geothermal energy serves as a renewable and clean energy. thanks to its great advantages such as relatively harmless, low costs and environmental friendly, it may be a good substitute for fossil fuels. in the present study, a geothermal survey is conducted in an area prone geothermal ferdows of south khorasan province in eastern iran using etm+ data landsat 7 geo-referenced to topography map in...

The overall goal of this work is to refine, validate, and transition a spectrum-matching and look-uptable (LUT) technique for rapidly inverting remotely sensed hyperspectral reflectances to extract environmental information such as water-column optical properties, bathymetry, and bottom classification. The work also seeks to combine hyperspectral imagery and LIDAR bathymetry to improve the capa...

This paper summarizes the development and application of spatial statistical models in satellite optical remote sensing. The focuses on a conceptual model that includes measurement sampling processes inherent We organized this into five main sections: introducing basis sensing, including sampling; variation, variation through object-based data model; advances modelling; machine learning explain...

empirical models are important tools for relating field-measured biophysical variables to remotely sensed data. regression analysis has been a popular empirical method of linking these two types of data to estimate variables such as biomass, percent vegetation canopy cover, and bare soil. this study was conducted in a semi-arid rangeland ecosystem of qazvin province, iran. this paper presents t...

Data fusion methods are often employed to balance contradiction between spectral information and spatial information of remotely sensed images. The fused images formed by an effective data fusion method based on remotely sensed data should have both high spectral information preservation with Low Spatial Resolution (LSR) images and high spatial information preservation with High Spatial Resolut...

Remotely sensed images are the main source for a variety of mapping and change detection applications. Images from different satellites are employed in several of these applications. However, each type of these images has different resolution and orientation. Hence, they need to be co-registered before any meaningful utilization. The first step in the registration process is to find conjugate p...

Forests are the most widely distributed ecosystem on the earth, affecting the lives of most humans daily, either as an economic good or an environmental regulator. As forests are a complex and widely distributed ecosystem, remote sensing provides a valuable means of monitoring them. Remote-sensing instruments allow for the collection of digital data through a range of scales in a synoptic and t...

Current optical remote sensing instrument technology allows the acquisition and digitization of all of the reflected energy (light) across the full spectral range of interest. The current method for acquiring, transmitting, and processing this data is still based on the "multi-band" approach that has been used for the past thirty years. This approach was required due to limitations imposed by e...