Changes
On September 23, 2024 at 9:36:52 AM +0100, David Donnelly:
-
Updated description of Peatland Drainage and Erosion Scotland from
##PeatNet - Machine learning based segmentation of peatland drainage channels and erosion features in Scotland ###Machine learning based segmentation of peatland drainage channels and erosion features in Scotland These datasets provide high resolution spatial estimates of the location and extent of peatland drainage and erosion features for restoration prioritisation, climate reporting, and management. Peat makes up approximately a quarter of Scotland's soil by area. Healthy, undisturbed, peatland habitats are critical to providing resilient biodiversity and habitat support, water management, and carbon sequestration. A high and stable water table is a prerequisite to maintain carbon sink function; any drainage turns this major terrestrial carbon store into a source that feeds back further to global climate change. Drainage and erosion features are crucial indicators of peatland condition and are key for estimating national greenhouse gas emissions. Previous work on mapping peat depth and condition in Scotland has provided maps with reasonable accuracy at 100-m resolution, allowing land managers and policymakers to both plan and manage these soils and to work towards identifying priority peat sites for restoration. However, the spatial variability of the surface condition is much finer than this scale, limiting the ability to inventory greenhouse gas emissions or develop site-specific restoration and management plans. This work involves an updated set of mapping using high-resolution (25 cm) aerial imagery, which provides the ability to identify and segment individual drainage channels and erosion features. Combining this imagery with a classical deep learning-based segmentation model enables high spatial resolution, national scale mapping to be carried out allowing for a deeper understanding of Scotland's peatland resource and which will enable various future analyses using these data. DOI: 10.1111/ejss.13538 ###There are multiple layers contained within the overall results: ###Drainage 1. 10 m raster of unit area density 2. 100 m raster of unit area density 3. 500 m raster of unit area density 4. Polyline of the centre line of each drain 5. Polygon ~5 m wide showing the area of the drain itself 6. Polygon buffered to the 30 m drained area as per Peatland Action/IUCN reference ###Erosion 1. 10 m raster of unit area density 2. 100 m raster of unit area density 3. 500 m raster of unit area density 4. Polygon of each individual erosion feature.
to##PeatNet - Machine learning based segmentation of peatland drainage channels and erosion features in Scotland These datasets provide high resolution spatial estimates of the location and extent of peatland drainage and erosion features for restoration prioritisation, climate reporting, and management. Peat makes up approximately a quarter of Scotland's soil by area. Healthy, undisturbed, peatland habitats are critical to providing resilient biodiversity and habitat support, water management, and carbon sequestration. A high and stable water table is a prerequisite to maintain carbon sink function; any drainage turns this major terrestrial carbon store into a source that feeds back further to global climate change. Drainage and erosion features are crucial indicators of peatland condition and are key for estimating national greenhouse gas emissions. Previous work on mapping peat depth and condition in Scotland has provided maps with reasonable accuracy at 100-m resolution, allowing land managers and policymakers to both plan and manage these soils and to work towards identifying priority peat sites for restoration. However, the spatial variability of the surface condition is much finer than this scale, limiting the ability to inventory greenhouse gas emissions or develop site-specific restoration and management plans. This work involves an updated set of mapping using high-resolution (25 cm) aerial imagery, which provides the ability to identify and segment individual drainage channels and erosion features. Combining this imagery with a classical deep learning-based segmentation model enables high spatial resolution, national scale mapping to be carried out allowing for a deeper understanding of Scotland's peatland resource and which will enable various future analyses using these data. DOI: 10.1111/ejss.13538 ###There are multiple layers contained within the overall results: ###Drainage 1. 10 m raster of unit area density 2. 100 m raster of unit area density 3. 500 m raster of unit area density 4. Polyline of the centre line of each drain 5. Polygon ~5 m wide showing the area of the drain itself 6. Polygon buffered to the 30 m drained area as per Peatland Action/IUCN reference ###Erosion 1. 10 m raster of unit area density 2. 100 m raster of unit area density 3. 500 m raster of unit area density 4. Polygon of each individual erosion feature.
f | 1 | { | f | 1 | { |
2 | "author": "Fraser Macfarlane", | 2 | "author": "Fraser Macfarlane", | ||
3 | "author_email": "fraser.macfarlane@hutton.ac.uk", | 3 | "author_email": "fraser.macfarlane@hutton.ac.uk", | ||
4 | "cices_division": [], | 4 | "cices_division": [], | ||
5 | "cices_section": [ | 5 | "cices_section": [ | ||
6 | "Regulation and Maintenance" | 6 | "Regulation and Maintenance" | ||
7 | ], | 7 | ], | ||
8 | "country_code": [ | 8 | "country_code": [ | ||
9 | "uk" | 9 | "uk" | ||
10 | ], | 10 | ], | ||
11 | "creator_user_id": "39d3b17d-c8c9-400d-8e05-79a31db59cf9", | 11 | "creator_user_id": "39d3b17d-c8c9-400d-8e05-79a31db59cf9", | ||
12 | "extras": [], | 12 | "extras": [], | ||
13 | "gemet_theme": [ | 13 | "gemet_theme": [ | ||
14 | "soil" | 14 | "soil" | ||
15 | ], | 15 | ], | ||
16 | "groups": [], | 16 | "groups": [], | ||
17 | "id": "b0b8f21b-9bca-4caa-b1ab-fed0866f52a8", | 17 | "id": "b0b8f21b-9bca-4caa-b1ab-fed0866f52a8", | ||
18 | "isopen": true, | 18 | "isopen": true, | ||
19 | "license_id": "other-open", | 19 | "license_id": "other-open", | ||
20 | "license_title": "Other (Open)", | 20 | "license_title": "Other (Open)", | ||
21 | "maintainer": "Fraser Macfarlane", | 21 | "maintainer": "Fraser Macfarlane", | ||
22 | "maintainer_email": "fraser.macfarlane@hutton.ac.uk", | 22 | "maintainer_email": "fraser.macfarlane@hutton.ac.uk", | ||
23 | "metadata_created": "2024-09-23T08:06:47.510614", | 23 | "metadata_created": "2024-09-23T08:06:47.510614", | ||
n | 24 | "metadata_modified": "2024-09-23T08:35:50.419961", | n | 24 | "metadata_modified": "2024-09-23T08:36:52.236337", |
25 | "name": "peatland-drainage-and-erosion-scotland", | 25 | "name": "peatland-drainage-and-erosion-scotland", | ||
26 | "notes": "##PeatNet - Machine learning based segmentation of | 26 | "notes": "##PeatNet - Machine learning based segmentation of | ||
t | 27 | peatland drainage channels and erosion features in | t | ||
28 | Scotland\r\n###Machine learning based segmentation of peatland | ||||
29 | drainage channels and erosion features in Scotland\r\nThese datasets | 27 | peatland drainage channels and erosion features in Scotland\r\nThese | ||
30 | provide high resolution spatial estimates of the location and extent | 28 | datasets provide high resolution spatial estimates of the location and | ||
31 | of peatland drainage and erosion features for restoration | 29 | extent of peatland drainage and erosion features for restoration | ||
32 | prioritisation, climate reporting, and management.\r\n\r\nPeat makes | 30 | prioritisation, climate reporting, and management.\r\n\r\nPeat makes | ||
33 | up approximately a quarter of Scotland's soil by area. Healthy, | 31 | up approximately a quarter of Scotland's soil by area. Healthy, | ||
34 | undisturbed, peatland habitats are critical to providing resilient | 32 | undisturbed, peatland habitats are critical to providing resilient | ||
35 | biodiversity and habitat support, water management, and carbon | 33 | biodiversity and habitat support, water management, and carbon | ||
36 | sequestration. A high and stable water table is a prerequisite to | 34 | sequestration. A high and stable water table is a prerequisite to | ||
37 | maintain carbon sink function; any drainage turns this major | 35 | maintain carbon sink function; any drainage turns this major | ||
38 | terrestrial carbon store into a source that feeds back further to | 36 | terrestrial carbon store into a source that feeds back further to | ||
39 | global climate change. Drainage and erosion features are crucial | 37 | global climate change. Drainage and erosion features are crucial | ||
40 | indicators of peatland condition and are key for estimating national | 38 | indicators of peatland condition and are key for estimating national | ||
41 | greenhouse gas emissions. Previous work on mapping peat depth and | 39 | greenhouse gas emissions. Previous work on mapping peat depth and | ||
42 | condition in Scotland has provided maps with reasonable accuracy at | 40 | condition in Scotland has provided maps with reasonable accuracy at | ||
43 | 100-m resolution, allowing land managers and policymakers to both plan | 41 | 100-m resolution, allowing land managers and policymakers to both plan | ||
44 | and manage these soils and to work towards identifying priority peat | 42 | and manage these soils and to work towards identifying priority peat | ||
45 | sites for restoration. However, the spatial variability of the surface | 43 | sites for restoration. However, the spatial variability of the surface | ||
46 | condition is much finer than this scale, limiting the ability to | 44 | condition is much finer than this scale, limiting the ability to | ||
47 | inventory greenhouse gas emissions or develop site-specific | 45 | inventory greenhouse gas emissions or develop site-specific | ||
48 | restoration and management plans. This work involves an updated set of | 46 | restoration and management plans. This work involves an updated set of | ||
49 | mapping using high-resolution (25\u2009cm) aerial imagery, which | 47 | mapping using high-resolution (25\u2009cm) aerial imagery, which | ||
50 | provides the ability to identify and segment individual drainage | 48 | provides the ability to identify and segment individual drainage | ||
51 | channels and erosion features. Combining this imagery with a classical | 49 | channels and erosion features. Combining this imagery with a classical | ||
52 | deep learning-based segmentation model enables high spatial | 50 | deep learning-based segmentation model enables high spatial | ||
53 | resolution, national scale mapping to be carried out allowing for a | 51 | resolution, national scale mapping to be carried out allowing for a | ||
54 | deeper understanding of Scotland's peatland resource and which will | 52 | deeper understanding of Scotland's peatland resource and which will | ||
55 | enable various future analyses using these data.\r\n\r\nDOI: | 53 | enable various future analyses using these data.\r\n\r\nDOI: | ||
56 | 10.1111/ejss.13538\r\n\r\n###There are multiple layers contained | 54 | 10.1111/ejss.13538\r\n\r\n###There are multiple layers contained | ||
57 | within the overall results:\r\n###Drainage\r\n1.\t10 m raster of unit | 55 | within the overall results:\r\n###Drainage\r\n1.\t10 m raster of unit | ||
58 | area density\r\n2.\t100 m raster of unit area density\r\n3.\t500 m | 56 | area density\r\n2.\t100 m raster of unit area density\r\n3.\t500 m | ||
59 | raster of unit area density\r\n4.\tPolyline of the centre line of each | 57 | raster of unit area density\r\n4.\tPolyline of the centre line of each | ||
60 | drain\r\n5.\tPolygon ~5 m wide showing the area of the drain | 58 | drain\r\n5.\tPolygon ~5 m wide showing the area of the drain | ||
61 | itself\r\n6.\tPolygon buffered to the 30 m drained area as per | 59 | itself\r\n6.\tPolygon buffered to the 30 m drained area as per | ||
62 | Peatland Action/IUCN reference\r\n\r\n###Erosion\r\n1.\t10 m raster of | 60 | Peatland Action/IUCN reference\r\n\r\n###Erosion\r\n1.\t10 m raster of | ||
63 | unit area density\r\n2.\t100 m raster of unit area density\r\n3.\t500 | 61 | unit area density\r\n2.\t100 m raster of unit area density\r\n3.\t500 | ||
64 | m raster of unit area density\r\n4.\tPolygon of each individual | 62 | m raster of unit area density\r\n4.\tPolygon of each individual | ||
65 | erosion feature.\r\n", | 63 | erosion feature.\r\n", | ||
66 | "num_resources": 10, | 64 | "num_resources": 10, | ||
67 | "num_tags": 7, | 65 | "num_tags": 7, | ||
68 | "organization": { | 66 | "organization": { | ||
69 | "approval_status": "approved", | 67 | "approval_status": "approved", | ||
70 | "created": "2017-06-02T13:15:22.099414", | 68 | "created": "2017-06-02T13:15:22.099414", | ||
71 | "description": "The Institute combines strengths in crops, soils | 69 | "description": "The Institute combines strengths in crops, soils | ||
72 | and land use and environmental research, and makes a major | 70 | and land use and environmental research, and makes a major | ||
73 | contribution to the understanding of key global issues, such as food, | 71 | contribution to the understanding of key global issues, such as food, | ||
74 | energy and environmental security, and developing and promoting | 72 | energy and environmental security, and developing and promoting | ||
75 | effective technological and management solutions to these.\r\nPlease | 73 | effective technological and management solutions to these.\r\nPlease | ||
76 | visit https://www.hutton.ac.uk for more information.\r\n\r\nThe | 74 | visit https://www.hutton.ac.uk for more information.\r\n\r\nThe | ||
77 | Natural Asset Register: Data Portal project is part of the RESAS | 75 | Natural Asset Register: Data Portal project is part of the RESAS | ||
78 | research programme and the project webpage is at | 76 | research programme and the project webpage is at | ||
79 | ac.uk/research/srp2016-21/wp141-natural-asset-inventory-and-accounts", | 77 | ac.uk/research/srp2016-21/wp141-natural-asset-inventory-and-accounts", | ||
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