Article
Computer Science, Interdisciplinary Applications
Bahadir Celik
Summary: Environmental monitoring studies rely on accurate and up-to-date land use and land cover information, and remote sensing data/techniques are widely used for land cover mapping due to their synoptic view and high temporal resolution capabilities. Linear spectral unmixing technique provides sub-pixel level land cover information, unlike traditional image classification. In this paper, the QLSU plugin, an open source and user-friendly graphical interface tool implemented in QGIS, is introduced for researchers without programming experience to perform linear spectral unmixing on remote sensing imagery. A case study on both real and synthetic images is conducted to demonstrate the plugin's usage and evaluate its results.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Chemistry, Multidisciplinary
Boyu Liu, Yushuo Zhang
Summary: This study presents an iterative approximation strategy to address the underdetermined problem in the linear spectral mixing model. By selecting mixed pixels with similar land covers in the neighborhood to form the unmixing linear system, the proposed algorithm effectively solves the underdetermined problem for mixed pixels of different scales.
APPLIED SCIENCES-BASEL
(2023)
Article
Biodiversity Conservation
Lenikpoho Karim Coulibaly, Qingfeng Guan, Tchimou Vincent Assoma, Xin Fan, Naga Coulibaly
Summary: Water erosion accelerates soil degradation through land use, land cover, and climate change. Accurate modeling of soil erosion is crucial for assessing environmental variables and formulating policies to prevent land degradation. The study reveals that integrating RUSLE2 with LSU can provide more accurate estimation of regional soil erosion, showing the importance of considering vegetation cover changes and spatial factors in soil erosion modeling.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Ming Shen, Maofeng Tang, Yingkui Li
Summary: The study proposes a three-step classification process for mapping kudzu in Knox County, Tennessee, using multispectral Sentinel-2 images and the integration of spectral unmixing analysis and phenological characteristics. The classification includes an initial linear unmixing process, a phenological-based masking process, and a nonlinear unmixing process to refine the classification. The final kudzu classification for Knox County achieved relatively high accuracy values.
Article
Environmental Studies
Gergely Toth, Eva Ivits, Gundula Prokop, Mirko Gregor, Jaume Fons-Esteve, Roger Milego Agras, Emanuele Mancosu
Summary: Soil sealing has numerous negative impacts, including withdrawal of fertile soil for biomass production, modification of microclimate, and decrease in biodiversity. This study assessed the loss of carbon sequestration potential, water-holding capacity, and biomass productivity due to soil sealing in functional Urban Areas (FUAs) of Europe. The findings showed significant loss in carbon sequestration potential and water-holding capacity in the sealed soil.
Article
Environmental Sciences
Vijay Singh Meena, Birendra Nath Ghosh, Raman Jeet Singh, Ranjan Bhattacharyya, N. K. Sharma, N. M. Alam, Sunita Kumari Meena, P. K. Mishra
Summary: The study found that dense forest land use type showed the highest values in terms of soil carbon pools, soil aggregation, and CMI, while the rainfed land use system showed the lowest values. Land use types had minimal effect on nonlabile carbon, lability of carbon, lability index, and carbon pool index, while significant differences were observed in CMI values across different topographic positions.
LAND DEGRADATION & DEVELOPMENT
(2021)
Article
Geosciences, Multidisciplinary
Hamza Negis, Cevdet S. Eker, Vildan Erci, Ilknur Gumus
Summary: This study evaluated the impact of different land use types on soil quality in the Konya-Karapinar region and established a minimum dataset for the soil quality index (SQI). The results showed that there were significant improvements in soil quality compared to the wind erosion affected area, but the improvements were more limited in grazing land and forested land. It is recommended to allocate more land for horticulture in erosion protection areas.
Article
Environmental Sciences
Christian Rossi, Hamed Gholizadeh
Summary: Remotely sensed spectral diversity is a promising proxy for plant diversity, but current approaches only consider variation among adjacent pixels and neglect within-pixel variability. To overcome these limitations, we proposed a novel approach called endmember diversity, which quantifies spectral diversity at the sub-pixel level and takes into account within-pixel variability. Our method showed significant associations between endmember diversity and in situ plant diversity, outperforming conventional spectral diversity metrics.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Adrian Moncholi-Estornell, Maria Pilar Cendrero-Mateo, Michal Antala, Sergio Cogliati, Jose Moreno, Shari Van Wittenberghe
Summary: Solar-induced chlorophyll fluorescence (SIF) is a useful indicator of vegetation health, and its relationship with absorbed photosynthetically active radiation (APAR) was studied in Salvia farinacea and Datura stramonium plants. The results showed that the ratio between SIF and APAR was stable under proper green APAR flux. This supports the use of field spectroscopy and imaging spectroscopy for interpreting fluorescence at larger scales.
Article
Agriculture, Multidisciplinary
Helen M. Hughes, Shelby C. McClelland, Meagan E. Schipanski, Jonathan Hillier
Summary: This study aimed to predict the impact of temperate cover cropping on soil carbon using simple models for farmer decision support. The results showed that cover cropping in temperate climates can increase soil carbon stocks as long as the biomass production exceeds 1.3 Mg ha-1 yr-1.
AGRICULTURAL SYSTEMS
(2023)
Article
Agriculture, Multidisciplinary
Reem Abukmeil, Ahmad A. Al-Mallahi, Felipe Campelo
Summary: This study assessed the correlation between the chemical contents of potato petioles and leaf spectrum, and compared the correlation values of dried and fresh leaves. The results showed high potential for estimating potato plant elements based on foliar spectral reflectance.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Soil Science
Wartini Ng, Budiman Minasny, Edward Jones, Alex McBratney
Summary: This study evaluates different strategies to improve the model accuracy of a regional spectral library for soil organic carbon prediction and found that local and localized models perform better than other strategies when more than 20 local samples are used.
Article
Environmental Sciences
Erdem Ozer, Ugur Murat Leloglu
Summary: Wetlands are important for biodiversity and ecosystems, and monitoring their extent and ground characteristics is crucial for sustainable development. This study proposes a remote sensing-based method to determine the extent of wetlands and extract their ground features at the sub-pixel level. Experimental results using wetlands in Turkey demonstrate the accuracy of the method in determining wetland extent and identifying land cover classes.
GEOCARTO INTERNATIONAL
(2022)
Article
Agronomy
Hong Li, Junwei Wang, Jixiong Zhang, Tongqing Liu, Gifty E. Acquah, Huimin Yuan
Summary: This study explores the potential of combining multivariate methods and spectral variable selection for estimating soil organic matter and total nitrogen using mid-infrared spectroscopy. Through analysis of 510 soil samples, the study finds that the model combining multiple linear regression with stability competitive adaptive reweighted sampling yields the most accurate estimation results.
Article
Engineering, Electrical & Electronic
Fan Li, Shaoquan Zhang, Bingkun Liang, Chengzhi Deng, Chenguang Xu, Shengqian Wang
Summary: The spectral-spatial low-rank sparse unmixing (SSLRSU) algorithm improves unmixing accuracy through double weighting factors and low-rank regularization, showing superior performance compared to other advanced sparse unmixing strategies.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Chemistry, Analytical
Kevin Alonso, Martin Bachmann, Kara Burch, Emiliano Carmona, Daniele Cerra, Raquel de los Reyes, Daniele Dietrich, Uta Heiden, Andreas Hoelderlin, Jack Ickes, Uwe Knodt, David Krutz, Heath Lester, Rupert Mueller, Mary Pagnutti, Peter Reinartz, Rudolf Richter, Robert Ryan, Ilse Sebastian, Mirco Tegler
Article
Chemistry, Analytical
Raquel de los Reyes, Maximilian Langheinrich, Peter Schwind, Rudolf Richter, Bringfried Pflug, Martin Bachmann, Rupert Mueller, Emiliano Carmona, Viktoria Zekoll, Peter Reinartz
Article
Environmental Sciences
Stefan Dech, Stefanie Holzwarth, Sarah Asam, Thorsten Andresen, Martin Bachmann, Martin Boettcher, Andreas Dietz, Christina Eisfelder, Corinne Frey, Gerhard Gesell, Ursula Gessner, Andreas Hirner, Matthias Hofmann, Grit Kirches, Doris Klein, Igor Klein, Tanja Kraus, Detmar Krause, Simon Plank, Thomas Popp, Sophie Reinermann, Philipp Reiners, Sebastian Roessler, Thomas Ruppert, Alexander Scherbachenko, Ranjitha Vignesh, Meinhard Wolfmueller, Hendrik Zwenzner, Claudia Kuenzer
Summary: Earth Observation satellite data allows for monitoring large areas of the planet at predefined intervals, but long-term impacts of climate change require data spanning several decades. The AVHRR sensor family provides a 40-year daily observation time span, essential for studying climate change effects. Generating long-term time series requires meticulous preprocessing and harmonization to ensure data accuracy and reliability.
Article
Environmental Sciences
Philipp Reiners, Sarah Asam, Corinne Frey, Stefanie Holzwarth, Martin Bachmann, Jose Sobrino, Frank-M Goettsche, Joerg Bendix, Claudia Kuenzer
Summary: Land Surface Temperature (LST) is crucial for tracking the impact of changing climatic conditions, and satellite-derived LST is essential for consistently monitoring these changes over large areas and long time periods. The TIMELINE project successfully derived stable LST time series from multi-decadal AVHRR data, with errors mainly influenced by the LST level.
Article
Environmental Sciences
Simone Zepp, Uta Heiden, Martin Bachmann, Martin Wiesmeier, Michael Steininger, Bas van Wesemael
Summary: This research utilized Earth Observation data to conduct composite mapping of soil in Bavaria, Germany over multiple years, estimating soil organic carbon (SOC) content using different machine learning algorithms, and successfully predicting SOC content using the Random Forest (RF) model.
Article
Environmental Sciences
Martin Bachmann, Kevin Alonso, Emiliano Carmona, Birgit Gerasch, Martin Habermeyer, Stefanie Holzwarth, Harald Krawczyk, Maximilian Langheinrich, David Marshall, Miguel Pato, Nicole Pinnel, Raquel de losReyes, Mathias Schneider, Peter Schwind, Tobias Storch
Summary: Ground segments of Landsat and Sentinel missions provide well-calibrated datasets which are orthorectified and corrected for atmospheric effects. Initiatives like CEOS ARD propose guidelines for easily using such datasets and ensuring interoperability. The increasing availability of hyperspectral sensor data from EnMAP, DESIS, PRISMA, and upcoming missions like CHIME and SBG make analysis ready hyperspectral data more valuable.
Article
Virology
Fabian Heinrich, Kevin Roedl, Dominik Jarczak, Hanna-Lisa Goebels, Axel Heinemann, Ulrich Schaefer, Frank Ludwig, Martin Bachmann, Berthold Bein, Christian Friedrich Weber, Karsten Sydow, Marc Bota, Hans-Richard Paschen, Andreas de Weerth, Carsten Veit, Oliver Detsch, Philipp-Alexander Brand, Stefan Kluge, Benjamin Ondruschka, Dominic Wichmann
Summary: This study investigated the occurrence and prevention of VTE in critically ill COVID-19 patients and found a high incidence of VTE in these patients. It also found that a change in anticoagulation practice was associated with a prolonged survival time for these patients.
Article
Environmental Sciences
Raquel De Los Reyes, Rudolf Richter, Martin Bachmann, Kevin Alonso, Bringfried Pflug, Bruno Lafrance, Peter Reinartz
Summary: This study compares the effects of different solar models on the atmospherically corrected ground reflectance and finds that there is no difference when the solar irradiance model is preserved, but differences appear when the model used for atmospheric correction changes, with larger differences between certain models.
Article
Environmental Sciences
Sarah Asam, Christina Eisfelder, Andreas Hirner, Philipp Reiners, Stefanie Holzwarth, Martin Bachmann
Summary: Remote sensing image composites are crucial for various remote sensing applications, but there is no standardized procedure for creating NDVI time series over the AVHRR time-span. This study thoroughly assesses the effect of different compositing procedures on AVHRR NDVI composites and identifies the median approach as the best-performing algorithm. The generated NDVI time series shows consistent behavior and close agreement to the standard MODIS NDVI product.
Article
Environmental Sciences
Tobias Storch, Hans-Peter Honold, Sabine Chabrillat, Martin Habermeyer, Paul Tucker, Maximilian Brell, Andreas Ohndorf, Katrin Wirth, Matthias Betz, Michael Kuchler, Helmut Muehle, Emiliano Carmona, Simon Baur, Martin Muecke, Sebastian Loew, Daniel Schulze, Steffen Zimmermann, Christoph Lenzen, Sebastian Wiesner, Saika Aida, Ralph Kahle, Peter Willburger, Sebastian Hartung, Daniele Dietrich, Nicolae Plesia, Mirco Tegler, Katharina Schork, Kevin Alonso, David Marshall, Birgit Gerasch, Peter Schwind, Miguel Pato, Mathias Schneider, Raquel de los Reyes, Maximilian Langheinrich, Julian Wenzel, Martin Bachmann, Stefanie Holzwarth, Nicole Pinnel, Luis Guanter, Karl Segl, Daniel Scheffler, Saskia Foerster, Niklas Bohn, Astrid Bracher, Mariana A. Soppa, Ferran Gascon, Rob Green, Raymond Kokaly, Jose Moreno, Cindy Ong, Manuela Sornig, Ricarda Wernitz, Klaus Bagschik, Detlef Reintsema, Laura La Porta, Anke Schickling, Sebastian Fischer
Summary: EnMAP is a high-resolution imaging spectroscopy remote sensing mission that was launched on April 1st, 2022. It is equipped with a prism-based dual-spectrometer and performs observations in the spectral range of 418.2 nm to 2445.5 nm. With a ground instantaneous field-of-view of 30 mx 30 m at a swath width of 30 km, EnMAP allows for the analysis of surface variables on a global scale. This article presents the EnMAP mission, activities, results, and expected performances for existing and future users.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Christina Eisfelder, Sarah Asam, Andreas Hirner, Philipp Reiners, Stefanie Holzwarth, Martin Bachmann, Ursula Gessner, Andreas Dietz, Juliane Huth, Felix Bachofer, Claudia Kuenzer
Summary: Remote sensing multi-decadal time-series provide important information for analysing long-term environmental change. This study presents a novel NDVI product based on AVHRR data, which can be used for monitoring vegetation conditions and assessing long-term vegetation change in Europe and northern Africa. The study reveals distinct NDVI trends for different regions and seasons.
Article
Environmental Sciences
Martin Bachmann, Tobias Storch
Summary: This study analyzes nighttime VIS/NIR-SWIR spectra from satellite mission using the EnMAP high-resolution imaging spectrometer and validates its spectral calibration. The results demonstrate the feasibility of spectral calibration methods based on nighttime Earth observations for future satellite missions, and showcase the precise identification of lighting types and thermal emissions using nighttime high-resolution imaging spectroscopy satellite products.
Proceedings Paper
Engineering, Electrical & Electronic
R. Mueller, M. Bachmann, K. Alonso, E. Carmona, D. Cerra, R. De los Reyes, B. Gerasch, H. Krawczyk, V Ziel, U. Heiden, D. Krutz
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Martin Habermeyer, Martin Bachmann, Emiliano Carmona, Heiko Damerow, Sabine Engelbrecht, Thomas Fruth, Uta Heiden, Klaus-Dieter Missling, Helmut Muehle, Andreas Ohndorf, Gintautas Palubinskas, Tobias Storch, Steffen Zimmermann
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
(2018)
Proceedings Paper
Remote Sensing
Merlin Becker, Simon Schreiner, Stefan Auer, Daniele Cerra, Peter Gege, Martin Bachmann, Andreas Roitzsch, Uwe Mitschke, Wolfgang Middelmann
EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS IX
(2018)