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