A new approach for biocrust and vegetation monitoring in drylands using multi-temporal Sentinel-2 images

Drylands, one of the planet’s largest terrestrial biomes, are suggested to be greatly threatened by climate change. Drylands are usually sparsely vegetated, and biological soil crusts (biocrusts) – that is, soil surface communities of cyanobacteria, mosses and/or lichens – can cover up to 70% of dryland cover. As they control key ecosystem processes, monitoring their spatial and temporal distribution can provide highly valuable information. In this study, we examine the potential of European Space Agency’s (ESA) Sentinel-2 (S2) data to characterize the spatial and temporal development of biocrust and vascular plant greening along a rainfall gradient of the Negev Desert (Israel). First, the chlorophyll a absorption feature in the red region (CRred) was identified as the index mostly sensitive to changes in biocrust greening but minimally affected by changes in soil moisture. This index was then computed on the S2 images and enabled monitoring the phenological dynamics of different dryland vegetation components from August 2015 to August 2017. The analysis of multi-temporal S2 images allowed us to successfully track the biocrust greening within 15 days from the first seasonal rain events in the north of Negev, and to identify the maximum development of annual vascular plants and greening of perennial ones. These results show potential for monitoring arid and semi-arid environments using the newly available S2 images, allowing new insights into dryland vegetation dynamics.

[1]  Offer Rozenstein,et al.  Identification and characterization of Biological Soil Crusts in a sand dune desert environment across Israel–Egypt border using LWIR emittance spectroscopy , 2015 .

[2]  J. Belnap,et al.  Vulnerability of desert biological soil crusts to wind erosion: the influences of crust development, soil texture, and disturbance , 1998 .

[3]  P. Groffman,et al.  Litter as a regulator of N and C dynamics in macrophytic patches in Negev desert soils , 1996 .

[4]  Bernhard Mayer,et al.  Atmospheric Chemistry and Physics Technical Note: the Libradtran Software Package for Radiative Transfer Calculations – Description and Examples of Use , 2022 .

[5]  J. Belnap,et al.  Biological Soil Crusts as Soil Stabilizers , 2016 .

[6]  Jayne Belnap,et al.  DISTURBANCE OF BIOLOGICAL SOIL CRUSTS: IMPACTS ON POTENTIAL WIND ERODIBILITY OF SANDY DESERT SOILS IN SOUTHEASTERN UTAH , 1997 .

[7]  P. Levelt,et al.  ESA's sentinel missions in support of Earth system science , 2012 .

[8]  J. Belnap.  The potential roles of biological soil crusts in dryland hydrologic cycles , 2006 .

[9]  J. Belnap,et al.  The Role of Biocrusts in Arid Land Hydrology , 2016 .

[10]  Matthias Drusch,et al.  Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .

[11]  Arnon Karnieli,et al.  Natural vegetation phenology assessment by ground spectral measurements in two semi-arid environments , 2003, International journal of biometeorology.

[12]  A. Kaplan,et al.  Three-dimensional structure and cyanobacterial activity within a desert biological soil crust. , 2016, Environmental microbiology.

[13]  J. Hill,et al.  A new approach for mapping of Biological Soil Crusts in semidesert areas with hyperspectral imagery , 2008 .

[14]  Lukas W. Lehnert,et al.  Estimating Net Photosynthesis of Biological Soil Crusts in the Atacama Using Hyperspectral Remote Sensing , 2018, Remote. Sens..

[15]  Bettina Weber,et al.  Biomass assessment of microbial surface communities by means of hyperspectral remote sensing data. , 2017, The Science of the total environment.

[16]  Paula Escribano,et al.  Advanced image processing methods as a tool to map and quantify different types of biological soil crust , 2014 .

[17]  J. Hill,et al.  Remote Sensing of Biological Soil Crusts at Different Scales , 2016 .

[18]  A. Karnieli,et al.  Applying a field spectroscopy technique for assessing successional trends of biological soil crusts in a semi-arid environment , 2007 .

[19]  T. Painter,et al.  Albedo feedbacks to future climate via climate change impacts on dryland biocrusts , 2017, Scientific Reports.

[20]  R. Clark,et al.  Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications , 1984 .

[21]  Offer Rozenstein,et al.  A review of progress in identifying and characterizing biocrusts using proximal and remote sensing , 2017, Int. J. Appl. Earth Obs. Geoinformation.

[22]  F. Garcia-Pichel,et al.  Microbiology: Cyanobacteria track water in desert soils , 2001, Nature.

[23]  A. Karnieli,et al.  Spectral reflectance of biogenic crust developed on desert dune sand along the Israel-Egypt border , 1995 .

[24]  Bettina Weber,et al.  Biological Soil Crusts: An Organizing Principle in Drylands , 2016, Ecological Studies.

[25]  Bettina Weber,et al.  Importance of biocrusts in dryland monitoring using spectral indices , 2015 .

[26]  Bettina Weber,et al.  Transferability of multi- and hyperspectral optical biocrust indices , 2017 .

[27]  B. Weber,et al.  Patterns and Controls on Nitrogen Cycling of Biological Soil Crusts , 2016 .

[28]  Zhihao Qin,et al.  Quantitative estimation of land cover structure in an arid region across the Israel-Egypt border using remote sensing data , 2006 .

[29]  Arnon Karnieli,et al.  Development and implementation of spectral crust index over dune sands , 1997 .

[30]  Masayuki Tamura,et al.  A new index for mapping lichen-dominated biological soil crusts in desert areas , 2005 .

[31]  Philippe Lagacherie,et al.  Continuum removal versus PLSR method for clay and calcium carbonate content estimation from laboratory and airborne hyperspectral measurements , 2008 .

[32]  Ehud Meron,et al.  Woody Species as Landscape Modulators and Their Effect on Biodiversity Patterns , 2008 .

[33]  A. Karnieli,et al.  The effect of microphytes on the spectral reflectance of vegetation in semiarid regions , 1996 .

[34]  P. Groffman,et al.  Soil carbon content along a rainfall gradient and inhibition of germination: a potential mechanism for regulating distribution of Plantago coronopus , 1999 .

[35]  Arnon Karnieli,et al.  Temporal dynamics of soil and vegetation spectral responses in a semi-arid environment , 2002 .

[36]  Michael Hamilton,et al.  Use of a Networked Digital Camera to Estimate Net CO2 Uptake of a Desiccation‐Tolerant Moss , 2006, International Journal of Plant Sciences.

[37]  E. Zaady,et al.  The germination of mucilaginous seeds of t Plantago coronopus, Reboudia pinnata, and t Carrichtera annua on cyanobacterial soil crust from the Negev Desert , 1997, Plant and Soil.

[38]  Arnon Karnieli,et al.  Relationships between Normalized Difference Vegetation Index (NDVI) and carbon fluxes of biologic soil crusts assessed by ground measurements , 2006 .

[39]  P. Groffman,et al.  High N2O emissions in dry ecosystems , 2013 .

[40]  F. Maestre,et al.  Plant spatial patterns identify alternative ecosystem multifunctionality states in global drylands , 2017, Nature Ecology &Evolution.

[41]  B. Wesemael,et al.  Discriminating soil crust type, development stage and degree of disturbance in semiarid environments from their spectral characteristics , 2012 .

[42]  Eyal Ben-Dor,et al.  Spectral Characteristics of Cyanobacteria Soil Crust in Semiarid Environments , 1999 .

[43]  A. Karnieli,et al.  Ground and space spectral measurements for assessing the semi-arid ecosystem phenology related to CO2 fluxes of biological soil crusts , 2006 .

[44]  Sasha C. Reed,et al.  Biocrusts in the Context of Global Change , 2016 .

[45]  Micol Rossini,et al.  A novel hyperspectral system for high resolution imaging of ice cores: Application to light-absorbing impurities and ice structure , 2018, Cold Regions Science and Technology.