Update to ver004

CHANGELOG.txt

@@ -1,7 +1,41 @@
+_________________________________________________________________________
+Version 004:
+
+- Updated underlying Copernicus data to version V.3.0.1. See technical documents here https://zenodo.org/communities/copernicus-land-cover?page=1&size=20
+
+- Added changemasks for the years 2016-2019. The changemasks are exported at 100m as change in class (new class) and at 1km as change in fractional cover (before-after).
+
+- Added description for many IUCN Marine classes in 9.X Marine Neritic, 10.X Marine Oceanic, 11.X Marine Deep Ocean Floor and 12.X Marine Intertidal. Specifically the classes added were: 9. Marine Neritic, 9.1. Marine Neritic – Pelagic, 9.8. Marine Neritic – Coral Reef, 9.9 Seagrass (Submerged), 10 Marine Oceanic, 10.1 Epipelagic (0–200 m), 10.2 Mesopelagic (200–1,000 m), 10.3 Bathypelagic (1,000–4,000 m), 10.4 Abyssopelagic (4,000–6,000 m), 11 Marine Deep Ocean Floor (Benthic and Demersal), 11.1 Continental Slope/Bathyl Zone (200–4,000 m), 11.2 Abyssal Plain (4,000–6,000 m), 11.3 Abyssal Mountain/Hills (4,000–6,000 m), 11.4 Hadal/Deep Sea Trench (>6,000 m), 11.5 Seamount, 11.6 Deep Sea Vents (Rifts/Seeps), 12 Marine Intertidal, 12.6 Tidepools, 12.7 Mangrove Submerged Roots
+
+Used data sources:
+Amante, C. and B. W. Eakins, ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24, 19 pp, March 2009.
+
+Becker, J. J., Sandwell, D. T., Smith, W. H. F., Braud, J., Binder, B., Depner, J. L., ... & Ladner, R. (2009). Global bathymetry and elevation data at 30 arc seconds resolution: SRTM30_PLUS. Marine Geodesy, 32(4), 355-371.
+
+Harris, P. T., Macmillan-Lawler, M., Rupp, J., & Baker, E. K. (2014). Geomorphology of the oceans. Marine Geology, 352, 4-24.
+Burke, L., Reytar, K., Spalding, M., & Perry, A. (2011). Reefs at risk revisited. World Resources Institute. https://www.wri.org/publication/reefs-risk-revisited
+
+Jayathilake D.R.M., Costello M.J. (2018). A modelled global distribution of the seagrass biome. Biological Conservation. https://doi.org/10.1016/j.biocon.2018.07.009 https://data.unep-wcmc.org/datasets/46 
+
+Ramirez-Llodra, E. and M.C. Baker. (2006) Data on the location of hydrothermal vents. Biogeography of Chemosynthetic Ecosystems (ChEss) Project (www.noc.soton.ac.uk/chess). https://adaptwest.databasin.org/datasets/1c6af28887364008969f94c7e9df796e 
+
+Yesson, C., Clark, M. R., Taylor, M. L., & Rogers, A. D. (2011). The global distribution of seamounts based on 30 arc seconds bathymetry data. Deep Sea Research Part I: Oceanographic Research Papers, 58(4), 442-453. https://doi.pangaea.de/10.1594/PANGAEA.757564 
+
+- Marine Oceanic classes and the pelagic Neritic class (9.1) are __not__ mapped in the global composite map, but instead supplied separetely in the fractional exports
+
+- Changed data source for Mangrove class (Class 1.7) to Bunting et al. (2018) for the year 2015 to 2018. 
+Bunting P., Rosenqvist A., Lucas R., Rebelo L-M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C.M. (2018). The Global Mangrove Watch – a New 2010 Global Baseline of Mangrove Extent. Remote Sensing 10(10): 1669. doi: 10.3390/rs1010669. https://data.unep-wcmc.org/datasets/45
+
+- Improved mapping of Mangrove classes around the globe, in part overriding the mapped Copernicus land cover class, for instance if Global Mangrove Watch identifies a Mangrove, but Copernicus indicates vegetation of only height shrubland
+
+- Changed mapping of moist savanna's, now mapping wetlands and moist savannas in the everglade and pantanal better.
+
+_________________________________________________________________________
 Version 003:
 - Updated Koeppen climate zones (Beck et al.) and biomes layer with a region growth version (increase by 5km). This accounts for small mismatches between Copernicus land area near coastlines which previously resulted in lvl1 classes being mapped to lvl2.
 - Fixed remote sensing issues (stripes) in the Kaspian see that originated from Copernicus land cover.
 
+_________________________________________________________________________
 Version 002:
 - Updated plantation layer to newest estimates. Major improvements in SE-Asia and Russia particular
 - Used Improved Small field size from Lesiv et al.
@@ -10,5 +44,6 @@ Version 002:
 - Criteria for Rocky habitat (6.) adjusted, mapping overall less
 - Switched to Copernicus Land-cover asset available directly from GEE
 
+_________________________________________________________________________
 Version 001:
 - Initial Release

KNOWNISSUES.txt

@@ -1,7 +1,21 @@
-Known Issues:
+Known Issues as of version 004:
 
 - There can be underestimates of pastoral land in South Africa, Brazil and East Asia due to the conservative pasture mask being used.
 
-- Some coastal cells might not be mapped from level 1 to level 2 owing to a lack of harmonizations between existing combinations of input layers. To be fixed in future versions
+- Owing to the scale of the Copernicus land cover and Global Lakes of the World (GLWD) data some rivers can be missed and seasonal dynamics misclassified. 
 
-- Owing to the scale of the Copernicus land cover and Global Lakes of the World (GLWD) data some rivers can be missed and seasonal dynamics misclassified
+- Tidal wetlands still need to better distinguished from inland wetlands.
+
+- The Copernicus Land cover data has known artifacts (linear break) at the dateline (>180° - 0° Longitude) break.
+
+- Some errors can remain, particularly for the Copernicus Land cover data set. A list of known Limitations is given here on Page 142 (https://zenodo.org/record/3938968)
+
+- Between Copernicus v.2 and v.3 the grid cells shifted slightly in Longitude, therefore causing misalignement with the forest management layer.
+
+- The global potential seagrass layer is likely overestimated.
+
+- Land cover in the northern polar regions (Antarctica and Northpole) is a guess as the global Copernicus Land cover product does not extend that far (latitudinal range: -60 to 80). Therefore those areas are mapped as Desert / Icy Desert by default. Users interested in polar land cover are therefore encouraged to search for regional habitat and land cover products.
+
+- (Reported by Renato Augusto Ferreira de Lima) The Serra do Espinhaço range in Brazil which is mainly covered by exposed rocks and high altitude grasslands/shrublands, while the map currently indicates pasture. This will probably be fixed when better pasture data becomes available.
+
+- (Reported by Renato Augusto Ferreira de Lima) The upper Rio Negro region (Brazil, Coombia and Venezuela) is known by the occurrence of Campinaranas (similar to heat forests) over white-sand soils, ranging from grass lands to small forests. These habitats are currently not represented, probably because of fine-scale errors in Copernicus Land cover data.

README.md

@@ -6,7 +6,7 @@ The most recent version of the habitat type layer will be contained in this repo
 
 To run the code for creating the habitat type map an account on Google Earth Engine is necessary. No Python code was developed as part of this project. Note that while the code for the habitat type map is openly available, the underlying datasets ('assets' in Google Earth Engine) are not all (yet) publicly available. Assets can be shared depending on the request, however there is no guarantee that I will host all original input assets for long, since they might change as improved data becomes available.
 
-If you want to suggest edits to the map, please use the issue functionality in github.
+If you want to suggest edits to the map, please use the issue functionality in github or directly fork the code and make a push request.
 
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