Geospatial approaches to mapping invasive alien plants: the neglected role of soil in remote sensing and GIS-based distribution models
系统综述遥感与GIS入侵植物分布模型，指出土壤变量被严重忽视。
← 主题
Landsat 机器学习 土地覆盖
同时包含 Landsat、机器学习、土地覆盖 的农业资讯，共 6 条。
Integrating machine learning and geospatial technologies for spatio-temporal analysis of urban expansion and land use transformation in Gambella Town, Ethiopia
用机器学习与遥感分析埃塞俄比亚甘贝拉镇2005-2025年城市扩张与土地利用变化。
Understanding Land Use/Land Cover Dynamics and Land Surface Temperature Variations Through Machine Learning and Geospatial Approach: A Case Study of Kullu District, Himachal Pradesh, India
用机器学习与遥感分析印度库鲁区1991-2022年土地利用变化及其对地表温度的影响。
Remote sensing and geospatial modeling for the detection of war-induced land use abandonment, soil disturbance, and degradation in Sumy region of Ukraine: a systematic review
系统综述遥感与地理空间建模在乌克兰苏梅地区检测战争导致的土地弃耕、土壤扰动与退化的应用。
Multi-annual sub-pixel land cover mapping with TESSERA latent embeddings
评估TESSERA潜嵌入用于多年度亚像元土地覆盖制图，并与光谱时序指标和样条系数比较。
Evaluating the thermal impacts of urban corridor redevelopment and greening interventions in Addis Ababa using multi-temporal satellite data and machine learning
评估亚的斯亚贝巴走廊改造与绿化对地表温度的影响，发现建成区扩张导致升温5.06°C，绿化无法抵消。