Johannes Reiche

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Martin HeroldGFZ Potsdam, University of Potsdam, Wageningen UniversityEmail yang diverifikasi di gfz-potsdam.de
Jan VerbesseltBELSPO, and Wageningen UniversityEmail yang diverifikasi di belspo.be
Bart SlagterPhD candidate, Wageningen UniversityEmail yang diverifikasi di wur.nl
Adugna MullissaUniversity of California, Los Angeles (UCLA)Email yang diverifikasi di ucla.edu
Eliakim HamunyelaUniversity of NamibiaEmail yang diverifikasi di unam.na
Veronique De SyMixed PixelEmail yang diverifikasi di mixedpixel.nl
C C SchmulliusUniversity Jena, Department for Earth ObservationEmail yang diverifikasi di uni-jena.de
Nandika TsendbazarWageningen UniversityEmail yang diverifikasi di wur.nl
Jörg HaarpaintnerNORCE - Norwegian Research Centre ASEmail yang diverifikasi di norceresearch.no
Richard LucasAberystwyth UniversityEmail yang diverifikasi di aber.ac.uk
Maurizio SantoroGamma Remote SensingEmail yang diverifikasi di gamma-rs.ch
Edward MitchardChief Scientist, Space Intelligence LtdEmail yang diverifikasi di space-intelligence.com
Fensholt RasmusProfessor of Geography, Dept of Geoscience and Natural Resource Management, University of CopenhagenEmail yang diverifikasi di ign.ku.dk
Tobias KuemmerleHumboldt-University BerlinEmail yang diverifikasi di hu-berlin.de
Patrick HostertGeography, Humboldt Universität zu BerlinEmail yang diverifikasi di geo.hu-berlin.de
Martin Rudbeck JepsenAssociate professor, University of CopenhagenEmail yang diverifikasi di geo.ku.dk
Amy H PickensDepartment of Geographical Sciences, University of MarylandEmail yang diverifikasi di umd.edu
Christian ThielDLR Data ScienceEmail yang diverifikasi di dlr.de
Wolfgang WagnerProfessor for Remote Sensing, TU WienEmail yang diverifikasi di geo.tuwien.ac.at
Markus Netelermundialis GmbH & Co KGEmail yang diverifikasi di mundialis.de

Ikuti

Johannes Reiche

Wageningen University (Associate Professor)

Email yang diverifikasi di wur.nl - Beranda

Earth Observation Synthetic Aperture Radar Change Monitoring Forest Dynamics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring N Joshi, M Baumann, A Ehammer, R Fensholt, K Grogan, P Hostert, ...	754	2016
Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2 J Reiche, E Hamunyela, J Verbesselt, D Hoekman, M Herold Remote Sensing of Environment 204, 147-161, 2018	273	2018
Sentinel-1 sar backscatter analysis ready data preparation in google earth engine A Mullissa, A Vollrath, C Odongo-Braun, B Slagter, J Balling, Y Gou, ... Remote Sensing 13 (10), 1954, 2021	271	2021
Fusing Landsat and SAR time series to detect deforestation in the tropics J Reiche, J Verbesselt, D Hoekman, M Herold Remote Sensing of Environment 156, 276-293, 2015	241	2015
Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa B Slagter, NE Tsendbazar, A Vollrath, J Reiche International Journal of Applied Earth Observation and Geoinformation 86, 102009, 2020	217	2020
Combining satellite data for better tropical forest monitoring J Reiche, R Lucas, AL Mitchell, J Verbesselt, DH Hoekman, ... Nature Climate Change 6 (2), 120-122, 2016	184	2016
The role and need for space-based forest biomass-related measurements in environmental management and policy M Herold, S Carter, V Avitabile, AB Espejo, I Jonckheere, R Lucas, ... Surveys in Geophysics 40, 757-778, 2019	166	2019
Forest disturbance alerts for the Congo Basin using Sentinel-1 J Reiche, A Mullissa, B Slagter, Y Gou, NE Tsendbazar, C Odongo-Braun, ... Environmental Research Letters 16 (2), 024005, 2021	161	2021
Angular-based radiometric slope correction for Sentinel-1 on google earth engine A Vollrath, A Mullissa, J Reiche Remote Sensing 12 (11), 1867, 2020	152	2020
A Bayesian approach to combine Landsat and ALOS PALSAR time series for near real-time deforestation detection J Reiche, S De Bruin, D Hoekman, J Verbesselt, M Herold Remote sensing 7 (5), 4973-4996, 2015	98	2015
Feature level fusion of multi-temporal ALOS PALSAR and Landsat data for mapping and monitoring of tropical deforestation and forest degradation J Reiche, CM Souza, DH Hoekman, J Verbesselt, H Persaud, M Herold IEEE Journal of Selected Topics in Applied Earth Observation and Remote …, 2013	94	2013
Multi-model radiometric slope correction of SAR images of complex terrain using a two-stage semi-empirical approach DH Hoekman, J Reiche Remote Sensing of Environment 156, 1-10, 2015	86	2015
Characterizing tropical forest cover loss using dense Sentinel-1 data and active fire alerts J Reiche, R Verhoeven, J Verbesselt, E Hamunyela, N Wielaard, ... Remote Sensing 10 (5), 777, 2018	85	2018
DeSpeckNet: Generalizing deep learning-based SAR image despeckling AG Mullissa, D Marcos, D Tuia, M Herold, J Reiche IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2020	81	2020
The openeo api–harmonising the use of earth observation cloud services using virtual data cube functionalities M Schramm, E Pebesma, M Milenković, L Foresta, J Dries, A Jacob, ... Remote Sensing 13 (6), 1125, 2021	71	2021
Application of satellite remote sensing for mapping wind erosion risk and dust emission‐deposition in Inner Mongolia grassland, China M Reiche, R Funk, Z Zhang, C Hoffmann, J Reiche, M Wehrhan, Y Li, ... Grassland Science 58 (1), 8-19, 2012	56	2012
Using space-time features to improve detection of forest disturbances from Landsat time series E Hamunyela, J Reiche, J Verbesselt, M Herold Remote Sensing 9 (6), 515, 2017	33	2017
Monitoring direct drivers of small-scale tropical forest disturbance in near real-time with Sentinel-1 and-2 data B Slagter, J Reiche, D Marcos, A Mullissa, E Lossou, M Peña-Claros, ... Remote Sensing of Environment 295, 113655, 2023	31	2023
Mapping the diversity of land uses following deforestation across Africa RN Masolele, D Marcos, V De Sy, IO Abu, J Verbesselt, J Reiche, ... Scientific Reports 14 (1), 1681, 2024	30	2024
Despeckling polarimetric SAR data using a multistream complex-valued fully convolutional network AG Mullissa, C Persello, J Reiche IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021	27	2021

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