Bartsch, Annett

Krosleitner, Christine

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0 PAGE21 WP5  Product Guide Circumpolar Landscape Units             2016 April   i This document is the product guide for the version 1 release of the circum-polar landscape units. It has been compiled for the PAGE21 project (FP7 – ENV - 2011 GRANT AGREEMENT NO: 282700), a project coordinated by the Alfred –Wegener -Institute for Polar and Marine Research. It is based on the deliverable document D5.2 ‘Upscaling of spatially explicit project re-sults for the whole continental arctic region, for the 2000-2013 snow-free periods’                   Consortium member:  Department of Geodesy and Geoinformation (GEO) Research Group Remote Sensing   Vienna University of Technology Gußhausstrasse 27-29/E122 1040 Vienna, Austria  permafrost@ipf.tuwien.ac.at www.geo.tuwien.ac.at   Status: Issue 1.0 Authors: Bartsch, A. (TUW), Kroisleitner C. (TUW),  Widhalm, B. (TUW) Circulation:  public Amendments:  Issue Date Details Editor Issue 1.0 2016-02-09 V1 Data documentation extracted from deliverable document D5.2 CK,AB   2 1 Contents 1 Contents ........................................................................................................ 2 2 Dataset overview .......................................................................................... 3 3 Data specification ......................................................................................... 3 3.1 File naming ........................................................................................... 3 3.2 Data Description .................................................................................. 4 3.3 Input – Data Specification .................................................................... 6 3.3.1 C-Band Backscatter (SAR) ................................................................. 8 3.3.2 MODIS MAST .................................................................................... 9 3.3.3 MODIS LST – Summer Amplitude ..................................................... 9 3.3.4 MODIS LST Summer – Maximum ...................................................10 3.3.5 Unfrozen period length ..................................................................11 3.3.6 First day frozen ...............................................................................11 3.3.7 First day unfrozen ..........................................................................12 3.3.8 Slope ...............................................................................................13 4 Data access and contact information .........................................................14 5 References ..................................................................................................14         3 2 Dataset overview This dataset provides landscape units for the pan-Arctic which have been derived for upscaling purposes as part of the PAGE21 work package 5.  Parameters relevant for geomorphological observations and carbon pools have been mostly selected from existing databases. The best differentiation of landscape units was obtained by using: Topographic Wetness Index, SAR backscatter, Land Surface Temperature (July and August), unfrozen period length, the slope steeper  than 3°, Mean annual Surface Temperature, day first frozen, day first unfrozen and Land surface temperature Amplitude (July and August).  This dataset comprises the landscape units as well as all input datasets (in case of applied post-processing of the original data source) in geotiff for-mat.  More details on the retrieval and datasets is provided in Bartsch et al. 2016.   3 Data specification 3.1 File naming File name: OOO_SSSSS_PPP_VVV_YYYYMMDD_ROI.EEE   Where  OOO="organisation", e.g. TUW  SSSSSS="mode "  e.g. ISO = Isocluster  PPP="product"  VVV="product version"  YYYYMMDD= "acquisition date and time" (or year range YYYY_YYYY) ROI = “region/site of interest”   CIR -  circumpolar”  EEE="file extension", e.g. tif  Product codes  LSU = Land Scape Units  WDB = Winter Backscatter in dB AMP = Land Surface Temperature MAX = Maximum MST = Mean annual surface temperature UFP = Unfrozen Period Length FDF = First day Frozen FDU = First day unfrozen SLO = Slope      4      3.2 Data Description  Figure 1: Circumpolar landscape units and location of PAGE21 sites   Table 1: Landscape units product description      Subject Specification Variable Landscape units  Time period different Input – Time periods, see Table 3 Coordinate system Polar Stereographic Spatial resolution 25km Data format Geo tif  Data fields Circumpolar Unit : distinct Units (12) with specific properties      5     Table 2: Landscape unit description and PAGE21 sites (multiple allocation in transition zones) Units Site Topography Average gradi-ent+STD Specific properties Average days of un-frozen P. Unit 1 SPA,TIK 1° / Stdv = 1° low MAST, high JJA Amplitude 128   Unit 2 SPA, KYT, CHE, SAM,TIK 1° / Stdv = 2° low MAST , low JJA Amplitude, Late first unfrozen day 114  Unit 3  3° / Stdv = 5° medium first unfrozen day, low max LST 125  Unit 4  3° / Stdv = 4° Medium STD of first unfrozen day and max LST, high average max JJA LST, low max LST summer amplitude 133  Unit 5 ABI 2° / Stdv = 4° high MAST , high average  max  LST 138  Unit 6 ABI 2° / Stdv = 3° High STD max LST and low STD for frozen/unfrozen day 130  Unit 7 DAR, ADV, NYA 1° / Stdv = 3° Low MAST with low STD, medium LST summer ampli-tude 116 Unit 8  4° / Stdv = 6° High MAST an high STD for unfrozen day 134  Unit 9 DAR 3° / Stdv = 5° High max LST with medium STD 128  Unit 10 NOS, ADV 1° / Stdv = 1° Low MAST with low STD, high summer LST amplitude, high STD for first unfrozen day 122  Unit 11 HER 1° / Stdv = 3° high max LST amplitude with low max LST STD 135  Unit 12 VOR 1° / Stdv = 2° Medium max LST with low STD 136 SPA = Spasskaya Pad, TIK = Tiksi, KYT = Kytalyk, CHE = Cherskii, SAM = Samoylov,  TIK = , ABI = Abisko, DAR = Daring lake, NOS = Norh Slope, VOR = Vorkuta,  HER = Herschel Island, ADV=Adventdalen, NYA=Ny Alesund        6 3.3 Input – Data Specification Parameters which can be identified with satellite data and are relevant for soil processes and especially land-atmosphere exchange have been assessed for the retrieval of a circumpolar landscape units map as proposed in the Descrip-tion of Work of the PAGE21 project.   In a first step these have been assessed for redundancy in information content. Correlations are presented in Bartsch et al. (2016) Several layers have been excluded due to high correlation with other layers (e.g. NDVI).   Table 3: Specifications and sources of used circumpolar datasets (from Bartsch et al. 2016). All datasets except the TWI have been post-processed by TU Wien before application within the frame work of PAGE21. Derived parameter Source Spatial reso-lution Time period Topographic Wetness Index (TWI) Marthews et al. 2015 0,004167 ° - Slope > 3° Santoro et al. 2012 (ESA DUE Permafrost) 100m - LST Maximum Summer (July/Aug)   MODIS, Duguay et al. 2014 (ESA DUE Permafrost)  25km 2000 - 2013 LST July/Aug amplitude  25km 2000 - 2013 MODIS mean annual surface temperature  25km 2000 - 2013 Length of unfrozen pe-riod in days  Metop ASCAT, Paulik et al. 2014  (ESA DUE Permafrost) 25km 2007 - 2013 Average first unfrozen day of year 25km 2007 - 2013 C-Band backscatter (SAR) (winter) ENVISAT ASAR GM,  Widhalm et al. 2015 1km 2005 - 2012        7  Figure 2: Circumpolar TWI (resampled to 25km²; source Marthews et al. 2015        8  3.3.1 C-Band Backscatter (SAR)   A circumpolar representative and consistent wetland map is required for a range of appli-cations spanning from up-scaling of carbon fluxes and pools to climate modelling and wild-life habitat assessments. Currently available datasets lack sufficient accuracy and/or the-matic detail in many regions of the Arctic. The development of the novel wetness level map has been described in Widhalm et al. (2015). Circumpolar ENVISAT ASAR GM backscatter (1km resolution, 500m nominal resolution) data have been explored in subarc-tic and arctic environments with special emphasis on spatial wetness patterns.      Figure 3: C-band winter backscatter from ENVISAT ASAR GM in dB (Widhalm et al. 2015)          9          3.3.2 MODIS MAST  This dataset provides the Mean Annual Surface Temperature for the pan-arctic area (60°N) derived from MODIS data for the years 2000-2013.    Figure 4: Mean annual surface temperature in Kelvin (derived from Duguay et al. 2014)  3.3.3 MODIS LST – Summer Amplitude This dataset provides the Summer Amplitude of Surface Temperature for the pan-arctic area (60°N) derived from MODIS data for the years 2000-2013.                        Figure 5: MODIS Landsurface temperature July/August Amplitude in Kelvin (de-rived from Duguay et al. 2014)      10    3.3.4 MODIS LST Summer – Maximum  This dataset provides the Summer (July,August) Maximum of Surface Temperature for the pan-arctic area (60°N) derived from MODIS data for the years 2000-2013.     Figure 6: MODIS Landsurface temperature maximum in Kelvin (derived from Duguay et al. 2014)         11  3.3.5 Unfrozen period length  The unfrozen days dataset were produced using records for frozen/unfrozen land surface, which are available from Metop ASCAT (since 2007, Paulik et al. 2014). By subtracting the first unfrozen day from the first frozen day, the unfrozen Period was calculated.   Figure 7: Length of unfrozen period in days (derived from Paulik et al. 2014)  3.3.6 First day frozen The first day frozen dataset were produced using records for frozen/unfrozen land surface, which are available from Metop ASCAT (since 2007, Paulik et al. 2014). Starting with August, the first day frozen for every pixel where assigned with the day number of the year. An av-erage were created for the 7 annual layers.   Figure 8: First day frozen (derived from Paulik et al. 2014)        12 3.3.7 First day unfrozen The first day unfrozen dataset were produced using records for frozen/unfro-zen land surface, which are available from Metop ASCAT (since 2007, Paulik et al. 2014). Starting with January, the first day unfrozen for every pixel where assigned with the day number of the year.  An average were created for the 7 annual layers.       Figure 9: first day unfrozen (derived from Paulik et al. 2014)          13  3.3.8 Slope This dataset provides the information if the area is flat (0) or sloped (1) with at least 3° gra-dient. It was produced using the circumpolar digital elevation model > 55° North (Santoro et al. 2012)    Figure 10: Slope units derived from Santoro et al. 2012       14 4 Data access and contact information Data can be accessed via PANGAEA (www.pangaea.de) and should be cited as supplement to Annett Bartsch, Christine Kroisleitner, Birgit Heim, (2016): An Assessment of Permafrost Long-term monitoring sites with circumpolar satellite derived datasets. Proceedings of the ESA Living Planet Symposium 2016. ESA SP-740.   For questions about the dataset, contact Annett.Bartsch@tuwien.ac.at.  Additional information on the Project can be found at www.page21.eu 5 References Bartsch, A., Christine Kroisleitner, Birgit Heim, (2016): An Assessment of Permafrost Long-term monitoring sites with circumpolar satellite derived datasets. Proceedings of the ESA Living Planet Sym-posium 2016. ESA SP-740.  Duguay, Claude R; Soliman, Aiman; Hachem, Sonia; Saunders, William (2014): Circumpolar and re-gional Land Surface Temperature (version 2) with links to geotiff images (2007-01 to 2013-12). Univer-sity of Waterloo, Canada, doi:10.1594/PANGAEA.836729  Marthews TR, Dadson SJ, Lehner B, Abele S & Gedney N (2015). High-resolution global topographic index values for use in large-scale hydrological modelling. Hydrology and Earth System Science 19:91-104.  Paulik, Christoph; Melzer, Thomas; Hahn, Sebastian; Bartsch, Annett; Heim, Birgit; Elger, Kirsten; Wagner, Wolfgang (2014): Circumpolar surface soil moisture and freeze/thaw surface status remote sensing products (version 4) with links to geotiff images and netCDF files (2007-01 to 2013-12). De-partment of Geodesy and Geoinformatics, TU Vienna, doi:10.1594/PANGAEA.832153.  Santoro, Maurizio; Strozzi, Tazio (2012): Circumpolar digital elevation models > 55 N with links to geotiff images, GAMMA Remote Sensing, doi:10.1594/PANGAEA.779748  Soliman, Aiman; Duguay, Claude R; Saunders, William; Hachem, Sonia (2012): Pan-Arctic Land Sur-face Temperature from MODIS and AATSR: Product Development and Intercomparison. Remote Sens-ing, 4(12), 3833-3856, doi:10.3390/rs4123833  USGS 1998: http://agdc.usgs.gov/data/usgs/erosafo/veg/vegetation.html  Widhalm,  B.;  Bartsch,  A.;  Heim,  B. (2015) A  novel  approach  for  the  characterization  of  tundra  wetland regions  with  C-band  SAR  satellite  data. INTERNATIONAL  JOURNAL  OF  REMOTE  SENSING 2015, 36, 5537–5556.  

PAGE21 WP5 - Product Guide Circumpolar Landscape Units

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