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Precision agriculture has always been the research hotspot around the world. And the optimization of nitrogen fertilization for crops is the core concerns. It is not only to improve the productivity o...
A multi-temporal/multi-sensor field experiment was conducted within the Soil Moisture Measurement Stations Network of the University of Salamanca (REMEDHUS) in Spain, in order to retrieve useful infor...
Monitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitorin...
When we estimate the land surface variables by remote sensing model inversion, a priori knowledge is needed for given the initial values of the model parameters to be retrieved. In this paper, based o...
There are several studies on tequila agave (Agave tequilana Weber variety blue) regarding its physiology, diseases, and environmental conditions. However, there are not documented studies on the use o...
This paper presents field-based classifications performed using the multi-resolution images of SPOT4 XS, SPOT5 XS, IKONOS XS,QuickBird XS, and QuickBird Pansharpaned (PS) covering an agricultural area...
The global characterization of ecosystems is not a new research topic; however, there still is room for improvement in the detail of the feature being mapped and the phenomena being analyzed. In add...
A method for classifying agricultural crops using multi-temporal, multi-spectral and multi-source remotely-sensed data is described. The procedure characterises all the pixels in a scene by considerin...
Synthetic Aperture Radar (SAR) sensors have great potential for a wide range of agricultural applications, owing to their capability of all-weather observation. It is particularly useful in tropical r...
High resolution satellite images are associated with large variance and thus, per pixel classifiers often result in poor accuracy especially in delineation of horticultural crops. In this context, obj...
Hyperspectral remote sensing helps to acquire information about the status of agricultural crops to allow optimized management practices in the context of precision agriculture. Due to technological i...

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