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The purpose of this paper is to provide decision support for the adjustment and optimization of crop planting structure in Jingxian County. The object-oriented information extraction method is used to...
Remote sensing data fusion has been playing a more and more important role in crop planting area monitoring, especially for crop area information acquisition. Multi-temporal data and multi-spectral ti...
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...
In recent decades, many spectral vegetation indices (SVIs) have been proposed to estimate the leaf nitrogen concentration (LNC) of crops. However, most of these indices were based on the field hypersp...
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...
Laser scanning is a new technology that provides accurate and dense 3D measurements from the object. Development of laser scanners and techniques has led to several successful applications in the fie...
Evaluation of new agricultural cultivars developed by plant breeders is a long and expansive process. Traditional methods based on field measurements over series of micro-plots are very time-consumi...
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...
The paper discusses evaluation of the productivity parameters of wheat crops from satellite data. It is considered such productivity parameters as biomass and crop yield. This paper analyzes results ...
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...

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