Water stress detection in the Amazon using radar

The Amazon rainforest plays an important role in the global water and carbon cycle, and though it is predicted to continue drying in the future, the effect of drought remains uncertain. Developments in remote sensing missions now facilitate large-scale observations. The RapidScat scatterometer (Ku band) mounted on the International Space Station observes the Earth in a non-Sun-synchronous orbit, which allows for studying changes in the diurnal cycle of radar backscatter over the Amazon. Diurnal cycles in backscatter are significantly affected by the state of the canopy, especially during periods of increased water stress. We use RapidScat backscatter time series and water deficit measurements from dendrometers in 20 trees during a 9 month period to relate variations in backscatter to increased tree water deficit. Morning radar bacskcatter dropped significantly with increased tree water deficit measured with dendrometers. This provides unique observational evidence that demonstrates the sensitivity of radar backscatter to vegetation water stress, highlighting the potential of drought detection and monitoring using radar.

[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 .