North Coast and Cascades Network Landscape Change Monitoring Barren Land and Water Masks

North Coast and Cascades Inventory and Monitoring Network (NCCN) has developed a baren land and water mask for Mount Rainier, Olympic, and North Cascades National Parks and surrounding areas as part of the NCCN Landscape Change Monitoring Protocol (https://irma.nps.gov/DataStore/Reference/Profile/2097545). This protocol uses satellite imagery, LandTrendr algorithms, and machine learning to detect, map, and label annual landscape disturbances—such as avalanches, landslides, riparian changes, fires, and insect and disease outbreaks—across Pacific Northwest national parks and adjacent lands. The mask identifies areas with minimal or no vegetation cover, where spectral changes detected by LandTrendr are typically driven by annual differences in snow or cloud cover, water-surface reflectance, shading, or seasonal variations in herbaceous or shrub phenology.

北海岸与喀斯喀特资源清查与监测网络（NCCN）针对雷尼尔山、奥林匹克国家公园及北喀斯喀特国家公园的周边区域，开发了裸地与水体掩膜产品，该产品作为NCCN景观变化监测规程的组成部分，相关规程详情可参见：https://irma.nps.gov/DataStore/Reference/Profile/2097545。该规程依托卫星影像、LandTrendr算法与机器学习技术，可对太平洋西北地区国家公园及毗邻土地上的年度景观扰动开展检测、制图与标注工作，扰动类型涵盖雪崩、滑坡、河岸带变化、火灾以及病虫害暴发等。该掩膜可识别植被覆盖极少或无植被覆盖的区域；LandTrendr算法检测到的光谱变化，通常由年度积雪或云量差异、水体表面反射率、阴影影响，或草本与灌木物候的季节性变化所驱动。