A high resolution map of soil types and physical properties for Cyprus: A digital soil mapping optimization

Fine-resolution soil maps constitute important data for many different environmental studies. Digital soil mapping techniques represent a cost-effective method to obtain detailed information about soil types and soil properties over large areas. The main objective of the study was to extend predicti...

Full description

Saved in:
Bibliographic Details
Published inGeoderma Vol. 285; pp. 35 - 49
Main Authors Camera, Corrado, Zomeni, Zomenia, Noller, Jay S., Zissimos, Andreas M., Christoforou, Irene C., Bruggeman, Adriana
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2017
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Fine-resolution soil maps constitute important data for many different environmental studies. Digital soil mapping techniques represent a cost-effective method to obtain detailed information about soil types and soil properties over large areas. The main objective of the study was to extend predictions from 1:25,000 legacy soil surveys (including WRB soil groups, soil depth and soil texture classes) to the larger area of Cyprus. A multiple-trees classification technique, namely Random Forest (RF), was applied. Specific objectives were: (i) to analyze the role and importance of a large data set of environmental predictors, (ii) to investigate the effect of the number of training points, forest size (ntree), the numbers of predictors sampled per node (mtry) and tree size (nodesize) in RF; (iii) to compare RF-derived maps with maps derived with a multinomial logistic regression model, in terms of validation error (test set and independent profiles) and map uncertainty, using the confusion index and a newly developed reliability index. The optimized RF model was run using half of the input points available (over a million) and with ntree equal to 350. The mtry parameter was set to 5 (close to half the number of the environmental variables used) for both soil series and soil properties. The nodesize calibration showed no relevant performance increase and was kept at its default value (1). In terms of environmental variables, the model used 10 predictors, covering all the soil formation factors considered in the scorpan formula, to derive the three maps. Soil properties, derived from geochemistry data, showed a high importance in deriving soil groups, depths and texture. Random Forest constructed a better predictive model than multinomial logistic regression, showing comparable predictive uncertainty but much lower validation error. The RF-derived maps show very low out of bag (OOB) errors (around 10% for both soil groups and soil properties) but relatively high validation error from independent profiles (45% for soil depth, 51% for soil texture). The resulting reliability index was low in the main mountainous area of Cyprus, where predictions were extrapolations as indicated by the multivariate environmental similarity surface, but medium to high in the main agricultural areas of the country. [Display omitted] •We created a digital soil map of Cyprus (1:25,000) using Random Forest.•We developed a reliability index to qualitatively show prediction uncertainties.•The model showed greater sensitivity to the number of input points than trees grown.•Soil geochemistry predictors had a prevalent role in identifying soil properties.
AbstractList Fine-resolution soil maps constitute important data for many different environmental studies. Digital soil mapping techniques represent a cost-effective method to obtain detailed information about soil types and soil properties over large areas. The main objective of the study was to extend predictions from 1:25,000 legacy soil surveys (including WRB soil groups, soil depth and soil texture classes) to the larger area of Cyprus. A multiple-trees classification technique, namely Random Forest (RF), was applied. Specific objectives were: (i) to analyze the role and importance of a large data set of environmental predictors, (ii) to investigate the effect of the number of training points, forest size (ntree), the numbers of predictors sampled per node (mtry) and tree size (nodesize) in RF; (iii) to compare RF-derived maps with maps derived with a multinomial logistic regression model, in terms of validation error (test set and independent profiles) and map uncertainty, using the confusion index and a newly developed reliability index. The optimized RF model was run using half of the input points available (over a million) and with ntree equal to 350. The mtry parameter was set to 5 (close to half the number of the environmental variables used) for both soil series and soil properties. The nodesize calibration showed no relevant performance increase and was kept at its default value (1). In terms of environmental variables, the model used 10 predictors, covering all the soil formation factors considered in the scorpan formula, to derive the three maps. Soil properties, derived from geochemistry data, showed a high importance in deriving soil groups, depths and texture. Random Forest constructed a better predictive model than multinomial logistic regression, showing comparable predictive uncertainty but much lower validation error. The RF-derived maps show very low out of bag (OOB) errors (around 10% for both soil groups and soil properties) but relatively high validation error from independent profiles (45% for soil depth, 51% for soil texture). The resulting reliability index was low in the main mountainous area of Cyprus, where predictions were extrapolations as indicated by the multivariate environmental similarity surface, but medium to high in the main agricultural areas of the country. [Display omitted] •We created a digital soil map of Cyprus (1:25,000) using Random Forest.•We developed a reliability index to qualitatively show prediction uncertainties.•The model showed greater sensitivity to the number of input points than trees grown.•Soil geochemistry predictors had a prevalent role in identifying soil properties.
Author Zomeni, Zomenia
Noller, Jay S.
Bruggeman, Adriana
Zissimos, Andreas M.
Christoforou, Irene C.
Camera, Corrado
Author_xml – sequence: 1
  givenname: Corrado
  surname: Camera
  fullname: Camera, Corrado
  email: c.camera@cyi.ac.cy
  organization: Energy, Environment and Water Research Centre, The Cyprus Institute, Aglantzia, Lefkosia 2121, Cyprus
– sequence: 2
  givenname: Zomenia
  surname: Zomeni
  fullname: Zomeni, Zomenia
  organization: Cyprus Geological Survey, Ministry of Agriculture, Rural Development and the Environment, Strovolos, Lefkosia 2064, Cyprus
– sequence: 3
  givenname: Jay S.
  surname: Noller
  fullname: Noller, Jay S.
  organization: Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331, United States
– sequence: 4
  givenname: Andreas M.
  surname: Zissimos
  fullname: Zissimos, Andreas M.
  organization: Cyprus Geological Survey, Ministry of Agriculture, Rural Development and the Environment, Strovolos, Lefkosia 2064, Cyprus
– sequence: 5
  givenname: Irene C.
  surname: Christoforou
  fullname: Christoforou, Irene C.
  organization: Cyprus Geological Survey, Ministry of Agriculture, Rural Development and the Environment, Strovolos, Lefkosia 2064, Cyprus
– sequence: 6
  givenname: Adriana
  surname: Bruggeman
  fullname: Bruggeman, Adriana
  organization: Energy, Environment and Water Research Centre, The Cyprus Institute, Aglantzia, Lefkosia 2121, Cyprus
BookMark eNqFkFtLwzAYhoMouE3_guQPtCZpm7ReOYYnGHiz-5Dm0GW2TUg6of56M6fXXn18h_fh41mCy9GNGoA7jHKMML0_5J12SodB5CT1OWpyhJsLsMA1IxklVXMJFihtMoYovgbLGA-pZYigBfhYw73t9jDo6PrjZN0IB-GhMzA628Np9jpCMSro93O0UvTQB-d1mGyaGxfgZvbhGB_gGirb2Skd_AQTxNuxg85PdrBf4kS-AVdG9FHf_tYV2D0_7Tav2fb95W2z3maiqIspK0um2oJJSk1RVoJoISvCCCpbRqgsFZFCGW0qIYVAZU1bKrRBhglS4qZuixWgZ6wMLsagDffBDiLMHCN-MsYP_M8YPxnjqOHJWAo-noM6PfdpdeBRWj1KrWzQcuLK2f8Q3_UvfK8
CitedBy_id crossref_primary_10_1016_j_catena_2020_104810
crossref_primary_10_1016_j_geoderma_2024_116873
crossref_primary_10_3390_agronomy10040573
crossref_primary_10_1007_s10346_023_02091_x
crossref_primary_10_1007_s12665_023_10919_x
crossref_primary_10_1016_j_geoderma_2023_116557
crossref_primary_10_1080_23311916_2020_1779563
crossref_primary_10_3390_land12040819
crossref_primary_10_1016_j_asr_2024_04_042
crossref_primary_10_1134_S1064229323600951
crossref_primary_10_1016_j_jag_2020_102111
crossref_primary_10_1016_j_jasrep_2023_104038
crossref_primary_10_1016_j_gexplo_2018_10_005
crossref_primary_10_3390_su15118511
crossref_primary_10_1029_2023JD040335
crossref_primary_10_1016_j_catena_2017_10_002
crossref_primary_10_1016_j_geoderma_2017_10_048
crossref_primary_10_1016_j_geoderma_2020_114779
crossref_primary_10_17491_jgsi_2024_173873
crossref_primary_10_1016_j_catena_2022_106204
crossref_primary_10_1016_j_geodrs_2022_e00532
crossref_primary_10_1111_sum_12668
crossref_primary_10_1080_00758914_2021_1972609
crossref_primary_10_5091_plecevo_90511
crossref_primary_10_1016_j_catena_2020_104741
crossref_primary_10_3390_w9020093
crossref_primary_10_31857_S0032180X2360018X
crossref_primary_10_5194_soil_6_35_2020
crossref_primary_10_1590_1413_7054201943015619
crossref_primary_10_1016_j_geodrs_2023_e00713
crossref_primary_10_1016_j_geodrs_2021_e00437
crossref_primary_10_17660_ActaHortic_2019_1253_49
crossref_primary_10_1016_j_biosystemseng_2022_10_011
crossref_primary_10_3390_agronomy12102375
crossref_primary_10_3390_su122410274
crossref_primary_10_1007_s12517_020_06076_1
crossref_primary_10_1016_j_geoderma_2023_116383
crossref_primary_10_5194_nhess_20_2791_2020
crossref_primary_10_3390_rs15061624
crossref_primary_10_1007_s12517_020_05576_4
crossref_primary_10_1016_j_catena_2021_105442
crossref_primary_10_1016_j_catena_2023_106932
crossref_primary_10_1016_j_scitotenv_2020_142030
crossref_primary_10_1016_j_geodrs_2022_e00584
crossref_primary_10_1016_j_catena_2020_104953
crossref_primary_10_1016_j_jhydrol_2023_129399
crossref_primary_10_3390_s22072685
crossref_primary_10_5194_hess_24_2505_2020
crossref_primary_10_1016_j_ecoser_2021_101378
crossref_primary_10_1016_j_geoderma_2020_114233
crossref_primary_10_1088_2515_7620_abf15f
crossref_primary_10_1007_s10661_023_12088_7
crossref_primary_10_1016_j_geoderma_2023_116571
crossref_primary_10_1016_j_catena_2019_104149
crossref_primary_10_1590_1413_7054202145007921
crossref_primary_10_1134_S1064229320090136
crossref_primary_10_1016_j_jhydrol_2024_131352
crossref_primary_10_3390_w11051055
crossref_primary_10_5194_soil_8_587_2022
crossref_primary_10_1590_18069657rbcs20170133
crossref_primary_10_1016_j_compag_2019_03_015
crossref_primary_10_1016_j_scitotenv_2019_03_151
crossref_primary_10_1016_j_geoderma_2023_116418
crossref_primary_10_36783_18069657rbcs20190120
crossref_primary_10_1016_j_catena_2023_107677
crossref_primary_10_1016_j_jsames_2023_104640
crossref_primary_10_2139_ssrn_4143185
crossref_primary_10_1007_s10064_018_1400_9
crossref_primary_10_1016_j_geomorph_2022_108401
crossref_primary_10_1016_j_catena_2021_105258
crossref_primary_10_1038_s41598_019_50376_w
crossref_primary_10_1371_journal_pone_0289286
crossref_primary_10_3390_w16131789
crossref_primary_10_1016_j_scitotenv_2021_147360
crossref_primary_10_1038_s41598_022_10159_2
crossref_primary_10_1007_s10661_023_11980_6
crossref_primary_10_1016_j_jhydrol_2022_128991
crossref_primary_10_3390_land12091680
crossref_primary_10_3390_land12071295
crossref_primary_10_3390_su16104312
crossref_primary_10_1007_s10661_023_11126_8
crossref_primary_10_3390_su12218812
crossref_primary_10_1007_s10661_021_09543_8
crossref_primary_10_1016_j_ecolind_2022_108545
crossref_primary_10_1016_j_watres_2019_114893
crossref_primary_10_1016_j_gexplo_2024_107539
crossref_primary_10_1016_j_scitotenv_2023_161973
crossref_primary_10_1080_01431161_2020_1763506
crossref_primary_10_1016_j_atmosenv_2018_07_048
crossref_primary_10_3390_agronomy12092224
crossref_primary_10_1016_j_geoderma_2019_07_005
crossref_primary_10_1111_sum_12833
crossref_primary_10_1007_s13157_023_01705_3
crossref_primary_10_3389_fenvs_2023_1213069
crossref_primary_10_1016_j_scitotenv_2018_02_204
Cites_doi 10.1016/j.geoderma.2007.11.004
10.1111/j.2041-210X.2010.00036.x
10.2136/sssaj2005.0117
10.1016/j.chemgeo.2013.10.027
10.1016/j.scitotenv.2012.01.036
10.1016/j.geoderma.2008.05.008
10.1016/j.geoderma.2015.11.014
10.1016/j.envsoft.2008.02.010
10.1080/00103628809368027
10.1016/S0016-7061(97)00018-9
10.1186/1471-2105-9-307
10.1016/j.ecolmodel.2004.06.036
10.1016/j.geoderma.2013.05.029
10.1080/02693799008941555
10.1016/j.jaridenv.2012.08.004
10.1080/00103629109368465
10.1002/widm.1072
10.1144/geochem2011-111
10.1016/j.geoderma.2011.03.010
10.1016/j.apgeochem.2015.02.011
10.1016/j.geoderma.2016.02.021
10.1016/j.geoderma.2008.05.010
10.1016/j.envsoft.2014.03.004
10.1016/j.geoderma.2015.07.005
10.1016/j.geoderma.2014.04.036
10.1016/j.scitotenv.2015.07.035
10.1016/j.geoderma.2013.09.016
10.1016/j.gexplo.2014.07.004
10.18637/jss.v028.i05
10.1016/j.geoderma.2016.02.002
10.1007/s11104-010-0425-z
10.1023/A:1010933404324
10.1016/j.jas.2012.02.010
10.1016/j.geoderma.2015.07.017
10.1191/0309133303pp366ra
10.1016/j.catena.2008.12.001
10.1016/j.geoderma.2015.04.008
10.1016/0016-7061(94)00040-H
10.1186/1471-2105-8-25
10.1016/j.geoderma.2009.07.010
10.1016/S0016-7061(03)00223-4
10.1007/s10980-008-9261-4
10.1111/j.1365-2389.2012.01425.x
10.1016/j.geodrs.2014.07.001
10.1016/j.catena.2016.01.001
10.1016/j.geoderma.2009.04.023
10.2136/sssaj2011.0424
ContentType Journal Article
Copyright 2016 Elsevier B.V.
Copyright_xml – notice: 2016 Elsevier B.V.
DBID AAYXX
CITATION
DOI 10.1016/j.geoderma.2016.09.019
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Agriculture
EISSN 1872-6259
EndPage 49
ExternalDocumentID 10_1016_j_geoderma_2016_09_019
S0016706116304864
GroupedDBID --K
--M
-DZ
-~X
.~1
0R~
1B1
1RT
1~.
1~5
4.4
457
4G.
5GY
5VS
7-5
71M
8P~
9JM
9JN
AABNK
AABVA
AACTN
AAEDT
AAEDW
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AATLK
AAXUO
ABFRF
ABGRD
ABJNI
ABMAC
ABQEM
ABQYD
ABYKQ
ACDAQ
ACGFO
ACGFS
ACIUM
ACLVX
ACRLP
ACSBN
ADBBV
ADEZE
ADQTV
AEBSH
AEFWE
AEKER
AENEX
AEQOU
AFKWA
AFTJW
AFXIZ
AGHFR
AGUBO
AGYEJ
AHHHB
AIEXJ
AIKHN
AITUG
AJBFU
AJOXV
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
ATOGT
AXJTR
BKOJK
BLXMC
CBWCG
CS3
DU5
EBS
EFJIC
EFLBG
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FIRID
FNPLU
FYGXN
G-Q
GBLVA
IHE
IMUCA
J1W
K-O
KOM
LW9
LY3
LY9
M41
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
RIG
ROL
RPZ
SAB
SDF
SDG
SES
SPC
SPCBC
SSA
SSE
SSZ
T5K
~02
~G-
0SF
29H
AAHBH
AALCJ
AAQXK
AAXKI
AAYXX
ABEFU
ABFNM
ABXDB
ADMUD
ADVLN
AFFNX
AFJKZ
AI.
AKRWK
ASPBG
AVWKF
AZFZN
CITATION
FEDTE
FGOYB
G-2
GROUPED_DOAJ
HLV
HMA
HMC
HVGLF
HZ~
H~9
OHT
R2-
SEN
SEP
SEW
VH1
WUQ
XPP
Y6R
ZMT
ID FETCH-LOGICAL-a383t-447db37c66f345a2eac527204b726c4d2cadfef5acaa0486b6aef0f7a24198b3
IEDL.DBID AIKHN
ISSN 0016-7061
IngestDate Thu Sep 26 16:53:53 EDT 2024
Fri Feb 23 02:27:13 EST 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords Model optimization
Soil landscape model
Cyprus
Digital soil mapping
World Reference Base
Random Forest
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-a383t-447db37c66f345a2eac527204b726c4d2cadfef5acaa0486b6aef0f7a24198b3
OpenAccessLink https://air.unimi.it/bitstream/2434/551385/4/Camera_et_al_2017b_postprint_Digital_soil_map_Cyprus.pdf
PageCount 15
ParticipantIDs crossref_primary_10_1016_j_geoderma_2016_09_019
elsevier_sciencedirect_doi_10_1016_j_geoderma_2016_09_019
PublicationCentury 2000
PublicationDate 2017-01-01
2017-01-00
PublicationDateYYYYMMDD 2017-01-01
PublicationDate_xml – month: 01
  year: 2017
  text: 2017-01-01
  day: 01
PublicationDecade 2010
PublicationTitle Geoderma
PublicationYear 2017
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
References Koumis (10.1016/j.geoderma.2016.09.019_bb0220) 1970
Shary (10.1016/j.geoderma.2016.09.019_bb0375) 2008
Taghizadeh-Mehrjardi (10.1016/j.geoderma.2016.09.019_bb0430) 2015; 253
Cohen (10.1016/j.geoderma.2016.09.019_bb0080) 2012; 12
Pahlavan Rad (10.1016/j.geoderma.2016.09.019_bb0325) 2014; 232–234
Debella-Gilo (10.1016/j.geoderma.2016.09.019_bb0100) 2009; 77
Djuma (10.1016/j.geoderma.2016.09.019_bb0110) 2016
Venables (10.1016/j.geoderma.2016.09.019_bb0435) 2002
Markides (10.1016/j.geoderma.2016.09.019_bb0290) 1973
Heung (10.1016/j.geoderma.2016.09.019_bb0165) 2014; 214–215
Kempen (10.1016/j.geoderma.2016.09.019_bb0205) 2012; 76
10.1016/j.geoderma.2016.09.019_bb0190
Soteriades (10.1016/j.geoderma.2016.09.019_bb0390) 1968
Schmidt (10.1016/j.geoderma.2016.09.019_bb0360) 2008; 146
Xiong (10.1016/j.geoderma.2016.09.019_bb0445) 2014; 57
Bolstad (10.1016/j.geoderma.2016.09.019_bb0035) 1990; 4
Grivas (10.1016/j.geoderma.2016.09.019_bb0155) 1972
Barthold (10.1016/j.geoderma.2016.09.019_bb0020) 2013; 88
Kempen (10.1016/j.geoderma.2016.09.019_bb0200) 2009; 151
Camera (10.1016/j.geoderma.2016.09.019_bb0070) 2013
Peters (10.1016/j.geoderma.2016.09.019_bb0335) 2008; 23
Strobl (10.1016/j.geoderma.2016.09.019_bb0415) 2008; 9
Babechuk (10.1016/j.geoderma.2016.09.019_bb0015) 2014; 363
McBratney (10.1016/j.geoderma.2016.09.019_bb0310) 2003; 117
Panagos (10.1016/j.geoderma.2016.09.019_bb0330) 2008; 23
Stum (10.1016/j.geoderma.2016.09.019_bb0425) 2010
Heung (10.1016/j.geoderma.2016.09.019_bb0170) 2016; 265
Zissimos (10.1016/j.geoderma.2016.09.019_bb0455) 2014; 146
Boulesteix (10.1016/j.geoderma.2016.09.019_bb0040) 2012; 2
Hutchinson (10.1016/j.geoderma.2016.09.019_bb0180) 1993
Burrough (10.1016/j.geoderma.2016.09.019_bb0055) 1986
Kuhn (10.1016/j.geoderma.2016.09.019_bb0245) 2008; 28
Noller (10.1016/j.geoderma.2016.09.019_bb0320) 2009
Burrough (10.1016/j.geoderma.2016.09.019_bb0060) 1997; 77
Soteriades (10.1016/j.geoderma.2016.09.019_bb0400) 1969
Koumis (10.1016/j.geoderma.2016.09.019_bb0230) 1980
Saxton (10.1016/j.geoderma.2016.09.019_bb0355) 2006; 70
Cohen (10.1016/j.geoderma.2016.09.019_bb0085) 2011
Grimm (10.1016/j.geoderma.2016.09.019_bb0135) 2008; 146
Markides (10.1016/j.geoderma.2016.09.019_bb0300) 1985
Zomeni (10.1016/j.geoderma.2016.09.019_bb0460) 2012
Ren (10.1016/j.geoderma.2016.09.019_bb0345) 2015; 56
Yeomans (10.1016/j.geoderma.2016.09.019_bb0450) 1988; 19
Breiman (10.1016/j.geoderma.2016.09.019_bb0045) 2001; 45
Lagacherie (10.1016/j.geoderma.2016.09.019_bb0255) 2007
Grivas (10.1016/j.geoderma.2016.09.019_bb0150) 1988
IUSS Working Group WRB (10.1016/j.geoderma.2016.09.019_bb0185) 2015
Koudounas (10.1016/j.geoderma.2016.09.019_bb0210) 1978
Poggio (10.1016/j.geoderma.2016.09.019_bb0340) 2013; 209–210
Büttner (10.1016/j.geoderma.2016.09.019_bb0065)
Hastie (10.1016/j.geoderma.2016.09.019_bb0160) 2009
Lagacherie (10.1016/j.geoderma.2016.09.019_bb0260) 2013
Markides (10.1016/j.geoderma.2016.09.019_bb0295) 1975
Minasny (10.1016/j.geoderma.2016.09.019_bb0315) 2016; 264
Elith (10.1016/j.geoderma.2016.09.019_bb0115) 2010; 1
Scull (10.1016/j.geoderma.2016.09.019_bb0370) 2003; 27
Allen (10.1016/j.geoderma.2016.09.019_bb0010) 1998
10.1016/j.geoderma.2016.09.019_bb0130
Lang (10.1016/j.geoderma.2016.09.019_bb0265) 2016; 263
Scull (10.1016/j.geoderma.2016.09.019_bb0365) 2005; 181
Jenny (10.1016/j.geoderma.2016.09.019_bb0195) 1941
Koumis (10.1016/j.geoderma.2016.09.019_bb0225) 1970
Soteriades (10.1016/j.geoderma.2016.09.019_bb0385) 1967
Soteriades (10.1016/j.geoderma.2016.09.019_bb0395) 1968
Koumis (10.1016/j.geoderma.2016.09.019_bb0215) 1970
Akpa (10.1016/j.geoderma.2016.09.019_bb0005) 2016; 271
Markides (10.1016/j.geoderma.2016.09.019_bb0305) 1985
Lawley (10.1016/j.geoderma.2016.09.019_bb0270) 2008
Lemercier (10.1016/j.geoderma.2016.09.019_bb0275) 2012; 171–172
Zomeni (10.1016/j.geoderma.2016.09.019_bb0465) 2013
Cohen (10.1016/j.geoderma.2016.09.019_bb0090) 2012; 420
FAO (10.1016/j.geoderma.2016.09.019_bb0125) 2006
Strobl (10.1016/j.geoderma.2016.09.019_bb0420) 2007; 8
Liaw (10.1016/j.geoderma.2016.09.019_bb0280)
Robins (10.1016/j.geoderma.2016.09.019_bb0350) 2004
Diaz-Uriate (10.1016/j.geoderma.2016.09.019_bb0105) 2006; 7
Behrens (10.1016/j.geoderma.2016.09.019_bb0025) 2010; 155
Hijmans (10.1016/j.geoderma.2016.09.019_bb0175)
Grinand (10.1016/j.geoderma.2016.09.019_bb0140) 2008; 143
Soteriades (10.1016/j.geoderma.2016.09.019_bb0405) 1968
Markides (10.1016/j.geoderma.2016.09.019_bb0285) 1969
Collard (10.1016/j.geoderma.2016.09.019_bb0095) 2014; 1
Koumis (10.1016/j.geoderma.2016.09.019_bb0240) 1980
Sreenivas (10.1016/j.geoderma.2016.09.019_bb0410) 2016; 269
Fall (10.1016/j.geoderma.2016.09.019_bb0120) 2012; 39
Chagas (10.1016/j.geoderma.2016.09.019_bb0075) 2016; 139
Koumis (10.1016/j.geoderma.2016.09.019_bb0235) 1980
Soon (10.1016/j.geoderma.2016.09.019_bb0380) 1991; 22
Brungard (10.1016/j.geoderma.2016.09.019_bb0050) 2015; 239–240
Bird (10.1016/j.geoderma.2016.09.019_bb0030) 2016; 543
Lagacherie (10.1016/j.geoderma.2016.09.019_bb0250) 1995; 65
Wiesmeier (10.1016/j.geoderma.2016.09.019_bb0440) 2011; 340
Grivas (10.1016/j.geoderma.2016.09.019_bb0145) 1969
References_xml – volume: 143
  start-page: 180
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0140
  article-title: Extrapolating regional soil landscapes from an existing soil map: sampling intensity, validation procedures, and integration of spatial context
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2007.11.004
  contributor:
    fullname: Grinand
– year: 2011
  ident: 10.1016/j.geoderma.2016.09.019_bb0085
  contributor:
    fullname: Cohen
– volume: 1
  start-page: 330
  year: 2010
  ident: 10.1016/j.geoderma.2016.09.019_bb0115
  article-title: The art of modelling range-shifting species
  publication-title: Methods Ecol. Evol.
  doi: 10.1111/j.2041-210X.2010.00036.x
  contributor:
    fullname: Elith
– volume: 70
  start-page: 1569
  year: 2006
  ident: 10.1016/j.geoderma.2016.09.019_bb0355
  article-title: Soil water characteristic estimates by texture and organic matter for hydrologic solutions
  publication-title: Soil Sci. Soc. Am. J.
  doi: 10.2136/sssaj2005.0117
  contributor:
    fullname: Saxton
– year: 1998
  ident: 10.1016/j.geoderma.2016.09.019_bb0010
  contributor:
    fullname: Allen
– volume: 363
  start-page: 56
  year: 2014
  ident: 10.1016/j.geoderma.2016.09.019_bb0015
  article-title: Quantifying chemical weathering intensity and trace element release from two contrasting basalt profiles, Deccan Traps, India
  publication-title: Chem. Geol.
  doi: 10.1016/j.chemgeo.2013.10.027
  contributor:
    fullname: Babechuk
– volume: 420
  start-page: 250
  year: 2012
  ident: 10.1016/j.geoderma.2016.09.019_bb0090
  article-title: Geochemical patterns in the soils of Cyprus
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2012.01.036
  contributor:
    fullname: Cohen
– year: 2002
  ident: 10.1016/j.geoderma.2016.09.019_bb0435
  contributor:
    fullname: Venables
– volume: 239–240
  start-page: 63
  year: 2015
  ident: 10.1016/j.geoderma.2016.09.019_bb0050
  article-title: Machine learning for predicting soil series in three semi-arid landscapes
  publication-title: Geoderma
  contributor:
    fullname: Brungard
– volume: 146
  start-page: 102
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0135
  article-title: Soil organic carbon concentrations and stocks on Barro Colorado Island — digital soil mapping using Random Forests analysis
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2008.05.008
  contributor:
    fullname: Grimm
– volume: 265
  start-page: 62
  year: 2016
  ident: 10.1016/j.geoderma.2016.09.019_bb0170
  article-title: An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2015.11.014
  contributor:
    fullname: Heung
– volume: 23
  start-page: 1207
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0330
  article-title: Soil organic carbon content indicators and web mapping applications
  publication-title: Environ. Model. Softw.
  doi: 10.1016/j.envsoft.2008.02.010
  contributor:
    fullname: Panagos
– start-page: 392
  year: 1993
  ident: 10.1016/j.geoderma.2016.09.019_bb0180
  article-title: Development of a continent-wide DEM with applications to terrain and climate analysis
  contributor:
    fullname: Hutchinson
– volume: 19
  start-page: 1467
  year: 1988
  ident: 10.1016/j.geoderma.2016.09.019_bb0450
  article-title: A rapid and precise method for routine determination of organic carbon in soil
  publication-title: Commun. Soil Sci. Plant Anal.
  doi: 10.1080/00103628809368027
  contributor:
    fullname: Yeomans
– year: 1986
  ident: 10.1016/j.geoderma.2016.09.019_bb0055
  contributor:
    fullname: Burrough
– volume: 77
  start-page: 115
  year: 1997
  ident: 10.1016/j.geoderma.2016.09.019_bb0060
  article-title: Continuous classification in soil survey: spatial correlation, confusion and boundaries
  publication-title: Geoderma
  doi: 10.1016/S0016-7061(97)00018-9
  contributor:
    fullname: Burrough
– start-page: 209
  year: 2013
  ident: 10.1016/j.geoderma.2016.09.019_bb0260
  article-title: Combining vis–NIR hyperspectral imagery and legacy measured soil profiles to map subsurface soil properties in a Mediterranean area (Cap-Bon, Tunisia)
  publication-title: Geoderma
  contributor:
    fullname: Lagacherie
– year: 2006
  ident: 10.1016/j.geoderma.2016.09.019_bb0125
  contributor:
    fullname: FAO
– volume: 9
  start-page: 307
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0415
  article-title: Conditional variable importance for random forests
  publication-title: BMC Bioinform.
  doi: 10.1186/1471-2105-9-307
  contributor:
    fullname: Strobl
– year: 1972
  ident: 10.1016/j.geoderma.2016.09.019_bb0155
  contributor:
    fullname: Grivas
– volume: 181
  start-page: 1
  year: 2005
  ident: 10.1016/j.geoderma.2016.09.019_bb0365
  article-title: The application of classification tree analysis to soil type prediction in a desert landscape
  publication-title: Ecol. Model.
  doi: 10.1016/j.ecolmodel.2004.06.036
  contributor:
    fullname: Scull
– year: 2009
  ident: 10.1016/j.geoderma.2016.09.019_bb0160
  contributor:
    fullname: Hastie
– year: 1978
  ident: 10.1016/j.geoderma.2016.09.019_bb0210
  contributor:
    fullname: Koudounas
– year: 1968
  ident: 10.1016/j.geoderma.2016.09.019_bb0390
  contributor:
    fullname: Soteriades
– year: 1941
  ident: 10.1016/j.geoderma.2016.09.019_bb0195
  contributor:
    fullname: Jenny
– volume: 209–210
  start-page: 1
  year: 2013
  ident: 10.1016/j.geoderma.2016.09.019_bb0340
  article-title: Regional scale mapping of soil properties and their uncertainty with a large number of satellite-derived covariates
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2013.05.029
  contributor:
    fullname: Poggio
– volume: 4
  start-page: 399
  year: 1990
  ident: 10.1016/j.geoderma.2016.09.019_bb0035
  article-title: Positional uncertainty in manually digitized map data
  publication-title: Intl. Jr. Geog. Info.
  doi: 10.1080/02693799008941555
  contributor:
    fullname: Bolstad
– volume: 88
  start-page: 194
  year: 2013
  ident: 10.1016/j.geoderma.2016.09.019_bb0020
  article-title: Landuse and climate control the spatial distribution of soil types in the grasslands of Inner Mongolia
  publication-title: J. Arid Environ.
  doi: 10.1016/j.jaridenv.2012.08.004
  contributor:
    fullname: Barthold
– year: 2004
  ident: 10.1016/j.geoderma.2016.09.019_bb0350
  contributor:
    fullname: Robins
– year: 1980
  ident: 10.1016/j.geoderma.2016.09.019_bb0235
  contributor:
    fullname: Koumis
– volume: 22
  start-page: 943
  year: 1991
  ident: 10.1016/j.geoderma.2016.09.019_bb0380
  article-title: A comparison of some methods for soil organic carbon determination
  publication-title: Commun. Soil Sci. Plant Anal.
  doi: 10.1080/00103629109368465
  contributor:
    fullname: Soon
– volume: 2
  start-page: 493
  year: 2012
  ident: 10.1016/j.geoderma.2016.09.019_bb0040
  article-title: Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
  publication-title: WIREs Data Mining Knowl. Discov.
  doi: 10.1002/widm.1072
  contributor:
    fullname: Boulesteix
– volume: 12
  start-page: 349
  year: 2012
  ident: 10.1016/j.geoderma.2016.09.019_bb0080
  article-title: Anthropogenic versus lithological influences on soil geochemical patterns in Cyprus
  publication-title: Geochem. Explor. Environ. Anal.
  doi: 10.1144/geochem2011-111
  contributor:
    fullname: Cohen
– volume: 171–172
  start-page: 75
  year: 2012
  ident: 10.1016/j.geoderma.2016.09.019_bb0275
  article-title: Extrapolation at regional scale of local soil knowledge using boosted classification trees: a two-step approach
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2011.03.010
  contributor:
    fullname: Lemercier
– volume: 56
  start-page: 80
  year: 2015
  ident: 10.1016/j.geoderma.2016.09.019_bb0345
  article-title: Reflections of the geological characteristics of Cyprus in soil rare earth element patterns
  publication-title: Appl. Geochem.
  doi: 10.1016/j.apgeochem.2015.02.011
  contributor:
    fullname: Ren
– volume: 271
  start-page: 202
  year: 2016
  ident: 10.1016/j.geoderma.2016.09.019_bb0005
  article-title: Total soil organic carbon and carbon sequestration potential in Nigeria
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2016.02.021
  contributor:
    fullname: Akpa
– year: 1970
  ident: 10.1016/j.geoderma.2016.09.019_bb0225
  contributor:
    fullname: Koumis
– volume: 146
  start-page: 138
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0360
  article-title: Instance selection and classification tree analysis for large spatial datasets in digital soil mapping
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2008.05.010
  contributor:
    fullname: Schmidt
– year: 2007
  ident: 10.1016/j.geoderma.2016.09.019_bb0255
  contributor:
    fullname: Lagacherie
– year: 1969
  ident: 10.1016/j.geoderma.2016.09.019_bb0400
  contributor:
    fullname: Soteriades
– volume: 57
  start-page: 202
  year: 2014
  ident: 10.1016/j.geoderma.2016.09.019_bb0445
  article-title: Holistic environmental soil–landscape modeling of soil organic carbon
  publication-title: Environ. Model. Softw.
  doi: 10.1016/j.envsoft.2014.03.004
  contributor:
    fullname: Xiong
– year: 1980
  ident: 10.1016/j.geoderma.2016.09.019_bb0240
  contributor:
    fullname: Koumis
– start-page: 37
  year: 2013
  ident: 10.1016/j.geoderma.2016.09.019_bb0465
  article-title: Chapter III, Soil Resources of Cyprus
  contributor:
    fullname: Zomeni
– volume: 263
  start-page: 226
  year: 2016
  ident: 10.1016/j.geoderma.2016.09.019_bb0265
  article-title: Deriving World Reference Base Reference Soil Groups from the prospective Global Soil Map product - a case study on major soil types of Africa
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2015.07.005
  contributor:
    fullname: Lang
– year: 2009
  ident: 10.1016/j.geoderma.2016.09.019_bb0320
  contributor:
    fullname: Noller
– ident: 10.1016/j.geoderma.2016.09.019_bb0065
  contributor:
    fullname: Büttner
– ident: 10.1016/j.geoderma.2016.09.019_bb0130
– year: 1975
  ident: 10.1016/j.geoderma.2016.09.019_bb0295
  contributor:
    fullname: Markides
– year: 1968
  ident: 10.1016/j.geoderma.2016.09.019_bb0395
  article-title: Soils Memoirs of Pafos, Sheet no
  contributor:
    fullname: Soteriades
– year: 1973
  ident: 10.1016/j.geoderma.2016.09.019_bb0290
  contributor:
    fullname: Markides
– start-page: 29
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0375
  article-title: Models of Topography
  contributor:
    fullname: Shary
– start-page: 179
  year: 2010
  ident: 10.1016/j.geoderma.2016.09.019_bb0425
  article-title: Random Forests applied as a soil spatial predictive model in Arid Utah
  contributor:
    fullname: Stum
– year: 1967
  ident: 10.1016/j.geoderma.2016.09.019_bb0385
  contributor:
    fullname: Soteriades
– year: 1968
  ident: 10.1016/j.geoderma.2016.09.019_bb0405
  contributor:
    fullname: Soteriades
– volume: 232–234
  start-page: 97
  year: 2014
  ident: 10.1016/j.geoderma.2016.09.019_bb0325
  article-title: Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2014.04.036
  contributor:
    fullname: Pahlavan Rad
– volume: 543
  start-page: 1019
  year: 2016
  ident: 10.1016/j.geoderma.2016.09.019_bb0030
  article-title: Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using AquaCrop and value-at-risk
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2015.07.035
  contributor:
    fullname: Bird
– year: 2013
  ident: 10.1016/j.geoderma.2016.09.019_bb0070
  contributor:
    fullname: Camera
– volume: 214–215
  start-page: 141
  year: 2014
  ident: 10.1016/j.geoderma.2016.09.019_bb0165
  article-title: Predictive soil parent material mapping at a regional-scale: a Random Forest approach
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2013.09.016
  contributor:
    fullname: Heung
– year: 1985
  ident: 10.1016/j.geoderma.2016.09.019_bb0300
  contributor:
    fullname: Markides
– year: 2015
  ident: 10.1016/j.geoderma.2016.09.019_bb0185
  article-title: World Reference Base for Soil Resources 2014, update 2015
  contributor:
    fullname: IUSS Working Group WRB
– volume: 146
  start-page: 1
  year: 2014
  ident: 10.1016/j.geoderma.2016.09.019_bb0455
  article-title: Distribution of water-soluble inorganic ions in the soils of Cyprus
  publication-title: J. Geochem. Explor.
  doi: 10.1016/j.gexplo.2014.07.004
  contributor:
    fullname: Zissimos
– volume: 28
  start-page: 1
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0245
  article-title: Building predictive models in R using the caret package
  publication-title: J. Stat. Softw.
  doi: 10.18637/jss.v028.i05
  contributor:
    fullname: Kuhn
– volume: 269
  start-page: 160
  year: 2016
  ident: 10.1016/j.geoderma.2016.09.019_bb0410
  article-title: Digital mapping of soil organic and inorganic carbon status in India
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2016.02.002
  contributor:
    fullname: Sreenivas
– volume: 340
  start-page: 7
  year: 2011
  ident: 10.1016/j.geoderma.2016.09.019_bb0440
  article-title: Digital mapping of soil organic matter stocks using random forest modeling in a semi-arid steppe ecosystem
  publication-title: Plant Soil
  doi: 10.1007/s11104-010-0425-z
  contributor:
    fullname: Wiesmeier
– volume: 45
  start-page: 5
  year: 2001
  ident: 10.1016/j.geoderma.2016.09.019_bb0045
  article-title: Random forests
  publication-title: Mach. Learn.
  doi: 10.1023/A:1010933404324
  contributor:
    fullname: Breiman
– year: 2016
  ident: 10.1016/j.geoderma.2016.09.019_bb0110
  article-title: Combining qualitative and quantitative methods for soil erosion assessments: an application in a sloping Mediterranean watershed, Cyprus
  publication-title: Land Degrad. Dev.
  contributor:
    fullname: Djuma
– year: 1969
  ident: 10.1016/j.geoderma.2016.09.019_bb0145
  contributor:
    fullname: Grivas
– ident: 10.1016/j.geoderma.2016.09.019_bb0175
  contributor:
    fullname: Hijmans
– year: 2012
  ident: 10.1016/j.geoderma.2016.09.019_bb0460
  contributor:
    fullname: Zomeni
– year: 1969
  ident: 10.1016/j.geoderma.2016.09.019_bb0285
  contributor:
    fullname: Markides
– volume: 39
  start-page: 2335
  year: 2012
  ident: 10.1016/j.geoderma.2016.09.019_bb0120
  article-title: Long-term agrarian landscapes in the Troodos foothills, Cyprus
  publication-title: J. Archaeol. Sci.
  doi: 10.1016/j.jas.2012.02.010
  contributor:
    fullname: Fall
– ident: 10.1016/j.geoderma.2016.09.019_bb0280
  contributor:
    fullname: Liaw
– volume: 264
  start-page: 301
  year: 2016
  ident: 10.1016/j.geoderma.2016.09.019_bb0315
  article-title: Digital soil mapping: a brief history and some lessons
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2015.07.017
  contributor:
    fullname: Minasny
– year: 1988
  ident: 10.1016/j.geoderma.2016.09.019_bb0150
  article-title: Development of Land Resources in Cyprus
  contributor:
    fullname: Grivas
– start-page: 173
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0270
  article-title: Digital soil mapping at a national scale: A knowledge and GIS based approach to improving parent material and property information
  contributor:
    fullname: Lawley
– volume: 7
  year: 2006
  ident: 10.1016/j.geoderma.2016.09.019_bb0105
  article-title: Gene selection and classification of microarray data using random forest
  publication-title: BMC Bioinform.
  contributor:
    fullname: Diaz-Uriate
– volume: 27
  start-page: 171
  year: 2003
  ident: 10.1016/j.geoderma.2016.09.019_bb0370
  article-title: Predictive soil mapping: a review
  publication-title: Prog. Phys. Geogr.
  doi: 10.1191/0309133303pp366ra
  contributor:
    fullname: Scull
– volume: 77
  start-page: 8
  year: 2009
  ident: 10.1016/j.geoderma.2016.09.019_bb0100
  article-title: Spatial prediction of soil classes using digital terrain analysis and multinomial logistic regression modeling integrated in GIS: examples from Vestfold County, Norway
  publication-title: Catena
  doi: 10.1016/j.catena.2008.12.001
  contributor:
    fullname: Debella-Gilo
– year: 1970
  ident: 10.1016/j.geoderma.2016.09.019_bb0220
  contributor:
    fullname: Koumis
– volume: 253
  start-page: 67
  year: 2015
  ident: 10.1016/j.geoderma.2016.09.019_bb0430
  article-title: Comparing data mining classifiers to predict spatial distribution of USDA-family soil groups in Baneh Region, Iran
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2015.04.008
  contributor:
    fullname: Taghizadeh-Mehrjardi
– year: 1970
  ident: 10.1016/j.geoderma.2016.09.019_bb0215
  contributor:
    fullname: Koumis
– volume: 65
  start-page: 283
  year: 1995
  ident: 10.1016/j.geoderma.2016.09.019_bb0250
  article-title: A soil survey procedure using the knowledge of soil pattern established on a previously mapped reference area
  publication-title: Geoderma
  doi: 10.1016/0016-7061(94)00040-H
  contributor:
    fullname: Lagacherie
– year: 1980
  ident: 10.1016/j.geoderma.2016.09.019_bb0230
  contributor:
    fullname: Koumis
– year: 1985
  ident: 10.1016/j.geoderma.2016.09.019_bb0305
  contributor:
    fullname: Markides
– volume: 8
  start-page: 25
  year: 2007
  ident: 10.1016/j.geoderma.2016.09.019_bb0420
  article-title: Bias in random forest variable importance measures: illustrations, sources and a solution
  publication-title: BMC Bioinform.
  doi: 10.1186/1471-2105-8-25
  contributor:
    fullname: Strobl
– volume: 155
  start-page: 175
  year: 2010
  ident: 10.1016/j.geoderma.2016.09.019_bb0025
  article-title: Multi-scale digital terrain analysis and feature selection for digital soil mapping
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2009.07.010
  contributor:
    fullname: Behrens
– volume: 117
  start-page: 3
  year: 2003
  ident: 10.1016/j.geoderma.2016.09.019_bb0310
  article-title: On digital soil mapping
  publication-title: Geoderma
  doi: 10.1016/S0016-7061(03)00223-4
  contributor:
    fullname: McBratney
– volume: 23
  start-page: 1049
  year: 2008
  ident: 10.1016/j.geoderma.2016.09.019_bb0335
  article-title: Wetland vegetation distribution modelling for the identification of constraining environmental variables
  publication-title: Landsc. Ecol.
  doi: 10.1007/s10980-008-9261-4
  contributor:
    fullname: Peters
– ident: 10.1016/j.geoderma.2016.09.019_bb0190
  doi: 10.1111/j.1365-2389.2012.01425.x
– volume: 1
  start-page: 21
  year: 2014
  ident: 10.1016/j.geoderma.2016.09.019_bb0095
  article-title: Refining a reconnaissance soil map by calibrating regression models with data from the same map (Normandy, France)
  publication-title: Geoderma Reg.
  doi: 10.1016/j.geodrs.2014.07.001
  contributor:
    fullname: Collard
– volume: 139
  start-page: 232
  year: 2016
  ident: 10.1016/j.geoderma.2016.09.019_bb0075
  article-title: Spatial prediction of soil surface texture in a semiarid region using random forest and multiple linear regressions
  publication-title: Catena
  doi: 10.1016/j.catena.2016.01.001
  contributor:
    fullname: Chagas
– volume: 151
  start-page: 311
  year: 2009
  ident: 10.1016/j.geoderma.2016.09.019_bb0200
  article-title: Updating the 1:50,000 Dutch soil map using legacy soil data: a multinomial logistic regression approach
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2009.04.023
  contributor:
    fullname: Kempen
– volume: 76
  start-page: 2097
  issue: 6
  year: 2012
  ident: 10.1016/j.geoderma.2016.09.019_bb0205
  article-title: Efficiency comparison of conventional and digital soil mapping for updating soil maps
  publication-title: Soil Sci. Soc. Am. J.
  doi: 10.2136/sssaj2011.0424
  contributor:
    fullname: Kempen
SSID ssj0017020
Score 2.5622792
Snippet Fine-resolution soil maps constitute important data for many different environmental studies. Digital soil mapping techniques represent a cost-effective method...
SourceID crossref
elsevier
SourceType Aggregation Database
Publisher
StartPage 35
SubjectTerms Cyprus
Digital soil mapping
Model optimization
Random Forest
Soil landscape model
World Reference Base
Title A high resolution map of soil types and physical properties for Cyprus: A digital soil mapping optimization
URI https://dx.doi.org/10.1016/j.geoderma.2016.09.019
Volume 285
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwED71scCAeIryqDywhjap4zRsUUVVQOpUpG6RXdtVC22iPgYWfjt3qYOKhMTAGuki67N1393Z9x3AHQmi-Do0nkb68jj1AMcmkB7SiewqbblUhdrnUAxe-fM4HFegV_bC0LNK5_t3Pr3w1u5Ly6HZymcz6vH1RYR0hBEF6cbxKtSRjjivQT15ehkMvy8TorZTZ_SFRwZ7jcJz3CaaOVZIEPmikDwl0Z3fOGqPd_rHcOQCRpbs1nQCFbM8hcNkunKiGeYM3hJGqsMMM2d3kNhC5iyzbJ3N3hlVWddMLjXL3aawnErwK9JSZRi0st5HvtquH1jC9GxKU0R2hvgT6qZiGbqVhevXPIdR_3HUG3huiIInMfnceJxHWnWiiRC2w0MZoKMN6e6VqygQE66DidTW2FBOpCQYlZDGtm0kEcu4qzoXUFtmS3MJrMt1aCXHfE4IHvtGCbTqtq0KuDRhIBvQKlFL851URlq-IZunJc4p4Zy24xRxbkBcgpv-2PQU_fkftlf_sL2Gg4DYuaik3EBts9qaW4wtNqoJ1ftPv-lO0BdUa9Do
link.rule.ids 315,786,790,4521,24144,27955,27956,45618,45712
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELZKGYAB8RTl6YE1tEkdp2GLKqoCpVORull2bVcttIn6GFj47dwlDioSEgNrlLOiz9Z9d87dd4TcoiCKr0PjaaAvj2EPcGwC6QGdyJbSlkmVq332efeVPQ3DYYW0y14YLKt0vr_w6bm3dk_qDs16Nplgj6_PI6AjiChQN45tkW2MBrCu6-7zu87DjxpOm9HnHr6-0SY8hU3CiWO5AJHPc8FTlNz5jaE2WKdzQPZduEiT4osOScXMj8heMl44yQxzTN4SiprDFPJmd4zoTGY0tXSZTt4p3rEuqZxrmrktoRlewC9QSZVCyErbH9livbynCdWTMc4QKQxhEeyloik4lZnr1jwhg87DoN313AgFT0LqufIYi7RqRiPObZOFMgA3G-KfV6aigI-YDkZSW2NDOZISQVRcGtuwkQRij1uqeUqq83RuzghtMR1aySCb45zFvlEcrFoNqwImTRjIGqmXqImsEMoQZQXZVJQ4C8RZNGIBONdIXIIrfmy5AG_-h-35P2xvyE538NITvcf-8wXZDZCn8zuVS1JdLdbmCqKMlbrOT9EXMKPRvQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+high+resolution+map+of+soil+types+and+physical+properties+for+Cyprus%3A+A+digital+soil+mapping+optimization&rft.jtitle=Geoderma&rft.au=Camera%2C+Corrado&rft.au=Zomeni%2C+Zomenia&rft.au=Noller%2C+Jay+S.&rft.au=Zissimos%2C+Andreas+M.&rft.date=2017-01-01&rft.issn=0016-7061&rft.volume=285&rft.spage=35&rft.epage=49&rft_id=info:doi/10.1016%2Fj.geoderma.2016.09.019&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_geoderma_2016_09_019
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0016-7061&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0016-7061&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0016-7061&client=summon