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Understanding Forest Health with Remote Sensing-Part II - A Review of Approaches and Data Models.

, , , , and . Remote Sensing, 9 (2): 129 (2017)

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Reduction of Radiometric Miscalibration - Applications to Pushbroom Sensors., , , , , , , , , and . Sensors, 11 (6): 6370-6395 (2011)In Situ/Remote Sensing Integration to Assess Forest Health - A Review., , , , , , , , and . Remote Sensing, 8 (6): 471 (2016)Priority list of biodiversity metrics to observe from space, , , , , , , , , and 21 other author(s). Nature Ecology and Evolution, (2021)Mapping of Soil Total Nitrogen Content in the Middle Reaches of the Heihe River Basin in China Using Multi-Source Remote Sensing-Derived Variables., , , , , and . Remote. Sens., 11 (24): 2934 (2019)Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements., , , , , , , , , and . Remote. Sens., 13 (22): 4659 (2021)Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring., , , , , , and . Remote. Sens., 7 (3): 2871-2898 (2015)The analysis of spatio-temporal dynamics of landscape structures, and . Landscape Balance and Landscape Assessment, Springer, (2001)Understanding Forest Health with Remote Sensing -Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics., , , , and . Remote Sensing, 8 (12): 1029 (2016)Measuring ß-diversity by remote sensing: A challenge for biodiversity monitoring, , , , , , , , , and 11 other author(s). Methods in Ecology and Evolution, 9 (8): 1787-1798 (2017)Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches., , , , , , , , , and 11 other author(s). Remote. Sens., 10 (7): 1120 (2018)