Atmospheric correction impacts on the accuracy of satellite image-based land cover classification are a growing concern among scientists. In this study, the principle objective was to enhance classification accuracy by minimizing contamination effects from aerosol scattering in Landsat TM images due to the variation in solar zenith angle corresponding to cloud-free earth targets. We have derive...

Remotely sensed multitemporal, multisensor data are often required for change detection applications. A common problem associated with the use of these data is the grey value difference caused by non-surface factors such as different illumination, atmospheric, or sensor conditions. Such a difference makes it difficult to accurately detect changes using automatic methods. Effective image normali...

Agriculture drought occurs when moisture level in soils is insufficient to maintain average crop yields. Initial consequences are in the reduced seasonal output of crops & other related production. An extreme agricultural drought can lead to a famine, which is a prolonged shortage of food in a restricted region causing widespread diseases and deaths from starvation. Agriculture drought is mainl...

With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of t...

Locally computed statistics of image texture and a case-based reasoning (CBR) systemwere evaluated for mapping of forest attributes. Cluster analysis was preferred to regression models, as a pre-selection method of features. The best stand-based accuracy using satellite sensor images was 74.64 m 3 ha 1 (36%) RMSE for stand volume, 1.98 m 3 ha 1 a 1 (49%) for annual increase in stand volume, whe...

Topographic effect on remote sensed data in hilly and mountainous areas prevents from quantitative analysis, automated classification, scene segmentation and feature extract ion of satellite images. The feature and rules of topographic effect on digital remote sensing image are analyse~ and the models for topographic effect correction are described in this paper. Mainly the existing models for ...

This paper presents the findings of the impact of atmospheric effects when applied on satellite images intended for supporting archaeological research. The study used eleven multispectral Landsat TM/ETM+ images from 2009 until 2010, acquired over archaeological and agricultural areas. The modified Darkest Pixel (DP) atmospheric correction algorithm was applied, as it is considered one of the mo...

With the advancement of remote sensing sensor technologies, images of the earth’s surface have been collected at different spatial resolutions, in different spectral wavelengths (panchromatic, multispectral, hyperspectral), and with mono or stereoscopic views. The advancement of the technologies for geospatial information acquisition and extraction has allowed the generation of digital elevatio...

background and objectives: food security has been most important concern of the mankind on the earth. on the other hand, agricultural productions have always been face by risk probability in the case of weather and changes in international markets, however this risk probability never undeleted completely, but could be minimized that by pre-harvesting yield estimation. in this study, different m...

Ever-present spatial varying haze contamination in satellite scenes limits applications using visible and near infrared bands of low temporal resolution multispectral satellite imageries. A relative atmospheric correction technique: virtual cloud point (VCP) based on advanced haze optimized transformation (AHOT) is developed for haze removal. It is an improved algorithm of the previous dark obj...