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Johannes Reiche
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2020 – today
- 2024
- [j18]Johannes Balling, Bart Slagter, Sietse van der Woude, Martin Herold
, Johannes Reiche:
ALOS-2 PALSAR-2 ScanSAR and Sentinel-1 data for timely tropical forest disturbance mapping: A case study for Sumatra, Indonesia. Int. J. Appl. Earth Obs. Geoinformation 132: 103994 (2024) - [j17]Nikoletta Moraiti
Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Côte d'Ivoire and Ghana Using Sentinel-2 and Random Forest Model. Remote. Sens. 16(3): 598 (2024) - [j16]Sietse van der Woude
Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests. Remote. Sens. 16(9): 1553 (2024) - 2023
- [j15]Johannes Balling
How textural features can improve SAR-based tropical forest disturbance mapping. Int. J. Appl. Earth Obs. Geoinformation 124: 103492 (2023) - [c2]Adugna G. Mullissa, Johannes Reiche, Sassan Saatchi:
Seasonal Forest Disturbance Detection Using Sentinel-1 SAR & Sentinel-2 Optical Timeseries Data and Transformers. IGARSS 2023: 3122-3124 - 2022
- [j14]Adugna G. Mullissa
Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j13]Yaqing Gou
Large Area Aboveground Biomass and Carbon Stock Mapping in Woodlands in Mozambique with L-Band Radar: Improving Accuracy by Accounting for Soil Moisture Effects Using the Water Cloud Model. Remote. Sens. 14(2): 404 (2022) - [j12]Christina Cappello
Alert-Driven Community-Based Forest Monitoring: A Case of the Peruvian Amazon. Remote. Sens. 14(17): 4284 (2022) - [j11]Andrei Mîrt
A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing. Remote. Sens. 14(21): 5538 (2022) - [j10]Adugna G. Mullissa
deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j9]Matthias Schramm, Edzer J. Pebesma, Milutin Milenkovic
The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities. Remote. Sens. 13(6): 1125 (2021) - [j8]Adugna G. Mullissa
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine. Remote. Sens. 13(10): 1954 (2021) - 2020
- [j7]Bart Slagter, Nandin-Erdene Tsendbazar, Andreas Vollrath, Johannes Reiche:
Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa. Int. J. Appl. Earth Obs. Geoinformation 86 (2020) - [j6]Andreas Vollrath, Adugna G. Mullissa
Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine. Remote. Sens. 12(11): 1867 (2020) - [c1]Adugna G. Mullissa
Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning. IGARSS 2020: 700-703
2010 – 2019
- 2018
- [j5]Johannes Reiche
Characterizing Tropical Forest Cover Loss Using Dense Sentinel-1 Data and Active Fire Alerts. Remote. Sens. 10(5): 777 (2018) - 2017
- [j4]Eliakim Hamunyela, Johannes Reiche
Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series. Remote. Sens. 9(6): 515 (2017) - 2016
- [j3]Neha P. Joshi
A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring. Remote. Sens. 8(1): 70 (2016) - 2015
- [j2]Johannes Reiche
A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection. Remote. Sens. 7(5): 4973-4996 (2015) - 2013
- [j1]Johannes Reiche
Feature Level Fusion of Multi-Temporal ALOS PALSAR and Landsat Data for Mapping and Monitoring of Tropical Deforestation and Forest Degradation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(5): 2159-2173 (2013)
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last updated on 2024-10-07 21:15 CEST by the dblp team
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