The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The AVHRR monthly composite time series of Canada at 1 km resolution is a long-term satellite record produced by the Canada Centre for Remote Sensing (CCRS) from imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensors aboard the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, NOAA-18, and NOAA-19 satellites. The dataset provides monthly composite imagery covering the period from January 1985 to December 2013 (1985-01-21 to 2013-12-21), offering a consistent multi-decadal record for monitoring Canada's terrestrial environment. The monthly products are derived from the original 10-day AVHRR composite time series to provide a uniform temporal record suitable for long-term environmental monitoring. Each monthly image is provided as a three-band, 8-bit RGB Cloud Optimized GeoTIFF (COG) with a spatial resolution of 1 km (R: NDVI; G: NIR (0.725–1.10 µm); B: Visible red (0.58–0.68 µm)). This false-colour composite enhances the visualization of vegetation condition, water bodies, snow and ice, and other land surface features. The imagery has undergone geolocation, radiometric calibration, cloud screening, atmospheric correction, and bidirectional reflectance distribution function (BRDF) normalization to produce a spatially and temporally consistent dataset suitable for land cover mapping, vegetation monitoring, environmental assessment, and climate change studies. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**