Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Daniel Doktor"'
Publikováno v:
Ecological Indicators, Vol 143, Iss , Pp 109424- (2022)
Leaf chlorophyll content (LCC) is an important indicator of plant health. Earth observation facilitates LCC monitoring on large spatial scales and within short time intervals by retrieving canopy LCC from spectral signals. However, in-situ measuremen
Externí odkaz:
https://doaj.org/article/dd97fb056e2547f6befc69e85f8345fc
Autor:
Hannes Feilhauer, András Zlinszky, Adam Kania, Giles M. Foody, Daniel Doktor, Angela Lausch, Sebastian Schmidtlein
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 2, Pp 292-305 (2021)
Abstract Mapping vegetation as hard classes based on remote sensing data is a frequently applied approach, even though this crisp, categorical representation is not in line with nature's fuzziness. Gradual transitions in plant species composition in
Externí odkaz:
https://doaj.org/article/30544a1db57d48c2b963691d347a70c7
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1136 (2020)
The Normalized Difference Vegetation Index (NDVI), has been increasingly used to capture spatiotemporal variations in cover factor (C) determination for erosion prediction on a larger landscape scale. However, NDVI-based C factor (Cndvi) estimation p
Externí odkaz:
https://doaj.org/article/56ea46fb8a424e239bdc882d6fd55743
Autor:
Carsten Neumann, Gabriele Weiss, Sebastian Schmidtlein, Sibylle Itzerott, Angela Lausch, Daniel Doktor, Maximilian Brell
Publikováno v:
Remote Sensing, Vol 7, Iss 3, Pp 2871-2898 (2015)
The monitoring of ecosystems alterations has become a crucial task in order to develop valuable habitats for rare and threatened species. The information extracted from hyperspectral remote sensing data enables the generation of highly spatially reso
Externí odkaz:
https://doaj.org/article/afd276a9da724f90a0aa2b3f1bb12688
Publikováno v:
Remote Sensing, Vol 6, Iss 12, Pp 12247-12274 (2014)
The machine learning method, random forest (RF), is applied in order to derive biophysical and structural vegetation parameters from hyperspectral signatures. Hyperspectral data are, among other things, characterized by their high dimensionality and
Externí odkaz:
https://doaj.org/article/2721dfa472b64a59a5aacfc4950229eb
Autor:
Sigrid Roessner, Robert Behling, Hans-Ulrich Wetzel, Hermann Kaufmann, Daniel Doktor, Angela Lausch, Karl Segl, Mathias Bochow, Daniel Spengler, Christian Rogaß
Publikováno v:
Sensors, Vol 11, Iss 6, Pp 6370-6395 (2011)
The analysis of hyperspectral images is an important task in Remote Sensing. Foregoing radiometric calibration results in the assignment of incident electromagnetic radiation to digital numbers and reduces the striping caused by slightly different re
Externí odkaz:
https://doaj.org/article/1414b4879d2348b2b261a41c3fdc88e6
Autor:
Joan-Cristian Padró, Xavier Pons, David Aragonés, Ricardo Díaz-Delgado, Diego García, Javier Bustamante, Lluís Pesquer, Cristina Domingo-Marimon, Òscar González-Guerrero, Jordi Cristóbal, Daniel Doktor, Maximilian Lange
Publikováno v:
Remote Sensing, Vol 9, Iss 12, p 1319 (2017)
The use of Pseudoinvariant Areas (PIA) makes it possible to carry out a reasonably robust and automatic radiometric correction for long time series of remote sensing imagery, as shown in previous studies for large data sets of Landsat MSS, TM, and ET
Externí odkaz:
https://doaj.org/article/8d2e8df732eb4e4a9a264cc21085d3ed
Autor:
Maximilian Lange, Benjamin Dechant, Corinna Rebmann, Michael Vohland, Matthias Cuntz, Daniel Doktor
Publikováno v:
Sensors, Vol 17, Iss 8, p 1855 (2017)
Quantifying the accuracy of remote sensing products is a timely endeavor given the rapid increase in Earth observation missions. A validation site for Sentinel-2 products was hence established in central Germany. Automatic multispectral and hyperspec
Externí odkaz:
https://doaj.org/article/71b008f6f711489d9e21e8d7159a3c14
Publikováno v:
Remote Sensing, Vol 9, Iss 3, p 254 (2017)
Phenological metrics extracted from satellite data (phenometrics) have been increasingly used to access timely, spatially explicit information on crop phenology, but have rarely been calibrated and validated with field observations. In this study, we
Externí odkaz:
https://doaj.org/article/4690e8f01b0a4c568194a14c568ef857
Autor:
Anne Reichmuth, Ingolf Kühn, Oldrich Rakovec, Friedrich Boeing, Sebastian Müller, Luis Samaniego, Daniel Doktor
The climate crisis leads to a change in forest tree species distributions, favouring most likely heat and drought tolerant species. As a consequence, many forest sites across Europe will become unsuitable for drought sensitive species. The combinatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fa8e03e920b000fb8fae3996581bb49
https://doi.org/10.5194/egusphere-egu23-17060
https://doi.org/10.5194/egusphere-egu23-17060