Marlin M. Mueller

ORCID: 0000-0001-7267-3886
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About
Contact & Profiles
Research Areas
  • Remote Sensing and LiDAR Applications
  • Plant Water Relations and Carbon Dynamics
  • Fire effects on ecosystems
  • Remote Sensing in Agriculture
  • Cryospheric studies and observations
  • 3D Surveying and Cultural Heritage
  • Forest Ecology and Biodiversity Studies
  • Climate change and permafrost
  • Hydrology and Drought Analysis
  • Soil Geostatistics and Mapping
  • Landslides and related hazards
  • Remote Sensing and Land Use
  • Climate variability and models
  • Tree Root and Stability Studies
  • Forest ecology and management
  • Species Distribution and Climate Change
  • Meteorological Phenomena and Simulations
  • Robotics and Sensor-Based Localization
  • Forest Management and Policy
  • Isotope Analysis in Ecology
  • Wildlife Ecology and Conservation
  • Soil Moisture and Remote Sensing
  • Land Use and Ecosystem Services
  • Atmospheric and Environmental Gas Dynamics
  • Hydrology and Watershed Management Studies

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2020-2025

Friedrich Schiller University Jena
2020-2024

Analyzing habitat conditions and mapping structures are crucial for monitoring ecosystems implementing effective conservation measures, especially in the context of declining open grassland Europe. The marsh fritillary (Euphydryas aurinia), an endangered butterfly species, depends heavily on specific found these grasslands, making it vulnerable to environmental changes. To address this, we conducted a comprehensive suitability analysis within Hainich National Park Thuringia, Germany,...

10.3390/rs17010149 article EN cc-by Remote Sensing 2025-01-04

Deadwood is a vital component of forest ecosystems, significantly contributing to biodiversity and carbon storage. Accurate mapping deadwood essential for ecological monitoring sustainable management. This study introduces method downed using convolutional neural network (CNN) applied very high-resolution UAV RGB imagery. The research was conducted in Hainich National Park, central Germany, aiming enhance the precision coarse woody debris (CWD) delineation dense structurally diverse...

10.3390/rs17091610 article EN cc-by Remote Sensing 2025-05-01

Leveraging low-cost drone technology, specifically the DJI Mini 2, this study presents an innovative method for creating accurate, high-resolution digital surface models (DSMs) to enhance topographic mapping with off-the-shelf components. Our research, conducted near Jena, Germany, introduces two novel flight designs, “spiral” and “loop” devised mitigate common challenges in structure from motion workflows, such as systematic doming bowling effects. The analysis, based on height difference...

10.3390/rs15174308 article EN cc-by Remote Sensing 2023-08-31

Accurate detection and delineation of individual trees their crowns in dense forest environments are essential for management ecological applications. This study explores the potential combining leaf-off leaf-on structure from motion (SfM) data products unoccupied aerial vehicles (UAVs) equipped with RGB cameras. The main objective was to develop a reliable method precise tree stem crown deciduous forests, demonstrated at structurally diverse old-growth Hainich National Park, Germany. Stem...

10.3390/rs15184366 article EN cc-by Remote Sensing 2023-09-05

Dead wood such as coarse dead debris (CWD) is an important component in natural forests since it increases the diversity of plants, fungi, and animals. It serves habitat, provides nutrients conducive to forest regeneration, ecosystem stabilization soil protection. In commercially operated forests, often unwanted can act originator calamities. Accordingly, efficient CWD monitoring approaches are needed. However, due small size objects satellite data-based cannot be used gather needed...

10.3390/rs12203293 article EN cc-by Remote Sensing 2020-10-10

Abstract. In this study, we analyze Sentinel-1 time series data to characterize the observed seasonality of different land cover classes in eastern Thuringia, Germany and identify multi-temporal metrics for their classification. We assess influence polarizations pass directions on backscatter profile. The novelty approach is determination phenological parameters, based a tool that has been originally developed optical imagery. Furthermore, several additional multitemporal are determined...

10.5194/isprs-annals-v-3-2020-97-2020 article EN cc-by ISPRS annals of the photogrammetry, remote sensing and spatial information sciences 2020-08-03

Forests’ ecosystems are an essential part of the global carbon cycle with vast storage potential. These systems currently under external pressures showing increasing change due to climate change. A better understanding biophysical properties forests is, therefore, paramount importance for research and monitoring purposes. While there many properties, focus this study is on in-depth analysis connection between C-band Copernicus Sentinel-1 SAR backscatter evapotranspiration (ET) estimates...

10.3390/rs14246384 article EN cc-by Remote Sensing 2022-12-16

The Arctic is experiencing severe changes to its landscapes due the thawing of permafrost influenced by twofold increase temperature across global warming compared average. This process, which affects livelihoods indigenous people, also associated with further release greenhouse gases and connected ecological impacts on arctic flora fauna. These small-scale disturbances land surface caused thaw have been inadequately documented.To better understand monitor changes, project...

10.5194/egusphere-egu23-2698 preprint EN 2023-02-22

Tracking seasonal dynamics of evapotranspiration (ET) across global biomes and along time periods using remote sensing is vital for monitoring ecosystem health indicating early signals drought. In this study, we assess the potential adding weather illumination-independent from active passive microwave (SAR backscatter & vegetation optical depth, VOD) to established set ET products, like optical/thermal (MODIS, SEVIRI) reanalysis (ERA-5 land, GLDAS) data.Our study covers a four-year period...

10.1109/igarss52108.2023.10283234 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2023-07-16

Understanding drought stress responses and adaptation mechanisms in forest ecosystems towards climate extremes is crucial. This knowledge aids assessing adaptive capacities developing supportive management measures. Here, a comprehensive long-term data set obtained the Hainich National Park, an old-growth mixed-beech Central Germany (DE-Hai), gives opportunity to investigate effects transformation processes caused by 2018 2019 summer droughts on tree stand scale. The displays near-natural,...

10.5194/egusphere-egu24-15114 preprint EN 2024-03-09

10.1109/igarss53475.2024.10641040 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2024-07-07

Abstract. Evapotranspiration (ET) is an important variable for analysing ecosystems, biophysical processes, and drought-related changes in the soil-plant-atmosphere system. In this study, we evaluated freely available ET products from satellite remote sensing (i.e., MODIS, SEVIRI, GLEAM) as well modelling reanalysis ERA5-land GLDAS-2) together with in-situ observations at eight Integrated Carbon Observation System (ICOS) stations across central Europe between 2017 2020. The land cover...

10.5194/egusphere-2024-3386 preprint EN cc-by 2024-11-19

Abstract. In this study, a dense Copernicus Sentinel-1 time series is analyzed to gain better understanding of the influence undergrowth vegetation, in particular eagle fern (Pteridium aquilinum), on C-band SAR signal temperate forest Free State Thuringia, Germany. Even if signals from ground below canopy may not be expected at C-band, previous studies showed seasonal fluctuations backscatter for forests without closure, notably evergreen coniferous stands. Many factors can responsible these...

10.5194/isprs-archives-xliii-b3-2021-127-2021 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2021-06-28

The project “South African Land Degradation Monitor” (SALDi) contributes to the German-South Programme “Science Partnerships for Adaptation Complex Earth System Processes in Region of Southern Africa” (SPACES) by addressing dynamics and functioning multi-use landscapes with respect land use, cover change, water fluxes, implications habitats ecosystem services. We are utilizing time series information from Sentinel-1 Sentinel-2 European Space Agency (ESA) Copernicus program. synergetic...

10.1109/igarss47720.2021.9553331 article EN 2021-07-11

Data on forest parameters defining the structure, health and condition of a stand is essential for management conservation. The increasing frequency changes, such as those caused by climate change-related drought heat events, highlight importance having database with high spatial temporal resolution. Automated parameter extraction based unmanned aerial vehicle (UAV) imagery cost-effective way to address need accurate up-to-date data.The aim this project develop user-friendly tools optical...

10.5194/egusphere-egu23-1418 preprint EN 2023-02-22

<p>A changing climate accompanied by an increasing number of extreme weather events puts pressure on ecosystems around the globe. Evapotranspiration is one key metrics for understanding vegetation dynamics and changes in ecosystem. Due to its complex nature, evapotranspiration difficult determine a larger scale.<br>Existing approaches correlate measurements radar backscatter signals were completed boreal forests using ground-based scatterometers short time series...

10.5194/egusphere-egu21-9851 article EN 2021-03-04
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