Awesome
landsat_stack
Example time series stacks of Landsat data stored in tarballs compressed with bzip2 or gzip.
Locations
Downloads are hosted on my university's FTP server.
- Harvard Forest, Massachusetts, USA (P013-R030)
- Footprint
- Download image stack 167MB
- Download result files 352MB
- "CCDCesque" results run with YATSM:
- Download result maps 6MB
- "CCDCesque" result change maps (number of changes, date of first and last change detected) and predicted "synthetic" images:
- Stack pattern:
L*stack
- File format: ENVI BSQ
- Size: 300x300 pixels x 423 images
- Forest in Colorado, USA (P035-R032)
- Chiapas, Mexico (P022-R049)
Format:
- 8 band images
- Band 1 SR (SR * 10000)
- Band 2 SR (SR * 10000)
- Band 3 SR (SR * 10000)
- Band 4 SR (SR * 10000)
- Band 5 SR (SR * 10000)
- Band 7 SR (SR * 10000)
- Band 6 Thermal Brightness (C * 100)
- Fmask
- 0 - clear land
- 1 - clear water
- 2 - cloud
- 3 - snow
- 4 - shadow
- 255 - NoData
Either:
- "ENVI" format band-interleave by pixel (BIP)
- GeoTIFF
Example:
Here is an example directory listing of the p013r030
dataset, when extracted:
p013r030/
└── subset
├── cache
├── LE70130301999211EDC00
│ ├── LE70130301999211EDC00_MTL.txt
│ ├── LE70130301999211EDC00_stack
│ ├── LE70130301999211EDC00_stack.aux.xml
│ └── LE70130301999211EDC00_stack.hdr
├── LE70130301999243EDC00
│ ├── LE70130301999243EDC00_MTL.txt
│ ├── LE70130301999243EDC00_stack
│ ├── LE70130301999243EDC00_stack.aux.xml
│ └── LE70130301999243EDC00_stack.hdr
├── LE70130301999275EDC01
...
├── LT50130302011316GNC01
│ ├── LT50130302011316GNC01_MTL.txt
│ ├── LT50130302011316GNC01_stack
│ ├── LT50130302011316GNC01_stack.aux.xml
│ └── LT50130302011316GNC01_stack.hdr