Water stress detection in the Amazon using radar
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Nick van de Giesen | Tim van Emmerik | Susan Steele-Dunne | Rafael S. Oliveira | N. Giesen | S. Steele‐Dunne | T. Emmerik | F. Barros | P.R.L. Bittencourt | Paulo R. L. Bittencourt | Fernanda de V. Barros | A. Paget | R. Oliveira | Aaron Paget
[1] S. Ganguly,et al. Amazon forests did not green‐up during the 2005 drought , 2009 .
[2] J. Terborgh,et al. Drought Sensitivity of the Amazon Rainforest , 2009, Science.
[3] Susan C. Steele-Dunne,et al. Diurnal Differences in Global ERS Scatterometer Backscatter Observations of the Land Surface , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[4] E. M. Bracalente,et al. σ° Signature of the Amazon Rain Forest Obtained from the Seasat Scatterometer , 1982, IEEE Transactions on Geoscience and Remote Sensing.
[5] E. Nikinmaa,et al. Time lags for xylem and stem diameter variations in a Scots pine tree , 2002 .
[6] Fawwaz T. Ulaby,et al. Effects of Vegetation Cover on the Radar Sensitivity to Soil Moisture , 1982, IEEE Transactions on Geoscience and Remote Sensing.
[7] T. Hsiao,et al. Plant responses to water deficits, water-use efficiency, and drought resistance , 1974 .
[8] Nick van de Giesen,et al. Dielectric Response of Corn Leaves to Water Stress , 2017, IEEE Geoscience and Remote Sensing Letters.
[9] U. Zimmermann,et al. Concomitant dendrometer and leaf patch pressure probe measurements reveal the effect of microclimate and soil moisture on diurnal stem water and leaf turgor variations in young oak trees. , 2012, Functional plant biology : FPB.
[10] Jan Friesen,et al. Regional vegetation water effects on satellite soil moisture estimations for West Africa , 2008 .
[11] Bryan W. Stiles,et al. Trends and Variation in Ku-Band Backscatter of Natural Targets on Land Observed in QuikSCAT Data , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[12] Thomas Appel,et al. Plant Water Relationships , 2001 .
[13] Susan C. Steele-Dunne,et al. Using Diurnal Variation in Backscatter to Detect Vegetation Water Stress , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[14] R. Zweifel,et al. Modeling tree water deficit from microclimate: an approach to quantifying drought stress. , 2005, Tree physiology.
[15] João Paulo Ramos Teixeira,et al. Remote sensing of drought: Progress, challenges and opportunities , 2015 .
[16] S. Saatchi,et al. Active microwave observations of diurnal and seasonal variations of canopy water content across the humid African tropical forests , 2017 .
[17] Characteristics of Magnetic Tapes Used for Seismic Exploration , 1963 .
[18] R. Dickinson,et al. Seasonal changes in leaf area of Amazon forests from leaf flushing and abscission , 2011 .
[19] E. Nikinmaa,et al. Linking xylem diameter variations with sap flow measurements , 2008, Plant and Soil.
[20] R. Zweifel,et al. Link between diurnal stem radius changes and tree water relations. , 2001, Tree physiology.
[21] R. Nemani,et al. Persistent effects of a severe drought on Amazonian forest canopy , 2012, Proceedings of the National Academy of Sciences.
[22] John S. Selker,et al. Measuring Tree Properties and Responses Using Low-Cost Accelerometers , 2017, Sensors.
[23] J. V. Soares,et al. Distribution of aboveground live biomass in the Amazon basin , 2007 .
[24] Susan C. Steele-Dunne,et al. Impact of Diurnal Variation in Vegetation Water Content on Radar Backscatter From Maize During Water Stress , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[25] Tim E. Jupp,et al. Increasing risk of Amazonian drought due to decreasing aerosol pollution , 2008 .
[26] Victor M. Cooley. Unique Offerings of the ISS as an Earth Observing Platform , 2013 .
[27] E. Nikinmaa,et al. Modeling the dynamics of pressure propagation and diameter variation in tree sapwood. , 2005, Tree physiology.
[28] H. Hanado,et al. Diurnal change of Amazon rain forest /spl sigma//sup 0/ observed by Ku-band spaceborne radar , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[29] Richard B. Lammers,et al. Tropical forest backscatter anomaly evident in SeaWinds scatterometer morning overpass data during 2005 drought in Amazonia , 2010 .
[30] David G. Long,et al. RapidScat Diurnal Cycles Over Land , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[31] Nick van de Giesen,et al. A comparison between leaf dielectric properties of stressed and unstressed tomato plants , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[32] A. Huete,et al. Amazon Forests Green-Up During 2005 Drought , 2007, Science.
[33] David G. Long,et al. Calibration and Validation of the RapidScat Scatterometer Using Tropical Rainforests , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[34] David J. Harding,et al. Amazon forests maintain consistent canopy structure and greenness during the dry season , 2014, Nature.
[35] A. Nardini,et al. Plasticity in leaf‐level water relations of tropical rainforest trees in response to experimental drought , 2016, The New phytologist.
[36] C. Tucker,et al. Vegetation dynamics and rainfall sensitivity of the Amazon , 2014, Proceedings of the National Academy of Sciences.
[37] A. Huete,et al. Amazon rainforests green‐up with sunlight in dry season , 2006 .
[38] N. Holbrook,et al. Effects of the hydraulic coupling between xylem and phloem on diurnal phloem diameter variation. , 2011, Plant, cell & environment.
[39] William J. Davies,et al. Integration of hydraulic and chemical signalling in the control of stomatal conductance and water status of droughted plants , 1993 .
[40] Neill Prohaska,et al. Leaf flush drives dry season green-up of the Central Amazon , 2016 .
[41] G. Asner,et al. Drought impacts on the Amazon forest: the remote sensing perspective. , 2010, The New phytologist.
[42] Fawwaz T. Ulaby,et al. Relating the microwave backscattering coefficient to leaf area index , 1984 .