- Article
(9462 KB) - Metadata XML
- December 26, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2
https://doi.org/10.5194/isprs-archives-XLII-2-539-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLII-2-539-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2018
| 30 May 2018
WATCHING GRASS GROW- A PILOT STUDY ON THE SUITABILITY OF PHOTOGRAMMETRIC TECHNIQUES FOR QUANTIFYING CHANGE IN ABOVEGROUND BIOMASS IN GRASSLAND EXPERIMENTS
M. Kröhnert
Institute of Photogrammetry and Remote Sensing, TU Dresden, Germany
R. Anderson
Department of Monitoring and Exploration Technologies, Helmholtz Center for Environmental Research (UFZ), Leipzig, Germany
Department of Physiological Diversity, Helmholtz Center for Environmental Research (UFZ), Leipzig, Germany
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany
J. Bumberger
Department of Monitoring and Exploration Technologies, Helmholtz Center for Environmental Research (UFZ), Leipzig, Germany
P. Dietrich
Department of Monitoring and Exploration Technologies, Helmholtz Center for Environmental Research (UFZ), Leipzig, Germany
Department of Geosciences, University of Tübingen, Germany
W. S. Harpole
Department of Physiological Diversity, Helmholtz Center for Environmental Research (UFZ), Leipzig, Germany
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany
Institute of Biology, Martin Luther University Halle-Wittenberg, Germany
H.-G. Maas
Institute of Photogrammetry and Remote Sensing, TU Dresden, Germany
Related authors
M. Kröhnert and A. Eltner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 543–550, https://doi.org/10.5194/isprs-archives-XLII-2-543-2018, https://doi.org/10.5194/isprs-archives-XLII-2-543-2018, 2018
M. Kröhnert and R. Meichsner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 1–8, https://doi.org/10.5194/isprs-annals-IV-2-W4-1-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-1-2017, 2017
M. Kröhnert
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 857–863, https://doi.org/10.5194/isprs-archives-XLI-B5-857-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-857-2016, 2016
Frank Liebold and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W7-2024, 65–72, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-65-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-65-2024, 2024
Daniel Altdorff, Maik Heistermann, Till Francke, Martin Schrön, Sabine Attinger, Albrecht Bauriegel, Frank Beyrich, Peter Biró, Peter Dietrich, Rebekka Eichstädt, Peter Martin Grosse, Arvid Markert, Jakob Terschlüsen, Ariane Walz, Steffen Zacharias, and Sascha E. Oswald
EGUsphere, https://doi.org/10.5194/egusphere-2024-3848, https://doi.org/10.5194/egusphere-2024-3848, 2024
Short summary
Short summary
The German federal state of Brandenburg is particularly prone to soil moisture droughts. To support the management of related risks, we introduce a novel soil moisture and drought monitoring network based on cosmic-ray neutron sensing technology. This initiative is driven by a collaboration of research institutions and federal state agencies, and it is the first of its kind in Germany to have started operation. In this brief communication, we outline the network design and share first results.
Peter Jung, Götz Hornbruch, Andreas Dahmke, Peter Dietrich, and Ulrike Werban
Solid Earth, 15, 1465–1477, https://doi.org/10.5194/se-15-1465-2024, https://doi.org/10.5194/se-15-1465-2024, 2024
Short summary
Short summary
We demonstrate the feasibility of imaging vertical freezing boundaries using borehole ground-penetrating radar (GPR) in experimental geological latent heat storage, where part of a shallow Quaternary aquifer is frozen. To gain insights into the current thermal state in the subsurface, we assess the frozen volume dimension. We show that a combination of crosshole and reflection measurements allows us to image the ice body with high accuracy in the challenging environment of saturated sediments.
Anne Bienert, Katja Richter, Sophia Boehme, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 33–40, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-33-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-33-2024, 2024
Christian Mulsow, Hannes Sardemann, Laure-Anne Gueguen, Gottfried Mandelburger, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 289–295, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024, 2024
Katja Richter, David Mader, Hannes Sardemann, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 341–348, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-341-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-341-2024, 2024
Hannes Sardemann, Christian Mulsow, Laure-Anne Gueguen, Gottfried Mandlburger, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 363–369, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024, 2024
Robert Blaskow and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 9–16, https://doi.org/10.5194/isprs-annals-X-2-2024-9-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-9-2024, 2024
Melanie Elias, Steffen Isfort, Anette Eltner, and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 57–64, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, 2024
Steffen Isfort, Melanie Elias, and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 113–120, https://doi.org/10.5194/isprs-annals-X-2-2024-113-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-113-2024, 2024
F. Wagner and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1667–1676, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1667-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1667-2023, 2023
F. Liebold and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 61–68, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-61-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-61-2022, 2022
S. Isfort, F. Maiwald, C. Mulsow, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 113–119, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-113-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-113-2022, 2022
M. Jarzabek-Rychard and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 395–400, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-395-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-395-2022, 2022
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 945–951, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022, 2022
Andreas Wieser, Andreas Güntner, Peter Dietrich, Jan Handwerker, Dina Khordakova, Uta Ködel, Martin Kohler, Hannes Mollenhauer, Bernhard Mühr, Erik Nixdorf, Marvin Reich, Christian Rolf, Martin Schrön, Claudia Schütze, and Ute Weber
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-131, https://doi.org/10.5194/hess-2022-131, 2022
Preprint withdrawn
Short summary
Short summary
We present an event-triggered observation concept which covers the entire process chain from heavy precipitation to flooding at the catchment scale. It combines flexible and mobile observing systems out of the fields of meteorology, hydrology and geophysics with stationary networks to capture atmospheric transport processes, heterogeneous precipitation patterns, land surface and subsurface storage processes, and runoff dynamics.
M. Jarząbek-Rychard and H-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-5-W1-2022, 1–7, https://doi.org/10.5194/isprs-annals-VIII-5-W1-2022-1-2022, https://doi.org/10.5194/isprs-annals-VIII-5-W1-2022-1-2022, 2022
F. Liebold, R. Lorenzoni, I. Curosu, F. Léonard, V. Mechtcherine, S. Paciornik, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 533–539, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021, 2021
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 681–688, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021, 2021
H. Sardemann, C. Mulsow, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 689–692, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-689-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-689-2021, 2021
Alraune Zech, Peter Dietrich, Sabine Attinger, and Georg Teutsch
Hydrol. Earth Syst. Sci., 25, 1–15, https://doi.org/10.5194/hess-25-1-2021, https://doi.org/10.5194/hess-25-1-2021, 2021
E. Johnson, D. Floricioiu, E. Schwalbe, R. Koschitzki, H.-G. Maas, C. Cardenas, and G. Casassa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 125–127, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-125-2020, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-125-2020, 2020
E. Schwalbe, R. Koschitzki, E. Johnson, D. F. Mojica Moncada, B. Schröter, C. Cardenas, G. Casassa, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 129–131, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-129-2020, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-129-2020, 2020
M. Elias and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 181–187, https://doi.org/10.5194/isprs-annals-V-1-2020-181-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-181-2020, 2020
C. Mulsow, G. Mandlburger, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 671–677, https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020, 2020
F. Liebold, H.-G. Maas, and A. A. Heravi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 107–113, https://doi.org/10.5194/isprs-archives-XLII-2-W18-107-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W18-107-2019, 2019
T. Kaiser, C. Clemen, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W2, 35–39, https://doi.org/10.5194/isprs-archives-XLII-5-W2-35-2019, https://doi.org/10.5194/isprs-archives-XLII-5-W2-35-2019, 2019
D. Mader, K. Richter, P. Westfeld, R. Weiß, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1053–1059, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1053-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1053-2019, 2019
D. Lin, Z. Dong, X. Zhang, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 45–51, https://doi.org/10.5194/isprs-annals-IV-2-W5-45-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-45-2019, 2019
S. C. L. Ribeiro, M. Jarzabek-Rychard, J. P. Cintra, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 437–444, https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019, 2019
H.-G. Maas, D. Mader, K. Richter, and P. Westfeld
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 113–117, https://doi.org/10.5194/isprs-archives-XLII-2-W10-113-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-113-2019, 2019
M. Kröhnert and A. Eltner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 543–550, https://doi.org/10.5194/isprs-archives-XLII-2-543-2018, https://doi.org/10.5194/isprs-archives-XLII-2-543-2018, 2018
D. Lin, M. Jarzabek-Rychard, D. Schneider, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 585–591, https://doi.org/10.5194/isprs-archives-XLII-2-585-2018, https://doi.org/10.5194/isprs-archives-XLII-2-585-2018, 2018
C. Mulsow, R. Kenner, Y. Bühler, A. Stoffel, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 739–744, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, 2018
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 961–967, https://doi.org/10.5194/isprs-archives-XLII-2-961-2018, https://doi.org/10.5194/isprs-archives-XLII-2-961-2018, 2018
H. Sardemann, A. Eltner, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1023–1027, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, 2018
E. Watson, H.-G. Maas, F. Schäfer, and S. Hiermaier
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1175–1181, https://doi.org/10.5194/isprs-archives-XLII-2-1175-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1175-2018, 2018
F. Liebold and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 193–200, https://doi.org/10.5194/isprs-annals-IV-2-193-2018, https://doi.org/10.5194/isprs-annals-IV-2-193-2018, 2018
D. Lin, A. Eltner, H. Sardemann, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201–208, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, 2018
Martin Schrön, Steffen Zacharias, Gary Womack, Markus Köhli, Darin Desilets, Sascha E. Oswald, Jan Bumberger, Hannes Mollenhauer, Simon Kögler, Paul Remmler, Mandy Kasner, Astrid Denk, and Peter Dietrich
Geosci. Instrum. Method. Data Syst., 7, 83–99, https://doi.org/10.5194/gi-7-83-2018, https://doi.org/10.5194/gi-7-83-2018, 2018
Short summary
Short summary
Cosmic-ray neutron sensing (CRNS) is a unique technology to monitor water storages in complex environments, non-invasively, continuously, autonomuously, and representatively in large areas. However, neutron detector signals are not comparable per se: there is statistical noise, technical differences, and locational effects. We found out what it takes to make CRNS consistent in time and space to ensure reliable data quality. We further propose a method to correct for sealed areas in the footrint.
Ellen Schwalbe and Hans-Gerd Maas
Earth Surf. Dynam., 5, 861–879, https://doi.org/10.5194/esurf-5-861-2017, https://doi.org/10.5194/esurf-5-861-2017, 2017
Short summary
Short summary
The simple use of time-lapse cameras as a visual observation tool may already be a great help for environmental investigations. However, beyond that, they have the potential to also deliver precise measurements with high temporal and spatial resolution when applying appropriate processing techniques. In this paper we introduce a method for the determination of glacier motion fields from time-lapse images, but it might also be adapted for other environmental motion analysis tasks.
Martin Schrön, Markus Köhli, Lena Scheiffele, Joost Iwema, Heye R. Bogena, Ling Lv, Edoardo Martini, Gabriele Baroni, Rafael Rosolem, Jannis Weimar, Juliane Mai, Matthias Cuntz, Corinna Rebmann, Sascha E. Oswald, Peter Dietrich, Ulrich Schmidt, and Steffen Zacharias
Hydrol. Earth Syst. Sci., 21, 5009–5030, https://doi.org/10.5194/hess-21-5009-2017, https://doi.org/10.5194/hess-21-5009-2017, 2017
Short summary
Short summary
A field-scale average of near-surface water content can be sensed by cosmic-ray neutron detectors. To interpret, calibrate, and validate the integral signal, it is important to account for its sensitivity to heterogeneous patterns like dry or wet spots. We show how point samples contribute to the neutron signal based on their depth and distance from the detector. This approach robustly improves the sensor performance and data consistency, and even reveals otherwise hidden hydrological features.
M. Kröhnert and R. Meichsner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 1–8, https://doi.org/10.5194/isprs-annals-IV-2-W4-1-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-1-2017, 2017
Edoardo Martini, Ulrike Werban, Steffen Zacharias, Marco Pohle, Peter Dietrich, and Ute Wollschläger
Hydrol. Earth Syst. Sci., 21, 495–513, https://doi.org/10.5194/hess-21-495-2017, https://doi.org/10.5194/hess-21-495-2017, 2017
Short summary
Short summary
With a process-based interpretation of electromagnetic induction measurements, we discussed the potential and limitations of such a method for soil moisture mapping. Results will help clarify the complex and time-varying effect of stable soil properties and dynamic state variables on the physical parameters measured, with implications for future studies. We highlighted the importance of time-series data and the need for a multidisciplinary approach for proper interpretation.
M. Kröhnert
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 857–863, https://doi.org/10.5194/isprs-archives-XLI-B5-857-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-857-2016, 2016
E. Zehe, U. Ehret, L. Pfister, T. Blume, B. Schröder, M. Westhoff, C. Jackisch, S. J. Schymanski, M. Weiler, K. Schulz, N. Allroggen, J. Tronicke, L. van Schaik, P. Dietrich, U. Scherer, J. Eccard, V. Wulfmeyer, and A. Kleidon
Hydrol. Earth Syst. Sci., 18, 4635–4655, https://doi.org/10.5194/hess-18-4635-2014, https://doi.org/10.5194/hess-18-4635-2014, 2014
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org