Niti Mishra
University of Wisconsin-La Crosse - Assistant Professor
Using UAV imagery and Object-Based Image Analysis to Detect Invasive Miconia calvescens
No online presentation available
Bio: Niti Mishra research interests lies in combining field and remotely sensed variables for bio-physical characterization of land surfaces and integrating geospatial analysis and modeling into conservation planning. His has conducted research in diverse landscape such as Glaciers in the Indian Himalayas, Agricultural systems in Thailand and more recently in savanna systems in southern Africa and Texas.
Using UAV imagery and Object-Based Image Analysis to Detect Invasive Miconia calvescens
Contact Info:
2004 Cowley Hall
University of Wisconsin-La Crosse
La Crosse, WI 54601
Email 608-785-8334
Presentation Keywords:
Miconia calvescens is one of Hawaii’s most invasive plants which has primarily been tracked by manned helicopter and on-the-ground survey efforts. This presentation will highlight the potential and methodological challenges associated with automatically extracting Miconia stands using UAV imagery combined with Object Based Analysis.
invasive species mapping, UAV, Object based image analysis, segmentation, machine learning, texture