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A comprehensive spatial and temporal validation of long-term dataset of SMOS (Soil Moisture and Ocean Salinity) and Aquarius-derived soil moisture estimates was made using two in situ networks (REMEDHUS and Inforiego) within the Duero River Basin (Spain). Results from comparison with in situ show that the SMOS L2 product has better accuracy (with values of R>0.8 and cRMSD<0.04 m3m−3) than Aquarius...
Soil Moisture and Ocean Salinity (SMOS) satellite has been providing surface soil moisture (SSM) and ocean salinity (OS) retrievals at L-band for five years (2010–2014). During these five years, the SSM retrieval algorithm i.e. the L-MEB (L-Band Microwave Emission of the Biosphere [1] model has been progressively improved and hence results in different versions of the SMOS SSM products. This study...
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...
This study aims at presenting the results of a correlation analysis between the COSMO-SkyMed X-band backscattering coefficients (σ0) at VV and VH polarization and the DEIMOS-based Normalized Differential Vegetation Index (NDVI), carried out over carrot and pea fields. The analysis shows a significant higher correlation at VH (R=0.70 and R=0.65 resp.) than at VV polarization (R=0.15and R=0.32 resp...
The knowledge of snow depth (SD) and snow water equivalent (SWE) is fundamental for water resources management and weather and flashflood forecast, among other things. Snow also strongly influences the global energy balance because of its high reflectivity, insulation properties, and the amount of latent heat consumed during melting. Data collected at global scale by space-borne passive microwave...
This paper addresses a cardanic frame as mechanical-compensation device for a Doppler-wind lidar installed on a floating sea buoy as the “moving” lidar. From the methodological point of view, the horizontal wind speed (HWS) measured by both a reference lidar (i.e., “fixed”) and a floating lidar (i.e., “moving”) with and without a cardarnic frame is cross-examined by using standard statistical indicators...
As multipaths still represent a major problem for reaching precise GNSS positioning, the mitigation of their influence has been widely investigated. However, previous studies have lately proposed to use these interferences of GNSS electromagnetic waves to estimate parameters related to the reflecting surface (e.g., antenna heights, rugosity,…). Variations of the nature of the surface is likely to...
We show an application of Mahalanobis Distance to compute the degree of similarity between the bi-variables corresponding to two regions. The bi-variables considered include areas of each district and the areas of wetland regions within each district o f a Division-A and similar variables for each district of another Division-B. We considered four political divisions of state Karnataka that include...
Matching of repeat optical satellite images is a powerful tool for the analysis of glacier movement. Due to the rapid growth of earth observation data archives there is an increasing potential for regional glacier flow studies on a decadal scale. However, exploitation of these image collections is hindered by the currently manual pre- and post-processing steps required. Automating these steps, and...
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...
In order to exploit the currently continuous streams of massive, multi-temporal, high-resolution remote sensing datasets there is an emerging need to address efficiently the image registration and change detection challenges. To this end, in this paper we propose a modular, scalable, metric free single shot change detection/registration method. The approach exploits a decomposed interconnected graphical...
In this paper, we evaluate the generalization power of deep features (ConvNets) in two new scenarios: aerial and remote sensing image classification. We evaluate experimentally ConvNets trained for recognizing everyday objects for the classification of aerial and remote sensing images. ConvNets obtained the best results for aerial images, while for remote sensing, they performed well but were outperformed...
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...
In the context of sea and ocean monitoring from (single polarization) SAR images, an innovative approach in the handling of azimuth ambiguities is here described. The purpose of this paper is to provide a theoretical explanation of the method briefly presented at IGARSS 2013 [1], and suggest applications in coastal and maritime traffic monitoring. The work is developed in the context of the project...
Ocean wave conditions impact navigation, offshore operations, recreation, fisheries, safety of life at sea and hence the economic stability of any country’s maritime sector. Making accurate measurements of wave conditions will help validate wave models and will help with forecasts of the wave conditions over the next few days. The United States has put forth “A National Operational Wave Observation...
In order to map the spatial extent and location of slum settlements multiple methodologies have been devised including remote sensing based methods and field based methods using surveys and census data. In this study we utilize spatial, structural, and contextual features (e.g., PanTex, Histogram of Oriented Gradients, Line Support Regions, Hough transforms and others) calculated at multiple spatial...
In coastal waters, accurate remote sensing retrieval of Chlorophyll-a (Chl-a) is challenging. In a spatially complex urban coastal region like Hong Kong, the development of a single Chl-a estimation algorithm over whole region is unrealistic. In such case the best strategy will be to develop an individual algorithm for each water type to precisely estimate Chl-a concentration. Therefore, to define...
Significant temporal correlation of multi-temporal remote sensed images presents an opportunity to use historical images for predicting the recent image. This paper investigates the possibilities of predicting the current image from a reference previous image using linear regression after change detection. Single linear regression model for temporal prediction is usually used for the images that are...
Based on MODIS-NDVI data, taking Shaaxi and Gansu provinces as examples, this paper explored the correlation between different grades of winter wheat growth and main meteorological factors at 7 different phenophases. The growth condition of winter wheat from sowing to maturity stages from 2011–2012 were assessed based on MODIS-NDVI data, then, the lag correlation between different grades of winter...
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