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We show an application of Moran's Index to process and analyze the waterbody-spread extracted from remotely sensed data. A method that is employed to quantify division-wise waterbody-spread, district-wise waterbody-spread and taluk-wise waterbody-spread spatial complexity is based on Moran's Index computation. The waterbody-spread data for each of the hierarchically partitioned geographical unit-wise...
Space-borne interferometric SAR has advanced significantly in the last decades, with many successful Earth monitoring applications. The key point of this success lies in the fact that interferometric SAR supplies unprecedented phase and amplitude information characterizing target's physical parameters. This paper presents the role of interferometric SAR, specifically considering the bistatic mission...
The paper provides an overview of the evolution of the Copernicus Sentinel-1 mission, which is part of the Copernicus European Earth Observation program. Following the successful launch and in-orbit Commissioning of Sentinel-1A in 2014 and Sentinel-1B in 2016, ESA is currently developing the Sentinel-1 C and D models. The paper addresses the expected improvements in system robustness and performance...
In this paper, we investigate making use of a convolutional neural network (CNN) to solve the task of identifying corresponding patches in very high resolution (VHR) optical and SAR imagery of complicated urban scenery. By doing so, the binary decision function is learnt directly from automatically generated training data and does not resort to any hand-crafted features. First evaluations show great...
We present a new method for the application of image-based river velocimetry. Our method is dedicated to high velocity river flows and it is based on an optical flow scheme. Unlike traditional Particle Image Velocimetry (PIV) methods, optical flow provides dense estimations and it is highly adaptable to different applications. We therefore propose a new physics-based optical flow derived from scalar...
Tropospheric ozone plays an important role in Earth's atmospheric environment and radiative balance. To assess the temporal variation of tropospheric ozone over Asia, ozone data from the Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST) were collected, evaluated, processed, and analyzed. Comparing TOST with ozonesonde station data and satellite data, there are good agreements...
Two independent remote sensing, ground-based active (LIDAR) and passive (satellite and sun-photometry) techniques, offers a great potential to monitor atmospheric aerosols with its observational frequency. The synergetic use of these techniques with analytic differential method was devoted to provide multi-dimensional distribution and temporal variations for atmospheric aerosols. From satellites and...
The entity's ID code is important for the identification information as well as the foundation of computer processing in spatial information organization and management system. Based on GeoSOT (Geographical coordinates Subdividing grid with One dimension integral coding on 2n-Tree) subdivision system, this paper puts forward a model for spatial entity's global unique ID code from three aspects of...
This study compares estimates of crop evapotranspiration (ET) from the Sacramento San Joaquin Delta (the Delta) for the 2014–2015 and 2015–2017 water years using seven estimation methods. In addition, direct field measurements of ET from bare soil and three crops (corn, alfalfa and pasture) were taken at several fields using eddy covariance and surface renewal stations. The project also included land...
Floods can have a devastating effect on critical infrastructures, especially in the case of cascading effects among multiple infrastructures such as the Healthcare Critical Infrastructure (CI), Electricity CI, Water supply CI, etc. To ensure a resilient Healthcare Critical Infrastructure, understanding the vulnerabilities and analyzing the interdependencies on other critical infrastructures is important...
A method of decreasing the uncertainty in validating moderate resolution remotely sensed Land surface temperature (LST) was established on a heterogeneity surface in Northwest China. Two Landsat-8 images and in situ measured data were used in the paper. The LST and multiband reflectance as well as the reflectance coefficient of variation have a significant regression relation. For two Landsat-8 images,...
Into the 21st century, the human exploration of the moon increasingly frequent, China, the United States, Russia, India, Japan and other countries have joined the ranks of lunar exploration which provided a lot of data. And the platforms of Digital Moon are rewritten based on third-party plug-ins, which is poor in real-time, operability and interaction. On this research the web platform of Digital...
Ships and ice monitoring is of key importance in numerous applications, such as maritime traffic control, prevention of illegal activities, climate change studies, and maritime security. In this work, the feasibility of near real-time ocean target detection from a constellation of spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) images is demonstrated by addressing the two following...
In this work, we have explored a new method which based on Bayesian assimilation for monitoring methane (CH4) emissions at different rice phenological stages. Specifically, we investigate two algorithms, one based on the ground-based radar scatterometer (GBRS) with full polarization (HH, HV, VH, and VV) and the other based on the mechanistic process of agricultural model concluded the parameters of...
The global forest covers over 30% of the Earth's landmass and plays a critical role in a number of global systems including the carbon cycle. Developing methods to track the carbon flow into and out of forests is necessary to gain a complete understanding of the global carbon cycle and, in turn, its effect on the climate. Remote sensing technologies such as satellite based passive optical remote sensing...
Sparse representation (SR) based hyperspectral image (HSI) classification is a rapidly evolving research topic. How to construct an optimized dictionary to better characterize spectral-spatial features of HSI is an important problem. In this paper, a novel spectral-spatial online dictionary learning (SSODL) method for HSI classification is proposed. The main idea is to learn a complete and discriminative...
In the hyperspectral remote sensing community, decision forests combine the predictions of multiple decision trees (DTs) to achieve better prediction performance. Two well-known and powerful decision forests are Random Forest (RF) and Rotation Forest (RoF). In this work, a novel decision forest, called Partial Least Square Forest (PLSF), is proposed. In the PLSF, we adapt PLS to obtain the components...
The primary objective of the SCMaP is to supply value added information about soils at three levels: 1) the spatial distribution of exposed soils; 2) temporal statistics of those soils; and, 3) a reflectance soil composite map. The SCMaP is designed for temperate climatic regions that comprise areas of extensive crop based agriculture where soils are commonly covered by vegetation. For the SCMaP satellite...
The NASA dual-frequency, dual-polarization, Doppler radar (D3R) is a weather radar operating at 13.91 GHz (Ku-band) and 35.56 GHz (Ka-band). The operational range of the D3R is 40 km, this relatively short operating range, along with the high sensitivity of D3R, are susceptible to increased observation of range ambiguous echoes, also referred to as “second-trip echoes”. In this work, by leveraging...
This paper reports the first results inferred from the investigation of sea clutter azimuthal variations and their dependence on the radar electromagnetic frequency. We summarize the results derived from the study of SAR data acquired simultaneously at X- and L-band by ONERA (The French aerospace laboratory) and compare them to results stemming from other experiments in the literature. The conclusions...
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