ACTGOV Vegetation Map 2023

The Nature Repair Act 2023 (the Act), which took effect on 15 December 2023, establishes a framework for a legislated, national biodiversity market. The Act provides clear rules to ensure transparency and integrity, fostering collaboration to address environmental decline. The Nature Repair Market is a government scheme designed to deliver high-integrity biodiversity outcomes and increase investment in nature. This scheme establishes a marketplace where individuals and organisations can undertake nature repair projects to generate a tradable certificates. This dataset represents the eligible regions, defined as a subset of IBRA subregions, where biodiversity projects can be established under the Nature Repair (Replanting Native Forest and Woodland Ecosystems) methodology determination. These subregions include landscapes with intensive historical land use, where native vegetation has often been cleared or thinned. Remaining vegetation in these areas is frequently degraded by forestry and agriculture, impacted by pests and weeds, and affected by low levels of ecological connectivity.

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This layer is a high-resolution tree canopy change-detection layer for Cambridge, MA. It contains three tree-canopy classes for the period 2018-2024: (1) No Change; (2) Gain; and (3) Loss. It was created by extracting tree canopy from existing high-resolution land-cover maps for 2018 and 2024 and then comparing the mapped trees directly. Tree canopy that existed during both time periods was assigned to the No Change category while trees removed by development, storms, or disease were assigned to the Loss class. Trees planted during the interval were assigned to the Gain category, as were the edges of existing trees that expanded noticeably. Direct comparison was possible because both the 2018 and 2024 maps were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset will be subjected to manual review and correction at a scale of 1:2500. Explore all our data on the Cambridge GIS Data Dictionary. Attributes NameType DetailsDescription Class_name type: String width: 255 precision: 0 Classification name. Contains three tree-canopy classes for the period 2009-2014: (1) No Change; (2) Gain; and (3) Loss

The Dynamic Land Cover Dataset of Australia is the first nationally consistent and thematically comprehensive land cover reference for Australia. It is the result of a collaboration between Geoscience Australia and the Australian Bureau of Agriculture and Resource Economics and Sciences, and provides a base-line for identifying and reporting on change and trends in vegetation cover and extent. Land cover is the observed biophysical cover on the Earth's surface, including native vegetation, soils, exposed rocks and water bodies as well as anthropogenic elements such as plantations, crops and built environments. Remote sensing data recorded over a period of time allows the observation of land cover dynamics. Different land cover types display distinct responses due to seasonal, climatic and anthropogenic drivers. Classifying these responses provides a robust and repeatable way of characterising land cover types. A key aspect of land cover is vegetation greenness. The greenness of vegetation is directly related to the amount of photosynthesis occurring, and can be measured as an index such as the Enhanced Vegetation Index (EVI). The Dynamic Land Cover Dataset presents land cover information for every 250m by 250m area of the country from April 2000 to April 2008. The classification scheme used to describe land cover categories in the Dynamic Land Cover Dataset conforms to the 2007 International Standards Organisation (ISO) land cover standard (19144-2). The Dynamic Land Cover Dataset shows Australian land covers clustered into 34 ISO classes. These reflect the structural character of vegetation, ranging from cultivated and managed land covers (crops and pastures) to natural land covers such as closed forest and sparse, open grasslands. **Citation:** Lymburner, L., Tan, P., Mueller, N., Thackway, R., Lewis, A., Thankappan. M., Randall, L., Islam, A., and Senarath, U. (2011). The Dynamic Land Cover Datset. 95pp. GA Record 2011/31, ISBN 978-1-921954-30-6, Geoscience Australia, Canberra. **Contact points:** Resource Contact: CSIRO - AUSTRALIA’S NATIONAL SCIENCE AGENCY **Data lineage:** The source data for the Dynamic Land Cover Dataset is a time series of Enhanced Vegetation Index (EVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites operated by NASA. The time series includes 186 snapshots of vegetation greenness for each 250m by 250m area across the continent over an 8 year period from 2000 to 2008. **Resource constraints:** © Commonwealth of Australia (Geoscience Australia) 2015. This product is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcode **Online resources:**

Informationen zur Lage, Größe und Art von Biotopen dienen der Situationsbeurteilung bei diversen Planungen und Verfahren. Deshalb wurde in den Jahren 1992 bis 1997 eine vegetationskundliche Kartierung im Tiroler Dauersiedlungsraumes unterhalb 1200 Höhenmeter durchgeführt. Kartierungsbasis war das Orthofoto 1:10.000.Seit 2004 wird die Biotopkartierung aktualisiert. Neuer Erfassungsmaßstab: 1 : 4000.Die Biotopkartierung ist dem INSPIRE Datenthema Lebensräume und Biotope (Annex III) zugeordnet. Link zu den Metadaten (Update: 16.10.2026 11:14Uhr)

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).