Jens WiesehahnNordwestdeutsche Forstliche Versuchsanstalt · Forest Protection
Jens Wiesehahn
Master of Science
Working with all kinds of geospatial data and open source software to get new insights in the area of forest sciences
About
3
Publications
2,271
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Introduction
Primarily using free and open source software for geo data analysis. Currently working in a project about forest disturbance mapping. Exploring possibilities of integrations between forest inventory data and remote sensing, sensor fusion, lidar data and much more.
Additional affiliations
March 2019 - December 2019
Position
- Research Associate
Description
- Project: Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)
November 2018 - February 2019
Thünen Institute
Position
- Research Associate
Description
- Project Survival-KW. Modelling survival rates of major german tree species under different climate szenarios
October 2016 - October 2018
Position
- Research Associate
Description
- Carbon Inventory 2017 The aim is to determine the carbon stocks changes in living biomass and dead wood in the forests during the second commitment period of the Kyoto Protocol for the whole of Germany.
Education
April 2012 - July 2015
Publications
Publications (3)
Die Überlebensrate wichtiger Waldbaumarten wurde für die Gegenwart (2000) und die Zukunft (2050, 2070) deutschlandweit modelliert. Damit sollen unter anderem folgende Fragen beantwortet werden: Wie verändert sich die Mortalität wichtiger Waldbaumarten im Klimawandel? Wie unterscheiden sich dabei die Baumarten? Und gibt es regionale Unterschiede? Er...
Land-use and land-cover analysis for the Upper Mekong Region, with a focus on rubber plantations.
Questions
Question (1)
I want to get pixel values of Sentinel images at given coordinates without having to download all the images. For example I would like to get the NDVI at several locations (Lat/Lon) for all available images in 2018. In a standard workflow I would have to download several images of different scenes and times with many bands to extract the desired NDVI values.
In Google Earth Engine it is possible to query values of image collections in the cloud. Is there an alternative to Google?
Amazon Web Services, CREODIAS and Planet seem to have hosted Sentinel data too and its supposed to be possible to query data online. Are there documented examples?
