BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-it-2023//speaker//KUPVTE
BEGIN:VTIMEZONE
TZID:GMT
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:GMT
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:BST
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-it-2023-VKCTN3@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230612T144500
DTEND;TZID=GMT:20230612T150000
DESCRIPTION:According to sustainable agriculture best practices\, efficient
  use of scarce water resources is mandatory for both a marketing objective
  and an environmental obligation. This implies that in the agricultural pr
 oduction\, which is intensive and should at the same time be environmental
 ly friendly\, soil moisture is a key parameter to be constantly monitored.
  In addition\, soil moisture plays a crucial role in plant development\, h
 uman development as well as global cycles of various substances. It serves
  as an essential input variable for various scientific analyses ranging fr
 om hydrological modeling\, forecasting of floods and groundwater movement 
 to the modeling of global water fluxes. \n\nInformation about soil moistur
 e can be obtained from in field measurements taken\, for instance\, using 
 point sensors [1] that provide detailed point-like information. An alterna
 tive approach to field measurements is to use measurements remotely sensed
  from satellite-borne instruments. Both optical and microwave radiation ex
 hibit sensitivity to soil moisture\, with the optical remote sensing being
  limited to clear sky conditions and affected by solar illumination [2]. M
 icrowave radiation\, on the other side\, is largely unaffected by weather 
 conditions and guarantees all-day observations. Among the microwave remote
  sensing instruments\, the Synthetic Aperture Radar (SAR)\, i.e.\, a micro
 wave imaging radar\, is very promising to soil moisture retrieval on a spa
 tial scale fine enough to be used for sustainable agriculture purposes.\n\
 nTo retrieve soil moisture from microwave remotely sensed data\, the key i
 ssue is de-coupling surface roughness from dielectric constant. Within thi
 s context\, two different approaches are widely used: a) physical modellin
 g and b) empirical methods. A promising approach which is both physically 
 sound and computer-time effective was proposed in [3] which consists of us
 ing dense time-series of SAR measurements to decouple surface geometric ef
 fects (plants growth stage\, etc.) from dielectric properties. The underpi
 nning idea is that plant appearance will not change drastically from one i
 mage to another if the time series is dense enough\, hence variation in th
 e dielectric properties are sorted out. Once the permittivity is estimate\
 , the soil moisture can be retrieved using an empirical approach\, e.g.\, 
 [4]. \n\nA mandatory step to design an operational processing chain to ret
 rieve soil moisture using [3] is sorting out built-up areas\, vegetation\,
  high-slope terrains\, etc. In this study\, a polarimetric processing chai
 n is proposed that\, starting from dual—polarized SAR measurements\, is 
 able:\n1.	To sort out built-up areas using reflection symmetry\, i.e.\, a 
 property that is satisfied by natural scenes but is not present in man-mad
 e targets. This property manifest itself in the inter-channel correlation\
 , i.e.\, the correlation between co- and cross-polarized channels that is 
 low in case of natural targets and large over built-up areas [5].\n2.	To s
 ort out vegetated areas using eigenvalue decomposition parameters\, i.e.\,
  the polarimetric entropy and the mean alpha angle\, to partition the pola
 rimetric space to identify vegetated regions according to their peculiar p
 olarimetric response.\n3.	The digital elevation model (DEM) to identify ar
 ea calling for steep slopes.\n\nThe proposed processing chain will be show
 cased on actual SAR measurements acquired by Sentinel-1 over two areas of 
 interest\, namely the Campania and the Sardinia regions. In the Campania r
 egion\, the test case includes ground information about soil moisture coll
 ected by a ground station provided by Netcom Group S.p.A. First experiment
 al results show the soundness of the proposed processing chain that result
 s in accurate enough estimations with a remarkable computer-time effective
 ness.\n\nReferences\n\n[1] Lekshmi SU S\, Singh DN & Shojaei Baghini M 201
 4. A critical review of soil moisture measurement. Measurement 54\, 92-105
 . doi:10.1016/j.measurement.2014.04.007\n\n[2] Gao\, B.-C. 1996. NDWI - A 
 normalized difference water index for remote sensing of vegetation liquid\
 nwater from space. Remote Sensing of Environment 58: 257-266.\n\n[3] Balen
 zano\, A.\, Mattia\, F.\, Satalino\, G.\, Davidson\, M.W.J.\, 2011. Dense 
 temporal series of C- and L-band SAR data for soil moisture retrieval over
  agricultural crops. IEEE J.Sel. Top. Appl. Earth Obs. Remote Sens. 439–
 450\n\n[4] Hallikainen\, M.T.\, Ulaby\, F.T.\, Dobson\, M.C.\, El-rayes\, 
 M.A.\, Wu\, L.\, 1985. Microwave dielectric behavior of wet soil-Part II: 
 Dielectric Mixing Models. IEEE Trans. Geosci. Remote Sensing GE-23 ge-23\,
  35–45\n\n[5] F. Nunziata\, M. Migliaccio and C.E. Brown\, “Reflection
  symmetry for polarimetric observation of man-made metallic targets at sea
 \,” IEEE Journal of Oceanic Engineering\, vol.37\, no.3\, pp.384-394\, 2
 012.
DTSTAMP:20260517T180746Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:A dual-polarimetric SAR processing chain for soil moisture retrieva
 l - Anna Verlanti
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/VKCTN3/
END:VEVENT
END:VCALENDAR