Michael L. Humber

According to our database, Michael L. Humber authored at least 9 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Assessing the Shape Accuracy of Coarse Resolution Burned Area Identifications.

Michael L. Humber, Luigi Boschetti, Louis Giglio

IEEE Trans. Geosci. Remote. Sens., 2020

Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar.

Mehdi Hosseini, Hannah Rae Kerner, Ritvik Sahajpal, Estefania Puricelli, Yu-Hsiang Lu, Afolarin Fahd Lawal, Michael L. Humber, Mary Mitkish, Seth Meyer, Inbal Becker-Reshef

Remote. Sens., 2020

2019

Towards Object-based Evaluation of Individual fires at Global scales.

Michael Laurence Humber

PhD thesis, 2019

Spatial and temporal intercomparison of four global burned area products.

Michael L. Humber, Luigi Boschetti, Louis Giglio, Christopher O. Justice

Int. J. Digit. Earth, 2019

2017

Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation.

Andrea Baraldi, Michael Laurence Humber, Dirk Tiede, Stefan Lang

CoRR, 2017

Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory.

Andrea Baraldi, Michael Laurence Humber, Dirk Tiede, Stefan Lang

CoRR, 2017

2015

Quality Assessment of Preclassification Maps Generated From Spaceborne/Airborne Multispectral Images by the Satellite Image Automatic Mapper and Atmospheric/Topographic Correction-Spectral Classification Software Products: Part 1 - Theory.

Andrea Baraldi, Michael L. Humber

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2014

Probability Sampling Protocol for Thematic and Spatial Quality Assessment of Classification Maps Generated From Spaceborne/Airborne Very High Resolution Images.

Andrea Baraldi, Luigi Boschetti, Michael L. Humber

IEEE Trans. Geosci. Remote. Sens., 2014

2013

Quality Assessment of Pre-Classification Maps Generated from Spaceborne/Airborne Multi-Spectral Images by the <i>Satellite Image Automatic Mapper™</i> and <i>Atmospheric/Topographic Correction™-Spectral Classification</i> Software Products: Part 2 - Experimental Results.

Andrea Baraldi, Michael L. Humber, Luigi Boschetti

Remote. Sens., 2013