Erkki Tomppo

According to our database, Erkki Tomppo authored at least 12 papers between 2013 and 2024.

Collaborative distances:

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

2024

Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data.

Ghasem Ronoud, Ali Asghar Darvishsefat, Maryam Poorazimy, Erkki Tomppo, Oleg Antropov, Jaan Praks

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.

Shaojia Ge, Erkki Tomppo, Yrjö Rauste, Ronald E. McRoberts, Jaan Praks, Hong Gu, Weimin Su, Oleg Antropov

Remote. Sens., July, 2023

First Demonstration of Space-Borne Polarization Coherence Tomography for Characterizing Hyrcanian Forest Structural Diversity.

Maryam Poorazimy, Shaban Shataee, Hossein Aghababaei, Erkki Tomppo, Jaan Praks

Remote. Sens., February, 2023

2022

Nonlocal Multiscale Single Image Statistics From Sentinel-1 SAR Data for High Resolution Bitemporal Forest Wind Damage Detection.

Terhikki Manninen, Emmihenna Jääskeläinen, Erkki Tomppo

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Editorial Summary, Remote Sensing Special Issue "Advances in Remote Sensing for Global Forest Monitoring".

Erkki Tomppo, Guangxing Wang, Jaan Praks, Ronald E. McRoberts, Lars T. Waser

Remote. Sens., 2021

Detection of Forest Windstorm Damages with Multitemporal SAR Data - A Case Study: Finland.

Erkki Tomppo, Ghasem Ronoud, Oleg Antropov, Harri Hytönen, Jaan Praks

Remote. Sens., 2021

2020

Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods - A Case Study from Dak Nong, Vietnam.

Huong Thi Thanh Nguyen, Trung Minh Doan, Erkki Tomppo, Ronald E. McRoberts

Remote. Sens., 2020

Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories.

Ronald E. McRoberts, Erik Næsset, Christophe Sannier, Stephen V. Stehman, Erkki Tomppo

Remote. Sens., 2020

Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data.

Shaojia Ge, Erkki Tomppo, Yrjö Rauste, Weimin Su, Hong Gu, Jaan Praks, Oleg Antropov

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Cropland Classification Using Sentinel-1 Time Series: Methodological Performance and Prediction Uncertainty Assessment.

Erkki Tomppo, Oleg Antropov, Jaan Praks

Remote. Sens., 2019

Boreal Forest Snow Damage Mapping Using Multi-Temporal Sentinel-1 Data.

Erkki Tomppo, Oleg Antropov, Jaan Praks

Remote. Sens., 2019

2013

Linear unmixing of MODIS albedo composites to infer subpixel land cover type albedos.

Nea Kuusinen, Erkki Tomppo, Frank Berninger

Int. J. Appl. Earth Obs. Geoinformation, 2013