| Assessing drought probability for agricultural areas in Africa with coarse resolution remote sensing imagery O Rojas, A Vrieling, F Rembold Remote sensing of Environment 115 (2), 343-352, 2011 | 375 | 2011 |
| Using low resolution satellite imagery for yield prediction and yield anomaly detection F Rembold, C Atzberger, I Savin, O Rojas Remote Sensing 5 (4), 1704-1733, 2013 | 347 | 2013 |
| A comparison of global agricultural monitoring systems and current gaps S Fritz, L See, JCL Bayas, F Waldner, D Jacques, I Becker-Reshef, ... Agricultural systems 168, 258-272, 2019 | 274 | 2019 |
| Comparison of global and regional land cover maps with statistical information for the agricultural domain in Africa S Fritz, L See, F Rembold International Journal of Remote Sensing 31 (9), 2237-2256, 2010 | 161 | 2010 |
| Comparison of global land cover datasets for cropland monitoring A Pérez-Hoyos, F Rembold, H Kerdiles, J Gallego Remote Sensing 9 (11), 1118, 2017 | 158 | 2017 |
| Image time series processing for agriculture monitoring H Eerens, D Haesen, F Rembold, F Urbano, C Tote, L Bydekerke Environmental Modelling & Software 53, 154-162, 2014 | 128 | 2014 |
| ASAP: A new global early warning system to detect anomaly hot spots of agricultural production for food security analysis F Rembold, M Meroni, F Urbano, G Csak, H Kerdiles, A Perez-Hoyos, ... Agricultural systems 168, 247-257, 2019 | 117 | 2019 |
| Use of aerial photographs, Landsat TM imagery and multidisciplinary field survey for land-cover change analysis in the lakes region (Ethiopia) F Rembold, S Carnicelli, M Nori, GA Ferrari International Journal of Applied Earth Observation and Geoinformation 2 (3-4 …, 2000 | 105 | 2000 |
| Analysis of GAC NDVI data for cropland identification and yield forecasting in Mediterranean African countries F MASELLI, F Rembold Photogrammetric Engineering and Remote Sensing 67 (5), 593-602, 2001 | 103 | 2001 |
| Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and-2 M Meroni, R d'Andrimont, A Vrieling, D Fasbender, G Lemoine, ... Remote sensing of environment 253, 112232, 2021 | 96 | 2021 |
| Mapping the spatial distribution of winter crops at sub-pixel level using AVHRR NDVI time series and neural nets C Atzberger, F Rembold Remote Sensing 5 (3), 1335-1354, 2013 | 90 | 2013 |
| Historical extension of operational NDVI products for livestock insurance in Kenya A Vrieling, M Meroni, A Shee, AG Mude, J Woodard, CK de Bie, ... International Journal of Applied Earth Observation and Geoinformation 28 …, 2014 | 79 | 2014 |
| Near real-time vegetation anomaly detection with MODIS NDVI: Timeliness vs. accuracy and effect of anomaly computation options M Meroni, D Fasbender, F Rembold, C Atzberger, A Klisch Remote sensing of environment 221, 508-521, 2019 | 77 | 2019 |
| Strengthening agricultural decisions in countries at risk of food insecurity: The GEOGLAM Crop Monitor for Early Warning I Becker-Reshef, C Justice, B Barker, M Humber, F Rembold, R Bonifacio, ... Remote Sensing of Environment 237, 111553, 2020 | 76 | 2020 |
| A phenology-based method to derive biomass production anomalies for food security monitoring in the Horn of Africa M Meroni, MM Verstraete, F Rembold, F Urbano, F Kayitakire International Journal of Remote Sensing 35 (7), 2472-2492, 2014 | 73 | 2014 |
| Mapping charcoal driven forest degradation during the main period of Al Shabaab control in Southern Somalia F Rembold, SM Oduori, H Gadain, P Toselli Energy for Sustainable Development 17 (5), 510-514, 2013 | 56 | 2013 |
| Rapid mapping and impact estimation of illegal charcoal production in southern Somalia based on WorldView-1 imagery M Bolognesi, A Vrieling, F Rembold, H Gadain Energy for sustainable development 25, 40-49, 2015 | 52 | 2015 |
| Investigating the relationship between the inter-annual variability of satellite-derived vegetation phenology and a proxy of biomass production in the Sahel M Meroni, F Rembold, MM Verstraete, R Gommes, A Schucknecht, ... Remote Sensing 6 (6), 5868-5884, 2014 | 51 | 2014 |
| The use of MODIS data to derive acreage estimations for larger fields: A case study in the south-western Rostov region of Russia S Fritz, M Massart, I Savin, J Gallego, F Rembold International Journal of Applied Earth Observation and Geoinformation 10 (4 …, 2008 | 51 | 2008 |
| Yield forecasting with machine learning and small data: What gains for grains? M Meroni, F Waldner, L Seguini, H Kerdiles, F Rembold Agricultural and Forest Meteorology 308, 108555, 2021 | 49 | 2021 |
