Výsledky vyhľadávania - "Schlerf, M."
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Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data
ISSN: 0924-2716, 1872-8235Vydavateľské údaje: Amsterdam Elsevier B.V 01.08.2013Vydané v ISPRS journal of photogrammetry and remote sensing (01.08.2013)“…Grass nitrogen (N) and phosphorus (P) concentrations are direct indicators of rangeland quality and provide imperative information for sound management of…”
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High spatial resolution thermal infrared data from airborne acquisition reveal inconsistencies in evapotranspiration and crop water stress retrieval from different models
ISSN: 2352-9385, 2352-9385Vydavateľské údaje: Elsevier B.V 01.04.2025Vydané v Remote sensing applications (01.04.2025)“…As agriculture is the largest consumer of water worldwide, water use efficiency and the impacts of water stress on crops are of critical concerns. This study…”
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Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods
ISSN: 0143-1161, 1366-5901Vydavateľské údaje: Abingdon Taylor & Francis 20.12.2005Vydané v International journal of remote sensing (20.12.2005)“…Classifications of coniferous forest stands regarding tree species and age classes were performed using hyperspectral remote sensing data (HyMap) of a forest…”
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The fourth radiation transfer model intercomparison (RAMI-IV): Proficiency testing of canopy reflectance models with ISO-13528
ISSN: 2169-897X, 2169-8996Vydavateľské údaje: Hoboken, NJ Blackwell Publishing Ltd 16.07.2013Vydané v Journal of geophysical research. Atmospheres (16.07.2013)“…The radiation transfer model intercomparison (RAMI) activity aims at assessing the reliability of physics‐based radiative transfer (RT) models under controlled…”
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Nitrogen prediction in grasses: effect of bandwidth and plant material state on absorption feature selection
ISSN: 0143-1161, 1366-5901Vydavateľské údaje: Abingdon Taylor & Francis 01.01.2010Vydané v International journal of remote sensing (01.01.2010)“…We analysed stability and predictive capabilities of known nitrogen absorption features between plant material prepared for NIRS (dried) and RS (fresh)…”
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ESTIMATING BIOCHEMICAL PARAMETERS OF TEA ( CAMELLIA SINENSIS (L.)) USING HYPERSPECTRAL TECHNIQUES
ISSN: 2194-9034, 1682-1750, 2194-9034Vydavateľské údaje: Copernicus Publications 28.07.2012Vydané v International archives of the photogrammetry, remote sensing and spatial information sciences. (28.07.2012)“…Tea (Camellia Sinensis (L.)) is an important economic crop and the market price of tea depends largely on its quality. This research aims to explore the…”
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Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models
ISSN: 0924-2716, 1872-8235Vydavateľské údaje: Amsterdam Elsevier B.V 01.11.2011Vydané v ISPRS journal of photogrammetry and remote sensing (01.11.2011)“…Statistical and physical models have seldom been compared in studying grasslands. In this paper, both modeling approaches are investigated for mapping leaf…”
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Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland
ISSN: 0034-4257, 1879-0704Vydavateľské údaje: New York, NY Elsevier Inc 15.05.2008Vydané v Remote sensing of environment (15.05.2008)“…Radiative transfer models have seldom been applied for studying heterogeneous grassland canopies. Here, the potential of radiative transfer modeling to predict…”
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Identifying plant species using mid-wave infrared (2.5–6μm) and thermal infrared (8–14μm) emissivity spectra
ISSN: 0034-4257, 1879-0704Vydavateľské údaje: New York, NY Elsevier Inc 15.03.2012Vydané v Remote sensing of environment (15.03.2012)“…Plant species discrimination using remote sensing is generally limited by the similarity of their reflectance spectra in the visible, NIR and SWIR domains…”
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Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data
ISSN: 1726-4189, 1726-4170, 1726-4189Vydavateľské údaje: Katlenburg-Lindau Copernicus GmbH 04.09.2020Vydané v Biogeosciences (04.09.2020)“…Vegetation regulates the exchange of water, energy, and carbon fluxes between the land and the atmosphere. This regulation of surface fluxes differs with…”
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Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data
ISSN: 0034-4257, 1879-0704Vydavateľské údaje: New York, NY Elsevier Inc 15.02.2006Vydané v Remote sensing of environment (15.02.2006)“…The potential of canopy reflectance modelling to retrieve simultaneously several structural variables in managed Norway spruce stands was investigated using…”
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Mapping spatio-temporal variation of grassland quantity and quality using MERIS data and the PROSAIL model
ISSN: 0034-4257, 1879-0704Vydavateľské údaje: New York, NY Elsevier Inc 01.06.2012Vydané v Remote sensing of environment (01.06.2012)“…Accurate estimates of the quantity and quality of grasslands, as they vary in space and time and from regional to global scales, furthers our understanding of…”
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Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression
ISSN: 1366-5901, 0143-1161, 1366-5901Vydavateľské údaje: Abingdon Taylor & Francis 01.01.2013Vydané v International journal of remote sensing (01.01.2013)“…Hyperspectral remote sensing enables the large-scale mapping of canopy biochemical properties. This study explored the possibility of retrieving the…”
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Remote sensing of forest biophysical variables using HyMap imaging spectrometer data
ISSN: 0034-4257, 1879-0704Vydavateľské údaje: New York, NY Elsevier Inc 30.03.2005Vydané v Remote sensing of environment (30.03.2005)“…This study systematically evaluated linear predictive models between vegetation indices (VI) derived from radiometrically corrected airborne imaging…”
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LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
ISSN: 0924-2716, 1872-8235Vydavateľské údaje: Amsterdam Elsevier B.V 01.07.2008Vydané v ISPRS journal of photogrammetry and remote sensing (01.07.2008)“…The study shows that leaf area index (LAI), leaf chlorophyll content (LCC) and canopy chlorophyll content (CCC) can be mapped in a heterogeneous Mediterranean…”
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Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity
ISSN: 1726-4189, 1726-4170, 1726-4189Vydavateľské údaje: Katlenburg-Lindau Copernicus GmbH 25.01.2024Vydané v Biogeosciences (25.01.2024)“…Vegetation productivity is a critical indicator of global ecosystem health and is impacted by human activities and climate change. A wide range of optical…”
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An accurate retrieval of leaf water content from mid to thermal infrared spectra using continuous wavelet analysis
ISSN: 0048-9697, 1879-1026, 1879-1026Vydavateľské údaje: Kidlington Elsevier B.V 15.10.2012Vydané v The Science of the total environment (15.10.2012)“…Leaf water content determines plant health, vitality, photosynthetic efficiency and is an important indicator of drought assessment. The retrieval of leaf…”
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Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin
ISSN: 1607-7938, 1027-5606, 1607-7938Vydavateľské údaje: Katlenburg-Lindau Copernicus GmbH 19.10.2016Vydané v Hydrology and earth system sciences (19.10.2016)“…Canopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface…”
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Estimation of grassland biomass and nitrogen using MERIS data
ISSN: 0303-2434Vydavateľské údaje: 01.10.2012Vydané v ITC journal (01.10.2012)“…This study aimed to investigate the potential of MERIS in estimating the quantity and quality of a grassland using various vegetation indices (NDVI, SAVI,…”
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Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
ISSN: 1607-7938, 1027-5606, 1607-7938Vydavateľské údaje: Katlenburg-Lindau Copernicus GmbH 25.04.2019Vydané v Hydrology and earth system sciences (25.04.2019)“…Understanding the link between vegetation characteristics and tree transpiration is a critical need to facilitate satellite-based transpiration estimation…”
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