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The database helps to better understand and quantify the effect of F/T and snow on the L-Band signal. The information will be useful for the validation and calibration of satellite based products. The database will also be used to validate and calibrate different L-Band snow emission models [3–4–5].
Soil temperature is one of the essential variables governing the land atmosphere interaction. In this study, we proposed a statistical algorithm to retrieve the surface soil temperature from AMSR-E brightness temperature (TB) observations. The algorithm was developed based on the regression relationship between AMSR-E TB and corresponding in situ soil temperature observed at the Naqu network in the...
Archaeological studies using computer vision based analysis methods on thermal imageries mainly lack an important stage of pointwise detection of artifact positions, which is needed for the automation of the system in a generic application. In this paper, we propose a pointwise detection method working in the thermal range of hyperspectral band for archaeological artifacts. The proposed method first...
Recent theoretical and experimental studies have indicated the feasibility of passive microwave L-band observations for observing dry snow cover characteristics, namely snow density in the lower approx.. 10 cm of the snowpack. The sensitivity of L-band emission to snow density is based on the dual influence of refraction and impedance matching on observed brightness temperature with changing effective...
An experiment to examine the detectability of volcanic ash cover and its thickness by using L-band synthetic aperture radar (SAR) was carried out. Test sites with 0, 10, 20, and 40 cm ash layers were developed. PALSAR-2 and Pi-SAR-L2 observations were carried out several times with and without the ash cover. The PALSAR-2 backscatter coefficients in HH polarization, σHH0, for soil with ash layers are...
Crop water requirement is very important for water cycle and is a determinant factor for the accurate estimation of water and heat flux in the Soil-Plant-Atmosphere Continuum (SPAC). In arid regions, quantitative estimation of crop water requirement is the base of appraising terrestrial NPP, regional water consumption, soil water transport, crop production, and land use under changing climate. In...
State of the art soil moisture radar retrieval algorithms traditionally depend on substantial amounts of ancillary data, such as land cover and soil texture/composition maps, to parametrize complex electromagnetic models. In this work, we pursue an existing empirical approach as an alternative; it expresses radar backscatter of a vegetated scene as a linear function of soil moisture, thus reducing...
The potential hazard of heavy metals in reclaimed mine soil has been attracted more and more attention. Hyperspectral inversion can be applied to predict the heavy metal content of the soil effectively. Three machine learning methods, Support Vector Machine (SVM), Random Forest (RF) and Extreme Learning Machine (ELM), are introduced in this paper, and then are compared with the Partial Least Squares...
Inversion of FeO and TiO2 by passive microwave radiometer not only provide support for high-precision quantitative inversion of lunar surface material component by optical remote sensing but also explore resources among the deep lunar regolith better. Using CE-2's passive microwave data, the daytime microwave map of the Moon is calculated based on the hour angle. The lunar regolith radioactive transfer...
Dynamic landscapes, such as the Yellow River Basin in China, require consistent and precise land use and land cover information to better understand the prevailing changes and underlying factors, which are lacking so far. In this study, we derived novel and accurate multi-temporal land cover products, delineating the land surface characteristics from the last decade based on high-temporal MODIS time...
We prove the possibility of creating a temperature dependent multi-relaxation spectroscopic dielectric model (TD MRSDM) for a set of organic soil containing 50% (Yamal tundra), 80% (Alaskan tundra) and 90% (boreal pine litter) of organic solids. The created model is based on the previously developed TD MRSDM for the Yamal tundra soil complemented with specific temperature dependences for the hydrological...
Post-bushfire hillslope erosion is a major threat to soil health, water quality and ecosystem function. It can cause catastrophic impacts if followed by heavy storm events. Quantitative and timely assessment of hillslope erosion after bushfires during individual storm events is essential but remain a research challenge. We aimed to develop validated methodology to predict hillslope erosion in near...
Flood is one of serious natural disasters in the word. Synthetic aperture radar (SAR) has become a popular tool to detect the flood disaster for its distinct benefits such as retrieval of surface information, penetrability, and availability in all weathers. This paper aims to analyze microwave scattering characteristics of soil from low water content to semi-flooded status based on ground-scatterometer...
Soil respiration (Rs) is a major CO2 flux within terrestrial ecosystems. This study examine the feasibility of applying HJ-1 CCD data to analyze the growing-season variations of Rs in two irrigated cropland ecosystems. At growing season time scale, crop biophysical parameters, such as leaf chlorophyll content (Chlleaf) and green leaf area index (GLAI), explained most Rs variation in the maize and...
Documenting liquefaction surface effects is necessary both to validate and to refine existing liquefaction models. Post-earthquake liquefaction data collection historically relies on field investigation and is often spatially limited and incomplete [4]. Areas that are not near centers of population or major transportation routes are often neglected. Pre- and post-earthquake satellite images enable...
In order to improve European biodiversity, natural habitats need to be restored and improved within a large European network of protected areas (Natura 2000). Therefore, agricultural land often needs to be converted to nature. Lowering soil nitrogen and phosphorus levels appears to be a necessary prerequisite for a successful restoration. To select which agricultural fields are most suitable for conversion...
Spectral water absorption reflectance features of soils are examined with respect to their relationship to soil water content. Three soil samples, selected to represent a variety of soil properties, were monitored as the samples progressed from fully saturated to air dry. Two water absorption band features in SWIR were observed and selected as metric to relate water content changes. Counterintuitively,...
Conventional methods for classifying SAR data, such as H-α decomposition, Wishart classifier etc. are quite complex and classifies data only on the basis of polarimetric information. With the advent of distinct feature types, their role in land cover classification using SAR data could be analysed. For the sake of classification, researchers are extracting and combining several features in order to...
Permafrost soils have been shown to respond rapidly to warming temperatures. When ice-rich permafrost soils thaw, the melting ground ice reduces the volume and stability of the soils, inducing changes in the topography. We monitor surface elevation changes in three test sites in Northern Eurasia using single-pass TanDEM-X Science Phase data with submetre vertical precision. The results indicate the...
The “High resolution temperature and spectral emissivity mapping” (HiTeSEM) initiative aims at developing a conceptual instrument design for a hyperspectral thermal satellite to find answers for the most pressing research and data requirements within the scope of Food Security and Human Health. The satellite is proposed to consist of two long-wave infrared (LWIR) sensors, (1) a hyperspectral system...
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