Welcome to the Geomatics Lab!
The Geomatics Lab focuses on a better understanding of coupled human-environment systems based on remote sensing data and geoinformation. Specific interest lies on land use / land cover change and related ecosystem services.
Our methodological foundation is based on advanced remote sensing data analyses. Themes of interest include landscape to sub-continental mapping and monitoring, deep time series analysis and imaging spectroscopy. Our research contributes to the Global Land Project, the EnMAP Core Science Team and the Landsat Science Team.
16.12.2013 (1pm to 3pm (ct), Room 2'108, Rudower Chaussee 16, Berlin-Adlershof)
Land System Science Cluster (LSSC) Colloquim. Talk on "Mapping land cover along the urban gradient from EnMAP-like imaging spectrometer data" by Akpona Okujeni, Doctoral researcher, HU Berlin/ Geography Department/ Geomatics
12.12.2013 (5pm ct, Campus-Nord, Berlin-Mitte)
IRI THESys Lecture Series: Landscape sustainability science: from vision to practice by Prof. Dr. Jörn Fischer, Leuphana Universität Lüneburg, Germany
5th Workshop of the EARSel Special Interest Group Land Use & Land Cover
17 -18 March 2014
2nd Open Science Meeting
19-21 March 2014
published 21st Nov 2013
Two new publications by Patrick Griffiths and colleagues. The first paper, published in RSE,attempts to characterise forest dynamics over the entire Carpathians using a series of composited datasets. The paper addressed changes in forest types (looking into the fate of spruce monocultures), forest disturbances and post-disturbance recovery. The most important finding here, was that disturbance levels throughout the Carpathians dropped considerably after the early transition period and that forest composition shifted towards a more mixed-deciduous forests while conifer forests experienced increasing disturbance levels.
The most recent paper was published in ERL . Here the authors addressed changes in agricultural land use throughout the Carpathians. Compositing algorithms were adapted to create specific seasonal best observation composites along with seasonal metrics. The methodology however is only briefly described here... The key findings were that cropland abandonment until 2000 accounted for a third of socialist farmland, and that over the past decade this process has been reversed in many regions (i.e. cropland recultivation and also grassland conversion). Relating these processes to agricultural suitability (Global Agro-ecological Zones) confirmed assumptions that abandonment occurred on less productive land, while recultivation targeted highly productive lands.
published 26th Sep 2013
A new paper is published by Magdlalena Main-Knorn et.al. in Remote Sensing of Environment on "Monitoring coniferous forest biomass change using a Landsat trajectory-based approach." (PDF 1,3 MB)
We used satellite data (Landsat, SPOT, and IRS LISS) to estimate changes in conifer aboveground biomass in the Western Carpathian Mountains. First, Random Forests (RF) were used to create near annual biomass maps over 25 years. Then, we applied the LandTrendr algorithm to detect and describe biomass trends between 1985 and 2010.
In this study, we showed the effectiveness of the trajectory-based change detection approach (LandTrendr) to map abrupt and gradual biomass changes. A near-annual time series provided detailed information on stand-replacing disturbances, long-term degradation, and forest regeneration; processes that strongly affect forest biomass.
Magdalena Main-Knorn has finished her PhD at the Geomatics Lab 2012 and is now working at the DLR Earth Observation Center
Remote Sensing Technology Institute (IMF)
Photogrammetry and Image Analysis
published 17th Sep 2013
New paper on "Analyzing the drivers of tree planting in Yunnan, China, with Baysian networks", by our guest scientist Dr. Daniel Müller et.al. in Land Use Policy. Read...
We use a Bayesian network to analyze the factors that drive the decision to plant trees in Yunnan, China, with both quantitative household survey data and qualitative insights from extensive field work. We could show how state forest policies were the main underlying driver to the forest transitionin the past, but private afforestation activities increasingly dominate the expansion of tree cover. Farmers use tree planting to cash in on the growing economic opportunities of tree crops and to adapt to growing labor scarcities induced by massive rural emigration.
published 16th Sep 2013
Patrick Griffiths published the second paper out of his PhD research at the Geomatics Lab. It describes the development of a compositing algorithm for Landsat data and assesses the output composites regarding seasonal/annual and radiometric consistency as well as the suitability for land cover mapping. A more detailed description of the paper can be found here.
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