Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2018 during the "leaf-on" agricultural growing season and are sourced from the U.S. Department of Agriculture's National Agriculture Imagery Program (NAIP). Data are updated every 4 years and each update is provided as a separate dataset. For historical data, search for tree canopy 2006, 2010, and 2014. The NAIP imagery resolution for 2018 is 60cm (~2 feet). This is 4-band imagery (Red, Green, Blue, and Infrared bands) available in both true color and color-infrared. Tree canopy data is provided in both raster and vector GIS formats housed in a Geodatabase. Download and unzip the folder to get started. Please note, errors may exist in this dataset due to the variation in species composition and land use found across the study area. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2010 during the "leaf-on" agricultural growing season and are sourced from the U.S. Department of Agriculture's National Agriculture Imagery Program (NAIP). Data are updated every 4 years and each update is provided as a separate dataset. For historical data, search for tree canopy 2006, 2014, and 2018. The NAIP imagery resolution for 2010 is 1m (~3.3 feet). This is 4-band imagery (Red, Green, Blue, and Infrared bands) available in both true color and color-infrared. Tree canopy data is provided in both raster and vector GIS formats housed in a Geodatabase. Download and unzip the folder to get started. Please note, errors may exist in this dataset due to the variation in species composition and land use found across the study area. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2014 during the "leaf-on" agricultural growing season and are sourced from the U.S. Department of Agriculture's National Agriculture Imagery Program (NAIP). Data are updated every 4 years and each update is provided as a separate dataset. For historical data, search for tree canopy 2006, 2010, and 2018. The NAIP imagery resolution for 2014 is 1m (~3.3 feet). This is 4-band imagery (Red, Green, Blue, and Infrared bands) available in both true color and color-infrared. Tree canopy data is provided in both raster and vector GIS formats housed in a Geodatabase. Download and unzip the folder to get started. Please note, errors may exist in this dataset due to the variation in species composition and land use found across the study area. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

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산림의 변화를 확인하기 위하여 1~4차(1971년~2005년)를 거쳐 촬영된 과거 산림항공사진 정보

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management. For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018). Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

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– 경상지역 산림 변화 탐지 AI기술 개발을 위한 산림수종 (소나무, 낙엽송, 기타침엽수, 활엽수, 상록활엽수, 판독불가, 비산림) 이미지

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management. For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018). Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)