Results 181 to 190 of about 16,756 (230)

Fuzzy clustering of a Landsat TM scene

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2003
Emerging new sensors deliver an ever increasing amount of remote sensing data. Classification still plays a key role in the automatic evaluation of these data. In this paper the characteristics of unsupervised fuzzy classification methods are examined and the results obtained from a section of a Landsat TM scene from the surroundings of Vienna are ...
R. Beichel, R. Bolter, A. Pinz
openaire   +1 more source

Narrowband to broadband conversion of Landsat TM glacier albedos

International Journal of Remote Sensing, 1999
In this paper we present an empirical relationship between the broadband glacier albedo (alpha) and the narrowband glacier albedos in Landsat TM bands 2 and 4 (alpha2 and alpha4, respectively). The relationship was established on the basis of multiple linear regression analysis of 112 ground-based simultaneous measurements of alpha, alpha2 and alpha4 ...
Oerlemans, J., Knap, W.H., Reijmer, C.
openaire   +3 more sources

Semantic Decomposition of LandSat TM Image

2006
In this paper, we propose a semantic supervised clustering approach to classify multispectral information in geo-images. We use the Maximum Likelihood Method to generate the clustering. In addition, we complement the analysis applying spatial semantics to determine the training sites and to improve the classification.
Miguel Torres Ruiz, Giovanni Guzmán, Rolando Quintero, Marco Moreno 0001, Serguei Levachkine   +4 more
openaire   +1 more source

Segmenting multispectral Landsat TM images into field units

IEEE Transactions on Geoscience and Remote Sensing, 2002
Presents a procedure for the automated segmentation of multispectral Landsat TM images of farmland in Western Australia into field units. The segmentation procedure, named the canonically-guided region growing (CGRG) procedure, assumes that each field contains only one ground cover type and that the width of the minimum field of interest is known.
Carolyn J. Evans, Ronald Jones, Imants D. Svalbe, Mark Berman 0002   +3 more
openaire   +1 more source

MODIS and Landsat TM scaling study on the evapotranspiration at mid-latitude

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
The sensible heat flux in a landscape at mid-latitude is calculated based on MODIS and Landsat TM satellite scenes. An aggregation model is used for the surface flux calculation. Satellite-based input maps from satellite on land cover type, leaf area index and radiant surface temperature are used.
Hasager, C.B., Jensen, N.O., Pilegaard, K., Boegh, Eva   +3 more
openaire   +2 more sources

Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products

Remote Sensing of Environment, 2015
Abstract Maintaining consistent datasets of Surface Reflectance (SR) is an important challenge to ensure long-term quality of Climate Data Records. The Landsat 5 and 7 archives offer a unique data source to monitor globally the land surface at high spatial resolution.
Martin Claverie, Eric Vermote, BELÉN Franch   +2 more
exaly   +2 more sources

Landsat TM analysis of vineyards in New York

International Journal of Remote Sensing, 1989
Abstract New York State vineyards could not be reliably identified through spectral classification of early- or late-season Landsat Thematic Mapper (TM) data. Mid-season TM data should be tested and supplemented with contextual information and post-classification smoothing.
LAURIE J. TROLIER, WARREN R. PHILIPSON, WILLIAM D. PHILPOT   +2 more
openaire   +1 more source

Automation of precise ortho-rectification of Landsat TM images

Proceedings of the 41st SICE Annual Conference. SICE 2002., 2003
In the conventional scheme of geometric correction, the selection of ground control points (GCPs) is a major obstacle to automation of geometric correction. The author proposed to use the correlation between ortho-rectified satellite image and simulated shading relief image made from DEM as the evaluation function for optimizing the geometric ...
openaire   +1 more source

Lithology Discrimination in Foreland Basin with Landsat TM

Journal of the Indian Society of Remote Sensing, 2011
The Kahramanmaras Foreland Basin (KFB) margins are formed by Paleozoic-Mesozoic limestone, metamorphic and ophiolite. This basin contains sandstone and claystone alternations with lesser amounts of reefal limestone, channelized conglomerates, debrites and slump deposits.
Gül M., Gürbüz K., Kalelioğlu O.
openaire   +2 more sources

Grossflächige Landnutzungsbestimmung Aus Landsat-5-TM-Daten

1989
Es wird uber eine experimentelle Auswertung von Landsat-5-TM-Daten be­richtet. Ziel dieser Arbeit war es, mit einem Ansatz fur ein groseres Gebiet Landnutzungsarten gleichzeitig zu bestimmenen. Die Nutzungsar­ten sollten aus dem Reflexionsverhalten in ubergeordneten und jahres­zeitlich unveranderlichen Klassen festgelegt werden.
H.-G. Klaedtke, Qi Li, H. Ziemann
openaire   +1 more source