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Fraction of vegetation coverage (FVC), an important index to depict the conditions of land covered by vegetation, is increasingly used in monitoring grassland degradation in ecological researches. Hulunbuir Steppe is one of the best grasslands in China. So, in this study, we set Xinbaerhuyouqi, Xinbaerhuzuoqi, Chenbaerhuqi, and Ewenkezuzizhiqi as the study area. Pixel Decomposition Models was introduced...
This paper aims characterized in the quantification of the air pollutants from fertilizer industry, in Rio Grande, south of Brazil. From samples collected in situ, radiometric data and hyperspectral imaging was possible quantify the regions which showed the largest precipitation of pollutants from the production of fertilizers. For soil samples, the values of sulfate, these results comprise a range...
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...
This paper used the revised BEPS ecological model to simulate net primary productivity (NPP) and evapotranspiration (ET) of terrestrial ecosystems in Lushui river watershed. Results showed that in recent years climate variability was mainly characterized by decrease in precipitation, especially in April, May and June (wet season). ET trended to increase in July, August and September (dry season)....
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...
Accurate measurement and characterization of fluctuations in the remote sensing data from satellite, airborne or in situ measurement are important. The adjacency effect increases the reflection of the target pixel from nearby pixels and path scattering. There are many mathematic models and atmospheric correction methods, which could remove the adjacency effect from the satellite and airborne imaginary,...
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 Integral Equation Model (IEM) predicts the normalized radar cross section (NRCS) of dielectric surfaces given surface and radar parameters. To derive the surface parameters from the NRCS using the IEM, the model needs to be inverted. We present a fast method of this model inversion to derive soil surface roughness parameters from synthetic aperture radar (SAR) remote sensing data. The model inversion...
Soil moisture is one of the major limiting factors that determine vegetation restoration in the semi-arid Loess Plateau. A grassland of 8.3 ha. above the gully line of valleys, was selected as a sampling field to analyze the spatial variation of soil moisture. Soil moisture in topsoil (0-20cm) and subsoil (40-60cm) at 107 sampling points were measured using oven-drying methods in the end of dry season...
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...
In this research, three field surveys were carried out in a typical semi-arid steppe in northern China, respectively on early July, late July and late August in 2008. During each survey, 80 plots established according to the cyclic sampling design were investigated, and three bio-parameters including LAI (Leaf Area Index), CWC (Canopy Water Content) and DW (Dry Weight) were measured. Temporalspecific...
Monitoring soil moisture dynamics, both in space and time, is important for understanding soil-vegetation-atmosphere interactions. Several operational satellite sensors could be used for monitoring soil moisture variations on a global scale. In this context, in this paper we investigated the potential of the Advanced Microwave Scanning Radiometer on Earth Observing System (AMSR-E), analyzing soil...
Microwave emission and scattering models require the parametrization of surface roughness. Traditionally this has been achieved by sampling the surface in transects. In this work, roughness is characterized from 3D surface models derived from ground-based LiDAR. The dataset consist 18 surfaces with varying roughness characteristics. 2D profiles extracted from the surface model constitute the baseline...
Estimation of roughness parameters of soil surface is one of the important problems in the field of radar remote sensing. In order to estimate these parameters from measured surface height-profile, data samples with sufficiently long record length are required for accurate estimation. In an actual measurement situation, however, it is difficult to get the surface height-profile in pure form because...
Soil is an important parameter on water quality, and plays a key role in water quality evaluation, especially for inland water. Many remote-sensing methods have now been developed to reverse soil concentration. However, in natural water, the existence of chlorophyll-a affects the soil concentration reverse precision. In order to remove the effect of chlorophyll-a, an experiment is designed in this...
The laboratory measurements of the diffuse spectral reflectance of 212 soil samples, representing many various taxonomic units, collected throughout the area of arable lands in Poland, were conducted to investigate the relationship between the soil reflectance and their selected properties. It was found that among various tested transformations the first derivative of the soil reflectance was the...
The objective of this study was to examine the vegetation response to the climatic variation in Guizhou province, Southwest China. The relationship between vegetation and climate change was investigated with Normalized Difference Vegetation Index (NDVI) (1982-1999) images derived from the Advanced Very High Resolution Radiometer (AVHRR), and climate data acquired from 19 meteorological stations in...
Soil organic matter (SOM) is an essential and dynamic variable in terrestrial ecosystem. This study used a method for mapping its spatial distribution by remote sensing technique. An image observed by Landsat 5 was used to estimate the spatial pattern of surface SOM in a town scale. The results showed that the concentration of surface SOM in study Jianshe town had a negative correlation (r =0.51,...
Combining the spectral vegetation index with thermal infrared information, Ts/NDVI triangle space can provide a promising measure in drought monitoring despite its regional and temporal dependence. A Ts/NDVI triangle space was constructed through Terra-MODIS NDVI and LST, and a triangle space based land surface dryness index VTCI was utilized to explore the dryness monitoring in Heilongjiang province...
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