Towards The Retrieval of Plant Traits in Grasslands with Hyperspectral Enmap Data-Reference-Cited by-同舟云学术

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Towards The Retrieval of Plant Traits in Grasslands with Hyperspectral Enmap Data

Published:2023-10-31 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Author:

Schucknecht Anne¹,Reinermann Sophie²,Kiese Ralf³,Bayer Anita¹

Affiliation:

1. OHB System AG,Image Simulation and Processing Team,Wessling,Germany,82234

2. University of Würzburg, Institute of Geography and Geology,Department of Remote Sensing,Würzburg,Germany,97074

3. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research – Atmospheric Environmental Research,Garmisch-Partenkirchen,Germany,82467

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430415/10430497/10431190.pdf?arnumber=10431190

Reference27 articles.

1. Linking long-term landscape dynamics to the multiple interactions among ecosystem services in the European Alps

2. Amount, distribution and driving factors of soil organic carbon and nitrogen in cropland and grassland soils of southeast Germany (Bavaria)

3. Quantification of Grassland Biomass and Nitrogen Content through UAV Hyperspectral Imagery—Active Sample Selection for Model Transfer

4. Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets

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