In the present study relationship between shrimp catch per unit effort (CPUE) and satellite-based environmental parameters, chlorophyll-a (Chl-a) and sea surface temperature (SST), was investigated in 27 stations in Bushehr provincial waters in the geographical position from E 50˚ 44´ and N 28˚ 59´ to E 51˚ 40´ and N 27˚ 33´, in July 2017 and July 2018. SST and Chl-a data were extracted from +E...

oceanographic images obtained from environmental satellites by a wide range of sensors allow characterizing natural phenomena through different physical measurements. for instance sea surface temperature (sst) images, altimetry data and ocean color data can be used for characterizing currents and vortex structures in the ocean. the purpose of this thesis is to derive a relatively complete frame...

The purpose of this paper is to attitude estimation of Nano-satellite which requires navigation sensors data to less cost function and effection movement of Nano-satellite focus of the research is to using data of navigation sensors and methods to achieve the requirement of the attitude estimation. in this paper the following attitude estimation of the according to direction of sun of the Nano-...

Long-term monitoring of regional and global environment changes often depends on the combined use of multi-source sensor data. The most widely used vegetation index is the normalized difference vegetation index (NDVI), which is a function of the red and near-infrared (NIR) spectral bands. The reflectance and NDVI data sets derived from different satellite sensor systems will not be directly com...

In this paper it's showed a comparative study between two techniques of satellite image classification. The studied techniques are the Maximum Likelihood statistical method and an Artificial Intelligence technique based in Neural Networks. The analyzed images were scanned by CBERS 1 satellite and supplied by Brazilian National Institute for Space Research (INPE). These images refer to Province ...

Image classification is often used to extract information from multi-spectral satellite images. Unsupervised methods can produce results well adjusted to the data, but that are usually difficult to assess. The purpose of this work was to evaluate the Xu internal similarity index ability to estimate the natural number of classes in multi-spectral satellite images. The performance of the index wa...

The studied region in this research (Alborz province) is structurally located in Alborz poly_orogenic system of northern Iran. The purpose of this research is combining the remote sensing and geology sciences to show fault lineaments by analyzing satellite data in a vast region and also comparison between lineaments layer and recognized faults in geology maps. Firstly, two scenes of Landsat ETM...

* Corresponding author and present address: Bangladesh Space Research and Remote Sensing Organization (SPARRSO), Agargaon, Sher-E-Bangla Nagar, Dhaka-1207, Bangladesh Abstract – Recent global climate change is the consequence of many human activities; deforestation in the tropics is one of them. The research estimated the amount of carbon flux due to forest cover change by combining satellite i...

analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. in this study, the land use maps in the ardabil plain in north-west part of iran for four periods (1989, 1998, 2009 and 2013) are extracted and analyzed through remote sensing technique, using the land-sat satellite images. t...