Ian W. Housman

发表

Land Cover Mapping in Data Scarce Environments: Challenges and Opportunities

Matthew Patterson, Kel Markert, Farrukh Chishtie, 2019, Front. Environ. Sci..

An Evaluation of Forest Health Insect and Disease Survey Data and Satellite-Based Remote Sensing Forest Change Detection Methods: Case Studies in the United States

Ian W. Housman, Robert A. Chastain, Mark V. Finco, 2018, Remote. Sens..

Primitives as building blocks for constructing land cover maps

David J. Ganz, David Saah, Biplov Bhandari, 2020, Int. J. Appl. Earth Obs. Geoinformation.

An accuracy assessment of forest disturbance mapping in the western Great Lakes

Ian W. Housman, Patrick L. Zimmerman, Mark Finco, 2013 .

Remote Sensing ofEnvironment Snow-covered Landsat time series stacks improve automated disturbance mapping accuracy in forested landscapes

Chengquan Huang, Sean P. Healey, Warren B. Cohen, 2022 .

Empirical cross sensor comparison of Sentinel-2A and 2B MSI, Landsat-8 OLI, and Landsat-7 ETM+ top of atmosphere spectral characteristics over the conterminous United States

Ian W. Housman, M. Finco, R. Chastain, 2019, Remote Sensing of Environment.

Improving automated disturbance maps using snow-covered landsat time series stacks

Ian W. Housman, M. D. Nelson, W. Cohen, 2012 .

The tree cover and temperature disparity in US urbanized areas: Quantifying the association with income across 5,723 communities

Ian W. Housman, R. McDonald, D. Balk, 2021, PloS one.

A Machine Learning Approach to Predict Groundwater Levels in California Reveals Ecosystems at Risk

Ian W. Housman, Kirk R. Klausmeyer, Tanushree Biswas, 2021, Frontiers in Earth Science.

Mapping forest canopy disturbance in the Upper Great Lakes, USA

Ian W. Housman, M. D. Nelson, Brian G. Tavernia, 2015 .

Remote Sensing ofEnvironment Snow-covered Landsat time series stacks improve automated disturbance mapping accuracy in forested landscapes

Ian W. Housman, Cohen, Chengquan Huang, 2022 .