Lausch A - Search Results

1

Measuring spatio-temporal heterogeneity and interior characteristics of green spaces in urban neighborhoods: A new approach using gray level co-occurrence matrix.

Xie C, Wang J, Haase D, Wellmann T, Lausch A. Xie C, et al. Among authors: lausch a. Sci Total Environ. 2023 Jan 10;855:158608. doi: 10.1016/j.scitotenv.2022.158608. Epub 2022 Sep 8. Sci Total Environ. 2023. PMID: 36089028

2

High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms.

Zhou T, Geng Y, Chen J, Pan J, Haase D, Lausch A. Zhou T, et al. Among authors: lausch a. Sci Total Environ. 2020 Aug 10;729:138244. doi: 10.1016/j.scitotenv.2020.138244. Epub 2020 Apr 13. Sci Total Environ. 2020. PMID: 32498148

3

Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images.

Zhou T, Geng Y, Ji C, Xu X, Wang H, Pan J, Bumberger J, Haase D, Lausch A. Zhou T, et al. Among authors: lausch a. Sci Total Environ. 2021 Feb 10;755(Pt 2):142661. doi: 10.1016/j.scitotenv.2020.142661. Epub 2020 Oct 2. Sci Total Environ. 2021. PMID: 33059134

4

Reinforcing nature-based solutions through tools providing social-ecological-technological integration.

Wellmann T, Andersson E, Knapp S, Lausch A, Palliwoda J, Priess J, Scheuer S, Haase D. Wellmann T, et al. Among authors: lausch a. Ambio. 2023 Mar;52(3):489-507. doi: 10.1007/s13280-022-01801-4. Epub 2022 Oct 26. Ambio. 2023. PMID: 36287383 Free PMC article. Review.

5

A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape.

Lausch A, Pause M, Merbach I, Zacharias S, Doktor D, Volk M, Seppelt R. Lausch A, et al. Environ Monit Assess. 2013 Feb;185(2):1215-35. doi: 10.1007/s10661-012-2627-8. Epub 2012 Apr 25. Environ Monit Assess. 2013. PMID: 22527462

6

Monitoring and assessing of landscape heterogeneity at different scales.

Lausch A, Pause M, Doktor D, Preidl S, Schulz K. Lausch A, et al. Environ Monit Assess. 2013 Nov;185(11):9419-34. doi: 10.1007/s10661-013-3262-8. Epub 2013 May 30. Environ Monit Assess. 2013. PMID: 23719741

7

Supplementing land-use statistics with landscape metrics: some methodological considerations.

Herzog F, Lausch A. Herzog F, et al. Among authors: lausch a. Environ Monit Assess. 2001 Nov;72(1):37-50. doi: 10.1023/a:1011949704308. Environ Monit Assess. 2001. PMID: 11693553

8

Monitoring vegetation- and geodiversity with remote sensing and traits.

Lausch A, Selsam P, Pause M, Bumberger J. Lausch A, et al. Philos Trans A Math Phys Eng Sci. 2024 Apr;382(2269):20230058. doi: 10.1098/rsta.2023.0058. Epub 2024 Feb 12. Philos Trans A Math Phys Eng Sci. 2024. PMID: 38342219 Free PMC article. Review.

9

Reduction of radiometric miscalibration--applications to pushbroom sensors.

Rogass C, Spengler D, Bochow M, Segl K, Lausch A, Doktor D, Roessner S, Behling R, Wetzel HU, Kaufmann H. Rogass C, et al. Among authors: lausch a. Sensors (Basel). 2011;11(6):6370-95. doi: 10.3390/s110606370. Epub 2011 Jun 16. Sensors (Basel). 2011. PMID: 22163960 Free PMC article.

10

Atmospheric depositions affect the growth patterns of Scots pines (Pinus sylvestris L.)-a long-term cause-effect monitoring study using biomarkers.

Schulz H, Beck W, Lausch A. Schulz H, et al. Among authors: lausch a. Environ Monit Assess. 2019 Feb 14;191(3):159. doi: 10.1007/s10661-019-7272-z. Environ Monit Assess. 2019. PMID: 30762135

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