emissivity mapping of the earth’s surface is the prerequisite to thermal remote sensing. a precise determinationof a surface's temperature is dependent upon the availability of precise emissivity data for that surface. the presentstudy area is a part of sugarcane plantation fields in the west part of khuzestan province. in this work, temperatureemissivity separation algorithm (tes) was applied ...

Today more than ever, archeological research is interdisciplinary: environmental sciences, pollen analysis, botany, soil science, and hydrology. In fact, the impacts of human behaviors on environment and environment on human behaviors can be studied through use of remote sensing technology. The use of this important technique gives archaeologists the opportunity to understand these impacts, whi...

This paper provides an overview of the methods in which geographic information systems (GIS) and remote sensing (RS) technology have been used to visualise and analyse data related to vectorborne diseases (VBD) in West Africa and to discuss the potential for these approaches to be routinely included in future studies of VBDs. GIS/RS studies of diseases that are associated with a specific geogra...

In remote sensing (RS) recognition, researchers usually utilize 2D image features to recognize different targets. However, it is always difficult to distinguish targets that have similar image contour but different height. It is because that 2D image contains only 2D contour information, while height information of a target has lost during the imaging process. In this paper, 3D-Zernike descript...

Validation of Remote Sensing Content-Based Information Retrieval (RS-CBIR) systems requires innovative strategies to overcome the scarcity of labeled data. CBIR systems validation by means of precision/recall measures based on either, user’s feedback or a-priori known categories, are hard to apply to RS-CBIR systems. We propose to apply a datadriven (unsupervised) quality assessment strategy an...

For optically deep waters, remote-sensing reflectance (r(rs)) is traditionally expressed as the ratio of the backscattering coefficient (b(b)) to the sum of absorption and backscattering coefficients (a + b(b)) that multiples a model parameter (g, or the so-called f'/Q). Parameter g is further expressed as a function of b(b)/(a + b(b)) (or b(b)/a) to account for its variation that is due to mul...

In automated remote sensing based image analysis, it is important to consider the multiple features of a certain pixel, such as the spectral signature, morphological property, and shape feature, in both the spatial and spectral domains, to improve the classification accuracy. Therefore, it is essential to consider the complementary properties of the different features and combine them in order ...

Wetlands which are the planet’s most important ecosystem have high scientific research -value and will bring us both social and economic benefits. However, duing to various natural and man made factors, more and more wetlands have converted to agricultural land and urban land. Now, the changes in wetlands’ area and quantity have caused public’s widespread concern. And wetland’s management and p...

abstract evapotranspiration (et) is one of the most important components of the water balance, it is also one of the most difficult to measure. despite the importance of et, methods to obtain values of et are still limited. conventional methods are very local, ranging from point to field scale. estimates of the et over the entire area, especially for irrigated areas, are essential, as these can...

Training a modern deep neural network on massive labeled samples is the main paradigm in solving scene classification problem for remote sensing, but learning from only few data points remains challenge. Existing methods few-shot sensing are performed sample-level manner, resulting easy overfitting of learned features to individual and inadequate generalization category segmentation surfaces. T...