Forest Ecosystem Monitoring Cooperative(802) 656-0683femc@uvm.eduwww.uvm.edu/femc705 Spear StreetSouth BurlingtonVermont05403United States of AmericaNortheastern States Research Cooperative United States Department of Agriculture (USDA) National Institute of Food and AgricultureUnited States Department of Agriculture (USDA), Forest Service State & Private ForestryfunderVermont Forest Parks and Recreation partnerMapping forest species mixes across the Northeast from Landsat imageryThis project utilized historical Landsat imagery, field-based data and novel remote sensing analytical techniques to map the percent basal area of select species across the northern forest region (northern New York, northern Vermont, northern New Hampshire, Maine) of the northeastern USA and generated improved forest type maps and forest/non-forest classifications. An update in 2020 extended this mapping to southern Vermont and surrounding portions of New York, New Hampshire and MassachusettsMapping forest species mixes across the Northeast from Landsat imageryPontiusJenniferGudex-CrossDavidAdamsAlisonspecies compositionlandsatremote sensingforest classificationExpanded Northeast Forest Landcover Classifications 2018-10-012020-10-30This dataset contains a raster of forest type classifications (e.g. Spruce/Fir, Northern Hardwoods, etc.), based on modeled percent basal area, from 1985 to 2015 derived from Landsat imagery for all of Vermont and portions of Maine, Massachusetts, New Hampshire and New York. Forest/non-forest classifications are derived from the National Land Cover Database.20201223095024_FinalClassification.zipVMC.1344.3414mySQLGudex-Cross, D, J. Pontius. (2020) Expanded Northeast Forest Landcover Classifications . Forest Ecosystem Monitoring Cooperative. Available online at: /femc/data/archive/project/northeast-forest-species-mapping-from-landsat/dataset/expanded-northeast-forest-landcover-classifications/femc/data/archive/project/northeast-forest-species-mapping-from-landsat/dataset/expanded-northeast-forest-landcover-classifications