Search ndvi_anomaly whole collection

Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

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

Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

ID of a dataset type:

Derived product version number:

The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

Sun azimuth to (exclusive):

Sun elevation from:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Instrument name:

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:

Platform code:

Product family code:

African regional area:

Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Landsat root mean square error from:

Landsat root mean square error to (exclusive):

Landsat root mean square error in X from:

Landsat root mean square error in X to (exclusive):

Landsat root mean square error in Y from:

Landsat root mean square error in Y to (exclusive):

The satellite orbit state, either ascending or descending:

The satellite relative orbit from:

The satellite relative orbit to (exclusive):

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

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51 results

Time (local)	Label
2022-03-01 09:30:00	ndvi_anomaly_x213y050_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x213y061_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x213y060_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x213y074_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x214y053_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x214y063_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x215y061_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x215y062_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x215y057_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x214y089_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x215y088_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x215y070_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x215y100_2022-03--P1M.stac-item
2022-03-01 09:30:00	ndvi_anomaly_x216y107_2022-03--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x221y092_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x223y075_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x222y087_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x225y089_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x225y081_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x225y090_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x225y053_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x225y046_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x227y047_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x227y054_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x227y087_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x227y053_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x226y049_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x228y047_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x229y050_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x228y044_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x230y054_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x230y086_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x230y058_2022-04--P1M.stac-item
2022-04-01 09:30:00	ndvi_anomaly_x230y059_2022-04--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x210y060_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x209y109_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x210y100_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x210y108_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x210y087_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x210y086_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x210y102_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x211y048_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x211y081_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x211y096_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x212y084_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x212y058_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x212y110_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x213y090_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x213y115_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x213y084_2022-05--P1M.stac-item
2022-05-01 09:30:00	ndvi_anomaly_x214y066_2022-05--P1M.stac-item

Return to ndvi_anomaly whole collection overview

ndvi_anomaly: Monthly NDVI Anomalies produced by Digital Earth Africa.

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