An ESTARFM Fusion Framework for the Generation of Large-Scale Time Series in Cloud-Prone and Heterogeneous Landscapes
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Rasmus Fensholt | Claudia Kuenzer | Ursula Gessner | Kim Knauer | R. Fensholt | U. Gessner | C. Kuenzer | K. Knauer
[1] Rasmus Fensholt,et al. Assessing Land Degradation/Recovery in the African Sahel from Long-Term Earth Observation Based Primary Productivity and Precipitation Relationships , 2013, Remote. Sens..
[2] Mathew R. Schwaller,et al. On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[3] Maguelonne Teisseire,et al. Evaluation of fusion methods for crop monitoring purposes , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[4] Desheng Liu,et al. Blending MODIS and Landsat images for urban flood mapping , 2014 .
[5] Julius T. Tou,et al. Pattern Recognition Principles , 1974 .
[6] Rob J Hyndman,et al. Detecting trend and seasonal changes in satellite image time series , 2010 .
[7] K. Beurs,et al. Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data , 2014 .
[8] U. Gessner,et al. Field and simulation experiments for investigating regional land – atmosphere interactions in West Africa : experimental set-up and first results , 2013 .
[9] Danny Lo Seen,et al. How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes? , 2014, Remote. Sens..
[10] Rasmus Fensholt,et al. Comparisons of compositing period length for vegetation index data from polar-orbiting and geostationary satellites for the cloud-prone region of West Africa , 2007 .
[11] Zhe Zhu,et al. Object-based cloud and cloud shadow detection in Landsat imagery , 2012 .
[12] Abdollah A. Jarihani,et al. Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of "Index-then-Blend" and "Blend-then-Index" Approaches , 2014, Remote. Sens..
[13] Claudia Künzer,et al. Remote sensing of vegetation dynamics in West Africa , 2014 .
[14] Eric F. Vermote,et al. Correction of MODIS surface reflectance time series for BRDF effects , 2012 .
[15] G. Powell,et al. Terrestrial Ecoregions of the World: A New Map of Life on Earth , 2001 .
[16] K. Beurs,et al. Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology , 2012 .
[17] Stefan Dech,et al. Multi-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data , 2015 .
[18] Danny Lo Seen,et al. Crop area mapping in West Africa using landscape stratification of MODIS time series and comparison with existing global land products , 2012, Int. J. Appl. Earth Obs. Geoinformation.
[19] Xiaolin Zhu,et al. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions , 2010 .
[20] V. Caselles,et al. Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain. , 2015, Journal of environmental management.
[21] Peijuan Wang,et al. Fusing Landsat and MODIS Data for Vegetation Monitoring , 2015, IEEE Geoscience and Remote Sensing Magazine.
[22] Peijuan Wang,et al. Integrating remote sensing data from multiple optical sensors for ecological and crop condition monitoring , 2013, Optics & Photonics - Optical Engineering + Applications.
[23] Stefan Dech,et al. Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire , 2015 .
[24] Jan Verbesselt,et al. Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia , 2015 .
[25] Martin Brandt,et al. Ground‐ and satellite‐based evidence of the biophysical mechanisms behind the greening Sahel , 2015, Global change biology.
[26] Michael A. Lefsky,et al. A flexible spatiotemporal method for fusing satellite images with different resolutions , 2016 .
[27] Randolph H. Wynne,et al. Phenological Response of an Arizona Dryland Forest to Short-Term Climatic Extremes , 2015, Remote. Sens..
[28] K. Moffett,et al. Remote Sens , 2015 .
[29] Tim R. McVicar,et al. Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection , 2013 .
[30] L. Amekudzi,et al. Carbon dioxide fluxes from contrasting ecosystems in the Sudanian Savanna in West Africa , 2015, Carbon Balance and Management.
[31] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .
[32] Thomas Hilker,et al. An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model , 2013, Remote. Sens..
[33] Gerald Forkour. Agricultural Land Use Mapping in West Africa Using Multi-sensor Satellite Imagery , 2014 .
[34] Bin Chen,et al. Comparison of Spatiotemporal Fusion Models: A Review , 2015, Remote. Sens..
[35] Yi Huang,et al. Mapping and Evaluation of NDVI Trends from Synthetic Time Series Obtained by Blending Landsat and MODIS Data around a Coalfield on the Loess Plateau , 2013, Remote. Sens..
[36] Olena Dubovyk,et al. Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa , 2015, Remote. Sens..
[37] R. Fensholt,et al. Assessment of MODIS sun-sensor geometry variations effect on observed NDVI using MSG SEVIRI geostationary data , 2010 .