross commercial volume do not appear directly. Rather, the content of these tables is used to apply **models for predicting the height and gross commercial volume** of a tree. Height prediction models are also developed locally at the scale of survey units. The use of the product requires consultation of the document [“Models for predicting the height and gross commercial volume of trees - Method and use”] (https://mrnf.gouv.qc.ca/nos-publications/modele-prediction-hauteur-volume/). Finally, the **Predivol** tool allows users to more easily access prediction models for sample plots (PE) using a user-friendly interface that is independent of geographic information systems (GIS). ** 📣 Recommendation of the Forest Inventory Directorate: ** it is preferable to use models to predict height and gross market volume in territories where they are available. A new height prediction model is available when a territory obtains the results of forest compilations. In the absence of these models, it is still possible to use the LIN3 cubing rate. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

NFIS Project Office. This Web services are for forest change products that represents the first wall-to-wall characterization of wildfire and harvest in Canada at a spatial resolution commensurate with human impacts. The information outcomes represents 25 years of stand replacing change in Canada's forests derived from a single consistent spatially-explicit data source and derived in a fully automated manner.

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. Formerly, forest maps were produced by the Land Survey Department of the Ministry of Lands and Forests. Some of these maps dating **from 1924 to 1946** still exist and are treasured at the National Archives of Quebec. The information they contain makes it possible to locate and characterize forest areas in certain regions of Quebec. Color codes were then assigned for each of the following classes: young forests, old forests, burned, logged, rocky, savannas, and colonization. **These historical forest maps are available in two digital formats (PDF and TIFF) . ** **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This data layer contains individual forest stand level information for the Kemptville District, including: * working group (meaning a grouping of stands with the same predominant species composition. These are generally labelled based on the tree species that occupies the greatest canopy closure or amount of basal area in the stand) * species ID and percentage * height * age * stocking (meaning a qualitative measurement of the density of tree cover in a forest stand. This is generally based on the species with the most basal area, expressed as a percentage value ranging from zero to a maximum of 4. A stocking of 0 is empty, 1 is fully stocked, more than 1 is overstocked) * crown closure * soil moisture * stand modifier (meaning the subdivision of productive forest areas based on the presence or absence of physical or biological factors that will limit the ability to practice timber management) * site index * stand area (m²) This data was digitized in 1998 from 1978 hardcopy mylars through the Ice Storm Recovery Funding Program.