Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: A feasibility study
T Udelhoven, C Emmerling, T Jarmer - Plant and soil, 2003 - Springer
Soil chemical properties from different locations in the Trier region, Rhineland-Palatinate,
SW Germany were evaluated using VIS/NIR reflectance spectrometry (ASD FieldSpec-II …
SW Germany were evaluated using VIS/NIR reflectance spectrometry (ASD FieldSpec-II …
Linking spatial patterns of soil organic carbon to topography—A case study from south-eastern Spain
W Schwanghart, T Jarmer - Geomorphology, 2011 - Elsevier
A key uncertainty in our understanding of the global carbon cycle is the lateral movement of
carbon through the terrestrial system. Soils are the major storage of carbon in the terrestrial …
carbon through the terrestrial system. Soils are the major storage of carbon in the terrestrial …
[HTML][HTML] High-resolution UAV-based hyperspectral imagery for LAI and chlorophyll estimations from wheat for yield prediction
The efficient use of nitrogen fertilizer is a crucial problem in modern agriculture. Fertilization
has to be minimized to reduce environmental impacts but done so optimally without …
has to be minimized to reduce environmental impacts but done so optimally without …
Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data
B Siegmann, T Jarmer - International journal of remote sensing, 2015 - Taylor & Francis
Leaf area index (LAI) is one of the most important plant parameters when observing agricultural
crops and a decisive factor for yield estimates. Remote-sensing data provide spectral …
crops and a decisive factor for yield estimates. Remote-sensing data provide spectral …
Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture
K Koenig, B Höfle, M Hämmerle, T Jarmer… - ISPRS journal of …, 2015 - Elsevier
In precision agriculture, detailed geoinformation on plant and soil properties plays an
important role, eg, in crop protection or the application of fertilizers. This paper presents a …
important role, eg, in crop protection or the application of fertilizers. This paper presents a …
[HTML][HTML] UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation
Pumpkins are economically and nutritionally valuable vegetables with increasing popularity
and acreage across Europe. Successful commercialization, however, require detailed pre-…
and acreage across Europe. Successful commercialization, however, require detailed pre-…
[PDF][PDF] Retrieval of wheat bio-physical attributes from hyperspectral data and SAILH+ PROSPECT radiative transfer model
C Atzberger, T Jarmer, M Schlerf, B Kötz… - Proceedings of the 3rd …, 2003 - Citeseer
A simple soil reflectance parameterization was empirically calibrated and integrated into the
SAILH+ PROSPECT canopy reflectance model to assess simultaneously LAI and canopy …
SAILH+ PROSPECT canopy reflectance model to assess simultaneously LAI and canopy …
[HTML][HTML] Systematic approach for remote sensing of historical conflict landscapes with UAV-based laserscanning
M Storch, T Jarmer, M Adam, N de Lange - Sensors, 2021 - mdpi.com
In order to locate historical traces, drone-based Laserscanning has become increasingly
popular in archaeological prospection and historical conflict landscapes research. The low …
popular in archaeological prospection and historical conflict landscapes research. The low …
[HTML][HTML] Convolutional Neural Network Maps Plant Communities in Semi-Natural Grasslands Using Multispectral Unmanned Aerial Vehicle Imagery
Semi-natural grasslands (SNGs) are an essential part of European cultural landscapes. They
are an important habitat for many animal and plant species and offer a variety of ecological …
are an important habitat for many animal and plant species and offer a variety of ecological …
Estimating LAI from winter wheat using UAV data and CNNs
L Wittstruck, T Jarmer, D Trautz… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
With the advent of high-resolution unmanned aerial vehicle (UAV) data and advancing
methods of deep learning, new opportunities have emerged in remote sensing to assess …
methods of deep learning, new opportunities have emerged in remote sensing to assess …