نتایج جستجو برای: images of tm satellite sensor 1989

تعداد نتایج: 21223251  

Journal: :journal of agricultural science and technology 2010
s. k. alavipanah m. saradjian gh. r. savaghebi ch. b. komaki e. moghimi

due to the hard climatic conditions of the yardang region in the lut desert, not much information about land surface temperatures of this region, one of the extremely arid cli-matic zones of iran, has been extracted. therefore, in this study in order to obtain some information about important surface features of the lut desert (marl, grey sand, bright sand and salt affected land), field tempera...

ژورنال: علوم آب و خاک 2006
امیر سررشته‌داری, ,

Of the applications of remote sensing and satellite images in natural resources is distinguishing and detection of changes in land surface. The image classification using Maximum Likelihood (MLC) is one the prevalent method which is used in a study of the application of TM and ETM+ satellite images to detect sediment deposition on an implemented floodwater spreading scheme. In order to implemen...

امیر سررشته‌داری, ,

Of the applications of remote sensing and satellite images in natural resources is distinguishing and detection of changes in land surface. The image classification using Maximum Likelihood (MLC) is one the prevalent method which is used in a study of the application of TM and ETM+ satellite images to detect sediment deposition on an implemented floodwater spreading scheme. In order to implemen...

2009
Ross Bryant Susan Moran Stephen A. McElroy

The National Aeronautics and Space Administration (NASA) Landsat program has been dedicated to sustaining data continuity over the 20-year period during which Landsat Thematic Mapper (TM) and Enhanced TM Plus (ETM+) sensors have been acquiring images of the earth's surface. In 2000, NASA launched the Earth Observing-1 (EO-1) Advanced Land Imager (ALI) to test new technology that could improve t...

Journal: :journal of agricultural science and technology 2010
a. farzaneh

forest classification on the basis of satellite images is a promising technique both for primary map production and for map updating and forest monitoring. for accurate for-est classification into three classes, using mapping by canopy cover density “high spatial resolution satellite images have to be used in order to obtain the required spatial detail” [schneider, 1999]. at the same time, the ...

Journal: :Remote Sensing 2022

Integrating satellite data at different resolutions (i.e., spatial, spectral, and temporal) can be a helpful technique for acquiring soil information from synoptic point of view. This study aimed to evaluate the advantage using mono- multi-sensor image fusion based on either spectral indices or entire spectra predict topsoil clay content. To this end, multispectral images acquired by various se...

Estimation of plant dry matter to management of rangelands fast as well as high accuracy is important for managers. Research aims to compare Plant Dry Matter Productivity (PDMP) values estimated by Normalized Difference Vegetation Index (NDVI) derived from satellite images BKA, KVA according to different levels of satellite image processing, for AL-Sweeda Badia (Syria), during the April, July o...

2015
Klaus Seidel

A new model for the correction of topographic effects in satellite images of rough terrain is described. The model simulates a synthetic image of the scene using a computer graphics approach which combines ray-tracing techniques with radiosity methods. Computation is structured on three levels: a macro level in which the image is described by the Digital Elevation Model and the light source, a ...

1997
Mihai Datcu Klaus Seidel

A new model for the correction of topographic effects in satellite images of rough terrain is described. The model simulates a synthetic image of the scene using a computer graphics approach which combines ray-tracing techniques with radiosity methods. Computation is structured on three levels: a macro level in which the image is described by the Digital Elevation Model and the light source, a ...

Journal: :تحقیقات آب و خاک ایران 0
سعید امامی فر کارشناس ارشد گروه مهندسی آبیاری و زهکشی پردیس ابوریحان دانشگاه تهران علی رحیمی خوب دانشیار گروه مهندسی آبیاری و زهکشی پردیس ابوریحان دانشگاه تهران علی اکبر نوروزی استادیار پژوهشکدة حفاظت خاک و آبخیزداری

the use of satellite data in an estimation of air temperature (ta) near the earth’s surface has turned into an effective way for a large area of high spatial and temporal resolution. throughout the present study, artificial neural network (ann) as well as m5 model tree were employed to estimate ta in khuzestan province (south west of iran), using satellite remotely sensed land surface temperatu...

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