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...

one of the influential tools concerning the rangeland and vegetation sciences isthe technology of remote sensing and satellite data. satellite data have played essentialroles in preparing the needed information for studying the vegetation. vegetation has beenwidely recognized as one of the best indicators for determining the land conditions. usingvegetation indices is one of the techniques of r...

With the development of satellite technology, the application of remote sensing images becomes more and more significant. The coverage of a single remote sensing image is limited, so remote sensing images should be stitched into a larger image by overlapping region. SURF is a commonly algorithm for image mosaic, but the calculation of this algorithm is too heavy. Thus, we propose the method of ...

The Global Navigation Satellite System (GNSS) signals are always available, globally, and the signal structures are well known, except for those dedicated to military use. They also have some distinctive characteristics, including the use of L-band frequencies, which are particularly suited for remote sensing purposes. The idea of using GNSS signals for remote sensing the atmosphere, oceans or ...

ecological studies based on field data have shown that vegetation phenology follows a relatively well-defined temporal pattern. this pattern, that is reflecting the cumulative temperature from the date of the beginning of the growth, can be represented by the use of a suitable model. due to the spatial, temporal, and ecological complexity of these processes a simple method to monitor phenologic...

agriculture.unl.edu/ RESOURCES Precision farming is an emerging agricultural technology that involves managing each crop input on a site-specific basis to reduce waste, increase profits, and maintain the quality of the environment. Remote sensing is a technology that can be used to obtain various spatial layers of information about soil and crop conditions. It allows detection and/or characteri...

Robin Faivre 1,2,*, Jérôme Colin 1 and Massimo Menenti 2,3 1 ICube Laboratory, UMR 7357 CNRS-University of Strasbourg, F-67412 Illkirch Cedex, France; [email protected] 2 Department of Geoscience and Remote Sensing (GRS), Delft University of Technology, 2628 CN Delft, The Netherlands; [email protected] 3 State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital...

Decision tree classification algorithms have significant potential for remote sensing data classification. This paper advances to adopt decision tree technologies to classify remote sensing images. First, this paper discussed the algorithms structure and the algorithms theory of decision tree. Second, C4.5 basic theory and boosting technology are explained. The decision tree technologies have s...

The first synoptic images from space were provided by TIROS spacecraft with a video camera onboard in 1960 (Susskind et al. 1984), these images revealed a huge spheroid fully covered by oceans and clouds. There was still a long way to travel from simply picturing Earth to the current technological achievements of remote sensing science. However, the main scientific purposes of using remote sens...