Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HLG_2017-07-11_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNP_2017-08-27_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMJ_2018-01-04_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JKP_2018-01-07_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLP_2018-01-10_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPJ_2018-01-14_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLH_2018-01-24_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMJ_2018-02-16_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HPK_2018-03-02_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JPS_2018-03-05_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPN_2018-03-15_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMH_2018-03-18_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-03-21_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKP_2018-03-21_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPQ_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMR_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNT_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JPT_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLN_2018-03-31_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPH_2018-04-01_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50JPL_2018-04-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPQ_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLR_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JNT_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPT_2018-04-07_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQK_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPL_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPR_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JPS_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKP_2018-04-20_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HQK_2018-04-24_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLG_2018-05-07_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JNM_2018-07-23_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JPR_2018-08-05_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JPS_2018-08-25_final
2018-12-30 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2018-12-30_final.stac-item
2019-02-15 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2019-02-15_final.stac-item
2019-02-18 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-02-18_final.stac-item
2019-02-18 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-02-18_final.stac-item
2019-03-13 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-03-13_final
2019-03-29 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2019-03-29_final
2019-03-30 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2019-03-30_final.stac-item
2019-04-25 12:05:48	ga_s2bm_ard_3-2-1_50JKP_2019-04-25_final
2019-04-26 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-04-26_final.stac-item
2019-05-06 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-06_final
2019-05-15 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-15_final
2019-05-19 11:44:46	ga_s2bm_ard_3-2-1_50JPT_2019-05-19_final
2019-05-19 11:45:59	ga_s2bm_ard_3-2-1_50JPN_2019-05-19_final
2019-05-22 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2019-05-22_final
2019-05-22 11:55:06	ga_s2bm_ard_3-2-1_50JLS_2019-05-22_final
2019-05-22 11:55:47	ga_s2bm_ard_3-2-1_50JMP_2019-05-22_final
2019-05-22 11:56:20	ga_s2bm_ard_3-2-1_50JLM_2019-05-22_final
2019-05-29 11:46:17	ga_s2bm_ard_3-2-1_50JNM_2019-05-29_final
2019-09-03 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2019-09-03_final.stac-item
2019-11-02 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2019-11-02_final
2019-11-25 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2019-11-25_final
2019-11-25 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2019-11-25_final.stac-item
2020-02-20 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-02-20_final.stac-item
2020-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2020-05-20_final
2020-06-15 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2020-06-15_final
2020-09-16 12:04:49	ga_s2bm_ard_3-2-1_50JKS_2020-09-16_final
2020-11-09 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2020-11-09_final
2021-01-08 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-08_final
2021-04-01 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-04-01_final
2021-04-21 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2021-04-21_final
2021-05-21 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-05-21_final
2021-05-21 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2021-05-21_final
2021-05-24 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-05-24_final
2021-06-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-06-13_final
2021-06-13 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-06-13_final
2021-06-17 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2021-06-17_final
2021-06-23 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-06-23_final
2021-06-30 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2021-06-30_final
2021-07-03 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-07-03_final
2021-07-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-07-03_final
2021-07-03 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-07-03_final
2021-07-03 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-07-03_final
2021-07-07 11:44:39	ga_s2bm_ard_3-2-1_50JPT_2021-07-07_final
2021-07-07 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2021-07-07_final
2021-07-10 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2021-07-10_final
2021-07-10 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2021-07-10_final
2021-07-10 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2021-07-10_final
2021-07-13 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-13_final.stac-item
2021-08-23 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-08-23_final
2021-11-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-11-30_final.stac-item
2021-12-07 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-12-07_final
2022-03-10 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-03-10_final.stac-item
2022-06-19 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2022-06-19_final.stac-item
2022-07-28 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2022-07-28_final
2022-10-10 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2022-10-10_final.stac-item
2022-10-26 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-10-26_final.stac-item
2023-01-24 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2023-01-24_final.stac-item
2023-03-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-03-09_final.stac-item
2023-06-03 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-06-03_final.stac-item
2023-08-02 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-08-02_final.stac-item
2023-08-05 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-05_final.stac-item
2023-11-07 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2023-11-07_final.stac-item
2023-11-13 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-11-13_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years