Low soil fertility is one of the factors most limiting agricultural production, with phosphorus deficiency being among the main factors, particularly in developing countries. To deal with such environmental constraints, remote sensing measurements can be used to rapidly assess crop performance and to phenotype a large number of plots in a rapid and cost-effective way. We evaluated the performan...

Timely diagnosis of crop diseases in fields is critical for precision on-farm disease management. Remote sensing technology can be used as an effective and inexpensive method to identify diseased plants in a field scale. However, due to the diversity of crops and their associated diseases, application of the technology to agriculture is still in research stage, which needs to be elaborately inv...

Cloud contamination is one of the severest problems for the time-series analysis of optical remote sensing data such as vegetation phenology detection. Sub-pixel clouds are especially difficult to identify and remove. It is important for accuracy improvement in various terrestrial remote sensing applications to clarify the influence of these residual clouds on spectral vegetation indices. This ...

Remote sensing and GIS (geographical information systems) are very important methods for assessment of changes and development of ecosystems in the landscape level. This article deals with applying of remote sensing and GIS methods to assessment of ecosystems in agricultural landscape in the Horňácko region, extending to the White Carpathians Mountains Protected Landscape Area (Czech Republic)....

abstract a great part of iran’s area, especially yazd province is formed as deserted areas. kavir siahkooh is one of the most important desert areas of province. the researches show that the arid areas have an ideal condition for remote sensing and it can consider and show the plant coverage of the area .the aim of this study is to evaluate kavir siahkooh plant coverage and it’s comprise with t...

soil is one of the most important natural resources covering a large area of the land surface. soil plays a vital role in biosphere processes, such as energy balance, hydrology, biochemistry, and biological productivity. it supports plants that supply foods, fibers, drugs, and some other human needs. conversely, desert regions include about one third of earth lands and these regions have increa...

Hyperspectral remote sensing is an effective tool to discriminate plant species, providing vast potential to trace plant invasions for ecological assessments. However, necessary baseline information for the use of remote sensing data is missing for many high-impact invaders. Furthermore, the identification of the suitable classification algorithms and spectral regions for successfully classifyi...

sensors onboard meteorological satellites such as modis and avhrr are able to collect information adequate in frequency but with low spatial resolution. the problem can be overcome, if one finds a way to increase the quality of the vegetation indices through searching in each individual pixel of the images, employing concurrent higher spatial resolution images. the objective of this study was t...

a knowledge of soil surface conditions, especially desert crust, salt crust and desert varnish is useful for improving classification of remotely sensed data. desert crust can generate high levels of reflectance, similar to those areas with high salt concentration and non-saline soil. therefore, soil surface crusts might bias thematic remote sensing of soils. in this study, we evaluated the eff...