Zobrazeno 1 - 10
of 46
pro vyhledávání: '"M. P. Stoll"'
Publikováno v:
Remote sensing of environment 107 (2007): 559–570.
info:cnr-pdr/source/autori:WANG, C., M. MENENTI, M. P. STOLL, E. BELLUCCO, M. MARANI/titolo:Mapping mixed vegetation communities in salt marshes using airborne spectral data./doi:/rivista:Remote sensing of environment/anno:2007/pagina_da:559/pagina_a:570/intervallo_pagine:559–570/volume:107
info:cnr-pdr/source/autori:WANG, C., M. MENENTI, M. P. STOLL, E. BELLUCCO, M. MARANI/titolo:Mapping mixed vegetation communities in salt marshes using airborne spectral data./doi:/rivista:Remote sensing of environment/anno:2007/pagina_da:559/pagina_a:570/intervallo_pagine:559–570/volume:107
The aim of this study is to evaluate a new neural network classifier using spectrally sampled image data to map mixed halophytic vegetation in tidal environments. The work is based on the concept of vegetation communities, mixtures of several species
Autor:
A. De Hatten, J. Bernard, Daniel Viville, J.-R. Colin, Nicolas Ringenbach, R. Luhahe, Pierre P. Kastendeuch, Georges Najjar, Françoise Nerry, M.-P. Stoll
Publikováno v:
Annales de l’Association Internationale de Climatologie. 2:41-54
Une campagne de mesures en climatologie urbaine a été réalisée durant l’été 2002 à Strasbourg dans le cadre du projet RECLUS. Parmi les sites de mesures, un échafaudage installé dans une rue a permis de réaliser des mesures continues de d
Publikováno v:
International Journal of Remote Sensing. 23:3443-3472
Algorithms for Land Surface Temperature determination from satellite data need incorporating pixel-wise emissivity values to take care of the variability of this parameter over land and achieve a high accuracy in the surface emissivity. This paramete
Publikováno v:
International Journal of Remote Sensing. 23:3473-3491
This work addresses the retrieval of AVHRR channel 4 and channel 5 emissivities from time series of images over two extended regions, one over Northern Africa and centred on Tunisia, the other centred on the Iberian Peninsula. The retrieval is based
Publikováno v:
Scopus-Elsevier
This paper is devoted to eliminating the noise from the measuring of directional thermal radiation for ground objects. Specifically, we think that the noise is mainly due to the variance of components in the field of view of the sensor with the view
Publikováno v:
Journal of Geophysical Research: Atmospheres. 104:31217-31224
During the Hydrologic Atmospheric Pilot Experiment (HAPEX)-Sahel experiment in 1992, thermal infrared multispectral scanner (TIMS) data were acquired from aircraft at an altitude of 600 m. The main steps to retrieve the surface relative spectral emis
Publikováno v:
Journal of Geophysical Research: Atmospheres. 104:22271-22285
On the basis of the method developed by Price [1990] for selecting a limited number of channels to best represent the high-resolution spectra of materials within a spectral region, this paper presents a simplified procedure to reconstruct such spectr
Publikováno v:
Remote Sensing of Environment. 69:197-214
The performance of six published methods for extracting relative spectral emissivity information from thermal infrared multispectral data has been evaluated. In the first part of this article, we recall those six methods and show mathematically that
Publikováno v:
Remote Sensing of Environment. 69:122-138
The performance of five published methods for extracting relative spectral emissivity information from thermal infrared multispectral data has been evaluated. In the first part of this article, we have recalled those five methods and shown mathematic
Publikováno v:
International Journal of Remote Sensing. 17:2089-2114
A study has been carried out using LOWTRAN-7 simulations of the Along-Track Scanning Radiometer (ATSR) data at 11 and 12 μm wavelengths to compare the merits of the multi-angle technique with those of the currently used multi-channel technique (spli