نتایج جستجو برای: and satellite images

تعداد نتایج: 16867556  

درویشی, آصف, سفیانیان, علیرضا , فاخران, سیما , قربانی, مهدی ,

Large scale land use/cover changes and habitat fragmentation have been associated with the decline of many wildlife populations in ecological sensitive regions. The main goal of this study was to quantify the spatial pattern changes in Caucasian Black Grouse habitat in Arasbaran Biosphere Reserve, Northwest of Iran in a period of 24 years (1987–2011). Caucasian black grouse (Tetrao mlokosiewicz...

Abstract The extention of Snow cover and its spatial and temporal changes considered as a basic parameter in climatic and hydrologic studies. Data from satellite images due to the low cost and the large extention of cover are, effectively help the identifying of the snowy basins. Since the satellites are able to imaging a surface at different times, this will allow snow survey studies to inves...

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...

2007
Pao-Chi Chang Tzong-Lin Wu

Super-resolution techniques that process multiple images to achieve resolution enhancement for satellite images are very important. This work utilizes Vandewalle method to realize super-resolution for satellite images. Assuming the motions between images are all on the same plane, we estimate and stick images into the high resolution grid. Because of the huge size of satellite images, only part...

2002
Liang-Chien CHEN

As the resolution of satellite images is improving, the applications of satellite images become widespread. Orthorectification is an indispensable step in the processing for satellite images. EROS A is a high resolution imaging satellite. Its linear array pushbroom imager is with 1.8meter resolution on ground. The satellite is sun-synchronous and sampling with asynchronous mode. The main purpos...

2014
S. Prabu Manthira Moorthi

The Images obtained through remote sensing systems are not often sufficient for high precision applications due to various distortions. The distortions can be due to errors like geometric errors, etc. Also multi-date satellite images of the same area under different conditions are difficult to compare because of change in atmospheric propagation, sensor response and illuminations. Keeping these...

Drought is a natural and climatic phenomenon that occurs in world wide areas every year and occurrence becomes an inevitable issue. This phenomenon is impaired in ecosystem. Arid rangeland ecosystems are a significant part of our land that is brittle systems that climatic changes are useful to simply unfounded destruction. Therefore, drought identifying and monitoring valid descriptive statisti...

2014
Anil K Goswami Swati Sharma Praveen Kumar

Classification of satellite images plays a vital role in remote sensing applications. Numerous algorithms have been developed and tested to classify a satellite image. The main purpose of these algorithms is to lessen the human efforts and errors in minimum time. Classification is performed on satellite images for various purposes. This paper presents a framework to classify a satellite image b...

Remote sensing technology is one of the most efficient and innovative technologies for agricultural land use/cover mapping. In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. This approach make use of spectral, environmental, physical and geometrical characte...

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