Sold by: Digital Earth Africa
Open data
|
Deployed on AWS
Digital Earth Africa’s NDVI climatology product represents the long-term average baseline condition of vegetation for every Landsat pixel over the African continent. Both mean and standard deviation NDVI climatologies are available for each calender month.
Some key features of the product are:
- NDVI climatologies were developed using harmonized Landsat 5,7,and 8 satellite imagery.
- Mean and standard deviation NDVI climatologies are produced for each calender month, using a temporal baseline period from 1984-2020 (inclusive)
- Datasets have a spatial resolution of 30 metres
Overview
Digital Earth Africa’s NDVI climatology product represents the long-term average baseline condition of vegetation for every Landsat pixel over the African continent. Both mean and standard deviation NDVI climatologies are available for each calender month.
Some key features of the product are:
- NDVI climatologies were developed using harmonized Landsat 5,7,and 8 satellite imagery.
- Mean and standard deviation NDVI climatologies are produced for each calender month, using a temporal baseline period from 1984-2020 (inclusive)
- Datasets have a spatial resolution of 30 metres
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Normalised Difference Vegetation Index (NDVI) Climatology
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::deafrica-services/ndvi_climatology_ls
- AWS region
- af-south-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://deafrica-services/ndvi_climatology_ls/
- Description
- [S3 Inventory](https://docs.aws.amazon.com/AmazonS3/latest/dev/storage-inventory.html#storage-inventory-contents)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::deafrica-services-inventory
- AWS region
- af-south-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://deafrica-services-inventory/
- Description
- New scene notifications, can subscribe with [Lambda](https://aws.amazon.com/lambda/) or [SQS](https://aws.amazon.com/sqs/). Message contains entire STAC record for each new Item
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs
- AWS region
- af-south-1
- Description
- Bucket creation event notification, can subscribe with [Lambda](https://aws.amazon.com/lambda/) or [SQS](https://aws.amazon.com/sqs/). Message sent by the s3 bucket for all object create events.
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:af-south-1:543785577597:deafrica-services-topic
- AWS region
- af-south-1
Resources
Vendor resources
Support
Managed By
How to cite
Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology was accessed on DATE from https://registry.opendata.aws/deafrica-ndvi_climatology_ls .
License
DE Africa makes this data available under the Creative Commons Attribute 4.0 license https://creativecommons.org/licenses/by/4.0/ .
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Digital Earth Africa’s Monthly NDVI Anomaly service provides estimate of vegetation condition, for each caldendar month, against the long-term baseline condition measured for the month from 1984 to 2020 in the NDVI Climatology.
A standardised anomaly is calculated by subtracting the long-term mean from an observation of interest and then dividing the result by the long-term standard deviation. Positive NDVI anomaly values indicate vegetation is greener than average conditions, and are usually due to increased rainfall in a region. Negative values indicate additional plant stress relative to the long-term average. The NDVI anomaly service is therefore effective for understanding the extent, intensity and impact of a drought.Abrupt and significant negative anomalies may also be caused by fire disturbance.
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