article accepted: remote sensing spatial pattern analysis

article accepted: remote sensing spatial pattern analysis

m

Biodiversity | Conservation | News

May 29, 2017

Our article in MEE got accepted “r.pi: a GRASS GIS package for semi-automatic spatial pattern analysis of remotely sensed land cover data” by Martin Wegmann, Benjamin Leutner, Markus Metz, Markus Neteler, Stefan Dech, Stefan and Duccio Rocchini. It outlines the capabilities of the r.pi package to analyze spatial patterns derived from remote sensing land cover data to inform about landscape conditions and changes. Such fragmentation measures are relevant for ecology or conservation as well as for remote sensing to produce value-added landcover maps that provide details on the spatial structure of the landscape.

you may also like:

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:...

A Glimpse into Our Research: Data on Display in the Foyer

A Glimpse into Our Research: Data on Display in the Foyer

Stepping into the foyer, visitors are now greeted by large, striking images that tell the story of our research through data. Each visual represents a unique scientific perspective – from the Arctic to the cultivated landscapes of Bavaria, and from forest canopies to...

Successful MSc defense by Sonja Maas

Successful MSc defense by Sonja Maas

Big congratulations to Sonja Maas, who successfully defended her Master thesis today on the highly relevant and increasingly pressing topic: LiDAR-Based Acquisition Strategies for Forest Management Planning in a Mature Beech Stand Supervised by Dr. Julian Fäth and...