corridors is threatened by the shifting climate [4], spread of invasive species [5; 6; 7], and wildfire-induced vegetation loss [8] along three of the longest National Scenic Trails: the Appalachian Trail (AT), the Pacific Crest Trail (PCT), and the Continental Divide Trail (CDT), collectively referred to as the Triple Crown. The Triple Crown trail system includes more than 12,674 km of hiking trails. It is protected through a patchwork of conservation lands, including National Forests, National Parks, Bureau of Land Management public lands, and Wildlife Refuges [9]. The majority of lands surrounding the Triple Crown are owned publicly and include dozens of wilderness areas managed by numerous local, state, and federal government agencies, including the Bureau of Land Management (BLM), the United States Forest Service (USFS), and the National Park Service (NPS) [10]. In addition, tribal nations and non-profit entities play a key role in land management [11]. To monitor the environmental health of the trail system, scientific studies of trail environmental phenomena include the examination of the species distribution [9; 12], water quality [13], invasive species [14], landslide and geomorphology analysis [15], and geologic mapping [16]. Research into ecosystem processes and environmental health guides comprehensive plans and informs land management decisions [17; 18]. Some trail sections, such as the Appalachian Trail, have benefitted from thorough multi-year vegetation mapping efforts, informed through extensive ecological field work and geographic spatial analysis [12]. However, the massive size of the Triple Crown system inhibits continuous ground-based assessment due to the insufficient number of personnel and financial limitations. While in situ monitoring remains vital for scientific research and data collection, remote sensing provides an additional tool to monitor broad landscape patterns and identify trends across the entire trail system over long periods [11; 19; 20]. Large-scale conservation efforts require consideration of the complex spatial and temporal scales involved in managing huge land areas [21]. Synthesis of various datasets and diverse expertise is also essential to holistically identify trends across the landscape [3; 22]. Remote sensing is an essential tool for comprehensive vegetation analysis at various temporal scales, as outlined by [PERSON] et al. in 2025 [23]. The changes captured in multidecadal satellite imagery include gradual shifts caused by factors such as vegetation growth [24; 25], land degradation [26], invasive species [27], and shifting climate [23]. Research into seasonal vegetation dynamics includes phenological shifts [28], while investigation of abrupt changes considers natural hazard impacts and rapid land cover modification [29]. Case studies of vegetation health often consider multiple temporal scales and are frequently conducted using a combination of remote sensing methods, including image classification for change detection [30], implementation of numerous spectral algorithms [31], advanced trend analysis [32], and assessment of recovery metrics [33; 34]. For example, [PERSON] et al. utilized MODIS, Landsat, Sentinel-2, GF-1, GF-4, and Planet imagery to investigate the vegetation dynamics and wildfire impacts in Liangshan Prefecture, Sichuan Province, China [35]. [PERSON] et al. [36] investigated the vegetation cover dynamics along Himalayan rivers using a combination of Landsat spectral indices, land cover modeling, and seasonal and inter-annual approaches. [PERSON] et al. investigated the vegetation greenness using MODIS data while incorporating consideration of climate data and anthropogenic impacts within the Tibetan plateau [37]. [PERSON] et al. utilized land cover, MODIS imagery, and LandTrendr modeling to examine the vegetation dynamics in Quebec, Canada [38]. Forest health is of vital importance in trail corridors.