Climate change, phenology, and phenological control of vegetation feedbacks to the climate system, Agric. For. Meteorol, vol.169, pp.156-173, 2013. ,
Rapid shifts in plant distribution with recent climate change, Proc. Natl. Acad. Sci, vol.105, pp.11823-11826, 2008. ,
Three decades of multi-dimensional change in global leaf phenology, Nat. Clim. Chang, vol.5, pp.364-368, 2015. ,
Abrupt shifts in phenology and vegetation productivity under climate extremes, J. Geophys. Res. Biogeosci, vol.120, pp.2036-2052, 2015. ,
Satellite-based model detection of recent climate-driven changes in northern high-latitude vegetation productivity, J. Geophys. Res. Biogeosci, vol.113, 2008. ,
Vegetation productivity patterns at high northern latitudes: A multi-sensor satellite data assessment, Glob. Chang. Biol, vol.20, pp.3147-3158, 2014. ,
Plants in a warmer world, Perspect. Plant Ecol. Evol. Syst, vol.6, pp.169-185, 2004. ,
Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change, Glob. Ecol. Biogeogr, vol.19, pp.755-768, 2010. ,
Differential tree mortality in response to severe drought: Evidence for long-term vegetation shifts, J. Ecol, vol.93, pp.1085-1093, 2005. ,
Atmospheric CO 2 forces abrupt vegetation shifts locally, but not globally, Nature, vol.488, pp.209-212, 2012. ,
Vegetation greening in the canadian arctic related to decadal warming, J. Environ. Monit, vol.11, pp.2231-2238, 2009. ,
Leaf onset in the northern hemisphere triggered by daytime temperature, Nat. Commun, vol.6, pp.1-8, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01806233
Response of seasonal vegetation development to climatic variations in eastern central Asia, Remote Sens. Environ, vol.87, pp.42-54, 2003. ,
, Science, vol.323, pp.1344-1347, 2009.
The 2010 Amazon drought, Science, vol.331, 2011. ,
Shifts in Arctic vegetation and associated feedbacks under climate change, Nat. Clim. Chang, vol.3, pp.673-677, 2013. ,
Climate change effects on vegetation distribution and carbon budget in the United States, Ecosystems, vol.4, pp.164-185, 2001. ,
Response of vegetation distribution, ecosystem productivity, and fire to climate change scenarios for California, vol.87, pp.215-230, 2007. ,
Red and photographic infrared linear combinations for monitoring vegetation, Remote Sens. Environ, vol.8, pp.127-150, 1979. ,
, Remote Sens, vol.12, pp.2915-2940, 2020.
Development of vegetation and soil indices for MODIS-EOS. Remote Sens. Environ, vol.49, pp.224-234, 1994. ,
Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999, J. Geophys. Res. Atmos, vol.106, 2001. ,
Global monitoring of interannual changes in vegetation activities using NDVI and its relationships to temperature and precipitation, Int. J. Remote Sens, vol.22, pp.1377-1382, 2001. ,
Monitoring vegetation phenology using MODIS, Remote Sens. Environ, vol.84, pp.471-475, 2003. ,
Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI, Remote Sens. Environ, vol.100, pp.321-334, 2006. ,
Trends in ndvi time series and their relation to rangeland and crop production in senegal, Int. J. Remote Sens, vol.19, 1987. ,
Relations between NDVI and tree productivity in the central Great Plains, Int. J. Remote Sens, vol.25, pp.3127-3138, 2004. ,
Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains, Int. J. Remote Sens, vol.22, pp.3827-3844, 2001. ,
On the relation between NDVI, fractional vegetation cover, and leaf area index, Remote Sens. Environ, vol.62, pp.241-252, 1997. ,
On the relationship of NDVI with leaf area index in a deciduous forest site, Remote Sens. Environ, vol.94, pp.244-255, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-02680581
Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types, Ecol. Appl, vol.5, pp.28-41, 1995. ,
A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover, Remote Sens. Rev, vol.9, pp.161-173, 1994. ,
Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series, Remote Sens. Environ, vol.86, pp.1-18, 2003. ,
A global 9-yr biophysical land surface dataset from NOAA AVHRR data, J. Hydrometeorol, vol.1, pp.183-199, 2000. ,
Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data, Remote Sens. Environ, vol.83, pp.214-231, 2002. ,
European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset, Int. J. Remote Sens, vol.25, pp.3303-3330, 2004. ,
Evaluation of MODIS NPP and GPP products across multiple biomes, Remote Sens. Environ, vol.102, pp.282-292, 2006. ,
Analysis of leaf area index and fraction of PAR absorbed by vegetation products from the terra MODIS sensor, IEEE Trans. Geosci. Remote Sens, vol.44, pp.1829-1841, 2000. ,
Expected Performances of the Copernicus Imaging Microwave Radiometer (CIMR) for an All-Weather and High Spatial Resolution Estimation of Ocean and Sea Ice Parameters, J. Geophys. Res. Ocean, vol.123, pp.7564-7580, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01934679
ASAR-Envisat's Advanced Synthetic Aperture Radar-Building on ERS achievements towards future earth watch missions, ESA Bull, vol.102, pp.91-100, 2000. ,
, Remote Sens, vol.12, pp.2915-2941, 2020.
Operational performance of the ALOS global systematic acquisition strategy and observation plans for ALOS-2 PALSAR-2. Remote Sens. Environ, vol.155, pp.3-12, 2014. ,
Macro to micro: Microwave remote sensing of plant water content for physiology and ecology, New Phytol, vol.223, pp.1166-1172, 2019. ,
Microwave Radar and Radiometric Remote Sensing, 2014. ,
Vegetation modeled as a water cloud, Radio Sci, vol.13, pp.357-364, 1978. ,
Dielectric Model of the Vegetation Effects on the Microwave Emission from Soils, IEEE Trans. Geosci. Remote Sens, vol.30, pp.757-760, 1992. ,
Microwave Remote Sensing: Active and Passive. Volume III: From Theory to Applications, 1986. ,
Monitoring vegetation using nimbus-7 scanning multichannel microwave radiometer's data, Int. J. Remote Sens, vol.8, pp.533-538, 1987. ,
Monitoring coniferous forest characteristics using a multifrequency (5-90 GHz) microwave radiometer, Remote Sens. Environ, vol.60, pp.299-310, 1997. ,
URL : https://hal.archives-ouvertes.fr/hal-02696899
Estimation of canopy water content in Konza Prairie grasslands using synthetic aperture radar measurements during FIFE, J. Geophys. Res, vol.100, pp.25481-25496, 1995. ,
Estimation of crown and stem water content and biomass of boreal forest using polarimetric SAR imagery, IEEE Trans. Geosci. Remote Sens, vol.38, pp.697-709, 2000. ,
Synergic use of Sentinel-1 and Sentinel-2 images for operational soil moisture mapping at high spatial resolution over agricultural areas ,
URL : https://hal.archives-ouvertes.fr/hal-01737156
Inversion of surface parameters from passive microwave measurements over a soybean field, Remote Sens. Environ, vol.46, pp.61-72, 1993. ,
URL : https://hal.archives-ouvertes.fr/hal-02702533
Simulated and observed 37 GHZ emission over Africa, Int. J. Remote Sens, vol.11, pp.1837-1868, 1990. ,
Radar-based forest biomass estimation, Int. J. Remote Sens, vol.15, pp.2797-2808, 1994. ,
Radar Estimates of Aboveground Biomass in Boreal Forests of Interior Alaska, IEEE Trans. Geosci. Remote Sens, vol.32, pp.1117-1124, 1994. ,
Dependence of Radar Backscatter on Coniferous Forest Biomass, IEEE Trans. Geosci. Remote Sens, vol.30, pp.412-415, 1992. ,
Evaluation of ALOS/PALSAR L-Band Data for the Estimation of Eucalyptus Plantations Aboveground Biomass in Brazil, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.8, pp.3802-3811, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01496753
Passive low frequency microwaves: Principles, radiative transfer, physics of measurements. In Microwave Remote Sensing of Land Surface, pp.219-283, 2016. ,
Using satellite scatterometers to monitor continental surfaces, Land Surface Remote Sensing in Continental Hydrology, pp.79-113, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-02880250
Global changes in dryland vegetation dynamics (1988-2008) assessed by satellite remote sensing: Comparing a new passive microwave vegetation density record with reflective greenness data, Biogeosciences, vol.10, pp.6657-6676, 2013. ,
Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau, Sci. Total Environ, pp.730-743, 2018. ,
Passive microwave remote sensing of soil moisture, J. Hydrol, vol.184, pp.101-129, 1996. ,
Handbook of Radar Scattering Statistics for Terrain, vol.1, p.890063362, 1989. ,
A model for microwave emission from vegetation-covered fields, J. Geophys. Res, vol.87, pp.11229-11237, 1982. ,
, Remote Sens, vol.12, pp.2915-2942, 2020.
Effects of Vegetation Cover on the Radar Sensitivity to Soil Moisture, IEEE Trans. Geosci. Remote Sens, vol.20, pp.476-481, 1982. ,
Characterization of higher-order scattering from vegetation with SMAP measurements, Remote Sens. Environ, vol.219, pp.324-338, 2018. ,
Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms. Remote Sens, vol.192, pp.238-262, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01608643
Simulating L-Band Emission of Coniferous Forests Using a Discrete Model and a Detailed Geometrical Representation, IEEE Geosci. Remote Sens. Lett, vol.3, pp.364-368, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-02658090
Modeling forest emissivity at L-band and a comparison with multitemporal measurements, IEEE Geosci. Remote Sens. Lett, vol.4, pp.508-512, 2007. ,
Passive microwave remote sensing of forests: A model investigation, IEEE Trans. Geosci. Remote Sens, vol.34, pp.433-443, 1996. ,
Simulating L-band emission of forests in view of future satellite applications, IEEE Trans. Geosci. Remote Sens, vol.40, pp.2700-2708, 2002. ,
URL : https://hal.archives-ouvertes.fr/hal-02673164
Tau-Omega"-and Two-Stream Emission Models Used for Passive L-Band Retrievals: Application to Close-Range Measurements over a Forest, Remote Sens, vol.10, 1868. ,
Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models ,
URL : https://hal.archives-ouvertes.fr/hal-02619460
Relating the microwave backscattering coefficient to leaf area index, Remote Sens. Environ, vol.14, pp.113-133, 1984. ,
Interpretation of ASCAT Radar Scatterometer Observations Over Land: A Case Study Over Southwestern France ,
Assimilation of global radar backscatter and radiometer brightness temperature observations to improve soil moisture and land evaporation estimates. Remote Sens, vol.189, pp.194-210, 2017. ,
Soil surface moisture estimation over a semi-arid region using ENVISAT ASAR radar data for soil evaporation evaluation, Hydrol. Earth Syst. Sci, vol.15, pp.345-358, 2011. ,
URL : https://hal.archives-ouvertes.fr/ird-00610514
Calibration of the Water Cloud Model at C-Band for winter crop fields and grasslands ,
URL : https://hal.archives-ouvertes.fr/hal-01735644
Soil moisture retrieval over agricultural fields from multi-polarized and multi-angular RADARSAT-2 SAR data, Remote Sens. Environ, vol.115, pp.33-43, 2011. ,
The effect of leaf size on the microwave backscattering by corn, Remote Sens. Environ, vol.19, pp.81-95, 1986. ,
Estimating surface soil moisture and leaf area index of a wheat canopy using a dual-frequency (C and X bands) scatterometer. Remote Sens, vol.46, pp.331-339, 1993. ,
Estimation des paramètres de végétation dans un modèle de nuage utilisant un algorithme génétique, Hydrol. Sci. J, vol.57, pp.776-789, 2012. ,
Inferring the effect of plant and soil variables on C-and L-band SAR backscatter over agricultural fields, based on model analysis, Adv. Space Res, vol.39, pp.139-148, 2007. ,
A global satellite environmental data record derived from AMSR-E and AMSR2 microwave Earth observations, Earth Syst. Sci. Data, vol.9, pp.791-808, 2017. ,
Daily Global Land Surface Parameters Derived from AMSR-E, Version 1, 2012. ,
An extended global Earth system data record on daily landscape freeze-thaw status determined from satellite passive microwave remote sensing, Earth Syst. Sci. Data, vol.9, pp.133-147, 2017. ,
, Remote Sens, vol.12, pp.2915-2943, 2020.
Passive Microwave Remote Sensing of Soil Moisture Based on Dynamic Vegetation Scattering Properties for AMSR-E, IEEE Trans. Geosci. Remote Sens, vol.54, pp.597-608, 2016. ,
Remote monitoring of soil moisture using passive microwave-based techniques-Theoretical basis and overview of selected algorithms for AMSR-E. Remote Sens. Environ, vol.144, pp.197-213, 2014. ,
, , 2020.
Global long-term passive microwave satellite-based retrievals of vegetation optical depth, Geophys. Res. Lett, p.38, 2011. ,
Multisensor historical climatology of satellite-derived global land surface moisture, J. Geophys. Res. Earth Surf, vol.113, 2008. ,
Further validation of a new methodology for surface moisture and vegetation optical depth retrieval, Int. J. Remote Sens, vol.24, pp.4559-4578, 2003. ,
A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index, IEEE Trans. Geosci. Remote Sens, vol.39, pp.1643-1654, 2001. ,
, , 2020.
The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA), Earth Syst. Sci, vol.2020, pp.177-196 ,
A Methodology to Determine Radio-Frequency Interference in AMSR2 Observations, IEEE Trans. Geosci. Remote Sens, vol.53, pp.5148-5159, 2015. ,
ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. Remote Sens, vol.203, pp.185-215, 2017. ,
Land surface temperature from Ka band (37 GHz) passive microwave observations, J. Geophys. Res. Atmos, vol.114, 2009. ,
, The Global Long-Term Microwave Vegetation Optical Depth Climate Archive VODCA, 2020.
SMOS-IC: An alternative SMOS soil moisture and vegetation optical depth product ,
URL : https://hal.archives-ouvertes.fr/hal-02787798
L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields. Remote Sens. Environ, vol.107, pp.639-655, 2007. ,
URL : https://hal.archives-ouvertes.fr/insu-00387991
Two-dimensional microwave interferometer retrieval capabilities over land surfaces (SMOS Mission), Données SMOS (CATDS). Available online, vol.73, p.27, 2000. ,
URL : https://hal.archives-ouvertes.fr/hal-01645055
, INRAE BORDEAUX Soil Moisture and VOD PRODUCTS-Soil Moisture and Vegetation Products, 2020.
The SMOS soil moisture retrieval algorithm, IEEE Trans. Geosci. Remote Sens, vol.50, pp.1384-1403, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00677899
The global SMOS Level 3 daily soil moisture and brightness temperature maps, Earth Syst. Sci. Data, vol.9, pp.293-315, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01602625
Mitigation of RFIS for SMOS: A distributed approach, IEEE Trans. Geosci. Remote Sens, vol.52, pp.7470-7479, 2014. ,
Impact of Direct Solar Radiations Seen by the Back-Lobes Antenna Patterns of SMOS on the Retrieved Images, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.10, pp.3079-3086, 2017. ,
, Remote Sens, vol.12, pp.2915-2944, 2020.
, , p.27, 2020.
Assessment of the SMAP Passive Soil Moisture Product, IEEE Trans. Geosci. Remote Sens, vol.54, pp.4994-5007, 2016. ,
Development and assessment of the SMAP enhanced passive soil moisture product, Remote Sens. Environ, vol.204, pp.931-941, 2018. ,
Radio-frequency interference mitigation for the soil moisture active passive microwave radiometer, IEEE Trans. Geosci. Remote Sens, vol.52, pp.761-775, 2014. ,
Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz, IEEE Trans. Geosci. Remote Sens, vol.37, pp.79-93, 1999. ,
Improved SMAP Dual-Channel Algorithm for the Retrieval of Soil Moisture, IEEE Trans. Geosci. Remote Sens, vol.58, pp.3894-3905, 2020. ,
Evaluating the semiempirical H-Q model used to calculate the l-band emissivity of a rough bare soil, IEEE Trans. Geosci. Remote Sens, vol.51, pp.4075-4084, 2013. ,
, , 2020.
L-band vegetation optical depth and effective scattering albedo estimation from SMAP. Remote Sens, vol.198, pp.460-470, 2017. ,
Vegetation optical depth and scattering albedo retrieval using time series of dual-polarized L-band radiometer observations, Remote Sens. Environ, vol.172, pp.178-189, 2016. ,
, , 2020.
Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval, IEEE Trans. Geosci. Remote Sens, vol.54, pp.3513-3531, 2016. ,
Assessing Vegetation Dynamics Over Mainland Australia with Metop ASCAT, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.10, pp.2240-2248, 2017. ,
Passive microwave sensing of soil moisture under vegetation canopies, Water Resour. Res, vol.18, pp.1137-1142, 1982. ,
Vegetation effects on the microwave emission of soils, Remote Sens. Environ, vol.36, pp.203-212, 1991. ,
Microwave radiation of the earth's surface in the presence of vegetation cover, Radiotekhnika Elektron, vol.24, pp.256-264, 1979. ,
Relating the X-band opacity of a tropical tree canopy to sapflow, rain interception and dew formation, Remote Sens. Environ, vol.115, pp.2116-2125, 2011. ,
Investigating temporal variations in vegetation water content derived from SMOS optical depth, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), pp.3331-3334, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-02748892
Microwave transmissivity of a forest canopy: Experiments made with a beech, Remote Sens. Environ, vol.48, pp.172-180, 1994. ,
Characterizing the Dependence of Vegetation Model Parameters on Crop Structure, Incidence Angle, and Polarization at L-Band, IEEE Trans. Geosci. Remote Sens, vol.42, pp.416-425, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-02678334
L-band radiometer measurements of soil water under growing clover grass, IEEE Trans. Geosci. Remote Sens, vol.43, pp.2225-2236, 2005. ,
FOSMEX: Forest soil moisture experiments with microwave radiometry, IEEE Trans. Geosci. Remote Sens, vol.46, pp.727-735, 2008. ,
, Remote Sens, vol.12, p.2915, 2020.
Microwave Emission and Plant Water Content: A Comparison between Field Measurements and Theory, IEEE Trans. Geosci. Remote Sens, vol.24, pp.900-905, 1986. ,
Microwave vegetation indexes for detecting biomass and water conditions of agricultural crops, Remote Sens. Environ, vol.40, pp.15-26, 1992. ,
Modeling the multifrequency emission of broadleaf forests and their components, IEEE Trans. Geosci. Remote Sens, vol.48, pp.270-272, 2010. ,
Airborne multifrequency L-to Ka-band radiometric measurements over forests, IEEE Trans. Geosci. Remote Sens, vol.39, pp.2507-2513, 2001. ,
Satellite passive microwave remote sensing for monitoring global land surface phenology, Remote Sens. Environ, vol.115, pp.1102-1114, 2011. ,
Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: A comparison to higher frequencies and optical indices ,
Determination of microwave vegetation optical depth and single scattering albedo from large scale soil moisture and nimbus/smmr satellite observations, Int. J. Remote Sens, vol.14, pp.1875-1886, 1993. ,
An analysis of spatiotemporal variations of soil and vegetation moisture from a 29-year satellite-derived data set over mainland Australia, Water Resour. Res, vol.45, 2009. ,
Global land cover mapping from MODIS: Algorithms and early results, Remote Sens. Environ, vol.83, pp.287-302, 2002. ,
NDWI A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space. Remote Sens. Environ, vol.7212, pp.257-266, 1996. ,
Comparison of SMOS and AMSR-E vegetation optical depth to four MODIS-based vegetation indices, Remote Sens. Environ, vol.172, pp.87-100, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01595414
Comparison between SMOS Vegetation Optical Depth products and MODIS vegetation indices over crop zones of the USA, Remote Sens. Environ, vol.140, pp.396-406, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-02636019
Fayad, I. First vegetation optical depth mapping from Sentinel-1 C-band SAR data over crop fields ,
Recent reversal in loss of global terrestrial biomass, Nat. Clim. Chang, vol.5, pp.470-474, 2015. ,
An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: High sensitivity of L-VOD to above-ground biomass in Africa, Biogeosciences, vol.15, pp.4627-4645, 2018. ,
Benchmark map of forest carbon stocks in tropical regions across three continents, Proc. Natl. Acad. Sci, vol.108, pp.9899-9904, 2011. ,
Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps, Nat. Clim. Chang, vol.2, pp.182-185, 2012. ,
An integrated pan-tropical biomass map using multiple reference datasets, Glob. Chang. Biol, vol.22, pp.1406-1420, 2016. ,
An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR, Remote Sens. Environ, vol.206, pp.156-173, 2018. ,
, Remote Sens, vol.12, p.2915, 2020.
Remote sensing of vegetation dynamics in drylands: Evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ green biomass data over West African Sahel, Remote Sens. Environ, vol.177, pp.265-276, 2016. ,
Satellite passive microwaves reveal recent climate-induced carbon losses in African drylands, Nat. Ecol. Evol, vol.2, pp.827-835, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01806711
SMOS retrieval results over forests: Comparisons with independent measurements, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.7, pp.3858-3866, 2014. ,
SMOS retrieval over forests: Exploitation of optical depth and tests of soil moisture estimates, Remote Sens. Environ, vol.180, pp.115-127, 2016. ,
Simultaneous retrieval of global scale Vegetation Optical Depth, surface roughness, and soil moisture using X-band AMSR-E observations ,
Interacting Effects of Leaf Water Potential and Biomass on Vegetation Optical Depth, J. Geophys. Res. Biogeosci, vol.122, pp.3031-3046, 2017. ,
Microwave vegetation indices for short vegetation covers from satellite passive microwave sensor AMSR-E. Remote Sens. Environ, vol.112, pp.4285-4300, 2008. ,
Using diurnal variation in backscatter to detect vegetation water stress, IEEE Trans. Geosci. Remote Sens, vol.50, pp.2618-2629, 2012. ,
Global vegetation biomass change (1988-2008) and attribution to environmental and human drivers, Glob. Ecol. Biogeogr, vol.22, pp.692-705, 2013. ,
Saizen, I. Changing Climate and Overgrazing Are Decimating Mongolian Steppes, PLoS ONE, vol.8, 2013. ,
Evaluation of microwave remote sensing for monitoring live fuel moisture content in the Mediterranean region, Remote Sens. Environ, vol.205, pp.210-223, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02623728
Annual South American forest loss estimates based on passive microwave remote sensing, Biogeosciences, vol.13, pp.609-624, 1990. ,
Retrieving soil moisture and agricultural variables by microwave radiometry using neural networks, Remote Sens. Environ, vol.84, pp.174-183, 2003. ,
Remote sensing of vegetation dynamics in agro-ecosystems using smap vegetation optical depth and optical vegetation indices, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), pp.4346-4349, 2017. ,
L-band vegetation optical depth seasonal metrics for crop yield assessment, Remote Sens. Environ, vol.212, pp.249-259, 2018. ,
SMOS optical thickness changes in response to the growth and development of crops, crop management, and weather, Remote Sens. Environ, vol.180, pp.320-333, 2016. ,
Initial validation of SMOS vegetation optical thickness in Iowa, IEEE Geosci. Remote Sens. Lett, vol.10, pp.647-651, 2013. ,
Satellite L-band vegetation optical depth is directly proportional to crop water in the US Corn Belt ,
Impact of Diurnal Variation in Vegetation Water Content on Radar Backscatter from Maize During Water Stress, IEEE Trans. Geosci. Remote Sens, vol.53, pp.3855-3869, 2015. ,
Satellite-observed pantropical carbon dynamics, Nat. Plants, vol.5, pp.944-951, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02403129
, Remote Sens, vol.12, p.2915, 2020.
Tropical forests did not recover from the strong 2015-2016 El Niño event ,
Assessing the relationship between microwave vegetation optical depth and gross primary production, Int. J. Appl. Earth Obs. Geoinf, vol.65, pp.79-91, 2018. ,
A carbon sink-driven approach to estimate gross primary production from microwave satellite observations, Remote Sens. Environ, vol.229, pp.100-113, 2019. ,
Climate, soil, and vegetation: 1. Introduction to water balance dynamics, Water Resour. Res, vol.14, pp.705-712, 1978. ,
Climatic control of vegetation distribution: The role of the water balance, Am. Nat, vol.135, pp.649-670, 1990. ,
A model for predicting continental-scale vegetation distribution and water balance, Ecol. Appl, vol.5, pp.362-385, 1995. ,
Climate and vegetation water use efficiency at catchment scales Effects of Climate Variability on Water Balance Dynamics: Role of Vegetation, vol.23, pp.2409-2414, 2009. ,
Using a modeling approach to predict soil hydraulic properties from passive microwave measurements, IEEE Trans. Geosci. Remote Sens, vol.36, pp.454-462, 1998. ,
Global soil moisture from satellite observations, land surface models, and ground data: Implications for data assimilation, J. Hydrometeorol, vol.5, pp.430-442, 2004. ,
Analysis of SMOS brightness temperature and vegetation optical depth data with coupled land surface and radiative transfer models in Southern Germany, Hydrol. Earth Syst. Sci, vol.16, pp.3517-3533, 2012. ,
GLEAM v3: Satellite-based land evaporation and root-zone soil moisture, Geosci. Model Dev, vol.10, pp.1903-1925, 2017. ,
Satellite passive microwave detection of North America start of season, Remote Sens. Environ, vol.123, pp.324-333, 2012. ,
Terrestrial hydrological controls on land surface phenology of African savannas and woodlands, J. Geophys. Res. G Biogeosci, vol.119, pp.1652-1669, 2014. ,
Satellite microwave detection of boreal forest recovery from the extreme 2004 wildfires in Alaska and Canada, Glob. Chang. Biol, vol.19, pp.3111-3122, 2013. ,
Asynchronous Amazon forest canopy phenology indicates adaptation to both water and light availability, Environ. Res. Lett, vol.9, 2014. ,
Coupling of ecosystem-scale plant water storage and leaf phenology observed by satellite, Nat. Ecol. Evol, vol.2, pp.1428-1435, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02403104
Global variations in ecosystem-scale isohydricity, Glob. Chang. Biol, vol.23, pp.891-905, 2017. ,
Vegetation optical depth at L-band and above ground biomass in the tropical range: Evaluating their relationships at continental and regional scales, Int. J. Appl. Earth Obs. Geoinf, vol.77, pp.151-161, 2019. ,
Develoment and validation of the SMOS-IC version soil moisture product, Proceedings of the IEEE IGARSS 2020, pp.19-24, 2020. ,
Global inundation dynamics inferred from multiple satellite observations, J. Geophys. Res. Atmos, vol.112, 1993. ,
Changes in land surface water dynamics since the 1990s and relation to population pressure, Geophys. Res. Lett, p.39, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00991314
, Remote Sens, vol.12, p.2915, 2020.
Mapping dynamic water fraction under the tropical rain forests of the Amazonian basin from SMOS brightness temperatures, vol.9, p.350, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01602588
High resolution mapping of inundation area in the Amazon basin from a combination of L-band passive microwave, optical and radar datasets, Int. J. Appl. Earth Obs. Geoinf, vol.81, pp.58-71, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02181073
Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite ,
Spatio-temporal evaluation of resolution enhancement for passive microwave soil moisture and vegetation optical depth, Int. J. Appl. Earth Obs. Geoinf, vol.45, pp.235-244, 2016. ,
Microwave Dielectric Spectrum of Vegetation-Part II: Dual-Dispersion Model, GE-25, pp.550-557, 1987. ,
SWIM: The First Spaceborne Wave Scatterometer, IEEE Trans. Geosci. Remote Sens, vol.55, pp.3000-3014, 2017. ,
URL : https://hal.archives-ouvertes.fr/insu-01456490
Overview of the CFOSAT mission, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), pp.10-15, 2016. ,
URL : https://hal.archives-ouvertes.fr/insu-01406008
Spaceborne altimetry and scatterometry backscattering signatures at C-and Ku-bands over West Africa, Remote Sens. Environ, vol.159, pp.117-133, 2015. ,
Radar altimetry backscattering signatures at Ka, Ku, C, and S bands over West Africa, Phys. Chem. Earth, pp.96-110, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01414511
An ERS-2 altimetry reprocessing compatible with ENVISAT for long-term land and ice sheets studies, Remote Sens. Environ, vol.184, pp.558-581, 2016. ,
Backscattering signatures at ka, ku, c and s bands from low resolution radar altimetry over land, Adv. Space Res, 2020. ,
Estimating surface soil moisture over Sahel using ENVISAT radar altimetry. Remote Sens, vol.123, pp.496-507, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00743876
The Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Quality Assessment and Unique Characteristics of AltiKa Data, Remote Sens, vol.10, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01852702
, GMES Sentinel-1 mission. Remote Sens. Environ, vol.120, pp.9-24, 2012.
Estimation of active-passive microwave covariation using SMAP and Sentinel-1 data, Remote Sens. Environ, vol.225, pp.458-468, 2019. ,
Applications of GNSS-R in Continental Hydrology. In Land Surface Remote Sensing in Continental Hydrology, 2016. ,
Use of reflected GNSS SNR data to retrieve either soil moisture or vegetation height from a wheat crop, Hydrol. Earth Syst. Sci, vol.21, pp.4767-4784, 2017. ,
Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in southwestern France, Hydrol. Earth Syst. Sci, vol.22, pp.1931-1946, 2018. ,
Airborne GNSS-R polarimetric measurements for soil moisture and above-ground biomass estimation, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.7, pp.1522-1532, 2014. ,
, Remote Sens, vol.12, p.2915, 2020.
Results from the GLORIE GNSS-R airborne campaign: Agricultural areas, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), pp.4106-4109, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-02735726
Biomass Estimation Over Tropical Rainforests Using GNSS-R On-Board the CyGNSS Microsatellites Constellation, Proceedings of the IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019. ,
, This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, © 2020 by the authors. Licensee MDPI