-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathProject_Metadata
197 lines (129 loc) · 6.16 KB
/
Project_Metadata
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
This document describes data sources used.
## Data folder setup
The data folder contains the following folders and files, which are described further below
```
data
├── Scheffer_2018
├── Globcover
├── IFL
├── treecover
├── wc10
└── firedata
```
### Height distributions
Folder: `Scheffer_2018`
Description: Frequency distributions of vegetation height between 60°S and 60°N at 0.5° degree resolution
Citation:
Los, S. et al. 2012. Vegetation height products between 60° s and 60° n from icesat glasdata. – Geoscientific Model Development 5: 413–432.
License:
CC BY 4.0
Access:
1. Download zip file from link https://www.geosci-model-dev.net/5/413/2012/gmd-5-413-2012-supplement.zip (direct download, 2.6MB)
2. Extract zip file within `data`, and rename directory from `gmd-5-413-2012-supplement` to `Scheffer_2018`. Alternatively, create a new directory `Scheffer_2018` and place `gmd-5-413-2012-supplement/Field_hist_k2_v1.nc` into the new directory
Files:
```
Scheffer_2018
└── Field_hist_k2_v1.nc
```
### Intact Forest Landscape (IFL)
Folder: `IFL`
Description: Mosaic of forest and natually treeless systems, which exhibit no signs of human activity or habitat degradation, and large enough to native biodiversity.
Citation:
Potapov, Peter, et al. "Mapping the world’s intact forest landscapes by remote sensing." Ecology and Society 13.2 (2008).
License:
CC BY 4.0
Access:
1. Visit http://www.intactforests.org/data.ifl.html. Under the ESRI SHAPE format section,
download IFL for the year 2013 (zip file, 141MB)
2. Extract the zip file and copy the folder `IFL_2013` into `data`
Files:
```
IFL_2013
├── IFL_2018_readme.pdf
├── ifl_2013.cpg
├── ifl_2013.dbf
├── ifl_2013.prj
├── ifl_2013.sbn
├── ifl_2013.sbx
├── ifl_2013.shp
└── ifl_2013.shx
```
### Globcover
Folder: `Globcover`
Description: Land-use cover map at 300m resolution
Citation:
Defourny, Pierre, et al. "GLOBCOVER: a 300 m global land cover product for 2005 using Envisat MERIS time series." Proceedings of the ISPRS commission VII mid-term symposium: remote sensing: from pixels to processes. 2006.
License: XXXX
Access:
1. Download zip file from link http://due.esrin.esa.int/files/Globcover_V2.2_Global.zip (direct download, 277MB)
2. Extract zip file, which should produce a folder `Globcover_V2.2_Global`. Rename the folder to `Globcover` and copy into `data`.
Processing: We also created a downscaled version of the data, using script `Globcover/downscaling.R`, to create `Globcover/downscaled/globcover_downscaled.grd` and `Globcover/downscaled/globcover_downscaled.gri`
Files:
```
Globcover
├── Globcover_V2.2_Global
│ ├── GLOBCOVER_200412_200606_V2.2_Global_CLA.tif
│ ├── GLOBCOVER_200412_200606_V2.2_Global_CLA.tif.vat.dbf
│ ├── GLOBCOVER_200412_200606_V2.2_Global_CLA_QL.tif
│ ├── Globcover_Global_Legend.avl
│ ├── Globcover_Global_Legend.dsr
│ ├── Globcover_Global_Legend.lyr
│ ├── Globcover_Legend.xls
│ └── Globcover_Preview.jpg
└── downscaled
├── globcover_downscaled.grd
└── globcover_downscaled.gri
```
### treecover
Folder: `treecover`
Description: Spatial data representing percentage tree cover (ratio of the area covered with branches and tree canopy to the ground surface) at 30 arcsecond resolution, obtained from the MODIS sensor
Citation:
Geospatial Information Authority of Japan, Chiba University and collaborating organizations
License: XXXX
Access:
1. Download `gm_ve_v1.zip` from https://github.com/globalmaps/gm_ve_v1/blob/master/gm_ve_v1.zip (76MB)
2. Extract the zip file, and copy the folder `gm_ve_v1` into `data/treecover`
Processing: We also created a downscaled version of the data, using script `treecover/downscaling.R`, to create `treecover/downscaled/treecover_downscaled.grd` and `treecover/downscaled/treecover_downscaled.gri`
Files:
```
treecover
├── downscaled
│ ├── treecover_downscaled.grd
│ └── treecover_downscaled.gri
└── gm_ve_v1
└── gm_ve_v1.tif
```
### Precipitation
Folder: `wc10`
Description: Spatial data representing monthly precipitation at 30 arcsecond resolution.
Citation:
Fick, S. E. and Hijmans, R. J. 2017. Worldclim 2: new 1-km spatial resolution climatesurfaces for global land areas. – International journal of climatology 37: 4302–4315.
License: XXXX
### Fire Size
Folder: firedata
Description: Spatial data of fire sizes (km^2) from 2003-2016 determined based on the fraction of burnt area in each cell at 500m resolution. The MODIS colleciton 6 MCD64A1 burned product area and Global Fire Atlas Algorithm were used to collect the data. The data are yearly GeoTiffs with bands providing monthly fire size data.
Citation:
Andela, N., D.C. Morton, L. Giglio, and J.T. Randerson. 2019. Global Fire Atlas with Characteristics of Individual Fires, 2003-2016. ORNL DAAC, Oak
Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1642
Access:
1. Downloaded from https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=1642 . Monthly areas burned measurements were selected in WGS 84 projection in GeoTiff format. Data was downloaded for each month for each year of avaliable data.
Processing:
A function was created to load the data into R including setting the extent, stacking the monthly bands for each year together and transforming data into a dataframe. The data for each year were combined to create total burnt area and mean burnt area variables. The data was rescaled so the coordinates matched the other datasets.
Files:
'''
firedata
├── 2003firesize.tif
├── 2004firesize.tif
├── 2005firesize.tif
├── 2006firesize.tif
├── 2007firesize.tif
├── 2008firesize.tif
├── 2009firesize.tif
├── 2010firesize.tif
├── 2011firesize.tif
├── 2012firesize.tif
├── 2013firesize.tif
├── 2014firesize.tif
├── 2015firesize.tif
└── 2016firesize.tif
'''