The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Proper determination of light use efficiency (LUE) is a prerequisite for LUE models to simulate gross primary productivity (GPP). This study was devoted to apply the photochemical reflectance index (PRI) to accurately track LUE variations for a sub-tropical coniferous forest using tower-based PRI and GPP measurements. To improve the ability of PRI to track LUE, a simple two-leaf approach is used to...
Many previous studies attempted to extract prior reflectance anisotropy knowledge from historical Bidirectional reflectance distribution function (BRDF) product based on normalized difference vegetation index (NDVI) data. However, the correlation between reflectance anisotropy and NDVI is still controversial. This study used BRDF archetypes to represent different reflectance anisotropy, and analyzed...
The effect of canopy structure on the remote sensing of foliar nitrogen content has been debated in recent years, due to the uncertain mechanism of estimating foliar nitrogen content through canopy reflectance in the near-infrared region. Although this effect was investigated using the radiative transfer modeling of canopy structural influence, the complicated modeling implementation is still of limited...
Canopy water content (CWC) is one of the most important biochemical properties of plants, which can be estimated from remote sensing data conveniently by using vegetation water indices. This paper started from the analysis of some existing indices and then proposed two novel indices to estimate CWC. First, the area under part of near infrared and shortwave infrared reflectance curve were calculated...
UAVs platforms are promising for agricultural monitoring since they offer operating flexibility, very high spatial resolution and acquisition costs suitable for frequent on demand monitoring of crop field. In this work we carried out an experimental flight over a rice field in Lombardy region, northern Italy, to test the correlation between reflectance in the spectral channels and vegetation indices...
Recent studies have debated over the effect of canopy structure on the remote sensing of foliar nitrogen content. Although previous work reported on the radiative transfer modeling of canopy structural influence, the modeling implementation is still of limited use in the hyperspectral community. This study proposes to use a multi-scale tool, continuous wavelet analysis, to decompose the spectral responses...
Goal of this paper is mapping the 1 μm from the OMEGA spectra in order to study the Martian iron mineralogy. This study is based on the results of Carrozzo et al. [1]. Goal of this paper is to map the 1 μm absorption signature in OMEGA spectra, in order to study the Martian mineralogy. In particular, we search for new spectral indices around the 1-μm absorption and the correlations between them. Due...
Qinghai Lake, which is the largest salt water lake in China and a major obstacle in the burgeoning Eastward desertification from West China, has a vital role in the ecological sustainability of Tibetan Plateau. From the ecological perspective, the environment of Qinghai Lake became worse since the end of last century, while due to its remoteness, the field surveys in this area are difficult to carry...
Quantitative estimation of vegetation water content with remote sensing technique is of great significance for vegetation physiological status and growth trend monitoring. It also provides a theoretical foundation for actual application of vegetation water content diagnosis using remote sensing images in Wild Duck Lake wetland. In this paper the NDVIs and SRs calculated from simulation WorldVeiw-2...
Spatial distribution of farmland organic is essential for soil fertility adjustment, land-use change and sustainable development of agriculture. It is important to develop a rapid method for mapping farmland organic matter at county scale using remote sensing technology. The HJ-1A HSI image used in the paper has 115 bands, which result in good response to soil organic matter. With the support of in-situ...
Crop growth monitoring is critical in yield estimation and prediction. In this paper, the authors investigated several indicators for crop growth monitoring by remote sensing at different scales. The experiments were conducted in a study area in Hebei province in North China Plain. The target crop in this research is winter wheat, which is one of the important grain crops in China. The study at canopy...
Narrowband spectral indices have largely been used for the estimation of biochemical attributes of vegetation. However, most of the proposed indices were developed using a limited number of species and locations. In this study, a strong precipitation gradient in northern savannas of Australia was used to develop narrowband spectral indices for the estimation of leaf chlorophyll content and verify...
The reflectance of rice that infects different severity leaf blasts was measured through artificial inoculation and disease index (DI) of the rice corresponding to the spectra which were acquired in the field. The correlation between DI and the first derivative data was analyzed. The estimation models of DI were built using regression methods, and RMSE were used to test its precision. The result showed...
Through a lot of ground to investigate, collect a large number of semi-fixed, fixed and mobile sand-like region of the corresponding point of the value of the spectrum, the formation of its spectral characteristics of the curve, in combination with TM remote sensing image is reflected in the spectral features characteristic of the sand The type of inter-band gray, as well as changes in the value of...
When investigating the pollen dynamics of agro-ecosystems and assessing the risk of pollen contamination from transgenic to non-transgenic crops, it is necessary to monitor pollen release. The objective of this study is to evaluate the possibility of using band ratio to model pollen dynamics during the maize flowering season. The temporal change of R520/R577 had the best relationship with the pollen...
With the emergence of hyper-spectral remote sensing technology, plant remote sensing monitoring has been developed rapidly, the study on the correlativity between trace elements and the spectrum character of plants is one of important components of quantitative remote sensing, in order to research the influence of lead-zinc ore on plants growth and reflection spectrum,This paper analyzed the spectra...
In this paper, we choosed De-xing copper mine as study area, collected canopy spectral data and determined the heavy metal concentration in Comnyza Canadensis (L.) Cronq leaves. These plants in background field have significant spectral feature, such as the low reflectance, the biggest absorption valley depth and the largest red valley area. Compared with spectral feature of Comnyza Canadensis (L...
This study aims to quantify the relationship between field Black soil hyperspectral reflectance and soil moisture at different depth. The stepwise regression predicting model of soil moisture at different depths was built with the spectral derivatives as independent variable, and the models were evaluated with root mean square error (RMSE) and determining coefficient. The results are as follows: (1)...
The nutrient status of Spartina Anglica should be monitored dynamically in order to manage scientifically it, enhance conserve level, and improve its productivity. The author chose leaf spectra of Spartina Anglica located in the same sample plot and tested leaf reflectance and extracted chlorophyll a, b, and chlorophyll a and b concentration for leaf, stem, and mixture of leaf and stem. Seven single...
Precision agriculture needs surface soil moisture information accurately and quickly. Hyper-spectral remote sensing can be used to detect slight differences in soil moisture because of high-resolution and multi-band in spectral. Taking black soil in Jilin Province of China as the research object, this paper analyzed soil hyper-spectral characteristics and extracted parameters by using methods of spectral...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.