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Items: 10

1.

Multi-Parameter Relief Map from High-Resolution DEMs: A Case Study of Mudstone Badland.

Chu HJ, Chen YC, Ali MZ, Höfle B.

Int J Environ Res Public Health. 2019 Mar 28;16(7). pii: E1109. doi: 10.3390/ijerph16071109.

2.

Direct derivation of maize plant and crop height from low-cost time-of-flight camera measurements.

Hämmerle M, Höfle B.

Plant Methods. 2016 Nov 28;12:50. eCollection 2016.

3.

3D Participatory Sensing with Low-Cost Mobile Devices for Crop Height Assessment--A Comparison with Terrestrial Laser Scanning Data.

Marx S, Hämmerle M, Klonner C, Höfle B.

PLoS One. 2016 Apr 13;11(4):e0152839. doi: 10.1371/journal.pone.0152839. eCollection 2016.

4.

Systematic review of current efforts to quantify the impacts of climate change on undernutrition.

Phalkey RK, Aranda-Jan C, Marx S, Höfle B, Sauerborn R.

Proc Natl Acad Sci U S A. 2015 Aug 18;112(33):E4522-9. doi: 10.1073/pnas.1409769112. Epub 2015 Jul 27. Review.

5.

Effects of reduced terrestrial LiDAR point density on high-resolution grain crop surface models in precision agriculture.

Hämmerle M, Höfle B.

Sensors (Basel). 2014 Dec 16;14(12):24212-30. doi: 10.3390/s141224212.

6.

Geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa: a systematic review of approaches.

Marx S, Phalkey R, Aranda-Jan CB, Profe J, Sauerborn R, Höfle B.

BMC Public Health. 2014 Nov 20;14:1189. doi: 10.1186/1471-2458-14-1189. Review.

7.

Methods to measure potential spatial access to delivery care in low- and middle-income countries: a case study in rural Ghana.

Nesbitt RC, Gabrysch S, Laub A, Soremekun S, Manu A, Kirkwood BR, Amenga-Etego S, Wiru K, Höfle B, Grundy C.

Int J Health Geogr. 2014 Jun 26;13:25. doi: 10.1186/1476-072X-13-25.

8.

Estimation of aboveground biomass in alpine forests: a semi-empirical approach considering canopy transparency derived from airborne LiDAR data.

Jochem A, Hollaus M, Rutzinger M, Höfle B.

Sensors (Basel). 2011;11(1):278-95. doi: 10.3390/s110100278. Epub 2010 Dec 29.

9.

Automatic roof plane detection and analysis in airborne lidar point clouds for solar potential assessment.

Jochem A, Höfle B, Rutzinger M, Pfeifer N.

Sensors (Basel). 2009;9(7):5241-62. doi: 10.3390/s90705241. Epub 2009 Jul 2.

10.

Object-Based Point Cloud Analysis of Full-Waveform Airborne Laser Scanning Data for Urban Vegetation Classification.

Rutzinger M, Höfle B, Hollaus M, Pfeifer N.

Sensors (Basel). 2008 Aug 4;8(8):4505-4528.

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