![spacenet digitalglobe spacenet digitalglobe](https://digitalspaceinfo.files.wordpress.com/2017/06/91813a46e5207bb2cada62de95d1eac924.png)
Show subplot titles and/or use a custom suptitle. Suptitle ( Optional ) – optional suptitle to use for figureĬhanged in version 0.3: Method now takes a sample dict, not a Tensor. plot ( sample, show_titles = True, suptitle = None ) ¶ MD5 checksum to verify integrity of dataset. abstract property filename : str ¶įilename to find/store dataset in. RuntimeError – if download=False but dataset is missing or checksum fails
![spacenet digitalglobe spacenet digitalglobe](https://miro.medium.com/max/1400/1*MhNVYmlsWP9PfL2VdiPI_Q.jpeg)
Spacenet digitalglobe download#
_init_ ( root = 'data', crs = None, res = None, transforms = None, cache = True, download = False, checksum = False ) ¶
![spacenet digitalglobe spacenet digitalglobe](https://miro.medium.com/max/1104/1*O15upal42JMzk9tFrmceqw.png)
It consists of one-meter resolution land cover information for the Chesapeakeīay watershed (~100,000 square miles of land). This dataset was collected by the Chesapeake Conservancy’s Conservation InnovationĬenter (CIC) in partnership with the University of Vermont and WorldView Solutions, Chesapeake ( root = 'data', crs = None, res = None, transforms = None, cache = True, download = False, checksum = False ) ¶Ībstract base class for all Chesapeake datasets.Ĭhesapeake Bay High-Resolution Land Cover Project Chesapeake Land Cover ¶ class torchgeo.datasets. To show subplot titles and/or use a custom suptitle. Sample ( Dict ) – a sample returned by VectorDataset._getitem_()Ĭhanged in version 0.3: Method now takes a sample dict, not a Tensor. RuntimeError – if download=False and data is not found, or Res ( float) – resolution of the dataset in units of CRSĬhecksum ( bool) – if True, check the MD5 of the downloaded files (may be slow) _init_ ( root = 'data', crs = None, res = 1e-05, transforms = None, download = False, checksum = False ) ¶ This data is freely available for download and use. The Canadian Building Footprints dataset containsġ1,842,186 computer generated building footprints in all Canadian provinces and CanadianBuildingFootprints ( root = 'data', crs = None, res = 1e-05, transforms = None, download = False, checksum = False ) ¶ Plot ( sample, show_titles = True, suptitle = None ) ¶įigure Canadian Building Footprints ¶ class torchgeo.datasets.
Spacenet digitalglobe zip#
Individual zip files for each tile should be foundįileNotFoundError – if no files are found in root Root ( str) – root directory where dataset can be found, here the collection of _init_ ( root = 'data', crs = None, res = None, transforms = None, cache = True ) ¶ The Aster Global Digital Evaluation Modelĭataset is a Digital Elevation Model (DEM) on a global scale.ĭEMs at 30 m per pixel spatial resolution (3601x3601 px) AsterGDEM ( root = 'data', crs = None, res = None, transforms = None, cache = True ) ¶Īster Global Digital Evaluation Model Dataset. Suptitle ( Optional ) – optional string to use as a suptitleĪ matplotlib Figure with the rendered sample Return typeįigure Aster Global DEM ¶ class torchgeo.datasets. Show_titles ( bool) – flag indicating whether to show titles above each panel Sample ( Dict ) – a sample returned by RasterDataset._getitem_() Transforms ( Optional ], Dict ] ]) – a function/transform that takes an input sampleĭownload ( bool) – if True, download dataset and store it in the root directoryĬache ( bool) – if True, cache file handle to speed up repeated samplingįileNotFoundError – if no files are found in root plot ( sample, show_titles = True, suptitle = None ) ¶ (defaults to the resolution of the first file found) Res ( Optional ) – resolution of the dataset in units of CRS (defaults to the CRS of the first file found) Root ( str) – root directory where dataset can be foundĬrs ( Optional ) – coordinate reference system (CRS) to warp to _init_ ( root = 'data', crs = None, res = None, transforms = None, download = False, cache = True ) ¶ If you use this dataset in your research, please give credit to: Single-channel geotiffs with the pixel values representing biomass density Geojson file that contains download links to tif files Masks with per pixel live woody biomass density estimates in megagramsīiomass per hectare at ~30m resolution (~40,000x40,0000 px) Is a global-scale, wall-to-wall map of aboveground biomass at ~30m resolution The Aboveground Live Woody Biomass Density dataset AbovegroundLiveWoodyBiomassDensity ( root = 'data', crs = None, res = None, transforms = None, download = False, cache = True ) ¶Īboveground Live Woody Biomass Density dataset. Datasets containing this kind of information can be combined using IntersectionDataset and UnionDataset.Īboveground Woody Biomass ¶ class torchgeo.datasets. GeoDataset is designed for datasets that contain geospatial information, like latitude, longitude, coordinate system, and projection. These abstract base classes are documented in more detail in Base Classes. In torchgeo, we define two types of datasets: Geospatial Datasets and Non-geospatial Datasets.