Spatial Downscaling of Passive Microwave Data With Visible-to-Infrared Information for High-Resolution Soil Moisture Mapping
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[1] I. Sandholt,et al. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status , 2002 .
[2] S. Ustin,et al. Development of angle indexes for soil moisture estimation, dry matter detection and land-cover discrimination , 2007 .
[3] T. Carlson,et al. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover , 1994 .
[4] Adriano Camps,et al. A sensitivity study of land surface temperature to soil moisture using in-situ and spaceborne observations , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[5] Yann Kerr,et al. SMOS: The Challenging Sea Surface Salinity Measurement From Space , 2010, Proceedings of the IEEE.
[6] Adriano Camps,et al. Airborne soil moisture determination using a data fusion approach at regional level , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[7] Hongjie Xie,et al. Estimating root zone soil moisture at distant sites using MODIS NDVI and EVI in a semi-arid region of southwestern USA , 2010, Ecol. Informatics.
[8] Adriano Camps,et al. Review of the CALIMAS Team Contributions to European Space Agency's Soil Moisture and Ocean Salinity Mission Calibration and Validation , 2012, Remote. Sens..
[9] Eric F. Lambin,et al. The surface temperature-vegetation index space for land cover and land-cover change analysis , 1996 .
[10] Wenjiang Huang,et al. A method of estimating soil moisture based on the linear decomposition of mixture pixels , 2013, Math. Comput. Model..
[11] Adriano Camps,et al. Hyperspectral Optical, Thermal, and Microwave L-Band Observations For Soil Moisture Retrieval at Very High Spatial Resolution , 2014 .
[12] J. Adegoke,et al. Relations between Soil Moisture and Satellite Vegetation Indices in the U.S. Corn Belt , 2002 .
[13] W. Verstraeten,et al. Soil moisture retrieval using thermal inertia, determined with visible and thermal spaceborne data, validated for European forests , 2006 .
[14] Philippe Richaume,et al. Disaggregation of SMOS Soil Moisture in Southeastern Australia , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[15] Alberto Alonso Arroyo,et al. On the Synergy of Airborne GNSS-R and Landsat 8 for Soil Moisture Estimation , 2015, Remote. Sens..
[16] Raul Onrubia Ibáñez,et al. The light airborne reflectometer for GNSS-R observations (LARGO) instrument: Initial results from airborne and Rover field campaigns , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[17] Terri S. Hogue,et al. Improving Spatial Soil Moisture Representation Through Integration of AMSR-E and MODIS Products , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[18] A. Al Bitar,et al. An improved algorithm for disaggregating microwave-derived soil moisture based on red, near-infrared and thermal-infrared data , 2010 .
[19] M. Ashton,et al. Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications , 2004 .
[20] M. Piles,et al. Comparing surface-soil moisture from the SMOS mission and the ORCHIDEE land-surface model over the Iberian Peninsula , 2016 .
[21] S. Sánchez-Ruiz,et al. Combining SMOS with visible and near/shortwave/thermal infrared satellite data for high resolution soil moisture estimates , 2014 .
[22] Yann Kerr,et al. Downscaling SMOS-Derived Soil Moisture Using MODIS Visible/Infrared Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[23] Adriano Camps,et al. Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monitoring Purposes , 2010, Remote. Sens..
[24] George P. Petropoulos,et al. Towards improved spatio-temporal resolution soil moisture retrievals from the synergy of SMOS and MSG SEVIRI spaceborne observations , 2016 .
[25] Ahmad Al Bitar,et al. Retrieval and Multi-scale Validation of Soil Moisture from Multi-temporal SAR Data in a Semi-Arid Tropical Region , 2015, Remote. Sens..
[26] Adriano Camps,et al. A Downscaling Approach for SMOS Land Observations: Evaluation of High-Resolution Soil Moisture Maps Over the Iberian Peninsula , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[27] T. Carlson. An Overview of the “Triangle Method” for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery , 2007, Sensors (Basel, Switzerland).
[28] T. Jackson,et al. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands , 2005 .
[29] Ad Stoffelen,et al. Extended triple collocation: Estimating errors and correlation coefficients with respect to an unknown target , 2014 .
[30] S. Nicholson,et al. The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana. I. NDVI response to rainfall , 1994 .
[31] S. Ustin,et al. Predicting water content using Gaussian model on soil spectra , 2004 .
[32] S. Miller,et al. Spaceborne soil moisture estimation at high resolution: a microwave-optical/IR synergistic approach , 2003 .
[33] Jiancheng Shi,et al. The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.
[34] B. Fang,et al. Soil moisture at watershed scale: Remote sensing techniques , 2014 .
[35] Yoann Malbéteau,et al. Performance Metrics for Soil Moisture Downscaling Methods: Application to DISPATCH Data in Central Morocco , 2015, Remote. Sens..
[36] Michael P. Finn,et al. Remote Sensing of Soil Moisture Using Airborne Hyperspectral Data , 2011 .
[37] Minha Choi,et al. A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products , 2012 .
[38] Adriano Camps,et al. A downscaling approach to combine SMOS multi-angular and full-polarimetric observations with MODIS VIS/IR data into high resolution soil moisture maps , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.
[39] Adriano Camps,et al. Low soil moisture and high temperatures as indicators for forest fire occurrence and extent across the Iberian Peninsula , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[40] M. S. Moran,et al. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index , 1994 .
[41] Adriano Camps,et al. SMOS and climate data applicability for analyzing forest decline and forest fires , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[42] Sébastien Lambot,et al. DIGISOIL: an integrated system of date collection technologies for mapping soil properties , 2008 .
[43] Ahmad Al Bitar,et al. Self-calibrated evaporation-based disaggregation of SMOS soil moisture: An evaluation study at 3 km and 100 m resolution in Catalunya, Spain , 2013 .
[44] Yann Kerr,et al. The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle , 2010, Proceedings of the IEEE.
[45] Randall Rose,et al. CYGNSS: NASA Earth Venture Tropical Cyclone Mission , 2014, SPIE Remote Sensing.
[46] J. Sobrino,et al. A method to estimate soil moisture from Airborne Hyperspectral Scanner (AHS) and ASTER data: Application to SEN2FLEX and SEN3EXP campaigns , 2012 .
[47] G. Petropoulos,et al. A review of Ts/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture , 2009 .
[48] D. Lobell,et al. Moisture effects on soil reflectance , 2002 .
[49] Dara Entekhabi,et al. An Algorithm for Merging SMAP Radiometer and Radar Data for High-Resolution Soil-Moisture Retrieval , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[50] Elizabeth M. Middleton,et al. Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterization and Discrimination of Crop Types Using Field Reflectance and Hyperion/EO-1 Data , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[51] Ahmad Al Bitar,et al. Copula-Based Downscaling of Coarse-Scale Soil Moisture Observations With Implicit Bias Correction , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[52] Hongjie Xie,et al. Different responses of MODIS-derived NDVI to root-zone soil moisture in semi-arid and humid regions , 2007 .
[53] Yann Kerr,et al. A disaggregation scheme for soil moisture based on topography and soil depth , 2003 .
[54] R. Fensholt,et al. Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment , 2003 .
[55] Yann Kerr,et al. A combined modeling and multispectral/multiresolution remote sensing approach for disaggregation of surface soil moisture: application to SMOS configuration , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[56] Adriano Camps,et al. On the synergy of SMOS and Terra/Aqua MODIS: High resolution soil moisture maps in near real-time , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.
[57] N. Lu,et al. Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia , 2013 .