Search Records

The cloud-corrected NDVI data extracted from historical MODIS satellite images at 250 metre resolution provides reliable, objective, and timely information on the state of vegetation throughout Canada and the northern United States. The methodology applied to the images has remained the same as...

This dataset includes annual average Julian dates of spring green-up, fall brown-down, and plant productivity from 2000-2010. The data are from remote sensing. The MODIS (Moderate-resolution Imaging Spectroradiometer) satellite provides an image of the park every 10 days, which is used to...

This dataset includes plant productivity values for spring, summer and fall from 2000-2016. The data are from remote sensing. The MODIS (Moderate-resolution Imaging Spectroradiometer) satellite provides an image of the park every 10 days, which is used to calculate NDVI (Normalized Difference...

This dataset includes annual average Julian dates of spring green-up, fall brown-down, and plant productivity from 2000-2012. The data are from remote sensing. The MODIS (Moderate-resolution Imaging Spectroradiometer) satellite provides an image of the park every 10 days, which is used to...

Remote sensing techniques are used to monitor forest productivity in the park’s interior forest ecodistricts: Bremner Uplands, Widgeon Uplands and Pukaskwa River Plain. Forest productivity is measured using the Normalized Difference Vegetation Index (NDVI) and Landsat imagery (Landsat 5, 7 and 8)...

This dataset includes annual average Julian dates of spring green-up, fall brown-down, and plant productivity from 2000-2012. The data are from remote sensing. The MODIS (Moderate-resolution Imaging Spectroradiometer) satellite provides an image of the park every 10 days, which is used to...

This dataset includes annual average Julian dates of spring green-up, fall brown-down, and plant productivity from 2000-2012. The data were obtained from remote sensing. The MODIS (Moderate-resolution Imaging Spectroradiometer) satellite provides a composite image of the park every 10 days, which...

The cloud-corrected representation of the NDVI using historical AVHRR and VIIRS satellite images at 1 kilometre resolution provides reliable, objective and timely information on the state of vegetation throughout Canada and the northern United States. The methodology applied to the images has...

Remote sensing techniques are used to monitor forest productivity in the park’s coastal ecodistricts: White River Plains and Coastal Hills. Forest productivity is measured using the Normalized Difference Vegetation Index (NDVI) and Landsat TM imagery (Landsat 5, 7 and 8) choosing dates of peak...