Monthly Remote Sensing Indicators for West Africa predicted to support climate models

Monthly Remote Sensing Indicators for West Africa predicted to support climate models

m

Africa | NetCDA | Phenology | project | West Africa

October 1, 2024

Various monthly remote sensing dataset have been published in the context of the LANDSURF project in a spatial resolution of 1 x 1 km which are all based on MODIS and AVHRR datasets covering a period of 40 years which include the following:

Besides the vegetation indices NDVI and LAI we also published a monthly 1x 1 km land cover classification identifying 16 different land cover classes.

In addition, two binary parameters, i.e. forest cover and vegetation cover were contributed to the LANDSURF project. On top we provided a land surface albedo dataset.

For predicting the restrospective indices the STARFM algorithm was utilized in a Python environment.

In addition, the dataset (https://dx.doi.org/10.58160/gGzexcbDikobkyvK) contains climatological and agrometeorological indices of West Africa for 1981-2100 which are based on global and regional climate models (CMIP5 and CORDEX-CORE) calculated by our colleagues from Climatology, Dr. Katrin Ziegler, Dr. Daniel Abel and Prof. Dr. Heiko Paeth . Future greenhouse gas emissions scenarios (low (RCP2.6) and a high (RCP8.5)) were used.

 

 

you may also like:

MainPro Project Meeting: Next Project Phase Launched

MainPro Project Meeting: Next Project Phase Launched

On Friday, November 21st, a MainPro project meeting was held to exchange ideas with our cooperating small and medium-sized enterprises (SMEs). Within our MainPro project, we aim to identify the changes caused by climate change in the Main Valley and its surroundings...

HABITRACK: New Project for Predicting Vector-Borne Diseases

HABITRACK: New Project for Predicting Vector-Borne Diseases

We are very pleased to announce the successful acquisition of the third-party funded BMFTR project HABITRACK. The proposal was led on the EORC side by Ariane Droin and Hannes Taubenböck, together with strong partners from research, medicine, and public health:...

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Two days ago, our PostDoc Dr. Jakob Schwalb-Willmann visited the Institute for Geoinformatics at University of Münster to give a talk at IFGI’s GI Forum titled “Can animals be used to classify land use? Employing movement-tracked animals as environmental informants using deep learning”.

EOCap4Africa training in Ruhengeri

EOCap4Africa training in Ruhengeri

This week, over 25 students are attending a training session at the Institute of Applied Sciences (INES) in Ruhengeri, Rwanda, using the MSc module on Remote Sensing for Biodiversity Conservation that we developed. This module is part of the EOCap4Africa project...