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/datasets.seed.nsw.gov.au/dataset/non-woody-disturbance-2018-era-data"
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/datasets.seed.nsw.gov.au/dataset/non-woody-disturbance-2018-era-data"
            
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  "name": "non-woody-disturbance-2018-era-data",
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  "name": "non-woody-disturbance-2018-era-data",
            
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  "notes": "This layer shows state-wide SLATS Non-Woody data based on 
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  "notes": "This layer shows state-wide SLATS Non-Woody data based on 
            
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the analysis of multi-date Sentinel2 and Planet Maps imagery for 2018, 
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the analysis of multi-date Sentinel2 and Planet Maps imagery for 2018, 
            
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2019 & 2020.\r\n\r\nNon-woody disturbance (removal of grasses, small 
29
2019 & 2020.\r\n\r\nNon-woody disturbance (removal of grasses, small 
            
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shrubs and groundcover) is identified by interpreters by comparing two 
30
shrubs and groundcover) is identified by interpreters by comparing two 
            
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high-resolution satellite images and analysing changes using a range 
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high-resolution satellite images and analysing changes using a range 
            
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of additional data and imagery products. NWD eras are defined by the 
32
of additional data and imagery products. NWD eras are defined by the 
            
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year that the majority of clearing took place. Interpreters assign a 
33
year that the majority of clearing took place. Interpreters assign a 
            
34
replacement landcover class that indicates the likely purpose for 
34
replacement landcover class that indicates the likely purpose for 
            
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which the vegetation was disturbed.\r\n\r\nA summary of the method is 
35
which the vegetation was disturbed.\r\n\r\nA summary of the method is 
            
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as follows:\r\n\r\n1.\tNon-woody disturbance across the state is 
36
as follows:\r\n\r\n1.\tNon-woody disturbance across the state is 
            
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detected in areas that have low disturbance from 1990. State forest 
37
detected in areas that have low disturbance from 1990. State forest 
            
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and National Park are excluded from this analysis.\r\n\r\n2.\tVisual 
38
and National Park are excluded from this analysis.\r\n\r\n2.\tVisual 
            
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assessment is done at a scale of 1:20,000 across the state using pre 
39
assessment is done at a scale of 1:20,000 across the state using pre 
            
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and post imagery sources and ancillary datasets.\r\n\r\n3.\tWhere 
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and post imagery sources and ancillary datasets.\r\n\r\n3.\tWhere 
            
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disturbance is identified, it is captured and mapped a scale of 
41
disturbance is identified, it is captured and mapped a scale of 
            
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1:10,000 (or finer scale).\r\n\r\n4.\tData is available as a raster at 
42
1:10,000 (or finer scale).\r\n\r\n4.\tData is available as a raster at 
            
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10m cell\r\n\r\nNon-woody disturbance data is combined with State-wide 
43
10m cell\r\n\r\nNon-woody disturbance data is combined with State-wide 
            
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Land and Tree Study data and the Native Vegetation Regulatory Map to 
44
Land and Tree Study data and the Native Vegetation Regulatory Map to 
            
45
produce the Rural Regulated Landcover Monitoring Report. Analysis is 
45
produce the Rural Regulated Landcover Monitoring Report. Analysis is 
            
46
undertaken to prevent double counting across clearing 
46
undertaken to prevent double counting across clearing 
            
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events.\r\n\r\nFor greater accuracy, SLATS non woody clearing mapping 
47
events.\r\n\r\nFor greater accuracy, SLATS non woody clearing mapping 
            
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occurs over 2 mapping seasons. The data packages on SEED combine both 
48
occurs over 2 mapping seasons. The data packages on SEED combine both 
            
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into a single year of clearing.\r\n\r\nNon-woody disturbance is 
49
into a single year of clearing.\r\n\r\nNon-woody disturbance is 
            
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provided as a raster with the following data key:\r\n\r\n1.  
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provided as a raster with the following data key:\r\n\r\n1.  
            
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Natural\r\n2.  Agriculture\r\n3.  Infrastructure\r\n4.  
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Natural\r\n2.  Agriculture\r\n3.  Infrastructure\r\n4.  
            
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Forestry\r\n\r\nLinks to the relevant landcover change on rural 
52
Forestry\r\n\r\nLinks to the relevant landcover change on rural 
            
53
regulated land reports and spreadsheets are shown 
53
regulated land reports and spreadsheets are shown 
            
54
tion/landcover-science/2018-landcover-change-reporting\r\n\r\nRemotely 
54
tion/landcover-science/2018-landcover-change-reporting\r\n\r\nRemotely 
            
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sensed imagery is routinely collected by DPE and used to map 
55
sensed imagery is routinely collected by DPE and used to map 
            
56
vegetation clearing. This data is spatially explicit and can be used 
56
vegetation clearing. This data is spatially explicit and can be used 
            
57
with other datasets to identify activity on individual lots. Please 
57
with other datasets to identify activity on individual lots. Please 
            
58
read the Privacy collection notice (PDF 50KB) for more 
58
read the Privacy collection notice (PDF 50KB) for more 
            
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information.\r\n\r\n",
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information.\r\n\r\n",
            
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