Efficient forest management demands detailed, timely information. As high spatial resolution
remotely sensed imagery becomes more available, there is a great potential for conducting …

Timely and accurate information on tree species (TS) is crucial for developing strategies for
sustainable management and conservation of artificial and natural forests. Over the last four …

Urban forest tree species mapping has benefitted from advances in remote sensing
techniques. In this study, we explored the potential of the newly developed high resolution …

Urban tree species mapping is an important prerequisite to understanding the value of
urban vegetation in ecological services. In this study, we explored the potential of bi …

Individual tree crown detection and delineation (ITCD) mainly depend on high-resolution
aerial photos and satellite images or LiDAR, and these data can be costly to obtain. The …

This study evaluated the potential of five seasonal high resolution Pléiades satellite images
for improving urban tree species classification in the City of Tampa, FL, USA. We assessed …

Abstract Urban Tree Canopy (UTC) plays an important role in moderating the Surface Urban
Heat Island (SUHI) effect, which poses threats to human health due to substantially …

Mapping individual tree species is critical to understand the ecosystem services value of the
urban forest and improve management. The main aim of this study is to assess the …

The objective of the current study was to analyze the seasonal effect on differentiating tree
species in an urban environment using multi-temporal hyperspectral data, Light Detection …

摘要针对无人机遥感技术在提取单株立木信息的限制性问题, 提出一种新的自动单株立木信息
提取方法. 对原始无人机影像进行光谱信息增强处理以突出局部细节特征; 通过引入DBI …