Review of valuation methods for mangrove ecosystem services QT Vo, C Künzer, QM Vo, F Moder, N Oppelt Ecological indicators 23, 431-446, 2012 | 446 | 2012 |
Remote sensing for lake research and monitoring - recent advances K Dörnhöfer, N Oppelt Ecological Indicators 64, 105-122, 2016 | 429 | 2016 |
Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach N Pahlevan, B Smith, J Schalles, C Binding, Z Cao, R Ma, K Alikas, ... Remote Sensing of Environment 240, 111604, 2020 | 375 | 2020 |
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters N Pahlevan, A Mangin, SV Balasubramanian, B Smith, K Alikas, K Arai, ... Remote Sensing of Environment 258, 112366, 2021 | 207 | 2021 |
Remote sensing in mapping mangrove ecosystems—An object-based approach QT Vo, N Oppelt, P Leinenkugel, C Kuenzer Remote sensing 5 (1), 183-201, 2013 | 202 | 2013 |
Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data N Oppelt, W Mauser International Journal of Remote Sensing 25 (1), 145-159, 2004 | 184 | 2004 |
Remote sensing of snow cover using spaceborne SAR: A review YLS Tsai, A Dietz, N Oppelt, C Kuenzer Remote Sensing 11 (12), 1456, 2019 | 169 | 2019 |
Land-use/land-cover change analysis and urban growth modelling in the Greater Accra Metropolitan Area (GAMA), Ghana B Addae, N Oppelt Urban Science 3 (1), 26, 2019 | 168 | 2019 |
Overview of the MOSAiC expedition: Snow and sea ice M Nicolaus, DK Perovich, G Spreen, MA Granskog, L von Albedyll, ... Elem Sci Anth 10 (1), 000046, 2022 | 160 | 2022 |
Water constituents and water depth retrieval from Sentinel-2A—A first evaluation in an oligotrophic lake K Dörnhöfer, A Göritz, P Gege, B Pflug, N Oppelt Remote Sensing 8 (11), 941, 2016 | 130 | 2016 |
How remote sensing supports mangrove ecosystem service valuation: A case study in Ca Mau province, Vietnam. TQ Vo, C Kuenzer, N Oppelt Ecosystem Services 14, 67-75, 2015 | 106 | 2015 |
Development of a grid‐based version of the SWAT landscape model H Rathjens, N Oppelt, DD Bosch, JG Arnold, M Volk Hydrological Processes 29 (6), 900-914, 2015 | 105 | 2015 |
Characterisation of land surface phenology and land cover based on moderate resolution satellite data in cloud prone areas—A novel product for the Mekong Basin P Leinenkugel, C Kuenzer, N Oppelt, S Dech Remote sensing of environment 136, 180-198, 2013 | 93 | 2013 |
Multi-sensor satellite and in situ monitoring of phytoplankton development in a eutrophic-mesotrophic lake K Dörnhöfer, P Klinger, T Heege, N Oppelt Science of The Total Environment 612, 1200-1214, 2018 | 87 | 2018 |
Wet and dry snow detection using Sentinel-1 SAR data for mountainous areas with a machine learning technique YLS Tsai, A Dietz, N Oppelt, C Kuenzer Remote Sensing 11 (8), 895, 2019 | 79 | 2019 |
Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking A Taravat, S Proud, S Peronaci, F Del Frate, N Oppelt Remote Sensing 7 (2), 1529-1539, 2015 | 78 | 2015 |
Assessing forest cover dynamics and forest perception in the Atlantic Forest of Paraguay, combining remote sensing and household level data E Da Ponte, B Mack, C Wohlfart, O Rodas, M Fleckenstein, N Oppelt, ... Forests 8 (10), 389, 2017 | 65 | 2017 |
Extracting agricultural fields from remote sensing imagery using graph-based growing contours MP Wagner, N Oppelt Remote sensing 12 (7), 1205, 2020 | 56 | 2020 |
Automatic grassland cutting status detection in the context of spatiotemporal Sentinel-1 imagery analysis and artificial neural networks A Taravat, MP Wagner, N Oppelt Remote Sensing 11 (6), 711, 2019 | 53 | 2019 |
SWATgrid: An interface for setting up SWAT in a grid-based discretization scheme H Rathjens, N Oppelt Computers & geosciences 45, 161-167, 2012 | 53 | 2012 |