Search ga_s2bm_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LPC_2018-08-07_final
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LPD_2018-08-07_final
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LNC_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LND_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LNE_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LNF_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LNG_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LPE_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LPF_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LPG_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KNB_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53LNC_2018-08-07_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_53HNB_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_53HNC_2018-08-08_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JNM_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JNN_2018-08-11_final.stac-item
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_53JNK_2018-08-14_final.stac-item
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_53JNL_2018-08-14_final.stac-item
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_53JNM_2018-08-14_final.stac-item
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_53JNN_2018-08-14_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53HNB_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53HNC_2018-08-18_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNH_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNJ_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNK_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNL_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNM_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNN_2018-08-21_final.stac-item
2019-08-06 10:34:21	ga_s2bm_ard_3-2-1_53JNN_2019-08-06_final.stac-item
2019-08-06 10:34:33	ga_s2bm_ard_3-2-1_53JNM_2019-08-06_final.stac-item
2019-08-06 10:34:47	ga_s2bm_ard_3-2-1_53JNL_2019-08-06_final.stac-item
2019-08-06 10:35:02	ga_s2bm_ard_3-2-1_53JNK_2019-08-06_final.stac-item
2019-08-06 10:35:16	ga_s2bm_ard_3-2-1_53JNJ_2019-08-06_final.stac-item
2019-08-06 10:35:31	ga_s2bm_ard_3-2-1_53JNH_2019-08-06_final.stac-item
2019-08-06 10:35:45	ga_s2bm_ard_3-2-1_53JNG_2019-08-06_final.stac-item
2019-08-06 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-08-06_final.stac-item
2019-08-06 10:36:14	ga_s2bm_ard_3-2-1_53HNE_2019-08-06_final.stac-item
2019-08-06 10:36:29	ga_s2bm_ard_3-2-1_53HND_2019-08-06_final.stac-item
2019-08-06 10:36:43	ga_s2bm_ard_3-2-1_53HNC_2019-08-06_final.stac-item
2019-08-22 10:51:50	ga_s2bm_ard_3-2-1_53KNB_2019-08-22_final.stac-item
2019-08-22 10:51:57	ga_s2bm_ard_3-2-1_53KNB_2019-08-22_final.stac-item
2020-03-16 10:41:21	ga_s2bm_ard_3-2-1_53LPD_2020-03-16_final
2020-03-16 10:41:28	ga_s2bm_ard_3-2-1_53LND_2020-03-16_final.stac-item
2020-03-16 10:41:36	ga_s2bm_ard_3-2-1_53LPC_2020-03-16_final
2020-03-16 10:41:39	ga_s2bm_ard_3-2-1_53LNC_2020-03-16_final.stac-item
2020-03-16 10:41:53	ga_s2bm_ard_3-2-1_53KNB_2020-03-16_final.stac-item
2020-03-16 10:42:00	ga_s2bm_ard_3-2-1_53KNB_2020-03-16_final.stac-item
2020-03-16 10:42:01	ga_s2bm_ard_3-2-1_53KNA_2020-03-16_final.stac-item
2020-03-16 10:42:08	ga_s2bm_ard_3-2-1_53KNA_2020-03-16_final.stac-item
2020-03-16 10:42:23	ga_s2bm_ard_3-2-1_53KNV_2020-03-16_final.stac-item
2020-03-16 10:42:37	ga_s2bm_ard_3-2-1_53KNU_2020-03-16_final.stac-item
2020-03-16 10:42:52	ga_s2bm_ard_3-2-1_53KNT_2020-03-16_final.stac-item
2020-03-16 10:43:06	ga_s2bm_ard_3-2-1_53KNS_2020-03-16_final.stac-item
2020-03-16 10:43:21	ga_s2bm_ard_3-2-1_53KNR_2020-03-16_final.stac-item
2020-03-16 10:43:35	ga_s2bm_ard_3-2-1_53KNQ_2020-03-16_final.stac-item
2020-03-16 10:43:50	ga_s2bm_ard_3-2-1_53KNP_2020-03-16_final.stac-item
2020-03-16 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2020-03-16_final.stac-item
2020-03-16 10:44:19	ga_s2bm_ard_3-2-1_53JNM_2020-03-16_final.stac-item
2020-03-16 10:44:33	ga_s2bm_ard_3-2-1_53JNL_2020-03-16_final.stac-item
2020-03-16 10:44:48	ga_s2bm_ard_3-2-1_53JNK_2020-03-16_final.stac-item
2020-03-20 10:26:52	ga_s2bm_ard_3-2-1_53HNB_2020-03-20_final.stac-item
2020-03-23 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2020-03-23_final.stac-item
2020-03-23 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2020-03-23_final.stac-item
2020-03-23 10:34:37	ga_s2bm_ard_3-2-1_53JNL_2020-03-23_final.stac-item
2020-03-23 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2020-03-23_final.stac-item
2020-03-23 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2020-03-23_final.stac-item
2020-03-23 10:35:21	ga_s2bm_ard_3-2-1_53JNH_2020-03-23_final.stac-item
2020-03-23 10:35:36	ga_s2bm_ard_3-2-1_53JNG_2020-03-23_final.stac-item
2020-03-23 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2020-03-23_final.stac-item
2020-03-23 10:36:05	ga_s2bm_ard_3-2-1_53HNE_2020-03-23_final.stac-item
2020-03-23 10:36:19	ga_s2bm_ard_3-2-1_53HND_2020-03-23_final.stac-item
2020-03-30 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2020-03-30_final.stac-item
2020-03-30 10:26:51	ga_s2bm_ard_3-2-1_53HNB_2020-03-30_final.stac-item
2020-04-05 10:41:20	ga_s2bm_ard_3-2-1_53LPD_2020-04-05_final
2020-04-05 10:41:27	ga_s2bm_ard_3-2-1_53LND_2020-04-05_final.stac-item
2020-04-05 10:41:35	ga_s2bm_ard_3-2-1_53LPC_2020-04-05_final
2020-04-05 10:41:39	ga_s2bm_ard_3-2-1_53LNC_2020-04-05_final.stac-item
2020-04-05 10:41:52	ga_s2bm_ard_3-2-1_53KNB_2020-04-05_final.stac-item
2020-04-05 10:41:59	ga_s2bm_ard_3-2-1_53KNB_2020-04-05_final.stac-item
2020-04-05 10:42:00	ga_s2bm_ard_3-2-1_53KNA_2020-04-05_final.stac-item
2020-04-05 10:42:07	ga_s2bm_ard_3-2-1_53KNA_2020-04-05_final.stac-item
2020-04-05 10:42:22	ga_s2bm_ard_3-2-1_53KNV_2020-04-05_final.stac-item
2020-04-05 10:42:36	ga_s2bm_ard_3-2-1_53KNU_2020-04-05_final.stac-item
2020-04-05 10:42:51	ga_s2bm_ard_3-2-1_53KNT_2020-04-05_final.stac-item
2020-04-05 10:43:05	ga_s2bm_ard_3-2-1_53KNS_2020-04-05_final.stac-item
2020-04-05 10:43:20	ga_s2bm_ard_3-2-1_53KNR_2020-04-05_final.stac-item
2020-04-05 10:43:34	ga_s2bm_ard_3-2-1_53KNQ_2020-04-05_final.stac-item
2020-04-05 10:43:49	ga_s2bm_ard_3-2-1_53KNP_2020-04-05_final.stac-item
2020-04-05 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2020-04-05_final.stac-item
2020-04-05 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2020-04-05_final.stac-item
2020-04-05 10:44:32	ga_s2bm_ard_3-2-1_53JNL_2020-04-05_final.stac-item
2020-04-05 10:44:47	ga_s2bm_ard_3-2-1_53JNK_2020-04-05_final.stac-item
2020-04-12 10:36:32	ga_s2bm_ard_3-2-1_53HNC_2020-04-12_final.stac-item
2020-04-12 10:36:46	ga_s2bm_ard_3-2-1_53HNB_2020-04-12_final.stac-item
2020-04-19 10:26:36	ga_s2bm_ard_3-2-1_53HNC_2020-04-19_final.stac-item
2020-04-22 10:35:32	ga_s2bm_ard_3-2-1_53JNG_2020-04-22_final.stac-item
2020-04-22 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-04-22_final.stac-item
2020-04-22 10:36:01	ga_s2bm_ard_3-2-1_53HNE_2020-04-22_final.stac-item
2020-04-22 10:36:16	ga_s2bm_ard_3-2-1_53HND_2020-04-22_final.stac-item
2020-04-22 10:36:30	ga_s2bm_ard_3-2-1_53HNC_2020-04-22_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years