__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*__. 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).**

The temporary sample plot is a circular sample unit that covers an area of 400 m2. For each tree, we observe and measure the species, diameter, sunlight, and floor in relation to other trees, as well as the defoliation and the quality of the stems of deciduous trees and certain pines. In addition, the age and height of three trees are determined. Finally, a survey of the station and the vegetation of the undergrowth is carried out, and the characteristics of the soil are noted. Plot data also includes information about the location of the plots and the sampling plan. These data are acquired as part of the **fifth ecoforest inventory of southern Québec**. They are used in particular to produce forest compilation results used to feed the calculation of forest opportunities in public forests in Quebec. They can also be useful in the development of private forests. The establishment of these plots began in 2017. This database covers part of the territory south of the 52nd parallel of Quebec's public and private forest. **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 temporary sample plot is a circular sample unit that covers an area of 400 m2 (the main unit). For each tree, we observe and measure the species, diameter, and stage in relation to other trees, as well as the defoliation and the quality of the stems of deciduous trees and certain pines. In addition, the age and height of three trees are determined. Finally, a survey of the station is carried out. Plot data also includes information about the location of the plots and the sampling plan. These data are acquired as part of the **second forest inventory in southern Québec.** They were used in particular to produce forest compilation results used to feed the calculation of forest opportunities in public forests in Quebec. The establishment of these plots took place between 1980 and 1993. This database covers almost all of the territory south of the 52nd parallel of Quebec's public and private forest. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This product presents a polygonal layer of wetlands of interest (MHI) located on the domain of the State and designated under the Sustainable Forest Development Act (LADTF, chapter A-18.1). The wetlands of interest are wetlands of high ecological value or of great importance for maintaining biological diversity. Their management is under the responsibility of the Ministry of Natural Resources and Forests (MRNF). Forest management activities are prohibited on the territory of a wetland of interest, with few exceptions. Legally designated wetlands of interest are exempt from industrial activities, which allows them to be registered on the Register of protected areas and AMCE* in Quebec maintained by the Ministry of the Environment and the Fight against Climate Change, Wildlife and Parks. This data comes from the MRNF's Forest Territorial Subdivisions (STF) product, which is the official source of this geographic information. *AMCE: other effective conservation measures**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 Directorate of Forest Inventories (DIF) carries out assessments of tree biomass and their carbon content at the scale of ecoforest stands to deepen knowledge on the contribution of forests in the global carbon cycle. This information can be useful in the context of climate change to document the mitigating role played by forests. The resulting product, a database containing a single table entitled “BIOMASSE_CARBONE_PEE_ORI_PROV”, shows the biomass and carbon values of living trees above ground for all productive ecoforest stands. The exploitation of the database requires the data from [the original ecoforest map] (https://www.donneesquebec.ca/recherche/dataset/resultats-d-inventaire-et-carte-ecoforestiere) and the establishment of a connection with the information of the polygonal entity class of settlements. The database includes biomass variables converted to carbon stocks, detailing the biomass of wood, bark, branches, and foliage. For a thorough understanding, you can consult the Read Me associated with this product and the publication [“Biomass and carbon forests in southern Quebec - Method and use”] (https://mrnf.gouv.qc.ca/nos-publications/biomasse-carbone-forestiers-quebec-meridional/) (MRNF, 2026) which offers additional methodological information. **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 polygonal layer of lidar slope classes expresses the slope of the terrain. The slopes are generated from a digital terrain model (DTM) with a resolution of 10 meters. The latter is the result of an aggregation by bilinear interpolation of lidar NCDs at 1 m. The minimum area of the resulting polygons is 0.2 hectares. Lidar digital slopes are divided into 7 classes. + A - Null by [0 to 3]% + B - Low from] 3 to 8]% + C - Soft from] 8 to 15]% + D - Moderate [from] 15 to 30]% + E - Strong from] 30 to 40]% + F - Steep from] 40 to ∞ [% + S — Summit completely surrounded by F slopes This map covers the entire territory of the Southern Quebec Ecoforest Inventory (IEQM) and was developed in order to provide stakeholders with the tools they need when applying for financial assistance from the Forest Management Investment Program (PIAF). __We do not recommend using the information in this layer for detailed analysis. __**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 layer of **ecological planning units (UPE) ** constitutes the territorial base at the base of the ecoforest inventory process in southern Quebec (IEQM). It was created and then integrated as part of the current inventory (fifth IEQM). It integrates concepts that are both administrative (forest region) and ecological (ecological region). More precisely, the division is done on an ecological basis within each of the forest regions. It is on this basis that the activities of the IEQM are planned. Each of the layers included in the IEQM monitoring datasets reports on what has been achieved as part of the current inventory. We are talking here about aerial photography, mapping, terrestrial sampling of temporary sample plots, and compilation activities. Each year, new territories are added to each layer to reflect the progress of the work. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**