نتایج جستجو برای: landsat 5 tm

تعداد نتایج: 1237461  

2006
Boris Escalante-Ramírez Alejandra A. López-Caloca

A methodology for image fusion based on the Hermite transform is presented. First, we demonstrate fusion with multispectral images from the same satellite (Landsat 7 ETM+) with different spatial resolutions. In this case we show how the proposed method can help improve spatial resolution. In the second case we show fusion with different sensor images, namely SAR and multispectral Landsat 5 TM. ...

Journal: :Remote Sensing 2015
Marouen Shabou Bernard Mougenot Zohra Lili-Chabaane Christian Walter Gilles Boulet Nadhira Ben Aissa Mehrez Zribi

Clay content (fraction < 2 μm) is one of the most important soil properties. It controls soil hydraulic properties like wilting point, field capacity and saturated hydraulic conductivity, which in turn control the various fluxes of water in the unsaturated zone. In our study site, the Kairouan plain in central Tunisia, existing soil maps are neither exhaustive nor sufficiently precise for water...

Journal: :Remote Sensing 2010
José A. M. Demattê Peterson R. Fiorio Suzana R. Araújo

The objectives of this research were to: (i) develop hyperspectral narrow-band models to determine soil variables such as organic matter content (OM), sum of cations (SC = Ca + Mg + K), aluminum saturation (m%), cations saturation (V%), cations exchangeable capacity (CEC), silt, sand and clay content using visible-near infrared (Vis-NIR) diffuse reflectance spectra; (ii) compare the variations ...

Journal: :Remote Sensing 2013
Sisira Ediriweera Sumith Pathirana Tim Danaher Doland Nichols Trevor Moffiet

The reflected radiance in topographically complex areas is severely affected by variations in topography; thus, topographic correction is considered a necessary pre-processing step when retrieving biophysical variables from these images. We assessed the performance of five topographic corrections: (i) C correction (C), (ii) Minnaert, (iii) Sun Canopy Sensor (SCS), (iv) SCS + C and (v) the Proce...

2010
Angélica Giarolla Yosio E. Shimabukuro José dos Campos

This study aimed to evaluate the response of the Normalized Difference Vegetation Index NDVI derived from Terra MODIS sensor to soybean phenology, in a grain producer region of Parana State, Brazil. Landsat TM and ETM+ images were selected to analyze the spatial distribution of soybean fields for this region from 2000/01 to 2006/07 crop seasons. Then pure pixel samples (250 x 250m) that contain...

2010
Li Guo Linlin Ge Xiaojing Li

The 2009 Victorian bushfires, also called the Black Saturday bushfires, ignited across the Australian state of Victoria on Saturday 7 February 2009, resulting in Australia’s highest ever loss of life from a bushfire. According to the Victorian Police, the bushfires caused at least 173 known deaths of people and 414 people injured. The use of multispectral Landsat Thematic Mapper (TM) data was a...

Journal: :Remote Sensing 2014
Vincent O. Odongo Nicholas A. S. Hamm Edward J. Milton

The paper provides an assessment of Tuz Gölü, a site in Turkey proposed for the radiometric vicarious calibration of satellite sensors, in terms of its spatial homogeneity as expressed in visible and near-infrared (VNIR) wavelengths over a 25-year period (1984–2009). By combining the coefficient of variation (CV) and Getis statistic (Gi*), a spatially homogenous and temporally stable area at le...

Journal: :AI Magazine 2008
Robert A. Morris John Gasch Lina Khatib Steven Covington

NASA and the US Geological Survey (USGS) are seeking to generate a map of the entire globe using Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor data from the “mid-decadal” period of 2004 through 2006. The global map is comprised of thousands of scene locations and, for each location, tens of different images of varying quality to chose from. Furthermore...

2012
Marcus Andersson Jerker Jarsjö

Phosphorus flowing via rivers into the Baltic Sea is a major source of nutrients, and in some cases the limiting factor for the growth of algae which causes the phenomenon known as eutrophication. Remote sensing of phosphorus, here using Landsat TM-data, can help to give a better understanding of the process of eutrophication. Since Landsat TM-data is used, this could form a basis for further s...

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