Index

A

AGDC agriculture air temperature animation

annual geomedian, [1], [2], [3], [4] API ARD array_to_geotiff AWS

B

band names beginner, [1], [2], [3], [4], [5], [6]

bokeh buffering Bureau of Meteorology

C

calculate_indices, [1], [2], [3], [4], [5], [6], [7], [8], [9] CEOS-SEO change detection, [1] change monitoring classification climate data cloud filtering cloud masking, [1], [2], [3], [4] Cloud Optimised GeoTIFF coastal coastal erosion, [1], [2]

code cells COG, [1] colour maps combining data composites contour extraction contours_to_arrays create_local_dask_cluster crs CSIRO csv

D

Dask, [1], [2], [3], [4] data visualisation, [1] datacube explorer datacube.utils.cog datacube.utils.geometry dc.list_measurements dc.list_products dc.load, [1], [2] DcViewer DE Africa DEA DEA Coastlines dea datasets, [1], [2], [3], [4], [5] DEA Notebooks DEA Sandbox, [1]

DEA Waterbodies, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] dea_bandindices, [1], [2], [3], [4], [5], [6], [7], [8], [9] dea_classificationtools, [1] dea_coastaltools, [1], [2], [3] dea_dask dea_datahandling, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21] dea_plotting, [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] dea_spatialtools, [1], [2], [3], [4] dea_temporal decision tree digital elevation model, [1] dilate display_map, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] download_unzip downloading data, [1] drones

E

EO ERA5 ESA

EVI export exporting data, [1], [2], [3], [4], [5] external data, [1], [2]

F

FAO FC filmstrip plot fiona

fire mapping first Forel-Ule forestry fractional cover, [1]

G

GA GEE GEOBIA GeoBox Geomedian geomedian, [1]

GeoPandas, [1], [2], [3] geopandas, [1] GeoTIFF, [1], [2], [3], [4], [5], [6], [7] Geotiff get_training_data_for_shp GIS groupby

H

high_tide_comp_20p

HLTC

I

image compositing, [1], [2], [3], [4], [5], [6], [7], [8], [9] image processing image segmentation index calculation, [1] indexing, [1] inland water, [1] int_geomedian

interactive, [1], [2], [3] interpolate_2d interpolating interpolation intertidal, [1], [2], [3], [4] ipyleaflet, [1] isel ITEM, [1]

J

Jupyter notebook jupyter notebook

JupyterLab jupyterlab

L

Landsat landsat 5, [1], [2], [3], [4], [5], [6] landsat 7, [1], [2], [3], [4], [5], [6], [7], [8], [9] landsat 8, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22] last

lazy loading, [1], [2] LCCS load_ard, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17] load_era5 low_tide_comp_20p

M

machine learning MADs map_shapefile, [1], [2] maritime markdown cells masking, [1], [2], [3], [4], [5] matplotlib

matplotlib.animation measurements metadata, [1] mining MNDWI, [1], [2], [3] MODIS mostcommon_crs, [1], [2], [3], [4]

N

naming conventions NASA native load, [1] NBAR, [1], [2] NBART NBR, [1] NCI NCI compatible, [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] NDCI

NDVI, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] NDWI, [1], [2], [3], [4] near real time nearest NetCDF, [1] NIDEM NIR no_testing, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] numpy

O

observation attributes

ODC

P

pan_sharpen_brovey pansharpening parallel processing, [1] paths_to_datetimeindex phenology pixel quality, [1] plotting, [1], [2], [3]

polygon drill polygons PostgreSQL predicate function predict_xr principal component analysis products Python

Q

query

quickshift

R

radar, [1] raster to polygons rasterio rasterio.features.rasterize rasterio.features.shapes rasterize raw cells real world, [1], [2], [3], [4], [5], [6], [7], [8], [9]

reprojecting reprojecting data, [1] resampling resampling data, [1] rgb, [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] rio_slurp_xarray rolling window rsgislib

S

sandbox compatible, [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] sandbox compatible, :index:`precipitation SAR scikit-image, [1] Scripts sel sensors Sentinel sentinel 1, [1] sentinel 2, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18] Sentinel-2, [1]

shapefile, [1], [2], [3], [4] shapely shell commands sklearn_flatten sklearn_unflatten SLC-off spatial interpolation speckle filtering statistics, [1], [2] subpixel_contours, [1], [2] swapping dimensions

T

tasseled cap tidal_stats tidal_tag, [1], [2], [3] tide modelling, [1], [2], [3]

time series, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] time series analysis, [1], [2] time_buffer TSmask

U

USGS

V

VDI vectorise, [1]

vectorize vegetation virtual products, [1]

W

water, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] Water Data Online water quality waterbodies, [1] waterline extraction, [1] WFS, [1] widgets, [1], [2], [3], [4]

wind WOFL, [1], [2] WOfS, [1], [2], [3], [4], [5], [6], [7], [8], [9] wofs_fuser, [1] write_cog write_dataset_to_netcdf write_geotiff

X

xarray, [1] xarray.DataArray xarray.Dataset xarray.open_dataset xarray.open_mfdataset xarray.open_rasterio, [1]

xr_animation xr_geomedian xr_phenology xr_rasterize, [1], [2], [3] xr_reproject xr_vectorize, [1]

Y

YAML