
PALSAR-2 ScanSAR Flooding in Rwanda (L2.1)
Provided by: JAXA , part of the AWS Open Data Sponsorship Program
Provided by: JAXA , part of the AWS Open Data Sponsorship Program

PALSAR-2 ScanSAR Flooding in Rwanda (L2.1)
Provided by: JAXA , part of the AWS Open Data Sponsorship Program
Provided by: JAXA , part of the AWS Open Data Sponsorship Program
This product is part of the AWS Open Data Sponsorship Program and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the AWS Open Data Sponsorship Program are not provided and maintained by AWS.
Description
Torrential rainfall triggered flooding and landslides in many parts of Rwanda. The hardest-hit districts were Ngororero, Rubavu, Nyabihu, Rutsiro and Karongi. According to reports, 14 people have died in Karongi, 26 in Rutsiro, 18 in Rubavu, 19 in Nyabihu and 18 in Ngororero.Rwanda National Police reported that the Mukamira-Ngororero and Rubavu-Rutsiro roads are impassable due to flooding and landslide debris. UNITAR on behalf of United Nations Office for the Coordination of Humanitarian Affairs (OCHA) / Regional Office for Southern & Eastern Africa in cooperation with Rwanda Space Agency (RSA) was activated International Disaster Charter. JAXA has responded to the flood event in Rwanda by conducting emergency disaster observations and providing data as requested by OCHA and RSA through the International Disaster Charter. The 25 m PALSAR-2 ScanSAR is normalized backscatter data of PALSAR-2 broad area observation mode with observation width of 350 km. Polarization data are stored as 16-bit digital numbers (DN). The DN values can be converted to gamma naught values in decibel unit (dB) using the following equation sigma zero = 10*log10(DN2) - 83.0 dB. Included in this dataset are ALOS-2 PALSAR-2 ScanSAR 2.1 data. Level 2.1 data is orthorectified from level 1.1 data by using digital elevation model. Pixel spacing is selectable depending on observation modes. Image coordinate in map projection is geocoded.
License
Data is available for free under the terms of use.
How to cite
PALSAR-2 ScanSAR Flooding in Rwanda (L2.1) was accessed on DATE
from https://registry.opendata.aws/palsar-2-scansar-flooding-in-rwanda .
Update frequency
As available.
Support information
Managed by: JAXA
Contact: aproject@jaxa.jp
General AWS Data Exchange support
Resources on AWS
Description
PALSAR-2 ScanSAR L1.1 & L2.2
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::jaxaalos2/palsar2-scansar/Rwanda/
AWS Region
us-west-2
AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://jaxaalos2/palsar2-scansar/Rwanda/
Usage examples
Publications
- ALOS series Open and Free Data by JAXA EORC by JAXA EORC