ANALYSIS OF THE PRODUCTS OF THE
COPERNICUS GROUND MOTION SERVICE
M. C ose o 1, *, L. Sola i 1, A. Ba a 1, O. Monse a 1, M. Cue as-González, R. Palamà 1,
Y. Wassie 1, S. Shahbazi 1, S.M. Mi mazloumi 1, B. C ippa 2, M. M óz 3
1 Cen e Tecnològic de Telecomunicacions de Ca alunya (CTTC/CERCA), Geoma ics Di ision, A . Gauss, 7,
E-08860 Cas ellde els (Ba celona), Spain, mc ose o@c c.ca , lsola i@c c.ca , aba a@c c.ca , omonse a @c c.ca ,
mcue as@c c.ca , palama@c c.ca , ywassie@c c.ca , sshahbazi@c c.ca , sm.mi mazloumi@c c.ca
2 Dep . o Geophysics, Uni e si y o Milan, Via Cicogna a 7, I-20129 Milan, I aly - b uno.c
[email protected]
9 Ins i u e o Geodesy and Ci il Enginee ing, Uni e si y o Wa mia and Mazu y in Olsz yn, 10-719 Olsz yn, Poland -
ma ek.m
[email protected]
KEY WORDS: SAR, Pe sis en Sca e e In e e ome y, Cope nicus, Eu opean G ound Mo ion Se ice
ABSTRACT:
Rada in e e ome y has p og essed e y much in he las wo decades. I is now a powe ul emo e sensing echniques o moni o
g ound mo ion. The echnique has unde gone an impo an de elopmen in e ms o p ocessing and da a analysis algo i hms. This
has been accompanied by an impo an inc ease o he Syn he ic Ape u e Rada (SAR) da a acquisi ion capabili y by spacebo ne
senso s. A s ep o wa d was he launch o he Cope nicus Sen inel-1 cons ella ion. This has made he de elopmen o A-DInSAR
(Ad anced Di e en ial In e e ome ic SAR) g ound de o ma ion se ices echnically easible. The pape is ocused on he mos
impo an g ound mo ion ini ia i e e e concei ed: he Eu opean G ound Mo ion Se ice (EGMS). This se ice is pa o he
Cope nicus Land Moni o ing Se ice managed by he Eu opean En i onmen Agency. EGMS in ol es he g ound de o ma ion
moni o ing a Eu opean scale. The se ice will deli e he i s p oduc in May 2022. In his pape we desc ibe some p elimina y
examples o de o ma ion p oduc s coming om he EGMS.
* Co esponding au ho
1. INTRODUCTION
This pape is ocused on ada in e e ome y, a powe ul ac i e
emo e sensing echnique o moni o g ound mo ion. In
pa icula , i conside s Ad anced Di e en ial In e e ome ic
Syn he ic Ape u e Rada (A-DInSAR), which includes a class
o ad anced echniques based on s acks o in e e ome ic SAR
images. A-DInSAR has unde gone an impo an de elopmen in
e ms o p ocessing and da a analysis. This has been
accompanied by an impo an inc ease o he SAR da a
acquisi ion capabili y by spacebo ne senso s. This in pa icula
conce ns he Sen inel-1 cons ella ion. No e ha a he ime o
w i ing his pape , only one Sen inel-1 senso is a ailable: he
o he one is cu en ly ou o se ice. Ano he impo an aspec is
he inc ease in he compu a ional capabili ies, which is key o
pe o m A-DInSAR analyses o e wide a eas. The e o e, he
wide-a ea A-DInSAR de o ma ion moni o ing is echnically
easible. Fo a gene al e iew o A-DInSAR, see C ose o e al.
(2016). A desc ip ion o he i s A-DInSAR echnique is
p o ided in Fe e i e al. (2000; 2001).
In Eu ope, a na ional and egional le el, he wide-a ea A-
DInSAR de o ma ion moni o ing has been al eady
demons a ed in se e al cases. The i s G ound Mo ion Se ice
(GMS) co e ed I aly using da a om he senso s ERS-1/2,
En isa and CosmoSkyMed, see Cos an ini e al. (2017). This
was ollowed by No way in 2018, wi h a GMS based on
Sen inel-1 da a, see NGU (2022).
Ge many launched i s GMS a he end o 2019, see Kalia e al.
(2020). In I aly, h ee egions ha e al eady implemen ed a GMS
ocused on he ea ly de ec ion o ab up mo ion changes, see
Raspini e al. (2018); Sola i e al. (2019); and Del Solda o e al.
(2019). O he I alian egions will ollow soon, see Come ci and
Vi o i (2019). GMSs a e ope a ional in Denma k and The
Ne he lands as well. O he coun ies a e discussing he need o
such se ices.
This pape is ocused on de o ma ion moni o ing a Eu opean
scale, and in pa icula he de elopmen o a new se ice ha is
pa o he Cope nicus Land Moni o ing Se ice: he Eu opean
G ound Mo ion Se ice (EGMS). In o ma ion on he EGMS
can be ound in C ose o e al. (2020) and EGMS (2022).
The EGMS is pa o Cope nicus, he Eu opean Union's Ea h
obse a ion p og amme (h ps://www.cope nicus.eu/en), and is
implemen ed by he Eu opean En i onmen Agency (EEA). The
key cha ac e is ics o he se ice we e de ined by he EGMS
Task Fo ce and a e desc ibed in he EGMS Whi e Pape (EGMS
Task Fo ce, 2017). In 2019, a speci ic wo king g oup was
commissioned by EEA o de ail he EGMS echnical
speci ica ions (La sen e al., 2020). The EGMS p oduc ion is
ongoing, and i is ca ied ou by he conso ium “ORIGINAL -
OpeRa Ional G ound mo ion INsa Alliance” composed o ou
Eu opean companies, e-GEOS, TRE-Al ami a, NORCE, GAF,
and i e subcon ac o s. The p ocessing is spli be ween he
di e en companies ha ope a e hei own p ocessing chains.
The o e laps be ween adjacen scenes will be used o ensu e
seamless ha moniza ion be ween p oduc ion chains.
The EGMS aims o p o ide consis en , upda ed, s anda dized,
ha monized ac oss na ional bo de s and eliable in o ma ion
ega ding g ound mo ion phenomena o na u al and
an h opogenic o igins, o e Eu ope. The g ound mo ion will be
es ima ed using A-DInSAR echniques and ull esolu ion
Sen inel-1 SAR da a. The se ice will use all he a ailable
acquisi ions, om bo h ascending and descending passes.
3
The In e na ional A chi es o he Pho og amme y, Remo e Sensing and Spa ial In o ma ion Sciences, Volume XLIII-B3-2022
XXIV ISPRS Cong ess (2022 edi ion), 6–11 June 2022, Nice, F ance
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257
The Se ice will co e he 30 Cope nicus Pa icipa ing S a es,
see Figu e 1. The EGMS p oduc ion will include a baseline
p oduc , which will be based on a chi e da a, co e ing he
pe iod om 2015 up o he end o 2020. This will be ollowed
by upda es, deli e ed e e y 12 mon hs.
The p ocessing will in ol e abou 750 Sen inel-1 SAR scenes.
The baseline p oduc will make use o abou 260 SAR scenes
o each p ocessed s ack. The numbe o SAR scenes will be
educed o he egions sys ema ically a ec ed by seasonal
snow co e . In ac , he p ocessing will be limi ed o he snow-
ee scenes.
The Se ice will include h ee ypes o p oduc s. The ela ion
be ween hese p oduc s is illus a ed in Figu e 1.
The simples p oduc is he so-called Basic P oduc . I is de i ed
by p ocessing independen ly he SAR ames, whe e each ame
has an independen e e ence o he de o ma ion
measu emen s. The e o e, i will be deli e ed by ames o he
o iginal 750 scenes. This p oduc will be gene a ed using he
Sen inel-1 image y p ocessed a ull esolu ion. The Basic
P oduc will include he de o ma ion eloci y and de o ma ion
ime se ies measu ed in he Line-O -Sigh (LOS) di ec ion. This
p oduc is simila o he A-DInSAR p oduc s ha a e usually
gene a ed by he di e en A-DInSAR echniques. I will be
sui able o s udy local de o ma ion phenomena.
The second p oduc is he so-called Calib a ed P oduc . Wi h
espec o he p e ious one, i ep esen s a mo e elabo a ed
p oduc . In ac , in EGMS Calib a ed, he A-DInSAR esul s o
EGMS Basic a e mosaicked and used wi h da a coming om
an ex ensi e ne wo k o global na iga ion sa elli e sys em
(GNSS) s a ions. In his p oduc he de o ma ion measu emen s
will s ill be in he LOS di ec ion. This p oduc is mo e complex
because i elies on wo ypes o in o ma ion: A-DInSAR and
GNSS. In pa icula , he p oduc ion will ha e o manage an
inhomogeneous densi y o a ailable GNSS s a ions o e
Eu ope. A 50-km GNSS eloci y model is used o calib a ion
pu pose.
The hi d p oduc is he so-called O ho P oduc . This p oduc is
u he elabo a ed s a ing om he p e ious Calib a ed P oduc .
In his p oduc he wo LOS (mono-dimensional) de o ma ion
p oduc s coming om ascending and descending passes a e
used o de i e a 2D in o ma ion. This includes he ho izon al
Eas -Wes componen and he Up-Down e ical componen .
The main disad an age o his p oduc is ha he usion o
ascending and descending da a equi es o wo k a a lowe
spa ial esolu ion. Fo his eason, he O ho P oduc will be
gene a ed o e a 100 by 100 m g id.
Pa icula a en ion will be de o ed o quali y con ol. Se e al
in e nal e i ica ion p ocedu es will be implemen ed du ing he
p oduc ion. Mos o hem in ol e au oma ic p ocedu es. An
ex e nal eam, which is independen o he p oduc ion eam, will
pe o m a comp ehensi e alida ion o he Se ice p oduc s.
Conce ning he dissemina ion, ollowing he Cope nicus da a
policy, he EGMS p oduc s will be ee and open. I will be
dissemina ed using a dedica ed webGIS, which will p o ide
isualiza ion ools, and allow an in e ac i e da a explo a ion and
a p elimina y analysis o he p oduc s o be pe o med. A
download will allow use s o access he de o ma ion maps in
CSV o ma .
The use up ake will be based on he publica ion o guidelines,
and he o ganiza ion o wo kshops and aining sessions. The
Se ice will p esumably ha e a wide ange o use s, including
esea ch cen es and uni e si ies; geological, geophysical,
geode ic and opog aphic su eys; ci il p o ec ion au ho i ies;
public au ho i ies; oad and ailway adminis a ions; wa e
managemen au ho i ies; cul u al he i age ins i u ions; mining
indus y; oil and gas indus y; enginee ing companies; insu ance
indus y; and he ci izens.
Figu e 1: Le – EGMS co e age; he Azo es and Madei a a chipelagos, he Cana y and Balea es islands, he F ench O e seas
Depa men s and Regions a e included. Righ – Simpli ied lowcha o he EGMS p oduc ion.
The In e na ional A chi es o he Pho og amme y, Remo e Sensing and Spa ial In o ma ion Sciences, Volume XLIII-B3-2022
XXIV ISPRS Cong ess (2022 edi ion), 6–11 June 2022, Nice, F ance
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258
2. EGMS RESULTS: LANDSLIDES
This sec ion desc ibes some p elimina y esul s o he EGMS.
The i s one conce n landslides, which a e, oge he wi h
subsidence, a common a ge o EGMS.
The i s esul conce n a landslide in No way. Figu e 2 shows
an example o slope de o ma ion om he Hye jo den in he
Ves land Coun y in No way. This jo d is loca ed app oxima ely
230 km no h o Be gen, he second main ci y o No way. The
jo d is cha ac e ised by s eep slopes, which a e commonly
a ec ed by landslides o a ious ypes and by snow a alanches
(He manns e al., 2021).
The EGMS Basic P oduc , which was de i ed using he
descending SAR passes, cap u es well he de o ma ion
occu ing in he eas e n lank o he jo d. The same canno be
said o he opposi e lank, whe e o esho ening and layo e
occu (Hanssen, 2001). The de o ma ion map was de i ed using
178 Sen inel-1. I is wo h obse ing ha he a ailable da a
s ack includes much mo e images: he images acqui ed du ing
he win e pe iod (app oxima ely om end o Oc obe o ea ly
Ma ch) we e disca ded because he snow co e impedes o
de i e use ul de o ma ion measu emen s.
In Figu e 2, he EGMS da a iden i y he uppe po ion o a la ge
slope de o ma ion on he eas e n lank o he jo d, a an
ele a ion be ween 800-1000 m abo e sea le el. The po en ial
c own a ea o he landslide has an ex ension o abou 2.5 km.
The LOS eloci ies each -30 mm/y in he sou he n po ion o
he mo ing a ea; he a e age eloci y alue is -9 mm/y . LOS
eloci ies a e nega i e indica ing mo ion away om he senso
in he downslope di ec ion. Fu he in es iga ions will include
he use o he EGMS O ho p oduc o es ima e he magni ude
o he ho izon al and e ical componen s o mo ion.
3. EGMS RESULTS: SUBSIDENCE
This sec ion conce n examples o subsidence. Figu e 3
illus a es an example o EGMS Basic p oduc , which co e s
he sou he n pa o he G oningen gas ield ( he Ne he lands).
This is he la ges gas ield in Eu ope. Due o i s high
en i onmen al impac , i is expec ed ha he p oduc ion will
comple ely shu down be ween 2025 and 2028. La ge-scale
subsidence due o he compac ion o he ese oi and inc eased
seismici y a e consequences o he gas ex ac ion.
Figu e 2 – G ound mo ion along he eas e n lank o he
Hye jo den (No way). EGMS Basic P oduc .
Figu e 3 – G ound mo ion ela ed o gas ex ac ion in he
G oningen gas ield ( he Ne he lands). EGMS Basic P oduc .
The a ea was p e iously s udied using A-DInSAR. F om hese
s udies, a e age subsidence a es we e es ima ed o be
app oxima ely be ween -7 and -4 mm/y in he pe iod 1992-
2007 (co e ed by SAR da a om he ERS and En isa senso s),
and -5 mm/y o he pe iod 2015-2017 (using Sen inel-1 da a)
(Gee e al., 2019).
The de o ma ion map p esen ed in Figu e 3 esul s om he
analysis o 295 Sen inel-1 images ha span he pe iod om
Feb ua y 2015 o Decembe 2020. The images we e acqui ed in
descending geome y. The subsidence a es each a maximum
o 25 mm/y in he cen e o he subsidence bowl loca ed in he
sou hwes e n co ne o Figu e 3. Howe e , excluding high local
de o ma ion a es, subsidence is es ima ed a an a e age alue
o 4 mm/y . This is in line wi h he es ima ions published by
Gee e al. (2019).
We desc ibe a second impo an example o subsidence, which
is ela ed o he exploi a ion o geo he mal ese oi s. The
explo a ion and exploi a ion o geo he mal ese oi s o powe
p oduc ion ha e an impo an en i onmen al impac , which
includes ai and wa e pollu ion, induced seismici y, and g ound
subsidence. The la e can be o en de ec ed by using A-
DInSAR.
Figu e 4 shows he EGMS Basic P oduc o e he La de ello
geo he mal ield (Tuscany, I aly). La de ello is he oldes
geo he mal powe plan in he wo ld; he ac i i y s a ed in ea ly
1900s. Nowadays, 34 powe p oduc ion plan s p oduce
app oxima ely 30% o he elec ici y demand o he Tuscany
egion. The geo he mal ese oi eaches empe a u es be ween
200ºC and 350ºC a a dep h be ween 400 and 3500 m and i is
hos ed by ca bona e and me amo phic o ma ions (Be ini e al.,
2005).
The e a e p e ious in es iga ions, which we e based on ERS 1/2
and En isa da a, ha e ealed he p esence o a la ge
subsidence bowl wi h maximum subsidence a es o ~-30
mm/y (Sola i e al., 2018). This is con i med by he EGMS
da a in Figu e 4. The esul s we e de i ed using 295 images
acqui ed in ascending geome y. The esul s allow us o d aw
he con ou o a subsidence a ea, which ex ends o oughly 12
km in he NE-SW di ec ion (La de ello-Lagoni Rossi axis) and
o 10 km in he SE-NW di ec ion (Sasso Pisano-Se azzano
axis). Subsidence a es a e on a e age equal o 8 mm/y wi h a
maximum o 25 mm/y in he cen e o he alley.
The In e na ional A chi es o he Pho og amme y, Remo e Sensing and Spa ial In o ma ion Sciences, Volume XLIII-B3-2022
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259
Figu e 4. G ound mo ion in he La de ello geo he mal ield
(Tuscany, I aly). EGMS Basic P oduc .
We discuss below a hi d example o subsidence. I belongs o
an impo an class o de o ma ion phenomena, whe e he
g ound mo ion is induced by unde g ound o su ace mining.
This is a ype o applica ion whe e he mul i- empo al sa elli e
in e e ome y o A-DInSAR o e s a use ul de o ma ion
measu emen and moni o ing ool.
Figu e 5 p esen s he EMGS Basic P oduc in he su oundings
o he Hambach open pi mine (No h Rhine-Wes phalia,
Ge many). In his si e, he ligni e ex ac ion begun in 1978 and
c ea ed a dep ession o abou 50 km2, and almos 500-m deep.
The mine has an impo an en i onmen al impac , which is
especially ela ed o de o es a ion and des uc ion o
biodi e si y. In addi ion, he mine al e ed he g oundwa e
ci cula ion. In ac , he wa e le el mus be main ained low
enough o gua an ee he exca a ion and ex ac ion ope a ions.
Due o changes in he g oundwa e , subsidence is igge ed in
he su oundings o he mine.
The EGMS esul s shown in Figu e 5 allow us delimi a ing he
ex ension o he subsidence a ea, which has a su ace o
app oxima ely 600 km2. This is clea ly a e y impo an su ace,
which includes u ban and pe i-u ban a eas, and impo an
in as uc u es. Two ci ies, Dü en and Ke pen, ew kilome es
sou h o he mine, a e loca ed in he mo ing a ea. The
de o ma ion map was de i ed using a s ack o 286 Sen inel-1
images co e ing he pe iod 2015-2020. The esul s shown in
Figu e 5 we e de i ed using he descending geome y.
The subsidence a es each 60 o 70 mm/y in he p oximi y o
he mine. The i s 10 km a ound he mine eco d an a e age
subsidence a e o app oxima ely 20 mm/y . Time se ies o he
a ea show a linea de o ma ion wi hou big seasonal a ia ions.
Such impo an de o ma ion a es a e o en associa ed wi h
ho izon al displacemen s. This aspec can be s udied using he
O ho P oduc .
Looking a he Figu e 5, one may no ice ha he measu emen
poin densi y in he mining a ea is s ongly educed. This can be
due o deco ela ion due o he equen su ace changes induced
by he exca a ion o new coal le els. In addi ion, his can be
due o a loss o measu emen poin s due o as and non-linea
de o ma ion. Fo his aspec , e e o C ose o e al. (2020).
Figu e 5. Subsidence in he su oundings o he Hambach mine
(No h Rhine-Wes phalia, Ge many). EGMS Basic P oduc .
4. EGMS RESULTS: INFRASTRUCTURES
The de o ma ion moni o ing o in as uc u es ep esen s an
impo an componen o he EGMS. This Se ice will allow
use s o moni o c i ical in as uc u es like ailways, highways,
e c.
The Figu e 5 p esen s he EGMS Basic P oduc along a po ion
o a majo highway loca ed in sou he n Spain. The A-48
highway (Au o ía de la Cos a de la Luz) connec s Cadiz o
Algeci as in he Andalucía Region. The ocus o Figu e 6 is a
po ion o A-48, which links he own o Chiclana de la F on e a
o he eas wi h San Fe nando o he wes . This a ea is pa o
he Bahía de Cádiz Na u al Pa k, no a om he mou h o he
Guadale e i e . This is a ma sh en i onmen cha ac e ised by
shallow channels and ag icul u al pa cels.
The highway ack is cha ac e ised by high subsidence a es up
o 20 mm/y ; on a e age, he highway ack egis e subsidence
a es in he o de o 12 mm/y . The geological cha ac e is ics o
he a ea play a c i ical ole in con olling he g ound mo ion; in
ac , high LOS eloci ies a e eco ded in he ma sh a ea,
whe eas he ci y o Chiclana de la F on e a, loca ed on sandy
soils, is s able (see he eas e n pa o Figu e 6).
Figu e 6. G ound mo ion along he A-48 highway (Spain).
EGMS Basic P oduc .
The In e na ional A chi es o he Pho og amme y, Remo e Sensing and Spa ial In o ma ion Sciences, Volume XLIII-B3-2022
XXIV ISPRS Cong ess (2022 edi ion), 6–11 June 2022, Nice, F ance
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260
Figu e 7. De o ma ion eloci y map ha conce ns he g ound mo ion along o e he ai po and po o Ba celona (Spain).
EGMS Basic P oduc .
The las example conce ns wo impo an ypes o
in as uc u es: he ai po and po o Ba celona (Spain). The
de o ma ion o bo h in as uc u es is well sampled. O e he
ai po he e a e a lo o measu emen poin s bo h in he
unways and he e minals. The ai po includes se e al
de o ma ion a eas. Some o hem a e caused by wa e pumping,
while o he s a e due o cons uc ion wo ks.
The po a ea includes he mos impo an de o ma ions. They
conce n eclaimed land and key in as uc u es like he dikes
ha p o ec he po . In he dykes de o ma ion well below -20
mm/y occu .
These esul s a e simila o hose published in p e ious wo ks,
e.g. se De an hé y e al. (2014)
ACKNOWLEDGEMENTS
This wo k is pa o he Spanish G an SARAI, PID2020-
116540RB-C21, which has been unded by he MCIN/AEI/
10.13039/501100011033. The A-DInSAR esul s shown in his
pape belong o he EGMS.
REFERENCES
Be ini, G., Cappelle i, G., Fio delisi, A. (2005). Cha ac e is ics
o geo he mal ields in I aly. G. Geologia Appl., 1, 247-254.
Come ci, V., Vi o i, E., 2019. The Need o a S anda dized
Me hodology o Quan i a i e Assessmen o Na u al and
An h opogenic Land Subsidence: The Agos a (I aly) Gas Field
Case. Remo e Sensing. 11(10), 1178.
Cos an ini, M., Fe e i, A., Mina i, F., Falco, S., T illo, F.,
Colombo, D., No ali, F., Mal a osa, F., Mammone, C.,
Vecchioli, F., Rucci, A., 2017. Analysis o su ace de o ma ions
o e he whole I alian e i o y by in e e ome ic p ocessing o
ERS, En isa and COSMO-SkyMed ada da a. Remo e Sensing
o En i onmen , 202, 250-275.
C ose o, M., Monse a , O., Cue as-González, M. De an hé y,
N., C ippa, B., 2016. Pe sis en Sca e e In e e ome y: a
e iew. ISPRS Jou nal o Pho og amme y and Remo e Sensing,
115, 78-89.
C ose o, M., Sola i, L., M óz, M., Balasis-Le insen, J.,
Casagli, N., F ei, M., Oyen, A., Moldes ad, D.A., Ba eson, L.,
Gue ie i, L., Come ci, V., 2020. The e olu ion o wide-a ea
DInSAR: F om egional and na ional se ices o he Eu opean
g ound mo ion se ice. Remo e Sensing, 12(12), p.2043.
Del Solda o, M., Sola i, L., Raspini, F., Bianchini, S.,
Ciampalini, A., Mon al i, R., Fe e i, A., Pelleg ineschi, V.,
Casagli, N., 2019. Moni o ing G ound Ins abili ies Using SAR
Sa elli e Da a: A P ac ical App oach. ISPRS In e na ional
Jou nal o Geo-In o ma ion. 8(7), 307.
De an hé y, N., C ose o, M., Monse a , O., Cue as-González,
M., C ippa, B., 2014. An App oach o Pe sis en Sca e e
In e e ome y. Remo e Sensing, 6(7), 6662-6679.
EGMS Task Fo ce, 2017, h ps://land.cope nicus.eu/use -
co ne / echnical-lib a y/egms-whi e-pape .
EGMS, 2022, h ps://land.cope nicus.eu/pan-eu opean/
eu opean- g ound-mo ion-se ice.
The In e na ional A chi es o he Pho og amme y, Remo e Sensing and Spa ial In o ma ion Sciences, Volume XLIII-B3-2022
XXIV ISPRS Cong ess (2022 edi ion), 6–11 June 2022, Nice, F ance
This con ibu ion has been pee - e iewed.
h ps://doi.o g/10.5194/isp s-a chi es-XLIII-B3-2022-257-2022 | © Au ho (s) 2022. CC BY 4.0 License.
261
Fe e i, A., P a i, C., Rocca, F., 2000. Nonlinea subsidence
a e es ima ion using pe manen sca e e s in di e en ial SAR
in e e ome y. IEEE TGRS. 38(5), 2202-2212.
Fe e i, A., P a i, C., Rocca, F., 2001. Pe manen sca e e s in
SAR in e e ome y. IEEE TGRS. 39(1), 8-20.
Gee, D., Sow e , A., G ebby, S., de Lange, G., A hab, A.,
Ma sh, S., 2019. Na ional geohaza ds mapping in Eu ope:
In e e ome ic analysis o he Ne he lands”, Enginee ing
Geology, Else ie , Ams e dam, he Ne he lands, 256, pp. 1-22.
Kalia, A.C., F ei, M. and Lege, T., 2017. A Cope nicus
downs eam-se ice o he na ionwide moni o ing o su ace
displacemen s in Ge many. Remo e Sensing o En i onmen ,
202, pp.234-249.
Hanssen, R., 2001. Rada in e e ome y. Kluwe Academic
Publishe s, Do d ech (The Ne he lands).
He manns, R.L., Hansen, L., Sle en, K., Böhme, M., Bunkhol ,
H., Dehls J.F., e al. 2021. Sys ema ic geological mapping o
landslide unde s anding in he No wegian con ex . Landslide
and Enginee ed Slopes: P o ec ing Socie y h ough Imp o ed
Unde s anding. Ebe ha d , E., F oese, C., Tu ne , K., Le oueil,
S., Eds., CRC P ess, London, UK, Volume 2, pp. 265–271.
La sen, Y., Ma inko ic, P., Dehls, J.F., B edal, M., Bishop, C.,
Jøkulsson, G., Gjø ik, L.P., F auen elde , R., Salaza , S., Vöge,
M., Cos an ini, M., Mina i, F., T illo, F., Fe e i, A., Capes, R.,
Bianchi, M., Pa izzi, A., B cic, R., Casu, F., Lana i, R.,
Manun a, M., Manzo, M., Bonano, M., De Luca, C., Ono a o,
G., Zinno, I. (2020). Eu opean G ound Mo ion Se ice: Se ice
Implemen a ion. Cope nicus Land Moni o ing Se ice epo .
A ailable a h ps://land.cope nicus.eu/use -co ne / echnical-
lib a y/egms-speci ica ion-and-implemen a ion-plan.
NGU, 2022, h ps://insa .ngu.no.
Raspini, F., Bianchini, S., Ciampalini, A., Del Solda o, M.,
Sola i, L., No ali, F., Del Con e, S., Rucci, A., Fe e i, A. and
Casagli, N., 2018. Con inuous, semi-au oma ic moni o ing o
g ound de o ma ion using Sen inel-1 sa elli es. Scien i ic
epo s, 8(1), 7253.
Sola i, L., Del Solda o, M., Bianchini, S., Ciampalini, A.,
Ezque o, P., Mon al i, R., Raspini, F., Mo e i, S. (2018). F om
ERS 1/2 o Sen inel-1: subsidence moni o ing in I aly in he las
wo decades. F on ie s in Ea h Science, 6, 149.
Sola i, L., Del Solda o, M., Mon al i, R., Bianchini, S., Raspini,
F., Thuegaz, P., Be olo, D., To ani, V. and Casagli, N., 2019. A
Sen inel-1 based ho -spo analysis: landslide mapping in no h-
wes e n I aly. In e na ional Jou nal o Remo e Sensing. 40(20),
7898-7921.
The In e na ional A chi es o he Pho og amme y, Remo e Sensing and Spa ial In o ma ion Sciences, Volume XLIII-B3-2022
XXIV ISPRS Cong ess (2022 edi ion), 6–11 June 2022, Nice, F ance
This con ibu ion has been pee - e iewed.
h ps://doi.o g/10.5194/isp s-a chi es-XLIII-B3-2022-257-2022 | © Au ho (s) 2022. CC BY 4.0 License.
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