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Farmland fragmentation is a land use pattern contrary to land formula management. It would lead to farmland's shrinking and decentralization, and reduce the output efficiency. Carrying out spatial evaluation of farmland fragmentation is the premise and foundation of improving the land use efficiency. The paper selected Chaohu Basin as the research object, regarded 3km size grid as research unit, constructed...
This paper presents a change detection approach for high-resolution remote sensing image combined the pre-classification with the post-classification comparison. Firstly, a spectrum correction image is constructed on the basis of fusing the differential and ratio algorithm, which can alleviate the effects of single band's sensitivity. Secondly, a binary change mask is extracted from the spectrum correction...
Efficient surface soil moisture mapping is essential in precision agriculture application. Achieving efficient soil moisture monitoring is indispensable and meaningful. Cloud computing technology can enhance computational efficiency enormously. The geospatial web service was developed to assist agronomic decision making, and this tool can be scaled to any location and crop. By integrating cloud computing...
Sugarcane lodging monitoring in large area is a fundamental requirement for damage reduction, yield prediction and loss evaluation. Synthetic Aperture Radar (SAR), regardless of meteorological conditions, provides a promising tool to monitor the status of agricultural crops. The polarimetric features extracted from Polarimetric SAR (PolSAR) have proved to be sensitive to wheat lodging, but for sugarcane...
Drought is a major devastating natural disaster as it continues to impact the ecosystems and livelihoods for considerable duration of time, sometime for years. While Governments, Insurers and Farmers have shown significant interest in Weather Index Insurance (WII), basis risk remains a key challenge for making it effective and scalable. Correlations between critical parameters and yield hold the key...
The way to predict the high quality time series of soil moisture has important significance for scientific research and production practice. In this paper, a new method based on BP neural network and particle swarm algorithm (PSO) is established to predict the time series of soil moisture data obtained from wireless sensor networks. Experiment results show that our method has higher predicting accuracy...
The aim of this study is to compare the classification accuracy of multispectral Landsat 8 and hyperspectral EO-1 Hyperion satellite image data of the same region for agricultural purposes. Classification of hyperspectral remote sensing data is more challenging than multispectral data due to high amount of spectral information recorded in several image bands; therefore, Principal Component Analysis...
The segmentation of crop organs from 3D laser point clouds is an important prerequisite work of crop phenotypic parameters in non-destructive measurement. This paper respectively selected the 3D point cloud data of the rapeseed plant with leaf stage and pod stage as the research materials. A novel normal vector-based method for segmentation of the 3D point cloud is presented. First, a 3D scanner,...
In this paper, a active and passive microwave sensing combing algorithm is proposed, which merges L-band radiometer data and L-band radar data to obtain high-resolution soil-moisture in the premise that the soil roughness effect is not considered. The algorithm uses single-frequency single-incident angle measurements, considering effect of vegetation index (VI), establishs the relationship between...
Traditional method of visiting field and surveying farmers to estimate crop yield has been considered inefficient and impractical especially in cases when fields are not easily accessible. Remote sensing techniques, therefore, has been utilize to overcome these obstacles with good success. Normalize Difference Vegetation Index (NDVI) based models are considered to be most effective and utilized technique...
Rice is one of the most important staple food crops in China. Climate change is a major contributing factor leading to uncertainty and variability in rice growth. In this paper, we applied linear correlation analysis and multiple regression analysis to analyze the relationships between compound annual rice yield growth rates derived from remote sensing and GIS and climate change rates of temperature,...
With advances in agricultural technology and know-how, agricultural fields have increased by twelve percent and agricultural production has almost been doubled over the last fifty years. On the contrary these advances have also caused significant environmental change in many regions despite the increased food production. Hence, accurate information about irrigated lands is crucial in order to make...
Statistically relating vegetation index to yield is a common wheat yield estimation method. In this paper, we investigate the relationship between a variety of spectral vegetation indices and yield factors for spring wheat in a semi-arid, rain-fed, agricultural region under different meteorological conditions on the basis of relevant ground observations. We also analyze the yield estimation factor...
Solar radiation is assumed to be one of the main sources of photosynthesis, Irradiation time and radiation intensity both have impact on plant growth. The study use correlation coefficient to quantitative analysis relationship between solar radiation in growing season and grain yield per unit, and draw the conclusion that it does not necessarily that region with a high solar radiation has a large...
The leaf area index (LAI) provides critical information about vegetation density and vitality, and the temporal feature of field crops' green LAI could provide valuable information about the growing status, including environmental stresses, of crops. Quantitatively mapping the spatial and temporal variations of crop growth conditions has been enabled by the emerging of a large number of remote sensing...
The study of regional land surface soil water is a promising field in agricultural drought monitoring by remote sensing, and estimating soil moisture is one of the commonly used indicators in agricultural drought monitoring, based on this to establish Temperature Vegetation Dryness Index (TVDI) is an important method of reflecting agricultural drought condition, it refers to two parameters including...
It has long been recognized that soil moisture is a significant parameter of climatological, hydrological and ecological systems. In energy exchange and matter exchange between land surface and atmosphere, soil moisture is also a key state variable. It is very important to monitor soil moisture in large range for hydrological and meteorological process and laws research, as well as for agriculture...
A satellite remote sensing experiment, designed to test the difference in ratio vegetation index between continuous monoculture of rice and rotation of bean and rice, was carried out at Rudong between 2009 and 2010. The methods of analysis developed for this experiment are described in the present paper and demonstrated using ratio vegetation indexes of rice s. We conclude that the mean bean ratio...
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